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Andrich, David – Educational Measurement: Issues and Practice, 2016
Since Cronbach's (1951) elaboration of a from its introduction by Guttman (1945), this coefficient has become ubiquitous in characterizing assessment instruments in education, psychology, and other social sciences. Also ubiquitous are caveats on the calculation and interpretation of this coefficient. This article summarizes a recent contribution…
Descriptors: Computation, Correlation, Test Theory, Measures (Individuals)
Karlgren, Klas; Ramberg, Robert; Artman, Henrik – International Journal of Technology and Design Education, 2016
Interaction design is usually described as being concerned with interactions with and through artifacts but independent of a specific implementation. Design work has been characterized as a conversation between the designer and the situation and this conversation poses a particular challenge for interaction design as interactions can be elusive…
Descriptors: Interaction, Design, Design Requirements, Instructional Design
Cheung, Mike W.-L.; Cheung, Shu Fai – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…
Descriptors: Statistical Analysis, Models, Meta Analysis, Structural Equation Models
Linderholm, Tracy; Dobson, John; Yarbrough, Mary Beth – Advances in Physiology Education, 2016
A testing-based learning strategy is one that relies on the act of recalling (i.e., testing) information after exposure, and interleaving is a strategy in which the learning materials are presented in a serial order (e.g., "texts 1, 2, 3, 1, 2, 3, 1, 2, 3") versus a blocked order (e.g., "texts 1, 1, 1, 2, 2, 2, 3, 3, 3").…
Descriptors: Learning Strategies, Statistical Analysis, Correlation, Multivariate Analysis
Cisse-Egbuonye, Nafissatou; Liles, Sandy; Schmitz, Katharine E.; Kassem, Nada; Irvin, Veronica L.; Hovell, Melbourne F. – Journal of School Health, 2016
Background: This study examined the availability of foods sold in vending machines and school stores in United States public and private schools, and associations of availability with students' food purchases and consumption. Methods: Descriptive analyses, chi-square tests, and Spearman product-moment correlations were conducted on data collected…
Descriptors: Public Schools, Private Schools, Equipment, Retailing
Kilgus, Stephen P. – Communique, 2016
One of the most common questions asked within school psychology research concerns the relationship between an intervention (independent variable) and an outcome (dependent variable). For example, say a researcher is interested in the effect of a cognitive-behavioral intervention (independent variable) on student depression (dependent variable).…
Descriptors: Statistical Analysis, School Psychology, School Psychologists, Intervention
Qi Zhang; Jessaca Spybrook; Fatih Unlu – AERA Open, 2020
With the increasing demand for evidence-based research on teacher effectiveness and improving student achievement, more impact studies are being conducted to examine the effectiveness of professional development (PD) interventions. Cluster randomized trials (CRTs) are often carried out to assess PD interventions that aim to improve both teacher…
Descriptors: Randomized Controlled Trials, Research Design, Statistical Analysis, Science Achievement
Stojmenovska, Dragana; Bol, Thijs; Leopold, Thomas – Teaching Sociology, 2019
Replicating published studies promotes active learning of quantitative research skills. Drawing on experiences from a replication course, we provide practical tips and reflections for teachers who consider incorporating replication in their courses. We discuss teaching practices and challenges we encountered at three stages of a replication…
Descriptors: Replication (Evaluation), College Instruction, Research Training, Statistical Analysis
Vaheoja, Monika; Verhelst, N. D.; Eggen, T.J.H.M. – European Journal of Science and Mathematics Education, 2019
In this article, the authors applied profile analysis to Maths exam data to demonstrate how different exam forms, differing in difficulty and length, can be reported and easily interpreted. The results were presented for different groups of participants and for different institutions in different Maths domains by evaluating the balance. Some…
Descriptors: Feedback (Response), Foreign Countries, Statistical Analysis, Scores
Zhang, Guangjian; Preacher, Kristopher J. – Journal of Educational and Behavioral Statistics, 2015
In this article, we report a surprising phenomenon: Oblique CF-varimax and oblique CF-quartimax rotation produced similar point estimates for rotated factor loadings and factor correlations but different standard error estimates in an empirical example. Influences of factor rotation on asymptotic standard errors are investigated using a numerical…
Descriptors: Factor Analysis, Error of Measurement, Correlation, Statistical Analysis
Abel, Todd; Poling, Lisa – Teaching Statistics: An International Journal for Teachers, 2015
Working with practicing teachers, this article demonstrates, through the facilitation of a statistical activity, how to introduce and investigate the unique qualities of the statistical process including: formulate a question, collect data, analyze data, and interpret data.
Descriptors: Statistical Analysis, Concept Formation, Data Collection, Data Interpretation
Cocciolo, Anthony – Information Research: An International Electronic Journal, 2015
Introduction: This study addresses the following research question: is the use of text on the World Wide Web declining? If so, when did it start declining, and by how much has it declined? Method: Web pages are downloaded from the Internet Archive for the years 1999, 2002, 2005, 2008, 2011 and 2014, producing 600 captures of 100 prominent and…
Descriptors: Internet, Archives, Statistical Analysis, Layout (Publications)
Manly, Catherine A.; Wells, Ryan S. – Research in Higher Education, 2015
Higher education researchers using survey data often face decisions about handling missing data. Multiple imputation (MI) is considered by many statisticians to be the most appropriate technique for addressing missing data in many circumstances. In particular, it has been shown to be preferable to listwise deletion, which has historically been a…
Descriptors: Higher Education, Educational Research, Surveys, Data
P. M., Majitha; Sajan, K. S. – Online Submission, 2015
The purpose of the study was to find out the difference in the mean scores of coping strategies of student teachers based on their subject of specialisation. A total of 558 student teachers were selected for the study. Results indicate that there exists a significant difference in the mean scores of Coping Strategies of student teachers of Arts…
Descriptors: Coping, Specialization, Differences, Scores
Dotter, Dallas; Mabli, James; Carlson, Barbara; Hartnack, Julie; DeCamillis, Mason; Paxton, Nora; Defnet, Amy; Schochet, Peter; Hamilton, Gayle; Freedman, Stephen – US Department of Agriculture, 2022
This technical supplement to the Supplemental Nutrition Assistance Program (SNAP) Employment and Training (E&T) evaluation final reports presents details of the technical approach used for creating analysis variables and estimating impacts of treatment group services on outcomes, including employment, earnings, and SNAP participation. It also…
Descriptors: Pilot Projects, Program Implementation, Cost Effectiveness, Barriers

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