Journal articles on the topic 'High school graduation; High school dropout; Graduation prediction'

Early warning systems use school record data— such as attendance rate, behavior records, and course performance—to identify students at risk of dropping out. These are useful predictors of graduation-related outcomes, in large part because they indicate a student's level of engagement with school. However, these data do not indicate how invested students are in education—information that could help school counselors and other staff understand and intervene when students are falling off the path to graduation. To examine whether student engagement surveys have additional predictive value beyond data readily available in school databases, we followed a cohort of students, who completed a survey of cognitive/affective engagement as ninth graders, to one year beyond their expected high school graduation. Some engagement factors measured by the survey met rigorous tests of predictive value in terms of identifying which students were falling off the graduation path, even when controlling for other powerful predictors of the outcome.

Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research Methods: Using longitudinal student records data from the North Carolina Department of Public Instruction, this article assesses modern prediction techniques, with a focus on tree-based classification methods and support vector machines. These methods incorporate 74 predictors measures from Grades 3 through 8, including academic achievement, behavioral indicators, and socioeconomic and demographic characteristics. Findings: Two of the assessed classification algorithms predict high school graduation and dropping out correctly for more than 90% of an out-of-sample student cohort. Findings reveal a shift toward lower dropout incidence in regions hit hardest by the economic recession of 2008, especially for male students. Implications for Research and Practice: Machine-learning procedures, as demonstrated in this study, offer promise for allowing administrators to reliably identify students at risk of dropping out of school so as to provide targeted, intensive programs at the lowest possible cost.

Purpose The purpose of this paper is to consider the enrolment at university and the subsequent possible dropout as a piece of the school-to-work transition and ask whether it improves or worsens the labour market outcomes a few years after graduation from the high school. Design/methodology/approach The analysis exploits data from the upper secondary graduate survey by ISTAT on a cohort of high school graduates and investigates the effect of dropping out four years after graduation. The labour market outcomes of university dropouts are compared to the outcomes of high school graduates who never enrolled at university. A propensity score matching approach is applied. The model is also estimated on the subsamples of males and females. Findings The findings show that spending a period at university and leaving it before completion makes the transition to work substantially more difficult. Both the probability of being NEET and getting a bad job increase in the case of dropout, while no relevant effect is found on earnings. Moreover, the impact of university dropout tends to be more harmful the longer the spell from enrolment to dropping out. Separate estimates by gender point out that females appear to be relatively more affected in the case of dropping out without a fallback plan. Originality/value While the existing studies in the literature on the school-to-work transition mostly focus on the determinants of the dropout, this paper investigates whether and how the employment outcomes are affected by dropping out in Italy. Moreover, university dropouts are compared to high school graduates with no university experience, rather than to university graduates. Finally, evidence on the mechanisms driving the effect of dropping out is provided, by considering timing and motivations for dropping out.

This article examines how the rise in incarceration and its disproportionate concentration among low-skill, young African American men influences estimates of educational attainment in the United States. We focus on high school graduation rates and the persistent gap in attainment that exists between young black and white Americans. Although official statistics show a declining racial gap in high school dropout in recent years, conventional data sources exclude the incarcerated population from sample data. We show how those exclusions underestimate the extent of racial inequality in high school graduation and underestimate the dropout rate among young black men by as much as 40 percent. America’s prisons and jails have become repositories for high school dropouts, thereby obscuring the degree of disadvantage faced by black men in the contemporary United States and the relative competitiveness of the U.S. workforce.

Many states now require students to demonstrate basic skills as a requisite for high school graduation, and this often means students must achieve passing scores on a minimum competency test (MCT). Educational researchers have speculated that increased academic standards for graduation, as manifested in MCTs, will have adverse effects on students, particularly at-risk, disadvantaged students. The purpose of this study was to examine the relationship between MCT performance and high school dropout behavior. The results indicated that failure on an MCT provided a statistically significant increase in the likelihood of leaving school, but only for students who were doing well academically. Students with poorer academic records did not appear to be affected by MCT failure; similarly, minority students did not demonstrate an increased likelihood of leaving school as a result of failing an MCT.

I estimate the effect of extracurricular participation on the high school dropout decision with a particular focus on at-risk students. Using a sample of tenth grade students from the National Education Longitudinal Study of 1988, I jointly estimate the dropout and participation decisions (including extracurricular offerings per student), and eligibility requirements as instruments for extracurricular participation. I include an interaction between the participation and at-risk indicators in the dropout equation because past disadvantages may differentially affect at-risk students. I also estimate alternative specifications to identify the effect of participation in different types of activities. Local average treatment effect estimates range from 14 to 20 percentage points, indicating that participants are significantly less likely to drop out of high school than they would have been if unable to participate, with similar estimates for both at-risk and not-at-risk students. These findings are relevant to policy makers and administrators seeking to increase high school graduation rates and improve educational outcomes.

This study examined the utility of a linear discriminant function to distinguish between students identified as learning disabled (LD) who had either been released from high school under codes suggestive of school dropout ( n = 213) or graduation ( n = 92). The discriminant function was comprised of six variables—student ethnicity, reading ability, family intactness, family socioeconomic status, school transfers, and school-initiated interruptions. The analysis determined that differences between the LD dropout sample and LD graduate sample were sufficient to allow for a discrimination between the groups. On the basis of group differences the discriminant function that was constructed correctly classified 83% of the school dropouts and 46% of the school graduates, for an overall 73% accuracy rate. Those factors contributing most to the function were the number of district-initiated interruptions, school transfers, and family intactness. Based on the findings, implications for school districts and future research are noted.

Although No Child Left Behind (NCLB) aims to close the achievement gap that parallels race and class, some of its key provisions are at odds with reforms that are successfully overhauling the large, comprehensive high schools that traditionally have failed students of color and low-income students in urban areas. While small, restructured schools are improving graduation and college attendance rates, NCLB accountability provisions create counterincentives that encourage higher dropout and push-out rates for low-achieving students (especially English language learners), create obstacles to staffing that allow for greater personalization, and discourage performance assessments that cultivate higher-order thinking and performance abilities. In this article, Linda Darling-Hammond proposes specific amendments to NCLB that could help achieve the goal of providing high-quality, equitable education for all students by recruiting highly qualified teachers and defining such teachers in appropriate ways; by rethinking the accountability metrics for calculating adequate yearly progress so that schools have incentives to keep students in school rather than pushing them out; and by encouraging the use of performance assessments that can motivate ambitious intellectual work.

Pregnant adolescents are a population at risk for dropout and have been found to complete fewer years of education than peers. Pregnant girls’ social experience in school may be a factor in their likelihood to persist, as social integration is thought to buffer dropout risk. Pregnant teens have been found to have fewer friends than their peers, but the academic ramifications of these social differences have yet to be studied. In this study the author examines whether friendship networks are associated with the relationship between adolescent pregnancy and educational attainment. Using data from the National Longitudinal Study of Adolescent to Adult Health and multilevel models, the author specifically explores associations between high school graduation and reported friendships, friendship reciprocation, and network centrality. Having more friends and greater centrality in one’s school prior to pregnancy are associated with reduced risk for high school dropout compared with more socially isolated pregnant teens.

For more than 20 years, the efficacy of using the wraparound approach to support high-risk youth has been examined in educational and community settings. Few studies show the value of wraparound service from either a school- or community-based agency as a dropout prevention strategy. Findings from a federal research grant project suggest that many high-risk teens reconnect with educational goals once their lives become more stable after receiving wraparound support. A discussion of the barriers that prevent the most needy school-age youth from accessing wraparound service is offered, with suggestions for how school personnel can increase high school graduation rates for their students with the highest needs.

This study describes an intervention developed to implement several best transition practices with a high risk/high need population. In all, 116 students with disabilities from a charter school for dropouts participated. All students were interviewed at different points in time to track their progress as they completed the program. Records of participant’s activities and outcomes were collected. Results suggest a positive impact on students’ graduation rate (95%), enrollment in vocational rehabilitation (100%), proportion of students obtaining certificates for employment (56%), and paid internship (37%). Overall, 35% of the vocational rehabilitation cases were closed successfully with students meeting the 90-day employment requirement after graduation. Results inform future work on the implementation of interventions designed to help low-income minority youth with disabilities.

This study examines 4 years of small school reform in Chicago, focusing on schools formed by converting large traditional high schools into small autonomous ones. Analyzing systemwide survey and outcome data, the authors assess the assumptions embedded in the reform’s theory of change. They find that these schools are characterized by more collegial and committed teacher contexts and more academically and personally supportive student contexts. There is some evidence of decreased dropout rates and increased graduation rates for the first cohort of students but not for the second cohort. The authors do not find stronger instruction, nor do they find student achievement has improved. They discuss implications for reformers and policy makers who are interested in small schools in particular and high school reform in general.

Dropouts have high crime rates, but is there a direct causal link? This study, utilizing administrative data for six cohorts of public school children in North Carolina, demonstrates that those born just after the cut date for enrolling in public kindergarten are more likely to drop out of high school before graduation and to commit a felony offense by age 19. We present suggestive evidence that dropout mediates criminal involvement. Paradoxically, these late-entry students outperform their grade peers academically while still in school, which helps account for the fact that they are less likely to become juvenile delinquents. (JEL H75, I21, J13, J24, K42)

The student graduation rate is one of the indicators to improve the accreditation of a course. It is needed to monitor and evaluate student graduation tendencies, timely or not. One of them is to predict the graduation rate by utilizing the data mining technique. Data Mining Classification method used is the algorithm K-Nearest Neighbor (K-NN). The data used comes from student data, student value data, and student graduation data for the year 2010-2012 with a total of 2,189 records. The attributes used are gender, school of origin, IP study program Semester 1-6. The results showed that the K-NN method produced a high accuracy of 89.04%.

This article reports an analysis of the societal benefits and costs of recovering school dropouts. Successful recovery is defined by subsequent graduation from high school. The analysis is based on established estimates of the societal costs of dropping out including reduced government tax collections and higher social costs of welfare, healthcare, and crime. These potential costs are cast as benefits when a dropout is recovered. A large dropout recovery program provides the setting for the analysis. Rigorous attention is given to accurate estimation of the number of students who would not have graduated without the program in the year assessed and to the induced public costs of their continued education. Estimated benefits are weighed against the total annual public costs of the program, which operates in 65 school centers and commands an annual budget of about $70 million. The estimated benefit-cost ratio for this program is 3 to 1, a figure comparable to benefit-cost ratio estimates reported in studies of dropout prevention. The sensitivity of this conclusion to specific assumptions within the analysis is discussed.

AbstractResearchers and citizens alike question the long-term impacts of the shale oil boom on local communities. Studies have considered the boom’s effects on employment, income, mobility, and human capital acquisition. This research specifically builds on research considering shale effects on secondary schooling. Using county-level data from Texas, we investigate two questions: (1) Has the latest oil boom led to a reduction in local high school graduation? (2) Is this effect different for immigrants, a group potentially vulnerable to local wage effects? Findings indicate insignificant overall effects; however, local oil drilling increases immigrant high school dropout rates.

This paper reports 1987–88 results from an evaluation of 11 academy programs in California high schools. Academies are schools within schools, combining academic and vocational courses in a program designed to reduce dropout rates. The evaluation used a matched comparison group for each cohort of academy students at each site. Results for in-school outcomes were generally positive. Focusing on one grade-level cohort for which graduation rates are available, the number of dropouts saved was estimated, along with the costs and economic benefits to society. The estimated net benefit from dropout prevention among this cohort of 327 students is between $1.0 and $1.3 million.

Graduation Information is important for Universitas Multimedia Nusantara which engaged in education. The data of graduated students from each academic year is an important part as a source of information to make a decision for BAAK (Bureau of Academic and Student Administration). With this information, a prediction can be made for students who are still active whether they can graduate on time, fast, late or drop out with the implementation of data mining. The purpose of this study is to make a prediction of students’ graduation with C4.5 algorithm as a reference for making policies and actions of academic fields (BAAK) in reducing students who graduated late and did not pass. From the research, the category of IPS semester one to semester six, gender, origin of high school, and number of credits, can predict the graduation of students with conditions quickly pass, pass on time, pass late and drop out, using data mining with C4.5 algorithm. Category of semester six is the highly influential on the predicted outcome of graduation. With the application test result, accuracy of the graduation prediction acquired is 87.5%. Index Terms-Data mining, C4.5 algorithm, Universitas Multimedia Nusantara, prediction.

Background: This study examined the predictive ability of educational background and demographic variables, available at the admission stage, to identify applicants who will graduate in 4 years from podiatric medical school. Methods: A logistic regression model was used to identify two predictors of 4-year graduation: age at matriculation and total Medical College Admission Test score. The model was cross-validated using a second independent sample from the same population. Cross-validation gives greater confidence that the results could be more generally applied. Results: Total Medical College Admission Test score was the strongest predictor of 4-year graduation, with age at matriculation being a statistically significant but weaker predictor. Conclusions: Despite the model’s capacity to predict 4-year graduation better than random assignment, a sufficient amount of error in prediction remained, suggesting that important predictors are missing from the model. Furthermore, the high rate of false-positives makes it inappropriate to use age and Medical College Admission Test score as admission screens in an attempt to eliminate attrition by not accepting at-risk students. (J Am Podiatr Med Assoc 102(6): 463–470, 2012)

The 3-year graduation rate is a rarely measured metric in higher education compared to its 4- or 6- year graduation rate counterparts. For the first time in college (FTIC) students to graduate in three years, they must come with certain skills, abilities, plans, supports, or motivations. This project considers two distinct but interrelated ways of using advanced and novel statistical models, the Log-linear Cognitive Diagnostic Model (LCDM) and the Logistic Regression model (LR), to look at both students’ ability to graduate in three years and the characteristics that contribute to this ability. The results indicate that the LCDM is a reliable and efficient statistical model that can provide accurate prediction of students’ ability to graduate early. In addition, student enrolled credit hours in the semester, transfer credit hours, student high school GPA, and student socioeconomic status (EFC) were statistically significant predictors contributing to three-year graduation. The significant interaction between students’ EFC status and transfer credit hours has a meaningfully practical impact on enrollment strategies and institutional policies. Future studies could use the same LCDM model to consider the degree to which these or other characteristics contribute to 4-, 5-, and 6-year graduation rates. Identification of these characteristics could have a policy, student support, and admissions implications. Additionally, the success of the LCDM model in predicting ability could be used for abilities unrelated to graduation, including the ability to pay off loans, succeed in an internship, or give back financially to a university.

Vocational High School (SMK) 2 Pekanbaru is a Vocational School in Industrial Technology. At present there are 2400 students with 14 majors. In students the level of will in students is still low. Resulting in a low graduation rate for students. This happened because of the difficulty in predicting the level of competency examination passing at SMK Negeri 2 Pekanbaru. The purpose of this study is to assist in predicting the passing level of competency exams so as to produce predictions of student graduation. The method used is the Backpropagation method. With this method data processing can be done using input values and targets that you want to produce. So that it can predict the graduation of students in the expertise competency test. Furthermore, the data to be managed is a recapitulation of the average vocational values majoring in computer network engineering from semester 1 to semester 5 with aspects of knowledge on the target students of 2017 Academic Year and 2018 Academic Year obtained from the sum of all subjects in each semester. The results of calculations using the Backpropagation method with the Matlab application will be predictive in producing grades for students' graduation rates in the future. So that the accuracy value will be obtained in the prediction. With the results of testing the accuracy of prediction student competency tests with patterns 5-4-1 reaching 85%, with patterns 5-6-1 reaching 95%, patterns 5-8-1 reaching 70%, patterns 5-10-1 reaching 85% % and with 5-12-1 patterns it reaches 85%. Of the five patterns, the best accuracy rate of 5-6-1 is 95%. The prediction results using the Bacpropagation method can become knowledge in the next year. So that the system parameters used in testing can be recognized properly.

Purpose The prediction of graduation rates of college students has become increasingly important to colleges and universities across the USA and the world. Graduation rates, also referred to as completion rates, directly impact university rankings and represent a measurement of institutional performance and student success. In recent years, there has been a concerted effort by federal and state governments to increase the transparency and accountability of institutions, making “graduation rates” an important and challenging university goal. In line with this, the main purpose of this paper is to propose a hybrid data analytic approach which can be flexibly implemented not only in the USA but also at various colleges across the world which would help predict the graduation status of undergraduate students due to its generic nature. It is also aimed at providing a means of determining and ranking the critical factors of graduation status. Design/methodology/approach This study focuses on developing a novel hybrid data analytic approach to predict the degree completion of undergraduate students at a four-year public university in the USA. Via the deployment of the proposed methodology, the data were analyzed using three popular data mining classifications methods (i.e. decision trees, artificial neural networks, and support vector machines) to develop predictive degree completion models. Finally, a sensitivity analysis is performed to identify the relative importance of each predictor factor driving the graduation. Findings The sensitivity analysis of the most critical factors in predicting graduation rates is determined to be fall-term grade-point average, housing status (on campus or commuter), and which high school the student attended. The least influential factors of graduation status are ethnicity, whether or not a student had work study, and whether or not a student applied for financial aid. All three data analytic models yielded high accuracies ranging from 71.56 to 77.61 percent, which validates the proposed model. Originality/value This study presents uniqueness in that it presents an unbiased means of determining the driving factors of college graduation status with a flexible and powerful hybrid methodology to be implemented at other similar decision-making settings.

Students with disabilities graduate from high schools at a rate that is half that of their general education peers. This low rate endures despite access to educational programs that should be tailored to students' unique needs. This situation raises concern about how to help more students stay in school until graduation. One avenue worth considering is whether schools have satisfied the various legal standards designed to ensure that students benefit from an appropriate education. This article considers these legal standards and suggests that, in some cases, schools may fall short of their obligations to these students. Specifically, schools may need to treat the decision to drop students from schools as a change in placement, afford these students various due process procedures, and regard dropout prevention as a related service.

My critical reflection will be drawn from an experience I had just a year after my graduation from the university where I was appointed as one of the X-students to lead a student cultural week in my village with the theme “raising awareness on education”. At the university, I was a member of my association in which students from my tribe generally come together to promote unity and encourage others in education. My role was to present a discourse on girl child education all the entire villagers who were gathered at the village square that evening. A high dropout rate at school and illiteracy are major problems in my region, in which there is still a great deal of gender disparity when it comes to educating children, especially the girl child. This programme is in line with the government’s policy of promoting education in my country, whose priority is for education to reach the grass-roots communities.

Education at this time is an important requirement in facing the demands of an increasingly advanced era in technolo-gy. To compensate this, the existing educational standards in universities must also be improved, this is a bit much affect the pattern of teaching from universities that produce qualified graduates who can compete in the world of work later and indirectly give a positive impact on the university itself. Qualified graduates are of course not only depending on the role of a university but also majors and quality of education as long as students are still in high school / vocational school also plays an important role. Results of the on-time graduation rate prediction research can be used as an information to im-prove the quality and optimization of the education system but it requires a maximum degree of accuracy. This research predicts on time graduation rates by conducting analysis using data mining classification techniques. Naïve Bayes algo-rithm that are used for this research will be discussed as a reference in conducting research. The author performs a series of different experimental scenarios / cross validation to perform comparisons that can give a difference in the level of ac-curacy gained from this research. The results of this research indicate that with the addition of Cross Validation testing scenario there is an increase of 2% accuracy of the test.

Factors associated with university success and with first-year job performance were sought. All entering sophomore students ( N = 970) over a 7-yr. period completed the Strong-Campbell Interest Inventory, California Psychological Inventory, and a 145-item biographical inventory. Grades and achievement scores were retrieved from university records. One year after their graduation, participants' supervisors described their job performance. Stepwise multiple regression determined variables associated with high grade point average and high job performance. Inventories were used as predictors separately and together. Students' self-reports of high-school academic performance accounted for 15 to 20 percent of the 30 to 35 percent of variance explained in achieving nursing and university GPAs. Personality variables added 3 to 5%, and interest variables 1%. The best predictors of job performance were GPA and the biographical inventory. More than 92 percent of the variance in performance was explained in 11 of the 12 performance equations when all prediction inventories were used.

This study aimed to estimate students’ internal efficiency in Public Day Schools implementing Nine Year Basic Education (9YBE)[1] policy in Ngoma Sector, Huye District of Rwanda. Since the Government of Rwanda embarked on the implementation of 9YBE policy, the remarkable increase has been achieved in students’ enrolments at both primary and secondary education levels. But, little is known about the extent to which the policy has improved the indicators of internal efficiency such as duration of studies, years-input per graduate, survival and wastage rate. Through a descriptive design, data on students’ enrolments and graduation at lower secondary education for the cohort 2013/14 and 2017/18 were gathered from all 2 public day schools in Ngoma Sector by use of a statistical survey questionnaire. A reconstructed cohort analysis of 1000 students for both cohorts was computed and compared. The findings provided evidence that during the school years 2013/2017 there had been an increase in indicators students’ internal efficiency. Nevertheless, dropouts and stagnation have continued to be hindrances to high school internal efficiency at this level of education. The findings suggest further investigation of the causes of students' stagnation and dropout and workable interventions that consider the context of 9YBE policy. [1] 9YBE is an acronym given to Nine-Year Basic Education. According to the Ministry of Education, it is defined as " all children to be able to get an education in nine years, this is made up of six years of primary education and three years of the general cycle of secondary education without paying school fees."

This paper presents an update of a 2010-literature review on class size research completed as background in preparation of an affidavit on class size provided by the lead author in the case of British Columbia Teachers’ Federation v. British Columbia, argued before the Supreme Court of British Columbia in 2010, appealed ultimately to the Supreme Court of Canada and ruled on November 10, 2016. We find that smaller classes can improve teacher-student interactions and individualized instruction, decreasing time spent on discipline issues, leading to better student behaviour, attitude, and efforts. Smaller classes generally have greater advantages for younger students, and effects are more observable in class sizes of less than 20. Small classes may shrink achievement gaps, decrease dropout rates, and increase high school graduation rates, and appear to enhance academic outcomes, particularly for marginalized groups. Researchers have detected class size effects many years later. Small classes have been found to boost teachers’ morale and job satisfaction. While some studies have found effects at the secondary and post-secondary level, results are generally inconclusive at this level. Finally, some researchers have argued that class size reductions are an inefficient use of funds which might be better spent elsewhere in the system. The paper concludes with a brief reflection on the process of providing this research for Supreme Court case.

This study reviews the current status and future prospective of knowledge on the use of artificial intelligence for the prediction of spontaneous preterm labor and birth (“preterm birth” hereafter). The summary of review suggests that different machine learning approaches would be optimal for different types of data regarding the prediction of preterm birth: the artificial neural network, logistic regression and/or the random forest for numeric data; the support vector machine for electrohysterogram data; the recurrent neural network for text data; and the convolutional neural network for image data. The ranges of performance measures were 0.79–0.94 for accuracy, 0.22–0.97 for sensitivity, 0.86–1.00 for specificity, and 0.54–0.83 for the area under the receiver operating characteristic curve. The following maternal variables were reported to be major determinants of preterm birth: delivery and pregestational body mass index, age, parity, predelivery systolic and diastolic blood pressure, twins, below high school graduation, infant sex, prior preterm birth, progesterone medication history, upper gastrointestinal tract symptom, gastroesophageal reflux disease, Helicobacter pylori, urban region, calcium channel blocker medication history, gestational diabetes mellitus, prior cone biopsy, cervical length, myomas and adenomyosis, insurance, marriage, religion, systemic lupus erythematosus, hydroxychloroquine sulfate, and increased cerebrospinal fluid and reduced cortical folding due to impaired brain growth.

I summarize the recent history of education reform and statewide testing in Texas, which led to introduction of the Texas Assessment of Academic Skills (TAAS) in 1990-91. A variety of evidence in the late 1990s led a number of observers to conclude that the state of Texas had made near miraculous progress in reducing dropouts and increasing achievement. The passing scores on TAAS tests were arbitrary and discriminatory. Analyses comparing TAAS reading, writing and math scores with one another and with relevant high school grades raise doubts about the reliability and validity of TAAS scores. I discuss problems of missing students and other mirages in Texas enrollment statistics that profoundly affect both reported dropout statistics and test scores. Only 50% of minority students in Texas have been progressing from grade 9 to high school graduation since the initiation of the TAAS testing program. Since about 1982, the rates at which Black and Hispanic students are required to repeat grade 9 have climbed steadily, such that by the late 1990s, nearly 30% of Black and Hispanic students were "failing" grade 9. Cumulative rates of grade retention in Texas are almost twice as high for Black and Hispanic students as for White students. Some portion of the gains in grade 10 TAAS pass rates are illusory. The numbers of students taking the grade 10 tests who were classified as "in special education" and hence not counted in schools' accountability ratings nearly doubled between 1994 and 1998. A substantial portion of the apparent increases in TAAS pass rates in the 1990s are due to such exclusions. In the opinion of educators in Texas, schools are devoting a huge amount of time and energy preparing students specifically for TAAS, and emphasis on TAAS is hurting more than helping teaching and learning in Texas schools, particularly with at-risk students, and TAAS contributes to retention in grade and dropping out. Five different sources of evidence about rates of high school completion in Texas are compared and contrasted. The review of GED statistics indicated that there was a sharp upturn in numbers of young people taking the GED tests in Texas in the mid-1990s to avoid TAAS. A convergence of evidence indicates that during the 1990s, slightly less than 70% of students in Texas actually graduated from high school. Between 1994 and 1997, TAAS results showed a 20% increase in the percentage of students passing all three exit level TAAS tests (reading, writing and math), but TASP (a college readiness test) results showed a sharp decrease (from 65.2% to 43.3%) in the percentage of students passing all three parts (reading, math, and writing). As measured by performance on the SAT, the academic learning of secondary school students in Texas has not improved since the early 1990s, compared with SAT takers nationally. SAT-Math scores have deteriorated relative to students nationally. The gains on NAEP for Texas fail to confirm the dramatic gains apparent on TAAS. The gains on TAAS and the unbelievable decreases in dropouts during the 1990s are more illusory than real. The Texas "miracle" is more hat than cattle.

Purpose: To compare the relative value of simple efficient methods for predicting mortality.Methods: We compared three clinical (blood pressure, blood glucose, and low density lipoprotein cholesterol [LDL] cholesterol) and three self-reported (smoking, educational attainment and self-reported health) prospectively measured predictors of mortality in a cohort of 30,239 white and black adults who were 45 years of age or older at enrollment between 2003-2007. Survival was modeled using proportional hazards analysis and the c-statistic was used to evaluate information provided by each measure.Results: Information on all variables and follow up was available for 27,482 (91%), and among these, there were 4,409 (16%) deaths over an average of 7.6 years. The clinical measures of blood pressure, blood glucose, and cholesterol were modestly good predictors of short-term survival (for each, p < .01). However, simple one-item self-reports provided better prediction of mortality than the clinical indicators. The Age-Sex Race (ASR) adjusted Hazard Ratios (HR) for self-reported current smoking in contrast to not smoking (2.43, CI: 2.25-2.63) self-rating of health as poor in contrast to excellent (HR = 6.26, CI: 5.42-7.23), and less than high school education versus collage graduation (HR = 2.21, CI: 2.01-2.42) were all highly significant.Conclusion: Simple one-item self-reports may be undervalued as meaningful predictors of longevity.

<p class="Abstrak">Prediksi kelulusan dibutuhkan oleh manajemen perguruan tinggi dalam menentukan kebijakan preventif terkait pencegahan dini kasus drop out. Lama masa studi setiap mahasiswa bisa disebabkan dengan berbagai faktor. Dengan menggunakan <em>data mining</em> algoritma <em>naive bayes</em> dan <em>neural network</em> dapat dilakukan prediksi kelulusan mahasiswa di STMIK Widya Cipta Dharma (WiCiDa) Samarinda . Atribut yang digunakan yaitu, umur saat masuk kuliah, klasifikasi kota asal Sekolah Menengah Atas, pekerjaan ayah, program studi, kelas, jumlah saudara, dan Indeks Prestasi Kumulatif (IPK). Sampel mahasiswa yang lulus dan <em>drop-out</em> pada tahun 2011 sampai 2019 dijadikan sebagai data <em>training</em> dan data <em>testing</em>. Sedangkan angkatan 2015–2018 digunakan sebagai data target yang akan diprediksi masa studinya. Sebanyak 3229 mahasiswa, 1769 sebagai data <em>training</em>, 321 sebagai data <em>testing</em>, dan 1139 sebagai data target. Semua data diambil dari data mahasiswa program strata 1, dan tidak mengikut sertakan data mahasiswa D3 dan alih jenjang/transfer. Dari data <em>testing </em>diperoleh tingkat akurasi hanya 57,63%. Hasil penelitian menunjukkan banyaknya kelemahan dari hasil prediksi <em>naive bayes</em> dikarenakan tingkat akurasi kevalidannya tergolong tidak terlalu tinggi. Sedangkan akurasi prediksi <em>neural network</em> adalah 72,58%, sehingga metode alternatif inilah yang lebih baik. Proses evaluasi dan analisis dilakukan untuk melihat dimana letak kesalahan dan kebenaran dalam hasil prediksi masa studi.</p><div><div><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>Graduation predictions are required by the higher education institution preventive policies related to the early prevention of drop-out cases. The duration of study, for each student can be caused by various factors. By using the data mining algorithm Naive bayes and neural network, the student graduation in STMIK Widya Cipta Dharma (WiCiDa) can be predicted. The attributes used are as follows: age at admission, classification of cities from high school, father’s occupation, study program, class, number of siblings, and grade point average (GPA). Samples of students who graduated and dropped out between year 2011 and 2019 were used as training data and testing data. While the year class of 2015to 2018 is used as the target data, which will be predicted during the study period. According to the data mining algorithm Naive bayes, there are 3229 students; 1769 as training data, 321 as testing data, and 1139 as target data. All data is taken from students enrolled in undergraduate program and does not include data on diploma students and transfer student. From the testing data, an accuracy rate only 57.63%. The other side, prediction accuracy of the neural network is 72.58%, so this alternative method is the best chosen. The research results show the many weaknesses of the results of prediction of Naive bayes because the level of accuracy of its validity is not high. The evaluation and analysis process are conducted to see where the errors and truths are in the results of the study period predictions.</em></p><p><em><strong><br /></strong></em></p></div></div>

Previous research suggests that both poverty and minority status significantly influence academic achievement. Nativity schools, which have been extensively researched, have been found effective for students coming from low socioeconomic statuses and diverse backgrounds. Differences were examined between an urban public school district and an urban parochial school that uses the Nativity model (henceforth referred to as Nativity School). The purpose of this study was to determine if students from Nativity School were able to achieve significantly above that which urban public school students achieved. Specifically, academic achievement in the areas of mathematics, language arts, and science were analyzed, as well as high school dropout rate, high school graduation rate, and entrance into postsecondary education. Nativity School used the Iowa Test of Basic Skills (ITBS) to measure achievement longitudinally and reported stanines and local and national percentile ranks, while the public school system used the Missouri Assessment Program (MAP) and provided four descriptor categories (i.e., Below Basic, Basic, Proficient, and Advanced). Below Basic and Basic referred to students who demonstrate the skills outlined by the Missouri Show-Me Standards inconsistently and/or incorrectly, while students who perform in the Proficient and Advanced categories demonstrate these skills consistently, at or above grade level. Results revealed Nativity School students significantly improved their academic achievement scores and were more likely than urban public school students to graduate high school and enroll in postsecondary school. Interpretation and implications of these results and limitations are explored.

Purpose A minimum dropout age (MDA) requires potential dropouts to stay in school until graduation. Most countries have an MDA at least 16. An MDA greater than 16 requires potential dropouts to stay in school for at least one more year, which immediately reduces their available time and opportunities to commit a crime in the community. This study aims to examine how a higher MDA reduces crime in the community. The authors then show a higher MDA helps potential dropouts to become an entrepreneur. Design/methodology/approach The authors develop an economic model of crime that shows how an MDA greater than 16 affects contemporaneous juvenile crime in the community. Considering an MDA of 16 as a benchmark MDA, a hypothetical example with simulated data on the USA is used. The authors then show how a higher MDA offers a financial opportunity for the professional development programs. Findings An MDA greater than 16 reduces crime in the community. Reducing crime allows preventing social and monetary cost on juvenile delinquency. This economic efficiency offers a financial ability for adolescent training and other development programs and thereby reduces unemployment and other adverse consequences of the society. Originality/value Unlike previous studies, the authors develop an economic model of crime that shows a hypothetical relationship between an MDA and contemporaneous juvenile crime in the community. A higher MDA allows more financial ability for juvenile development programs in high school to improve the entrepreneurial skills.

Abstract Background The admissions criteria for colleges of medicine and allied health professions include several cognitive predictors. Little is known of the admissions criteria for the allied health professions and their correlation with students’ academic performance. This study investigates predictors for students’ academic achievements at allied health colleges at King Saud University. Design Retrospective cohort study. Settings College of Applied Medical Sciences, College of Nursing, and Prince Sultan bin Abdulaziz College for Emergency Medical Services, Saudi Arabia. Participants The sample comprised 1634 students. Method The high school grade average (HSGA), aptitude test (APT) score, achievement test (ACT) score, and current grade point average (GPA) were retrieved. The data were analysed using Pearson’s correlation coefficient and regression analysis. Results HSGA, ACT, and APT were significantly positively associated with students’ academic performance in colleges for all allied health professions. Multivariate regression analysis showed that the most predictive variable for all allied healthcare professions was HSGA (β = 0.347), followed by ACT (β = 0.270) and APT (β = 0.053) scores. The regression model indicated that the HSGA, APT, and ACT together predicted 26.5% of the variation in students’ cumulative GPAs at the time of graduation. Conclusion The admissions criteria for the allied health colleges at King Saud University predicted only 26.5% of the students’ cumulative GPA at the time of graduation. Other noncognitive admission criteria should be taken into consideration to improve the prediction of students’ academic potential.

Abstract Background Students who fail to pass the National Medical Licensure Examination (NMLE) pose a huge problem from the educational standpoint of healthcare professionals. In the present study, we developed a formula of predictive pass rate (PPR)” which reliably predicts medical students who will fail the NMLE in Japan, and provides an adequate academic support for them. Methods Six consecutive cohorts of 531 medical students between 2012 and 2017, Gifu University Graduate School of Medicine, were investigated. Using 7 variables before the admission to medical school and 10 variables after admission, we developed a prediction formula to obtain the PPR for the NMLE using logistic regression analysis. In a new cohort of 106 medical students in 2018, we applied the formula for PPR to them to confirm the capability of the PPR and predicted students who will have a strong likelihood of failing the NMLE. Results Medical students who passed the NMLE had the following characteristics: younger age at admission, graduates of high schools located in the surrounding area, high scores in the graduation examination and in the comprehensive computer-based test provided by the Common Achievement Test Organization in Japan. However, total score of examination in pre-clinical medical sciences and Pre-CC OSCE score in the 4th year were not correlated with the PPR. Ninety-one out of 531 students had a strong likelihood of failing the NMLE between 2012 and 2017 and 33 of these 91 students failed NMLE. Using the PPR, we predicted 12 out of 106 students will have a strong likelihood of failing the NMLE. Actually, five of these 12 students failed NMLE. Conclusions The PPR can be used to predict medical students who have a higher probability of failing the NMLE. This prediction would enable focused support and guidance by faculty members. Prospective and longitudinal studies for larger and different cohorts would be necessary.

Refereed publications (also known as peer-reviewed) are the currency of academia, yet many PhD theses in Australia result in only one or two such papers. Typically, a doctoral thesis requires the candidate to present (and pass) a public Confirmation Seminar, around nine to twelve months into candidacy, in which a panel of the candidate’s supervisors and invited experts adjudicate upon whether the work is likely to continue and ultimately succeed in the goal of a coherent and original contribution to knowledge. A Final Seminar, also public and sometimes involving the traditional viva voce or oral defence of the thesis, is presented two or three months before approval is given to send the 80,000 to 100,000 word tome off for external examination. And that soul-destroying or elation-releasing examiner’s verdict can be many months in the delivery: a limbo-like period during which the candidate’s status as a student is ended and her or his receipt of any scholarship or funding guerdon is terminated with perfunctory speed. This is the only time most students spend seriously writing up their research for publication although, naturally, many are more involved in job hunting as they pin their hopes on passing the thesis examination.There is, however, a slightly more palatable alternative to this nail-biting process of the traditional PhD, and that is the PhD by Published Papers (also known as PhD by Publications or PhD by Published Works). The form of my own soon-to-be-submitted thesis, it permits the submission for examination of a collection of papers that have been refereed and accepted (or are in the process of being refereed) for publication in academic journals or books. Apart from the obvious benefits in getting published early in one’s (hopefully) burgeoning academic career, it also takes away a lot of the stress come final submission time. After all, I try to assure myself, the thesis examiners can’t really discredit the process of double-blind, peer-review the bulk of the thesis has already undergone: their job is to examine how well I’ve unified the papers into a cohesive thesis … right? But perhaps they should at least be wary, because, unfortunately, the requirements for this kind of PhD vary considerably from institution to institution and there have been some cases where the submitted work is of questionable quality compared to that produced by graduates from more demanding universities. Hence, this paper argues that in my subject area of interest—film and television studies—there is a huge range in the set requirements for doctorates, from universities that award the degree to film artists for prior published work that has undergone little or no academic scrutiny and has involved little or no on-campus participation to at least three Australian universities that require candidates be enrolled for a minimum period of full-time study and only submit scholarly work generated and published (or submitted for publication) during candidature. I would also suggest that uncertainty about where a graduate’s work rests on this continuum risks confusing a hard-won PhD by Published Papers with the sometimes risible honorary doctorate. Let’s begin by dredging the depths of those murky, quasi-academic waters to examine the occasionally less-than-salubrious honorary doctorate. The conferring of this degree is generally a recognition of an individual’s body of (usually published) work but is often conferred for contributions to knowledge or society in general that are not even remotely academic. The honorary doctorate does not usually carry with it the right to use the title “Dr” (although many self-aggrandising recipients in the non-academic world flout this unwritten code of conduct, and, indeed, Monash University’s Monash Magazine had no hesitation in describing its 2008 recipient, musician, screenwriter, and art-school-dropout Nick Cave, as “Dr Cave” (O’Loughlin)). Some shady universities even offer such degrees for sale or ‘donation’ and thus do great damage to that institution’s credibility as well as to the credibility of the degree itself. Such overseas “diploma mills”—including Ashwood University, Belford University, Glendale University and Suffield University—are identified by their advertising of “Life Experience Degrees,” for which a curriculum vitae outlining the prospective graduand’s oeuvre is accepted on face value as long as their credit cards are not rejected. An aspiring screen auteur simply specifies film and television as their major and before you can shout “Cut!” there’s a degree in the mail. Most of these pseudo-universities are not based in Australia but are perfectly happy to confer their ‘titles’ to any well-heeled, vanity-driven Australians capable of completing the online form. Nevertheless, many academics fear a similarly disreputable marketplace might develop here, and Norfolk Island-based Greenwich University presents a particularly illuminating example. Previously empowered by an Act of Parliament consented to by Senator Ian Macdonald, the then Minister for Territories, this “university” had the legal right to confer honorary degrees from 1998. The Act was eventually overridden by legislation passed in 2002, after a concerted effort by the Australian Universities Quality Agency Ltd. and the Australian Vice-Chancellors’ Committee to force the accreditation requirements of the Australian Qualifications Framework upon the institution in question, thus preventing it from making degrees available for purchase over the Internet. Greenwich University did not seek re-approval and soon relocated to its original home of Hawaii (Brown). But even real universities flounder in similarly muddy waters when, unsolicited, they make dubious decisions to grant degrees to individuals they hold in high esteem. Although meaning well by not courting pecuniary gain, they nevertheless invite criticism over their choice of recipient for their honoris causa, despite the decision usually only being reached after a process of debate and discussion by university committees. Often people are rewarded, it seems, as much for their fame as for their achievements or publications. One such example of a celebrity who has had his onscreen renown recognised by an honorary doctorate is film and television actor/comedian Billy Connolly who was awarded an Honorary Doctor of Letters by The University of Glasgow in 2006, prompting Stuart Jeffries to complain that “something has gone terribly wrong in British academia” (Jeffries). Eileen McNamara also bemoans the levels to which some institutions will sink to in search of media attention and exposure, when she writes of St Andrews University in Scotland conferring an honorary doctorate to film actor and producer, Michael Douglas: “What was designed to acknowledge intellectual achievement has devolved into a publicity grab with universities competing for celebrity honorees” (McNamara). Fame as an actor (and the list gets even weirder when the scope of enquiry is widened beyond the field of film and television), seems to be an achievement worth recognising with an honorary doctorate, according to some universities, and this kind of discredit is best avoided by Australian institutions of higher learning if they are to maintain credibility. Certainly, universities down under would do well to follow elsewhere than in the footprints of Long Island University’s Southampton College. Perhaps the height of academic prostitution of parchments for the attention of mass media occurred when in 1996 this US school bestowed an Honorary Doctorate of Amphibious Letters upon that mop-like puppet of film and television fame known as the “muppet,” Kermit the Frog. Indeed, this polystyrene and cloth creation with an anonymous hand operating its mouth had its acceptance speech duly published (see “Kermit’s Acceptance Speech”) and the Long Island University’s Southampton College received much valuable press. After all, any publicity is good publicity. Or perhaps this furry frog’s honorary degree was a cynical stunt meant to highlight the ridiculousness of the practice? In 1986 a similar example, much closer to my own home, occurred when in anticipation and condemnation of the conferral of an honorary doctorate upon Prince Philip by Monash University in Melbourne, the “Members of the Monash Association of Students had earlier given a 21-month-old Chihuahua an honorary science degree” (Jeffries), effectively suggesting that the honorary doctorate is, in fact, a dog of a degree. On a more serious note, there have been honorary doctorates conferred upon far more worthy recipients in the field of film and television by some Australian universities. Indigenous film-maker Tracey Moffatt was awarded an honorary doctorate by Griffith University in November of 2004. Moffatt was a graduate of the Griffith University’s film school and had an excellent body of work including the films Night Cries: A Rural Tragedy (1990) and beDevil (1993). Acclaimed playwright and screenwriter David Williamson was presented with an Honorary Doctorate of Letters by The University of Queensland in December of 2004. His work had previously picked up four Australian Film Institute awards for best screenplay. An Honorary Doctorate of Visual and Performing Arts was given to film director Fred Schepisi AO by The University of Melbourne in May of 2006. His films had also been earlier recognised with Australian Film Institute awards as well as the Golden Globe Best Miniseries or Television Movie award for Empire Falls in 2006. Director George Miller was crowned with an Honorary Doctorate in Film from the Australian Film, Television, and Radio School in April 2007, although he already had a medical doctor’s testamur on his wall. In May of this year, filmmaker George Gittoes, a fine arts dropout from The University of Sydney, received an honorary doctorate by The University of New South Wales. His documentaries, Soundtrack to War (2005) and Rampage (2006), screened at the Sydney and Berlin film festivals, and he has been employed by the Australian Government as an official war artist. Interestingly, the high quality screen work recognised by these Australian universities may have earned the recipients ‘real’ PhDs had they sought the qualification. Many of these film artists could have just as easily submitted their work for the degree of PhD by Published Papers at several universities that accept prior work in lieu of an original exegesis, and where a film is equated with a book or journal article. But such universities still invite comparisons of their PhDs by Published Papers with honorary doctorates due to rather too-easy-to-meet criteria. The privately funded Bond University, for example, recommends a minimum full-time enrolment of just three months and certainly seems more lax in its regulations than other Antipodean institution: a healthy curriculum vitae and payment of the prescribed fee (currently AUD$24,500 per annum) are the only requirements. Restricting my enquiries once again to the field of my own research, film and television, I note that Dr. Ingo Petzke achieved his 2004 PhD by Published Works based upon films produced in Germany well before enrolling at Bond, contextualized within a discussion of the history of avant-garde film-making in that country. Might not a cynic enquire as to how this PhD significantly differs from an honorary doctorate? Although Petzke undoubtedly paid his fees and met all of Bond’s requirements for his thesis entitled Slow Motion: Thirty Years in Film, one cannot criticise that cynic for wondering if Petzke’s films are indeed equivalent to a collection of refereed papers. It should be noted that Bond is not alone when it comes to awarding candidates the PhD by Published Papers for work published or screened in the distant past. Although yet to grant it in the area of film or television, Swinburne University of Technology (SUT) is an institution that distinctly specifies its PhD by Publications is to be awarded for “research which has been carried out prior to admission to candidature” (8). Similarly, the Griffith Law School states: “The PhD (by publications) is awarded to established researchers who have an international reputation based on already published works” (1). It appears that Bond is no solitary voice in the academic wilderness, for SUT and the Griffith Law School also apparently consider the usual milestones of Confirmation and Final Seminars to be unnecessary if the so-called candidate is already well published. Like Bond, Griffith University (GU) is prepared to consider a collection of films to be equivalent to a number of refereed papers. Dr Ian Lang’s 2002 PhD (by Publication) thesis entitled Conditional Truths: Remapping Paths To Documentary ‘Independence’ contains not refereed, scholarly articles but the following videos: Wheels Across the Himalaya (1981); Yallambee, People of Hope (1986); This Is What I Call Living (1988); The Art of Place: Hanoi Brisbane Art Exchange (1995); and Millennium Shift: The Search for New World Art (1997). While this is a most impressive body of work, and is well unified by appropriate discussion within the thesis, the cynic who raised eyebrows at Petzke’s thesis might also be questioning this thesis: Dr Lang’s videos all preceded enrolment at GU and none have been refereed or acknowledged with major prizes. Certainly, the act of releasing a film for distribution has much in common with book publishing, but should these videos be considered to be on a par with academic papers published in, say, the prestigious and demanding journal Screen? While recognition at awards ceremonies might arguably correlate with peer review there is still the question as to how scholarly a film actually is. Of course, documentary films such as those in Lang’s thesis can be shown to be addressing gaps in the literature, as is the expectation of any research paper, but the onus remains on the author/film-maker to demonstrate this via a detailed contextual review and a well-written, erudite argument that unifies the works into a cohesive thesis. This Lang has done, to the extent that suspicious cynic might wonder why he chose not to present his work for a standard PhD award. Another issue unaddressed by most institutions is the possibility that the publications have been self-refereed or refereed by the candidate’s editorial colleagues in a case wherein the papers appear in a book the candidate has edited or co-edited. Dr Gillian Swanson’s 2004 GU thesis Towards a Cultural History of Private Life: Sexual Character, Consuming Practices and Cultural Knowledge, which addresses amongst many other cultural artefacts the film Lawrence of Arabia (David Lean 1962), has nine publications: five of which come from two books she co-edited, Nationalising Femininity: Culture, Sexuality and Cinema in Britain in World War Two, (Gledhill and Swanson 1996) and Deciphering Culture: Ordinary Curiosities and Subjective Narratives (Crisp et al 2000). While few would dispute the quality of Swanson’s work, the persistent cynic might wonder if these five papers really qualify as refereed publications. The tacit understanding of a refereed publication is that it is blind reviewed i.e. the contributor’s name is removed from the document. Such a system is used to prevent bias and favouritism but this level of anonymity might be absent when the contributor to a book is also one of the book’s editors. Of course, Dr Swanson probably took great care to distance herself from the refereeing process undertaken by her co-editors, but without an inbuilt check, allegations of cronyism from unfriendly cynics may well result. A related factor in making comparisons of different university’s PhDs by Published Papers is the requirements different universities have about the standard of the journal the paper is published in. It used to be a simple matter in Australia: the government’s Department of Education, Science and Training (DEST) held a Register of Refereed Journals. If your benefactor in disseminating your work was on the list, your publications were of near-unquestionable quality. Not any more: DEST will no longer accept nominations for listing on the Register and will not undertake to rule on whether a particular journal article meets the HERDC [Higher Education Research Data Collection] requirements for inclusion in publication counts. HEPs [Higher Education Providers] have always had the discretion to determine if a publication produced in a journal meets the requirements for inclusion in the HERDC regardless of whether or not the journal was included on the Register of Refereed Journals. As stated in the HERDC specifications, the Register is not an exhaustive list of all journals which satisfy the peer-review requirements (DEST). The last listing for the DEST Register of Refereed Journals was the 3rd of February 2006, making way for a new tiered list of academic journals, which is currently under review in the Australian tertiary education sector (see discussion of this development in the Redden and Mitchell articles in this issue). In the interim, some university faculties created their own rankings of journals, but not the Faculty of Creative Industries at the Queensland University of Technology (QUT) where I am studying for my PhD by Published Papers. Although QUT does not have a list of ranked journals for a candidate to submit papers to, it is otherwise quite strict in its requirements. The QUT University Regulations state, “Papers submitted as a PhD thesis must be closely related in terms of subject matter and form a cohesive research narrative” (QUT PhD regulation 14.1.2). Thus there is the requirement at QUT that apart from the usual introduction, methodology and literature review, an argument must be made as to how the papers present a sustained research project via “an overarching discussion of the main features linking the publications” (14.2.12). It is also therein stated that it should be an “account of research progress linking the research papers” (4.2.6). In other words, a unifying essay must make an argument for consideration of the sometimes diversely published papers as a cohesive body of work, undertaken in a deliberate journey of research. In my own case, an aural auteur analysis of sound in the films of Rolf de Heer, I argue that my published papers (eight in total) represent a journey from genre analysis (one paper) to standard auteur analysis (three papers) to an argument that sound should be considered in auteur analysis (one paper) to the major innovation of the thesis, aural auteur analysis (three papers). It should also be noted that unlike Bond, GU or SUT, the QUT regulations for the standard PhD still apply: a Confirmation Seminar, Final Seminar and a minimum two years of full-time enrolment (with a minimum of three months residency in Brisbane) are all compulsory. Such milestones and sine qua non ensure the candidate’s academic progress and intellectual development such that she or he is able to confidently engage in meaningful quodlibets regarding the thesis’s topic. Another interesting and significant feature of the QUT guidelines for this type of degree is the edict that papers submitted must be “published, accepted or submitted during the period of candidature” (14.1.1). Similarly, the University of Canberra (UC) states “The articles or other published material must be prepared during the period of candidature” (10). Likewise, Edith Cowan University (ECU) will confer its PhD by Publications to those candidates whose thesis consists of “only papers published in refereed scholarly media during the period of enrolment” (2). In other words, one cannot simply front up to ECU, QUT, or UC with a résumé of articles or films published over a lifetime of writing or film-making and ask for a PhD by Published Papers. Publications of the candidate prepared prior to commencement of candidature are simply not acceptable at these institutions and such PhDs by Published Papers from QUT, UC and ECU are entirely different to those offered by Bond, GU and SUT. Furthermore, without a requirement for a substantial period of enrolment and residency, recipients of PhDs by Published Papers from Bond, GU, or SUT are unlikely to have participated significantly in the research environment of their relevant faculty and peers. Such newly minted doctors may be as unfamiliar with the campus and its research activities as the recipient of an honorary doctorate usually is, as he or she poses for the media’s cameras en route to the glamorous awards ceremony. Much of my argument in this paper is built upon the assumption that the process of refereeing a paper (or for that matter, a film) guarantees a high level of academic rigour, but I confess that this premise is patently naïve, if not actually flawed. Refereeing can result in the rejection of new ideas that conflict with the established opinions of the referees. Interdisciplinary collaboration can be impeded and the lack of referee’s accountability is a potential problem, too. It can also be no less nail-biting a process than the examination of a finished thesis, given that some journals take over a year to complete the refereeing process, and some journal’s editorial committees have recognised this shortcoming. Despite being a mainstay of its editorial approach since 1869, the prestigious science journal, Nature, which only publishes about 7% of its submissions, has led the way with regard to varying the procedure of refereeing, implementing in 2006 a four-month trial period of ‘Open Peer Review’. Their website states, Authors could choose to have their submissions posted on a preprint server for open comments, in parallel with the conventional peer review process. Anyone in the field could then post comments, provided they were prepared to identify themselves. Once the usual confidential peer review process is complete, the public ‘open peer review’ process was closed and the editors made their decision about publication with the help of all reports and comments (Campbell). Unfortunately, the experiment was unpopular with both authors and online peer reviewers. What the Nature experiment does demonstrate, however, is that the traditional process of blind refereeing is not yet perfected and can possibly evolve into something less problematic in the future. Until then, refereeing continues to be the best system there is for applying structured academic scrutiny to submitted papers. With the reforms of the higher education sector, including forced mergers of universities and colleges of advanced education and the re-introduction of university fees (carried out under the aegis of John Dawkins, Minister for Employment, Education and Training from 1987 to 1991), and the subsequent rationing of monies according to research dividends (calculated according to numbers of research degree conferrals and publications), there has been a veritable explosion in the number of institutions offering PhDs in Australia. But the general public may not always be capable of differentiating between legitimately accredited programs and diploma mills, given that the requirements for the first differ substantially. From relatively easily obtainable PhDs by Published Papers at Bond, GU and SUT to more rigorous requirements at ECU, QUT and UC, there is undoubtedly a huge range in the demands of degrees that recognise a candidate’s published body of work. The cynical reader may assume that with this paper I am simply trying to shore up my own forthcoming graduation with a PhD by Published papers from potential criticisms that it is on par with a ‘purchased’ doctorate. Perhaps they are right, for this is a new degree in QUT’s Creative Industries faculty and has only been awarded to one other candidate (Dr Marcus Foth for his 2006 thesis entitled Towards a Design Methodology to Support Social Networks of Residents in Inner-City Apartment Buildings). But I believe QUT is setting a benchmark, along with ECU and UC, to which other universities should aspire. In conclusion, I believe further efforts should be undertaken to heighten the differences in status between PhDs by Published Papers generated during enrolment, PhDs by Published Papers generated before enrolment and honorary doctorates awarded for non-academic published work. Failure to do so courts cynical comparison of all PhD by Published Papers with unearnt doctorates bought from Internet shysters. References Brown, George. “Protecting Australia’s Higher Education System: A Proactive Versus Reactive Approach in Review (1999–2004).” Proceedings of the Australian Universities Quality Forum 2004. Australian Universities Quality Agency, 2004. 11 June 2008 ‹http://www.auqa.edu.au/auqf/2004/program/papers/Brown.pdf>. Campbell, Philip. “Nature Peer Review Trial and Debate.” Nature: International Weekly Journal of Science. December 2006. 11 June 2008 ‹http://www.nature.com/nature/peerreview/> Crisp, Jane, Kay Ferres, and Gillian Swanson, eds. Deciphering Culture: Ordinary Curiosities and Subjective Narratives. London: Routledge, 2000. 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