Relevant bibliographies by topics / Statistics (see also social sciences) ; statistics

Contents

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

Academic literature on the topic 'Statistics (see also social sciences) ; statistics'

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

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Journal articles on the topic "Statistics (see also social sciences) ; statistics"

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Castro, Tomás del Barrio, Paulo M. M. Rodrigues, and A. M. Robert Taylor. "THE IMPACT OF PERSISTENT CYCLES ON ZERO FREQUENCY UNIT ROOT TESTS." Econometric Theory 29, no. 6 (2013): 1289–313. http://dx.doi.org/10.1017/s0266466613000066.

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In this paper we investigate the impact of persistent (nonstationary or near nonstationary) cycles on the asymptotic and finite-sample properties of standard unit root tests. Results are presented for the augmented Dickey–Fuller (ADF) normalized bias and t-ratio-based tests (Dickey and Fuller, 1979, Journal of the American Statistical Association 745, 427–431; Said and Dickey, 1984; Biometrika 71, 599–607). the variance ratio unit root test of Breitung (2002, Journal of Econometrics 108, 343–363), and the M class of unit-root tests introduced by Stock (1999, in Engle and White (eds.), A Festsc
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Debelak, Rudolf, and Ingrid Koller. "Testing the Local Independence Assumption of the Rasch Model With Q3-Based Nonparametric Model Tests." Applied Psychological Measurement 44, no. 2 (2019): 103–17. http://dx.doi.org/10.1177/0146621619835501.

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Local independence is a central assumption of commonly used item response theory models. Violations of this assumption are usually tested using test statistics based on item pairs. This study presents two quasi-exact tests based on the [Formula: see text] statistic for testing the hypothesis of local independence in the Rasch model. The proposed tests do not require the estimation of item parameters and can also be applied to small data sets. The authors evaluate the tests with three simulation studies. Their results indicate that the quasi-exact tests hold their alpha level under the Rasch mo
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Orme, Chris. "On the Use of Artificial Regressions in Certain Microeconometric Models." Econometric Theory 11, no. 2 (1995): 290–305. http://dx.doi.org/10.1017/s0266466600009178.

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Conditional moment tests check to see whether or not population moment equalities, implied by the null model specification, hold approximately in the sample. Asymptotically valid conditional statistics can easily be calculated from the output of a so-called outer product of the gradient (OPG) artificial regression. However, several studies have now found that this OPG variant exhibits extremely poor finite sample behavior and that significant improvements can be made by employing the efficient variant. In the light of such evidence, this paper develops new artificial regressions that can be us
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Guay, Alain, and Jean-François Lamarche. "STRUCTURAL CHANGE TESTS BASED ON IMPLIED PROBABILITIES FOR GEL CRITERIA." Econometric Theory 28, no. 6 (2012): 1186–228. http://dx.doi.org/10.1017/s0266466612000114.

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This paper proposes Pearson-type statistics based on implied probabilities to detect structural change. The class of generalized empirical likelihood estimators (see Smith 1997, The Economic Journal107, 503–519) assigns a set of implied probabilities to each observation such that moment conditions are satisfied. The proposed test statistics for structural change are based on the information content in these implied probabilities. We consider cases of structural change with unknown breakpoint that can occur in the parameters of interest or in the overidentifying restrictions used to estimate th
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Huo, Ming, Mieke Heyvaert, Wim Van den Noortgate, and Patrick Onghena. "Permutation Tests in the Educational and Behavioral Sciences." Methodology 10, no. 2 (2014): 43–59. http://dx.doi.org/10.1027/1614-2241/a000067.

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Over the past two decades, permutation tests (PTs) have received much attention in the educational and behavioral sciences. The aim of this article is to review the theoretical developments of PTs, the active areas in the educational and behavioral research using PTs, and the types of analysis under which PTs have been applied. We obtained 224 published articles, which included 141 theoretical articles and 83 application articles. After scrutinizing each article, we are happy to see that (1) some researchers began to advocate introducing PTs into basic statistics training; (2) computing load f
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Khan, Shehla, and Musawar Shah. "Socio-cultural Obstacles in the Way of Women Participation in Politics: A Case Study of District Charsadda, Pakistan." Journal of Humanities, Social and Management Sciences (JHSMS) 1, no. 1 (2020): 53–65. http://dx.doi.org/10.47264/idea.jhsms/1.1.5.

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Political participation is one of the important factors of empowerment and creates awareness among females about their rights in a society. Equal distribution of power, authority, rights, needs and participation etc. are the need of an hour. In male dominant society women are not allow to participate in politics, caste vote and contest in the politics as a member. In Pakhtun society specifically in district Swat females are confronted much more miseries and dilemmas to take part in active politics. The primary facts were collected through simple random sampling technique where the total popula
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Nurse, Anne M., and Trish Staiger. "Teaching Data Reproducibility through Service Learning." Teaching Sociology 47, no. 4 (2019): 350–57. http://dx.doi.org/10.1177/0092055x19860577.

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Data reproducibility is becoming increasingly important in the social sciences, but it has yet to be incorporated into many undergraduate sociology programs. This note describes a service-learning activity that can be added to an introductory statistics course. Students partner with a nonprofit and analyze quantitative data to answer questions selected by the agency. Reproducibility is the central mechanism of communication between the nonprofit, the students, and the course instructor. An assessment of the project suggests that students achieve an understanding of how to create reproducible d
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Chiu, Christopher WT, Peter Pashley, Marilyn Seastrom, and Peggy Carr. "Visualizing Large-Scale Data in Educational, Behavioral, Psychometrical and Social Sciences: Utilities and Design Patterns of the SEER Computational and Graphical Statistics." Information Visualization 4, no. 4 (2005): 276–89. http://dx.doi.org/10.1057/palgrave.ivs.9500105.

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This paper introduces a graphical method SEE Repeated-measure data (SEER) to visually analyze data commonly collected in large-scale surveys, market research, biostatistics, and educational and psychological measurement. Many researchers in these disciplines encounter large amounts of data. Examples include the Law School Admission Test (LSAT) repeater scores, career paths of students graduated from college, essays scores in the writing assessments of the National Assessment of Educational Progress (NAEP), and scores derived from different test equating methods in the discipline of psychometri
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Lavancier, Frédéric, Remigijus Leipus, Anne Philippe, and Donatas Surgailis. "DETECTION OF NONCONSTANT LONG MEMORY PARAMETER." Econometric Theory 29, no. 5 (2013): 1009–56. http://dx.doi.org/10.1017/s0266466613000303.

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This article deals with detection of a nonconstant long memory parameter in time series. The null hypothesis presumes stationary or nonstationary time series with a constant long memory parameter, typically an I (d) series with d > −.5 . The alternative corresponds to an increase in persistence and includes in particular an abrupt or gradual change from I (d1) to I (d2), −.5 < d1 < d2. We discuss several test statistics based on the ratio of forward and backward sample variances of the partial sums. The consistency of the tests is proved under a very general setting. We also study the
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Caner, Mehmet. "A NOTE ON LEAST ABSOLUTE DEVIATION ESTIMATION OF A THRESHOLD MODEL." Econometric Theory 18, no. 3 (2002): 800–814. http://dx.doi.org/10.1017/s0266466602183113.

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This paper develops the limit law for the least absolute deviation estimator of the threshold parameter in linear regression. In this respect, we extend the literature of threshold models. The existing literature considers only the least squares estimation of the threshold parameter (see Chan, 1993, Annals of Statistics 21, 520–533; Hansen, 2000, Econometrica 68, 575–605). This result is useful because in the case of heavy-tailed errors there is an efficiency loss resulting from the use of least squares. Also, for the first time in the literature, we derive the limit law for the likelihood rat
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Dissertations / Theses on the topic "Statistics (see also social sciences) ; statistics"

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Kartsonaki, Christiana. "Some aspects of complex statistical dependencies." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:878f4fcf-30de-4cbb-93fe-a8645cd13ba0.

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In the first part parametric models for which the likelihood is intractable are discussed. A method for fitting such models when simulation from the model is possible is presented, which gives estimates that are linear functions of a possibly large set of candidate features. A combination of simulations based on a fractional design and sets of discriminant analyses is used to find an optimal estimate of the parameter vector and its covariance matrix. The procedure is an alternative to Approximate Bayesian Computation and Indirect Inference methods. A way of assessing goodness of fit is briefly
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Fang, Zhou. "Reweighting methods in high dimensional regression." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:26f8541a-9e2d-466a-84aa-e6850c4baba9.

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In this thesis, we focus on the application of covariate reweighting with Lasso-style methods for regression in high dimensions, particularly where p ≥ n. We apply a particular focus to the case of sparse regression under a-priori grouping structures. In such problems, even in the linear case, accurate estimation is difficult. Various authors have suggested ideas such as the Group Lasso and the Sparse Group Lasso, based on convex penalties, or alternatively methods like the Group Bridge, which rely on convergence under repetition to some local minimum of a concave penalised likelihood. We prop
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Qu, Shuo. "Models and software for improving the profitability of pharmaceutical research." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:1a73a652-9e85-4952-b6ef-8aeb83917cdf.

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Pharmaceutical R&D is time-consuming, extremely costly and involves great uncertainty. Although there is a broad range of literature on statistical issues in clinical trials, there is not much that focuses directly on the modelling of pre-clinical research. This thesis investigates models and associated software for improving decisionmaking in this area, building on earlier work by the same research group. We introduce a class of adaptive policies called forwards induction policies for candidate drug selection, and show that these are optimal, with a straightforward solution algorithm, within
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Lee, Anthony. "On auxiliary variables and many-core architectures in computational statistics." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:244040a7-f094-4d57-a78f-e154ed3b353c.

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Emerging many-core computer architectures provide an incentive for computational methods to exhibit specific types of parallelism. Our ability to perform inference in Bayesian statistics is often dependent upon our ability to approximate expectations of functions of random variables, for which Monte Carlo methodology provides a general purpose solution using a computer. This thesis is primarily concerned with exploring the gains that can be obtained by using many-core architectures to accelerate existing population-based Monte Carlo algorithms, as well as providing a novel general framework th
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Ciampa, Julia Grant. "Multilocus approaches to the detection of disease susceptibility regions : methods and applications." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:8f82a624-7d80-438c-af3e-68ce983ff45f.

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This thesis focuses on multilocus methods designed to detect single nucleotide polymorphisms (SNPs) that are associated with disease using case-control data. I study multilocus methods that allow for interaction in the regression model because epistasis is thought to be pervasive in the etiology of common human diseases. In contrast, the single-SNP models widely used in genome wide association studies (GWAS) are thought to oversimplify the underlying biology. I consider both pairwise interactions between individual SNPs and modular interactions between sets of biologically similar SNPs. Modula
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Markvardsen, Anders Johannes. "Polarised neutron diffraction measurements of PrBa2Cu3O6+x and the Bayesian statistical analysis of such data." Thesis, University of Oxford, 2000. http://ora.ox.ac.uk/objects/uuid:bef0c991-4e1c-4b07-952a-a0fe7e4943f7.

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The physics of the series Pr<sub>y</sub>Y<sub>1-y</sub>Ba<sub>2</sub>Cu<sub>3</sub>O<sub>6&plus;x</sub>, and ability of Pr to suppress superconductivity, has been a subject of frequent discussions in the literature for more than a decade. This thesis describes a polarised neutron diffraction (PND) experiment performed on PrBa<sub>2</sub>Cu<sub>3</sub>O<sub>6.24</sub> designed to find out something about the electron structure. This experiment pushed the limits of what can be done using the PND technique. The problem is one of a limited number of measured Fourier components that need to be inve
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Choy, Tze Leung. "Sparse distance metric learning." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:a98695a3-0a60-448f-9ec0-63da3c37f7fa.

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A good distance metric can improve the accuracy of a nearest neighbour classifier. Xing et al. (2002) proposed distance metric learning to find a linear transformation of the data so that observations of different classes are better separated. For high-dimensional problems where many un-informative variables are present, it is attractive to select a sparse distance metric, both to increase predictive accuracy but also to aid interpretation of the result. In this thesis, we investigate three different types of sparsity assumption for distance metric learning and show that sparse recovery is pos
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Probst, Cornelius. "Bayesian analysis of stochastic point processes for financial applications." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:7a756760-380b-4a16-9702-878731c757fb.

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A recent application of point processes has emerged from the electronic trading of financial assets. Many securities are now traded on purely electronic exchanges where demand and supply are aggregated in limit order books. Buy and sell trades in the asset as well as quote additions and cancellations can then be interpreted as events that not only determine the shape of the order book, but also define point processes that exhibit a rich internal structure. A large class of such point processes are those driven by a diffusive intensity process. A flexible choice with favourable analytic propert
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Iotchkova, Valentina Valentinova. "Bayesian methods for multivariate phenotype analysis in genome-wide association studies." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:66fd61e1-a6e3-4e91-959b-31a3ec88967c.

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Most genome-wide association studies search for genetic variants associated to a single trait of interest, despite the main interest usually being the understanding of a complex genotype-phenotype network. Furthermore, many studies collect data on multiple phenotypes, each measuring a different aspect of the biological system under consideration, therefore it can often make sense to jointly analyze the phenotypes. However this is rarely the case and there is a lack of well developed methods for multiple phenotype analysis. Here we propose novel approaches for genome-wide association analysis,
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Loizides, Charalambos. "Extensions of the case-control design in genome-wide association studies." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:89e057e5-d30f-4125-b210-14d1f2aa37c1.

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The case-control design is one of the most commonly used designs in genome- wide asociation studies. When we increase the sample size of either the controls or, more importantly, the cases, the power of whatever test we use will certainly increase. However increasing the sample size, means that addi- tional individuals need to be genotyped and this implies extra financial costs. However, nowadays with the emergence of genetic studies, a large number of genetic data are available at low or no extra cost. Even though those data may not be completely relevant to the current study, they can still
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Books on the topic "Statistics (see also social sciences) ; statistics"

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Fortin, Marie-Jose e. Spatial analysis: A guide for ecologists. Cambridge University Press, 2005.

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Tran, Thanh V., and Keith T. Chan. Applied Cross-Cultural Data Analysis for Social Work. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190888510.001.0001.

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Applied Cross-Cultural Data Analysis for Social Work is a research guide which provides a hands-on approach for learning and understanding data analysis techniques for examining and interpreting data for the purpose of cultural group comparisons. This book aims to provide practical applications in statistical approaches of data analyses that are commonly used in cross-cultural research and evaluation. Readers are presented with step-by-step illustrations in the use of descriptive, bivariate, and multivariate statistics to compare cross-cultural populations using large-scale, population-based s
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ANALYZING TABULAR DATA SEE NOTES (Social Research Today 1). Routledge, 1993.

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Biddle, Justin B., and Rebecca Kukla. The Geography of Epistemic Risk. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190467715.003.0011.

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At each stage of inquiry, actions, choices, and judgments carry with them a chance that they will lead to mistakes and false conclusions. One of the most vigorously discussed kinds of epistemic risk is inductive risk—that is, the risk of inferring a false positive or a false negative from statistical evidence. This chapter develops a more fine-grained typology of epistemic risks and argues that many of the epistemic risks that have been classified as inductive risks are actually better seen as examples of a more expansive category, which this paper dubs “phronetic risk.” This more fine-grained
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Johansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.

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Nationalism: Past as Prologue began as a single volume being compiled by Ad Akande, a scholar from South Africa, who proposed it to me as co-author about two years ago. The original idea was to examine how the damaging roots of nationalism have been corroding political systems around the world, and creating dangerous obstacles for necessary international cooperation. Since I (Bruce E. Johansen) has written profusely about climate change (global warming, a.k.a. infrared forcing), I suggested a concerted effort in that direction. This is a worldwide existential threat that affects every living t
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Knepper, Paul, and Anja Johansen. Introduction. Edited by Paul Knepper and Anja Johansen. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199352333.013.43.

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ThisHandbookoffers a systematic and comprehensive guide to the historical study of crime and criminal justice. It brings together essays written by researchers who work on crime and criminal justice in the past, with an emphasis on how the interaction between history and social sciences has shaped the field. It describes the methods of historical research, noting the potential, limitations, and pitfalls of these methods. Topics range from the modeling of crime trends to problems in interpretation of crime statistics, the geography of crime, organized crime and the cultural concept of the urban
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Book chapters on the topic "Statistics (see also social sciences) ; statistics"

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Attila Papp, Z., and Eszter Neumann. "Education of Roma and Educational Resilience in Hungary." In Social and Economic Vulnerability of Roma People. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-52588-0_6.

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AbstractOriginally, the concept of resilience refers to one’s capacity to cope with unexpected shocks and unpredictable situations. Originating from ecological theories, the approach has gained ground in social sciences. In the context of education, the concept has been applied to explain how disadvantaged students can overcome structural constraints and become educationally successful and socially mobile (Werner, E. E., Vulnerable but invincible: a longitudinal study of resilient children and youth. McGraw-Hill, New York, 1982; Masten A. S., American Psychologist 56: 227–238, 2001; Reid, R., Botterrill L. C., Australian Journal of Public Administration 72:31–40, 2013; Máté, D., Erdélyi Társadalom 13:43–55, 2015).This paper is based on the analysis of the Hungarian National Assessment of Basic Competences (NABC) database which has been conducted annually since 2001. We created a typology of school resilience based on the schools’ social and ethnic profile as well as their performance indicators. We defined those schools resilient which over perform others with similar social intake, and we also identified irresilient schools which underperform others with similar social intake. The school types were created by correlating the socio-economic status index (SES) and school performance.Since the NABC database provides us with data on the estimated rate of Roma students in each school, it is possible to take into account the schools’ ethnic intake in the analysis of resilience. We conducted statistical analyses to compare the performance of resilient and irresilient schools in the light of the ratio of Roma students. Finally, we seek answers to the question whether ethnic segregation correlates with school achievement in Hungary. We could identify some crucial institutional factors contributing to resilience (or school success) in the case of schools with relatively high proportion of Roma students.
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Porter, Theodore M. "Shaping the Unruly Statistician." In History of Universities: Volume XXXIV/1. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192844774.003.0008.

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Statistics achieved something like disciplinary status in universities as a mathematical and methodological field during the first half of the twentieth century. Yet the experience of statistics stands as a warning against the supposition that scientific knowledge tends naturally to become a discrete discipline. Centuries prior to the consolidation of the mathematical field of statistics, there arose, gradually, a social and administrative field of statistics. Some of the most fundamental concepts and tools of statistical reasoning were first established in this context. Census offices and statistical bureaus devoted to economic, medical, trade, and labor statistics behave in some ways like scientific fields, and in recent times have been more or less closely allied to the mathematical field. From the late nineteenth century, the mathematical field of statistics also came to be seen as a set of concepts and tools for analyzing data in a variety of fields, from engineering, agriculture, education, medicine, and social surveys to astronomy, psychology, economics, sociology, ecology, and physical sciences. All of these gave some heed to the statistical discipline, but none were quite content to mathematicians and methodologists of quantification who dictate the appropriate tools to be used in diverse substantive disciplines. At the same time, input from the substantive disciplines and even from bureaucratic and professional uses has always been important for the shaping of the statistical discipline, which first took shape primarily as a field devoted to problems of evolution, genetics, and eugenics. That history shows a geographical trajectory, arising most prominently in Britain and spreading most readily to other English-language countries.
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Goertz, Gary, and James Mahoney. "Mathematical Prelude: A Selective Introduction to Logic and Set Theory for Social Scientists." In A Tale of Two Cultures. Princeton University Press, 2012. http://dx.doi.org/10.23943/princeton/9780691149707.003.0002.

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This chapter considers some key ideas from logic and set theory as they relate to qualitative research in the social sciences, including ideas concerning necessary and sufficient conditions. It also highlights a major contrast between qualitative and quantitative research: whereas quantitative research draws on mathematical tools associated with statistics and probability theory, qualitative research is often based on set theory and logic. The chapter first compares the natural language of logic in the qualitative culture with the language of probability and statistics in the quantitative culture. It then considers the necessary conditions and sufficient conditions as basis for qualitative methods, focusing on set theory and Venn diagrams, two-by-two tables, and truth tables. It also discusses the use of qualitative and quantitative aggregation techniques and concludes by explaining the criteria for assessing the “fit” of the model or the “importance” of a given causal factor.
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Harris, Richard. "Not just nuisance: spatialising social statistics." In Towards a Spatial Social Policy. Policy Press, 2019. http://dx.doi.org/10.1332/policypress/9781447337904.003.0008.

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Outside of the specialist community of quantitative spatial researchers’ statistical analyses in the social sciences see geography merely as simple units of analysis or else as nuisance risks to the satisfaction of underlying statistical assumptions, if indeed it sees geography at all. In step-by-step discussion and visualisations this chapter upends that dominant treatment by illustrating the range of rich and frequently untapped spatial insights that a clearer understanding and grasp of specialist but (relatively) straightforward spatial methodologies can bring substantively to social policy analysis and practice.
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Gorman, Sara E., and Jack M. Gorman. "Conclusion." In Denying to the Grave. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780199396603.003.0011.

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We have argued throughout this book that there are complex psychological, social, and neurobiological underpinnings of resistance to scientific evidence. We have also argued that many of these tendencies are in many ways completely adaptive, healthy, and essentially human. The challenge that remains for those of us interested in maximizing population health and at the same time helping individuals to make scientifically informed health choices is to figure out how to address the tendencies that lead to false scientific belief without completely insulting or, worse, attempting to repress these tendencies. Not only does telling people not to be emotional fail, but we also strongly believe that it is in no one’s best interest to suppress this side of the human brain. So we propose a multipronged method to help guide people toward the evidence without dismissing the importance of their humanity. In the end, we don’t want people to scramble for a story when they should be paying attention to statistics. But at the same time, we wouldn’t want a society full of people who see only percentages and probabilities in place of showing empathy for the individuals around them. We just want to help people better tease out when their natural psychological tendencies are protecting them and when they are actually harming their health. We will begin by citing the core principles that we believe any reader of this book should take from reading it. Then we will show how these core principles translate into our recommendations for better strategies for communicating and dealing with people who do not believe the science. We call this the Gorman- Gorman method. Guiding Principle #1: It is not simply uneducated people who make irrational health decisions. We have seen multiple times throughout this book that making rational health choices is not particularly correlated with intelligence. There are abundant examples of people with illustrious academic training, including in the sciences, who have embraced unrealistic and irrational beliefs about important topics such as the relationship between vaccines and autism and the cause of AIDS.
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Li, Quan. "Appendix: A Brief Introduction to Analyzing Categorical Data and Finding More Data." In Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.003.0008.

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This chapter provides a brief introduction to two techniques often used with discrete data: testing statistical independence between two discrete variables with Chi-squared statistics, and testing the effects of some independent variables on the probability of a dependent variable taking on the value of one rather than zero with logistic regression. Both are illustrated by focusing on a dichotomous variable measuring self-reported happiness by survey respondents in World Value Surveys. In addition, the chapter also provides a short list of publicly available data resources that help to familiarize readers with the wealth of data in the public domain.
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Li, Quan. "Learn about R and Write First Toy Programs." In Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.003.0001.

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This first chapter provides an overview of the steps for completing a research project, offers a one-paragraph introduction to R, shows how to install R and its add-on packages, mentions how to get help, presents an example of how to write and execute a simple R program as an ice-breaker, demonstrates how to create, describe, and graph a variable in R with a simple numerical example, illustrates how to report descriptive statistics in a table, and concludes by applying the R code to a real-world data example from a published article. The chapter also shows common coding errors and a variety of logical and mathematical operators, how to use R on Mac machines, how to export output from R, and how to install and use RStudio.
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Bevir, Mark, and Jason Blakely. "Methods." In Interpretive Social Science. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198832942.003.0005.

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This chapter draws on the latest methodological literature in order to show how an anti-naturalist framework justifies multi-methods in social science research. Contrary to the widespread debate that pits “quantitative” versus “qualitative” methods, researchers are free to use methods from across the social sciences provided they remain aware of anti-naturalist concepts and concerns. Leading methods are analyzed in light of the latest social science, including: mass surveys, random sampling, regression analysis, statistics, rational choice modeling, ethnography, archival research, and long-form interviewing. A full-blown interpretive approach to the social sciences can make use of all the major methods and techniques for studying human behavior, while also avoiding the scientism that too often plagues their current deployment.
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Porter, Theodore M. "Social Law and Natural Science." In The Rise of Statistical Thinking, 1820-1900. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691208428.003.0006.

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This chapter details how Adolphe Quetelet's work on error law provided the inspiration for the most important writers on statistical mathematics of the late nineteenth century. While Quetelet interpreted his discovery as confirmation that variation could be neglected in favor of the study of mean values, James Clerk Maxwell and Francis Galton, among others, saw in it a convenient and valuable tool for analyzing with mathematical precision the nature and effects of natural variation. The mathematics of variation was instrumental for the impressive achievements of the nineteenth-century kinetic theory. It also provided the key in biology to the quantitative study of heredity, leading eventually to what is now the most purely statistical of the natural sciences, quantitative genetics. Beyond its importance for particular natural and social sciences, however, the new understanding of the error law that derived from Quetelet's work proved essential for mathematical statistics itself.
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Neimann, Theresa D., and Uta M. Stelson. "Prevalence of Campus Rape." In Encyclopedia of Strategic Leadership and Management. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1049-9.ch099.

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Most educators are aware of the statistics about the prevalence of campus sexual assault and rape. While the focus is usually on remedies many educators fail to see the connection between psychological ramifications, grade deflation and college non-completion as some of the possible outcomes. The authors suggest that educators, administrators and strategic leadership need to understand how Social Norms Theory, sports, and rape culture play into the prevalence of campus sexual assault and rape on students' ability to thrive in college and complete and the need to adopt a proactive stance whereby they can help to offset the gloomy statistics in campus sexual assault and rape. This chapter will also focus on the legal and risk management impact of neglecting to establish and/or non-enforcement of policies to both prevent and address campus sexual assault and rape. Many educators and administrators fail to understand the potential costs of Title IX Violations and benefits to colleges and universities from the Violence Against Women laws, especially the Amended Clery Act. Lastly, recommendations are forthcoming in helping leaders and risk management employees be proactive and strategically plan to reduce the occurrences of campus sexual assault and rapes.
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Conference papers on the topic "Statistics (see also social sciences) ; statistics"

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Eroğlu, Şeyma Gün, Merve Vural, and Feyzullah Eroğlu. "A Research on the Relationship between Humor Styles and Entrepreneurial Tendency." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02282.

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Humor, which has a wide range of influences, has an important role in human life. Humor is regarded as an effective tool for transmitting a wide range of ideas, feelings, and thoughts and has long been seen as a coping strategy that is particularly healthy and effective. This is because humor is thought to be a strong antidote against negative emotions. In the previous studies, it was detected that the individuals who have a sense of humor also have high task motivation, cheerfulness, high self-esteem and social dominance, and more importantly, humor was found to be positively associated with
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Boughattas, Sonia, Dana Al Batesh, Bruno Giraldes, Asmaa Al-Thani, and Fatiha Benslimane. "Optimized DNA Extracting Method for Oxford Nanopore- Long reads Sequencing from Marine samples." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0136.

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Sustaining social and economic growth is impossible without a holistic environmental vision that places environmental preservation for Qatar’s future generations at the forefront. According to the Ministry of Development and Planning and Statistics, the Qatar National Vision (QNV) 2030 aims to direct Qatar towards a balance between developmental needs and the protection of its natural environment, whether land, sea or air. As such, the QNV 2030 includes an emphasis on establishing environmental institutions that can serve as the guardians of Qatar’s environmental heritage. The QNV 2030 also em
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"The use of ICT by SMMEs in a Digital Economy: A case study in Buffalo City Metropolitan in South Africa [Abstract]." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4314.

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Aim/Purpose: The goal of this study is to advance understanding of ICT utilization by SMMEs by checking access, ability (in terms of technological skills) and usage of ICT among some SMMEs entrepreneurs operating their businesses in an underdeveloped areas to enhance their business activities in order to utilizes the digital opportunities 21st century digital economies present. Background: In today’s world no nation or region is untouched by the forces of globalization and digital economy. One of the key pioneering forces of globalization is the advances of ICT like internet, social networks,
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Relela, Mokgadi, and Lydia Mavuru. "LIFE SCIENCES TEACHERS’ CONCEPTIONS ABOUT SOCIOSCIENTIFIC ISSUES IN THE TOPIC EVOLUTION." In International Conference on Education and New Developments. inScience Press, 2021. http://dx.doi.org/10.36315/2021end009.

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The goal of science education is emphatically positioned on promoting science literacy. The rationale is learners should not only learn about scientific knowledge and processes but also on how to apply the knowledge when making decisions about heterogenous societal and personal issues. Previous research has indicated that by addressing socioscientific issues (SSIs) when teaching controversial science topics, it provides a suitable context for developing scientific literacy in learners. Scientifically literate learners are well-informed citizens with regards to the social, ethical, economic, an
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"An Examination of the Barriers to Leadership for Faculty of Color at U.S. Universities." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4344.

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[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/Purpose: The aim and purpose of this study is to understand why there is a dearth of faculty of color ascending to senior levels of leadership in higher education institutions, and to identify strategies to increase the representation of faculty of color in university senior administrative positions. Background: There is a lack of faculty of color in senior level academic administrative position in the United States. Although there is clear e
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Chernova, D. A., S. V. Alexeeva, and N. A. Slioussar. "WHAT DO WE LEARN FROM MISTAKES: PROCESSING DIFFICULTIES WITH FREQUENTLY MISSPELLED WORDS." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-147-159.

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Even if we know how to spell, we often see words misspelled by other people — especially nowadays when we constantly read unedited texts on social media and in personal messages. In this paper, we present two experiments showing that the incidence of orthographic errors reduces the quality of lexical representations in the mental lexicon—even if one knows how to spell a word, repeated exposure to incorrect spellings blurs its orthographical representation and weakens the connection between form and meaning. As a result, it is more difficult to judge whether the word is spelled correctly, and —
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"Addressing Information Literacy and the Digital Divide in Higher Education." In InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4041.

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Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the Interdisciplinary Journal of e-Skills and Lifelong Learning, Volume 14] The digital divide and educational inequalities remain a significant societal prob-lem in the United States impacting low income, first-generation, and minority learners. Accordingly, institutions of higher education are challenged to meet the needs of students with varying levels of technological readiness with deficiencies in information and digital literacy shown to be a hindrance to student success. This paper documents the efforts
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URBONIENĖ, Jūratė, and Indrė KOVERIENĖ. "A COMPARATIVE INVESTIGATION OF ENGLISH LANGUAGE PROFI-CIENCY AND ACADEMIC PERFORMANCE OF CURRENT UNDERGRAD-UATE STUDENTS WITH SPECIAL REFERENCE TO GENERATION Z: RURAL VERSUS URBAN STUDENTS." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.159.

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Understanding the audience is the key to successful communication. Therefore, an effective teacher has to consider manifold differences among the students in any given classroom: the characteristics of the students, the mindset of the generation, the variety of learning styles, the students’ needs and goals, and their educational background. Since Aleksandras Stulginskis University (ASU) awards the degrees in food sciences and agriculture, a sizeable part of the students come to study from rural areas. Recent educational research in the USA, UK and Lithuania have revealed a significant differe
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