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Vanessa Hus Bal; Peter Szatmari; Stelios Georgiades; Stephen J. Gentles; Jessica Girault; Patricia Howlin; Meng-Chuan Lai; Virginia Carter Leno; Catherine Lord; Katie Madgett; Stephen J. Sheinkopf; Emily Simonoff; Zachary J. Williams; Lonnie Zwaigenbaum; Alycia Halladay – Autism: The International Journal of Research and Practice, 2025
Longitudinal research in autism has contributed a wealth of knowledge about etiological factors, development from childhood through adulthood, life course changes and needs, as well as longer-term adult outcomes for individuals on the spectrum and their family members. This research is essential to better understand the needs of individuals as…
Descriptors: Autism Spectrum Disorders, Etiology, Longitudinal Studies, Individual Needs
Leslie Rutkowski; David Rutkowski – Journal of Creative Behavior, 2025
The Programme for International Student Assessment (PISA) introduced creative thinking as an innovative domain in 2022. This paper examines the unique methodological issues in international assessments and the implications of measuring creative thinking within PISA's framework, including stratified sampling, rotated form designs, and a distinct…
Descriptors: Creativity, Creative Thinking, Measurement, Sampling
Wentzel, Kathryn R. – Educational Psychologist, 2021
In this article, I comment on the potential benefits and limitations of open science reforms for improving the transparency and accountability of research, and enhancing the credibility of research findings within communities of policy and practice. Specifically, I discuss the role of replication and reproducibility of research in promoting better…
Descriptors: Access to Information, Research, Credibility, Replication (Evaluation)
Kern, Holger L.; Stuart, Elizabeth A.; Hill, Jennifer; Green, Donald P. – Journal of Research on Educational Effectiveness, 2016
Randomized experiments are considered the gold standard for causal inference because they can provide unbiased estimates of treatment effects for the experimental participants. However, researchers and policymakers are often interested in using a specific experiment to inform decisions about other target populations. In education research,…
Descriptors: Educational Research, Generalization, Sampling, Participant Characteristics
Baskas, Richard S. – Online Submission, 2011
This study compared and contrasted two quantitative scholarly articles in relation to their research designs. Their designs were analyzed by the comparison of research references and research specific vocabulary to describe how various research methods were used. When researching and analyzing quantitative scholarly articles, it is imperative to…
Descriptors: Statistical Analysis, Research Design, Journal Articles, Research Methodology
Marsh, Herbert W.; Ludtke, Oliver; Nagengast, Benjamin; Trautwein, Ulrich; Morin, Alexandre J. S.; Abduljabbar, Adel S.; Koller, Olaf – Educational Psychologist, 2012
Classroom context and climate are inherently classroom-level (L2) constructs, but applied researchers sometimes--inappropriately--represent them by student-level (L1) responses in single-level models rather than more appropriate multilevel models. Here we focus on important conceptual issues (distinctions between climate and contextual variables;…
Descriptors: Foreign Countries, Classroom Environment, Educational Research, Research Design
Dubois, Cathy; Long, Lori – International Journal on E-Learning, 2012
E-learning researchers face considerable challenges in creating meaningful and generalizable studies due to the complex nature of this dynamic training medium. Our experience in conducting workplace e-learning research led us to create this guide for planning research on e-learning. We share the unanticipated complications we encountered in our…
Descriptors: Electronic Learning, Course Content, Instructional Design, Program Implementation
Reardon, Sean F. – Society for Research on Educational Effectiveness, 2010
Instrumental variable estimators hold the promise of enabling researchers to estimate the effects of educational treatments that are not (or cannot be) randomly assigned but that may be affected by randomly assigned interventions. Examples of the use of instrumental variables in such cases are increasingly common in educational and social science…
Descriptors: Social Science Research, Least Squares Statistics, Computation, Correlation
Silvia, Suyapa; Blitstein, Jonathan; Williams, Jason; Ringwalt, Chris; Dusenbury, Linda; Hansen, William – National Center for Education Evaluation and Regional Assistance, 2010
This is the first of two reports that summarize the findings from an impact evaluation of a violence prevention intervention for middle schools. This report discusses findings after 1 year of implementation. A forthcoming report will discuss the findings after 2 years and 3 years of implementation. In 2004, the U.S. Department of Education (ED)…
Descriptors: Middle Schools, Violence, Prevention, Intervention
Gugiu, P. Cristian – Journal of MultiDisciplinary Evaluation, 2007
The constraints of conducting evaluations in real-world settings often necessitate the implementation of less than ideal designs. Unfortunately, the standard method for estimating the precision of a result (i.e., confidence intervals [CI]) cannot be used for evaluative conclusions that are derived from multiple indicators, measures, and data…
Descriptors: Measurement, Evaluation Methods, Evaluation Problems, Error of Measurement
Peer reviewedRamos, Robert A.; Stern, June – Journal of Educational Measurement, 1973
The purpose of the present study was to determine whether a "natural" four-alternative multiple choice item represents the same psychological task as a five-choice item rescored as a four-choice item. (Author)
Descriptors: Data Analysis, Language Tests, Measurement, Multiple Choice Tests
Lundahl, Brad W. – Journal of Teaching in Social Work, 2008
To complement traditional learning activities in a masters-level research methodology course, social work students worked on a formal research project which involved: designing the study, constructing measures, selecting a sampling strategy, collecting data, reducing and analyzing data, and finally interpreting and communicating the results. The…
Descriptors: Student Attitudes, Research Projects, Research Methodology, Learning Strategies
McLaughlin, Donald H.; And Others – 1977
This document answers the question, "What has been learned about evaluation methodology from the decade of compensatory education"? Ten issues dealing with the evaluation of Title I were identified within a general theoretical framework of evaluation. For each issue it was the aim of this document to do the following: 1)to clarify the…
Descriptors: Compensatory Education, Data Analysis, Measurement, Measurement Objectives
Smith, Kenneth F. – 1975
The National Food and Agriculture Council of the Philippines regularly requires rapid feedback data for analysis, which will assist in monitoring programs to improve and increase the production of selected crops by small scale farmers. Since many other development programs in various subject matter areas also require similar statistical…
Descriptors: Data Analysis, Data Collection, Guides, Measurement
Peer reviewedKee, Daniel W.; Rohwer, William D., Jr. – Journal of Educational Psychology, 1973
The present experiment was performed in order to investigate learning efficiency within four different ethnic groups: black, white, Chinese-American, and Spanish-American. In all groups, sampling was confined to children from low-socioeconomic-status communities. (Author)
Descriptors: Elementary School Students, Ethnic Groups, Learning Processes, Measurement
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