Relevant bibliographies by topics / Item analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Item analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Item analysis"

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Farley, Joanne K. "ITEM ANALYSIS." Nurse Educator 15, no. 1 (January 1990): 8–9. http://dx.doi.org/10.1097/00006223-199001000-00002.

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Couturier, Raphaël, and Rubén Pazmiño. "Use of Statistical Implicative Analysis in Complement of Item Analysis." International Journal of Information and Education Technology 6, no. 1 (2016): 39–43. http://dx.doi.org/10.7763/ijiet.2016.v6.655.

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Harrell, Murphy, Melissa Myers, Nanako Hawley, Jasmin Pizer, and Benjamin Hill. "A-185 An Analysis of Rarely Missed Items on the TOMM." Archives of Clinical Neuropsychology 36, no. 6 (August 30, 2021): 1240. http://dx.doi.org/10.1093/arclin/acab062.203.

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Abstract Objective This study examined item performance on Trial 1 of the Test of Memory Malingering (TOMM). We also identified items that were most often missed in individuals with genuine effort. Method Participants were 106 adults seen for disability claims (87.7% male; 70.5% Caucasian, 26.7% Black; age range 22–84 years, Mage = 44.42 years, SD = 13.07; Meducation = 13.58, SD = 2.05) who completed and passed the TOMM as part of a larger battery. Mean score Trial 1 was 43.08, SD = 5.49. Mean score on Trial 2 was 48.98, SD = 1.54. Results Frequency analysis indicated that >95% of the sample correctly identified six items on Trial 1: item 1-spinning wheel (97.2%), item 8-musical notes (99.1%), item 38-ice cream (98.1%), item 41-life preserver (95.3%), item 45-iron (95.3%), and item 47-dart (98.1%). Nine items were correctly identified on Trial 1 by <80% of the sample: item 2-tissue box (77.4%), item 6-suitcase (77.4%), item 20-motorcycle (77.4%), item 22-jack-in-the box (71.7%), item 26-light bulb (75.5%), item 27-maple leaf (72.6%), item 32-racket (79.2%), item 36-birdhouse (79.2%), item 44-pail & shovel (66.0%). Conclusions These findings suggest that items on Trial 1 of the TOMM differ in difficulty in a disability claims sample who performed genuinely on the TOMM. Items 1, 8, 38, 41, 45, and 47 are good candidates for a rarely missed index where failure of these items would be probabilistically unlikely. Future research should evaluate whether these items are failed at higher rates in cases of borderline TOMM performance to improve sensitivity to feigning.
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Hashimoto, Takamitsu. "Item Relational Structure Analysis Using Item Response Theory." Japanese Journal of Applied Statistics 40, no. 3 (2011): 125–40. http://dx.doi.org/10.5023/jappstat.40.125.

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Toksöz, Sibel, and Ayşe Ertunç. "Item Analysis of a Multiple-Choice Exam." Advances in Language and Literary Studies 8, no. 6 (December 25, 2017): 141. http://dx.doi.org/10.7575/aiac.alls.v.8n.6p.141.

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Although foreign language testing has been subject to some changes in line with the different perspectives on learning and language teaching, multiple-choice items have been considerably popular regardless of these perspectives and trends in foreign language teaching. There have been some studies focusing on the efficiency of multiple choice items in different contexts. In Turkish context multiple choice items have been commonly used as standardized stake holder tests as a requirement for undergraduate level for the departments such as English Language Teaching, Western Languages and Literatures and Translation Studies and academic progress of the students in departments. Moreover, multiple choice items have been used noticeably in all levels of language instruction. However, there hasn’t been enough item analysis of multiple-choice tests in terms of item discrimination, item facility and distractor efficiency. The present study aims to analyze the multiple choice items aiming to test grammar, vocabulary and reading comprehension and administrated at a state university to preptory class students. In the study, 453 students’ responses have been analyzed in terms of item facility, item discrimination and distractor efficiency by using the frequency showing the distribution of the responses of prepatory students. The study results reveal that, most of the items are at the moderate level in terms of item facility. Besides, the results show that 28% of the items have a low item discrimination value. Finally, the frequency results were analyzed in terms of distractor efficiency and it has been found that some distractors in the exam are significantly ineffective and they should be revised.
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Danuwijaya, Ari Arifin. "ITEM ANALYSIS OF READING COMPREHENSION TEST FOR POST-GRADUATE STUDENTS." English Review: Journal of English Education 7, no. 1 (December 9, 2018): 29. http://dx.doi.org/10.25134/erjee.v7i1.1493.

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Developing a test is a complex and reiterative process which subject to revision even if the items were developed by skilful item writers. Many commercial test publishers need to conduct test analysis, rather than trusting the item writers� judgement and skills to improve the quality of items that need to be proven statistically after trying out was performed. This study is a part of test development process which aims to analyse the reading comprehension test items. One hundred multiple choice questions were pilot tested to 50 postgraduate students in one university. The pilot testing was aimed to investigate item quality which can further be developed better. The responses were then analysed using Classical Test Theory and using psychometric software called Lertap. The results showed that item difficulty level was mostly average. In terms of item discrimination, more than half of the total items were categorized marginal which required further modifications. This study suggests some recommendation that can be useful to improve the quality of the developed items.��Keywords: reading comprehension; item analysis; classical test theory; item difficulty; test development.
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Bechtel, Gordon G., and Chezy Ofir. "Aggregate item response analysis." Psychometrika 53, no. 1 (March 1988): 93–107. http://dx.doi.org/10.1007/bf02294196.

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Muntinga, Jaap H. J., and Henk A. Schuil. "Effects of automatic item eliminations based on item test analysis." Advances in Physiology Education 31, no. 3 (September 2007): 247–52. http://dx.doi.org/10.1152/advan.00019.2007.

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Item test analysis is an aid to identify items that need to be eliminated from an assessment. An automatic elimination procedure based on item statistics, therefore, could help to increase the quality of a test in an objective manner. This was investigated by studying the effect of a standardized elimination procedure on the test results of a second-year course over a period of 6 successive years in 1,624 candidates. Cohort effects on the item elimination were examined by determining the number of additional items that had to be eliminated from three different tests in 3 successive academic years in two cohorts. The items that were part of more than one test and had to be eliminated according to the procedure in at least one of the tests appeared to have to be retained according to the same procedure in most of the other tests. The procedure harmed the high scoring students relatively more often than the other students, and the number of eliminated items appeared to be cohort dependent. As a consequence, automatic elimination procedures obscure the transparency of the grading process unacceptably and transform valid tests into inadequate samples of the course content.
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., Fitriati. "Differential Item Functioning: Item Level Analysis of TIMSS Mathematics Test Items Using Australian and Indonesian Database." Hubs-Asia 18, no. 2 (December 1, 2014): 127. http://dx.doi.org/10.7454/mssh.v18i2.170.

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Fitriati, Fitriati. "Differential Item Functioning: Item Level Analysis of TIMSS Mathematics Test Items Using Australian and Indonesian Database." Makara Human Behavior Studies in Asia 18, no. 2 (December 1, 2014): 127. http://dx.doi.org/10.7454/mssh.v18i2.3467.

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Dissertations / Theses on the topic "Item analysis"

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Yildirim, Huseyin Husnu. "The Differential Item Functioning (dif) Analysis Of Mathematics Items In The International Assessment Programs." Phd thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607135/index.pdf.

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Cross-cultural studies, like TIMSS and PISA 2003, are being conducted since 1960s with an idea that these assessments can provide a broad perspective for evaluating and improving education. In addition countries can assess their relative positions in mathematics achievement among their competitors in the global world. However, because of the different cultural and language settings of different countries, these international tests may not be functioning as expected across all the countries. Thus, tests may not be equivalent, or fair, linguistically and culturally across the participating countries. In this conte! ! xt, the present study aimed at assessing the equivalence of mathematics items of TIMSS 1999 and PISA 2003 across cultures and languages, to fin! d out if mathematics achievement possesses any culture specifi! c aspect s. For this purpose, the present study assessed Turkish and English versions of TIMSS 1999 and PISA 2003 mathematics items with respect to, (a) psychometric characteristics of items, and (b) possible sources of Differential Item Functioning (DIF) between these two versions. The study used Restricted Factor Analysis, Mantel-Haenzsel Statistics and Item Response Theory Likelihood Ratio methodologies to determine DIF items. The results revealed that there were adaptation problems in both TIMSS and PISA studies. However it was still possible to determine a subtest of items functioning fairly between cultures, to form a basis for a cross-cultural comparison. In PISA, there was a high rate of agreement among the DIF methodologies used. However, in TIMSS, the agree! ment ra! te decreased considerably possibly because the rate o! f differ e! ntially functioning items within TIMSS was higher, and differential guessing and differential discriminating were also issues in the test. The study! also revealed that items requiring competencies of reproduction of practiced knowledge, knowledge of facts, performance of routine procedures, application of technical skills were less likely to be biased against Turkish students with respect to American students at the same ability level. On the other hand, items requiring students to communicate mathematically, items where various results must be compared, and items that had real-world context were less likely to be in favor of Turkish students.
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Cash, Charles R. "Stochastic Analysis of Multi-Item Flow Lines /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487931993468164.

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Jensen, Jennifer Lynn. "An Item Reduction Analysis of the Group Questionnaire." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/5988.

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The Group Questionnaire (GQ) was developed to measure group therapeutic processes-which are linked to successful prediction of patient outcome and therapeutic factors-across three qualitative dimensions (positive bond, positive work, and negative relationship) and three structural dimensions (member-leader, member-member, and member-group). The GQ model has been shown to be valid across 5 settings and 4 countries. As a clinical measure given after each session, length is of particular concern. Although shorter measures are more convenient for clients and therapists to use, fewer items necessarily means less information, a loss of psychometrics, and possible floor and ceiling effects. This study examined the effects of shortening the GQ on its clinical utility and psychometric integrity. Methods. Archival data from 7 previous studies was used, with 2,594 participants in an estimated 455 groups gathered from counseling centers, non-clinical process groups, inpatient psychiatric hospitals, outpatient psychiatric hospitals, and an inpatient state hospital. Participants answered questions from the Group Questionnaire administered during the productive working phase of a group. Analysis. Analysis was done using multilevel structural equation modeling in Mplus to account for the nested nature of groups. Items were selected using clinical judgment and statistical judgment considering inter item correlation and factor loading. Model fit was analyzed in comparison to the standards in the literature and in comparison to the full length GQ. Discussion. The revised 12 item GQ has good model fit and acceptable reliability. Further assessment is needed to determine how the reduction affects clinical utility.
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黎寶欣 and Po-yan Lai. "Effect of visual item arrangement on search performance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B3124189X.

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Lai, Po-yan. "Effect of visual item arrangement on search performance." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23530212.

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Sim, Stacy. "An Item Response Theory Analysis of CWB Measurement Artifacts." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1478003731122816.

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Wang, Wenjia. "Item Response Theory in the Neurodegenerative Disease Data Analysis." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0624/document.

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Les maladies neurodégénératives, telles que la maladie d'Alzheimer (AD) et Charcot Marie Tooth (CMT), sont des maladies complexes. Leurs mécanismes pathologiques ne sont toujours pas bien compris et les progrès dans la recherche et le développement de nouvelles thérapies potentielles modifiant la maladie sont lents. Les données catégorielles, comme les échelles de notation et les données sur les études d'association génomique (GWAS), sont largement utilisées dans les maladies neurodégénératives dans le diagnostic, la prédiction et le suivi de la progression. Il est important de comprendre et d'interpréter ces données correctement si nous voulons améliorer la recherche sur les maladies neurodégénératives. Le but de cette thèse est d'utiliser la théorie psychométrique moderne: théorie de la réponse d’item pour analyser ces données catégoriques afin de mieux comprendre les maladies neurodégénératives et de faciliter la recherche de médicaments correspondante. Tout d'abord, nous avons appliqué l'analyse de Rasch afin d'évaluer la validité du score de neuropathie Charcot-Marie-Tooth (CMTNS), un critère important d'évaluation principal pour les essais cliniques de la maladie de CMT. Nous avons ensuite adapté le modèle Rasch à l'analyse des associations génétiques pour identifier les gènes associés à la maladie d'Alzheimer. Cette méthode résume les génotypes catégoriques de plusieurs marqueurs génétiques tels que les polymorphisme nucléotidique (SNPs) en un seul score génétique. Enfin, nous avons calculé l'information mutuelle basée sur la théorie de réponse d’item pour sélectionner les items sensibles dans ADAS-cog, une mesure de fonctionnement cognitif la plus utilisées dans les études de la maladie d'Alzheimer, afin de mieux évaluer le progrès de la maladie
Neurodegenerative diseases, such as Alzheimer’s disease (AD) and Charcot Marie Tooth (CMT), are complex diseases. Their pathological mechanisms are still not well understood, and the progress in the research and development of new potential disease-modifying therapies is slow. Categorical data like rating scales and Genome-Wide Association Studies (GWAS) data are widely utilized in the neurodegenerative diseases in the diagnosis, prediction and progression monitor. It is important to understand and interpret these data correctly if we want to improve the disease research. The purpose of this thesis is to use the modern psychometric Item Response Theory to analyze these categorical data for better understanding the neurodegenerative diseases and facilitating the corresponding drug research. First, we applied the Rasch analysis in order to assess the validity of the Charcot-Marie-Tooth Neuropathy Score (CMTNS), a main endpoint for the CMT disease clinical trials. We then adapted the Rasch model to the analysis of genetic associations and used to identify genes associated with Alzheimer’s disease by summarizing the categorical genotypes of several genetic markers such as Single Nucleotide Polymorphisms (SNPs) into one genetic score. Finally, to select sensitive items in the most used psychometrical tests for Alzheimer’s disease, we calculated the mutual information based on the item response model to evaluate the sensitivity of each item on the ADAS-cog scale
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ISHII, Hidetoki, Kazuhiro YASUNAGA, 秀宗 石井, and 和央 安永. "国語読解テストにおける設問文中の単語の難しさが能力評価に及ぼす影響 : 具体例を回答させる設問の検討." 名古屋大学大学院教育発達科学研究科, 2012. http://hdl.handle.net/2237/16163.

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Mehta, Vandhana. "Structural Validity and Item Functioning of the LoTi Digital-Age Survey." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc68014/.

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The present study examined the structural construct validity of the LoTi Digital-Age Survey, a measure of teacher instructional practices with technology in the classroom. Teacher responses (N = 2840) from across the United States were used to assess factor structure of the instrument using both exploratory and confirmatory analyses. Parallel analysis suggests retaining a five-factor solution compared to the MAP test that suggests retaining a three-factor solution. Both analyses (EFA and CFA) indicate that changes need to be made to the current factor structure of the survey. The last two factors were composed of items that did not cover or accurately measure the content of the latent trait. Problematic items, such as items with crossloadings, were discussed. Suggestions were provided to improve the factor structure, items, and scale of the survey.
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Lees, Jared Andrew. "Differential Item Functioning Analysis of the Herrmann Brain Dominance Instrument." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2103.pdf.

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Books on the topic "Item analysis"

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Wilson, Douglas T. TESTFACT: Test scoring, item statistics, and item factor analysis. Chicago, IL: Scientific Software International, 1991.

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Skurnik, Larry Seymour. Examination and item analysis manual. Nottingham: University of Nottingham, School of Education, 1987.

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Ordinal item response theory: Mokken scale analysis. Thousand Oaks: Sage Publications, Inc, 2011.

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van Schuur, Wijbrandt. Ordinal Item Response Theory: Mokken Scale Analysis. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc., 2011. http://dx.doi.org/10.4135/9781452230641.

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F, George Joey, Valacich Joseph S. 1959-, and Miller Lisa, eds. Test item file: Modern systems analysis and design. 3rd ed. Upper Saddle River, N.J: Prentice Hall, 2002.

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Thissen, David. Multilog user's guide: Multiple, categorical item analysis and test scoring using item response theory. 6th ed. Lincolnwood, IL: Scientific Software International, 1991.

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Farmer, William L. Latent trait theory analysis of changes in item response anchors. Washington, D.C: U.S. Department of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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Baker, Rosemary. Classical test theory and item response theory in test analysis. Lancaster: Lancaster University, Centre for Research in Language Education, 1997.

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Belov, Dmitry. A stochastic search for test assembly, item pool analysis, and design. Newtown, PA: Law School Admission Council, 2006.

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Skinner, Jacobina. Air Force Officer Qualifying Test (AFOQT): Item and factor analysis of Form O. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1987.

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Book chapters on the topic "Item analysis"

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Franzen, Michael. "Item Analysis." In Encyclopedia of Clinical Neuropsychology, 1864–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1207.

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Green, Rita. "Item Analysis." In Statistical Analyses for Language Testers, 25–40. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137018298_3.

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Penfield, Randall D. "Item analysis." In APA handbook of testing and assessment in psychology, Vol. 1: Test theory and testing and assessment in industrial and organizational psychology., 121–38. Washington: American Psychological Association, 2013. http://dx.doi.org/10.1037/14047-007.

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Maggino, Filomena. "Item Analysis." In Encyclopedia of Quality of Life and Well-Being Research, 3412–14. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1551.

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First, Michael B., Elizabeth Spencer, Elizabeth Spencer, Sander Begeer, Brynn Thomas, Danielle Geno Kent, Maria Fusaro, et al. "Item Analysis." In Encyclopedia of Autism Spectrum Disorders, 1653–54. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_236.

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Franzen, Michael D. "Item Analysis." In Encyclopedia of Clinical Neuropsychology, 1361–62. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1207.

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Franzen, Michael. "Item Analysis." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1207-2.

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Soto, Timothy. "Item Analysis." In Encyclopedia of Autism Spectrum Disorders, 2576–77. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_236.

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Boone, William J., John R. Staver, and Melissa S. Yale. "Item Measures." In Rasch Analysis in the Human Sciences, 93–110. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6857-4_5.

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Glas, Cees A. W. "Item Parameter Estimation and Item Fit Analysis." In Elements of Adaptive Testing, 269–88. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-85461-8_14.

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Conference papers on the topic "Item analysis"

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Fook, Chan Yuen, Farhana Wan Yunus, and Gurnam Kaur Sidhu. "Teachers' knowledge on item analysis and item analysis software." In 2013 IEEE Conference on e-Learning, e-Management and e-Services (IC3e). IEEE, 2013. http://dx.doi.org/10.1109/ic3e.2013.6735961.

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Lin, Xiao-Chuan, Fei Zhang, Wei-Hui Jiang, and Jia-Chen Liang. "Improvement of Similarity Coefficients Based on Item Rating and Item Genre." In 2019 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2019. http://dx.doi.org/10.1109/icwapr48189.2019.8946453.

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Nunes, Sandra, Teresa Oliveira, and Amílcar Oliveira. "Item response theory – A first approach." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992683.

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Fook, Chan Yuen, Gurnam Kaur Sidhu, Rosna Awang Hashim, Azma Abd Hamid, and Farhana Wan Yunus. "Effective criteria of item analysis software." In 2014 IEEE 6th Conference on Engineering Education (ICEED). IEEE, 2014. http://dx.doi.org/10.1109/iceed.2014.7194696.

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Susanti, Yuni, Hitoshi Nishikawa, Takenobu Tokunaga, and Obari Hiroyuki. "Item Difficulty Analysis of English Vocabulary Questions." In 8th International Conference on Computer Supported Education. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005775502670274.

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Zhang, Fie, Weitao Zhou, Lili Sun, Xiaochuan Lin, Hongjie Liu, and Zhimin He. "Improvement of Pearson similarity coefficient based on item frequency." In 2017 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2017. http://dx.doi.org/10.1109/icwapr.2017.8076697.

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Cavique, Luis. "Next-Item Discovery in the Market Basket Analysis." In 2005 Purtuguese Conference on Artificial Intelligence. IEEE, 2005. http://dx.doi.org/10.1109/epia.2005.341294.

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Verma, Nishant, and Mia K. Markey. "Item response analysis of Alzheimer's disease assessment scale." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944124.

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Liu, Jing, Yu Jiang, Zechao Li, Xi Zhang, and Hanqing Lu. "Domain-sensitive Recommendation with user-item subgroup analysis." In 2016 IEEE 32nd International Conference on Data Engineering (ICDE). IEEE, 2016. http://dx.doi.org/10.1109/icde.2016.7498377.

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Nozaki, Yuri, Fumiya Watanabe, and Tetsuji Satoh. "Analysis of Item Selection Behavior in Online Shopping." In iiWAS2018: 20th International Conference on Information Integration and Web-based Applications & Services. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3282373.3282849.

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Reports on the topic "Item analysis"

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Gibbons, Robert D., Donald R. Hedeker, and R. D. Bock. Full-Information Item Bi-Factor Analysis. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada229346.

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Anderson, Bradley E. Readiness Spares Package Non-Optimized (NOP) Item Computation Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/adb243484.

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Posada, Jarred L., and David E. Caballero. Item Unique Identification Capability Expansion: Established Process Analysis, Cost Benefit Analysis, and Optimal Marking Procedures. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada620873.

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Fox, Paul E. Price Analysis on Commercial Item Purchases Within the Department of the Navy. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada626753.

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Fox, Paul E. Price Analysis on Commercial Item Purchases within the Department of the Navy. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada607776.

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Maddox, Janie, and Paul Fox. Price Analysis on Commercial Item Purchases within the Department of the Navy. Fort Belvoir, VA: Defense Technical Information Center, February 2015. http://dx.doi.org/10.21236/ada625228.

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Budescu, David V., Yoav Cohen, and Anat Ben-Simon. A Revised Modified Parallel Analysis (RMPA) for the Construction of Unidimensional Item Pools. Fort Belvoir, VA: Defense Technical Information Center, July 1993. http://dx.doi.org/10.21236/ada269699.

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8

Maddux, Gary A. War Reserve Analysis and Secondary Item Procureability Assessment of the AMCOM Supported Weapon Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada368504.

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9

Maddux, Gary A. War Reserve Analysis and Secondary Item Procureability Assessment of the AMCOM Supported Weapon Systems. Fort Belvoir, VA: Defense Technical Information Center, February 2000. http://dx.doi.org/10.21236/ada374442.

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10

Fox, Frank. LEAP (Logistics Effectiveness Analysis Process) Vis-a-Vis SESAME (selected Essential-Item Stockage for Availability Method). Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada177445.

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