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Kinkead, Joyce – CEA Forum, 2021
Undergraduate English majors should have opportunities to conduct meaningful, authentic research. This essay outlines a research methods course that introduces students to empirical research with qualitative and quantitative tools. Over the course of the term, students complete a whole-class project that models the process and then also complete…
Descriptors: Undergraduate Students, Majors (Students), English Instruction, Student Research
Reddy, Pritika; Chaudhary, Kaylash; Sharma, Bibhya; Chand, Ronil – Electronic Journal of e-Learning, 2022
The individuals living in the 21st century have become the consumers of digital innovations and have to adapt, adopt and adapt to the new norm of surviving and thriving in the digital society. Familiarity with the latest technologies is not the only requirement for survival. One also needs to have relevant digital competencies to complete tasks…
Descriptors: Digital Literacy, Evaluation, Predictor Variables, Higher Education
Deng, Lifang; Chan, Wai – Educational and Psychological Measurement, 2017
Reliable measurements are key to social science research. Multiple measures of reliability of the total score have been developed, including coefficient alpha, coefficient omega, the greatest lower bound reliability, and others. Among these, the coefficient alpha has been most widely used, and it is reported in nearly every study involving the…
Descriptors: Reliability, Statistical Analysis, Computation, Differences
Pustejovsky, James E.; Rodgers, Melissa A. – Research Synthesis Methods, 2019
Publication bias and other forms of outcome reporting bias are critical threats to the validity of findings from research syntheses. A variety of methods have been proposed for detecting selective outcome reporting in a collection of effect size estimates, including several methods based on assessment of asymmetry of funnel plots, such as the…
Descriptors: Effect Size, Regression (Statistics), Statistical Analysis, Error of Measurement
Wallin, Gabriel; Wiberg, Marie – Journal of Educational and Behavioral Statistics, 2019
When equating two test forms, the equated scores will be biased if the test groups differ in ability. To adjust for the ability imbalance between nonequivalent groups, a set of common items is often used. When no common items are available, it has been suggested to use covariates correlated with the test scores instead. In this article, we reduce…
Descriptors: Equated Scores, Test Items, Probability, College Entrance Examinations
Wind, Stefanie A. – Language Testing, 2019
Differences in rater judgments that are systematically related to construct-irrelevant characteristics threaten the fairness of rater-mediated writing assessments. Accordingly, it is essential that researchers and practitioners examine the degree to which the psychometric quality of rater judgments is comparable across test-taker subgroups.…
Descriptors: Nonparametric Statistics, Interrater Reliability, Differences, Writing Tests
Swann, G. M. Peter – Journal of Economic Education, 2019
Many empirical economists say that the teaching of econometrics is unbalanced, and students are not well-prepared for the serious problems they will encounter with real data. Here, the author considers the problem of noisy data, which is present in most econometric studies, but receives far too little attention. Most econometric studies are done…
Descriptors: Economics Education, Economics, Data, Problems
Kim, Hanjoe – New Directions for Child and Adolescent Development, 2019
Propensity score analysis is a statistical method that balances pre-existing differences across treatment conditions achieving a similar condition as randomization and thus, allowing the estimation of causal effects in non-randomized experimental designs. The four stages in propensity score analysis are (1) propensity score estimation, (2)…
Descriptors: Probability, Scores, Research Design, Statistical Analysis
Gaining Insights into Aggressive Behaviour in Autism Spectrum Disorder Using Latent Profile Analysis
Sullivan, Matthew O.; Gallagher, Louise; Heron, Elizabeth A. – Journal of Autism and Developmental Disorders, 2019
Aggressive behaviour is a significant issue for individuals with autism spectrum disorder (ASD), yet our understanding is limited compared to aggression in typically developing populations. This study examined behavioural, adaptive and cognitive data provided by the Simons Simplex Collection (N = 2184) to identify behavioural subgroups in children…
Descriptors: Aggression, Autism, Pervasive Developmental Disorders, Statistical Analysis
Yue, Changjun; Xu, Xiaowen – ECNU Review of Education, 2019
Purpose: This article reviews the development of quantitative methods in educational research in China since 1978. Design/Approach/Methods: For this summary and literature review, we used data from the China National Knowledge Infrastructure (CNKI), relevant books, and research output from the Graduate School of Education, Peking University.…
Descriptors: Educational Research, Educational History, Statistical Analysis, Technological Advancement
Belfield, Clive R.; Brooks Bowden, A. – Educational Researcher, 2019
Cost, cost-effectiveness, and benefit-cost analysis are methods used by economists to evaluate public policies. Essentially, these methods rely on impact evaluations, that is, research studies of efficacy and effectiveness. However, in most research in education, these cost and impact evaluations are performed separately. This separation creates…
Descriptors: Cost Effectiveness, Outcome Measures, Educational Research, Economics
Roy, Sudipta – Teaching Statistics: An International Journal for Teachers, 2019
The natural experiment proposed in this article extracts three stories from boxes of "100 paper clips". The activity requires students to apply three lessons from inferential statistics, starting with a hypothesis test and including confidence intervals as well as tolerance intervals.
Descriptors: Statistical Inference, Probability, Teaching Methods, Hypothesis Testing
Hoekstra, R.; Vugteveen, J.; Warrens, M. J.; Kruyen, P. M. – International Journal of Social Research Methodology, 2019
Cronbach's alpha is the most frequently used measure to investigate the reliability of measurement instruments. Despite its frequent use, many warn for misinterpretations of alpha. These claims about regular misunderstandings, however, are not based on empirical data. To understand how common such beliefs are, we conducted a survey study to test…
Descriptors: Statistical Analysis, Researchers, Beliefs, Knowledge Level
De Raadt, Alexandra; Warrens, Matthijs J.; Bosker, Roel J.; Kiers, Henk A. L. – Educational and Psychological Measurement, 2019
Cohen's kappa coefficient is commonly used for assessing agreement between classifications of two raters on a nominal scale. Three variants of Cohen's kappa that can handle missing data are presented. Data are considered missing if one or both ratings of a unit are missing. We study how well the variants estimate the kappa value for complete data…
Descriptors: Interrater Reliability, Data, Statistical Analysis, Statistical Bias
Sinharay, Sandip – Grantee Submission, 2019
Benefiting from item preknowledge (e.g., McLeod, Lewis, & Thissen, 2003) is a major type of fraudulent behavior during educational assessments. This paper suggests a new statistic that can be used for detecting the examinees who may have benefitted from item preknowledge using their response times. The statistic quantifies the difference in…
Descriptors: Test Items, Cheating, Reaction Time, Identification