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Thompson, W. Burt – Teaching of Psychology, 2019
When a psychologist announces a new research finding, it is often based on a rejected null hypothesis. However, if that hypothesis is true, the claim is a false alarm. Many students mistakenly believe that the probability of committing a false alarm equals alpha, the criterion for statistical significance, which is typically set at 5%. Instructors…
Descriptors: Statistical Analysis, Hypothesis Testing, Misconceptions, Data Interpretation
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Garcia-Garzon, Eduardo; Abad, Francisco J.; Garrido, Luis E. – Journal of Intelligence, 2019
There has been increased interest in assessing the quality and usefulness of short versions of the Raven's Progressive Matrices. A recent proposal, composed of the last twelve matrices of the Standard Progressive Matrices (SPM-LS), has been depicted as a valid measure of "g." Nonetheless, the results provided in the initial validation…
Descriptors: Intelligence Tests, Test Validity, Evaluation Methods, Undergraduate Students
Creswell, John W.; Guetterman, Timothy C. – Pearson, 2019
"Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research" offers a truly balanced, inclusive, and integrated overview of the processes involved in educational research. This text first examines the general steps in the research process and then details the procedures for conducting specific types…
Descriptors: Educational Research, Statistical Analysis, Qualitative Research, Research Design
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Taber, Keith S. – Chemistry Education Research and Practice, 2020
This comment discusses some issues about the use and reporting of experimental studies in education, illustrated by a recently published study that claimed (i) that an educational innovation was effective despite outcomes not reaching statistical significance, and (ii) that this refuted the findings of an earlier study. The two key issues raised…
Descriptors: Chemistry, Educational Innovation, Statistical Significance, Statistical Inference
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Ranger, Jochen; Kuhn, Jörg Tobias; Ortner, Tuulia M. – Educational and Psychological Measurement, 2020
The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels--one for the responses and one for the response times--that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a…
Descriptors: Reaction Time, Tests, Statistical Distributions, Models
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Liu, Yuan; Hau, Kit-Tai – Educational and Psychological Measurement, 2020
In large-scale low-stake assessment such as the Programme for International Student Assessment (PISA), students may skip items (missingness) which are within their ability to complete. The detection and taking care of these noneffortful responses, as a measure of test-taking motivation, is an important issue in modern psychometric models.…
Descriptors: Response Style (Tests), Motivation, Test Items, Statistical Analysis
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Park, Soojin; Palardy, Gregory J. – Journal of Educational and Behavioral Statistics, 2020
Estimating the effects of randomized experiments and, by extension, their mediating mechanisms, is often complicated by treatment noncompliance. Two estimation methods for causal mediation in the presence of noncompliance have recently been proposed, the instrumental variable method (IV-mediate) and maximum likelihood method (ML-mediate). However,…
Descriptors: Computation, Compliance (Psychology), Maximum Likelihood Statistics, Statistical Analysis
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von Oertzen, Timo; Schmiedek, Florian; Voelkle, Manuel C. – Journal of Intelligence, 2020
Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time. Recently, there has been an increased interest in the…
Descriptors: Cognitive Ability, Individual Differences, Statistical Analysis, Factor Analysis
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Mau, Steffen – International Studies in Sociology of Education, 2020
The process of quantification is a powerful development shaping many domains of life today. In the area of education, for example, performance measurement, testing and ranking have become common tools of governance. Quantification is not a neutral way of describing society, but a process of valorisation. It has three sociologically relevant…
Descriptors: Statistical Analysis, Social Influences, Research Methodology, Evaluation Methods
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Scott, Nicholas A. – International Journal of Social Research Methodology, 2020
This article contends that the 'go-along' contains more technical and ontological agility as a methodology for social research than is often assumed. After distinguishing the central spectrums of technical and ontological agility rooted in different research designs and philosophical orientations, I examine how researchers can nourish it while…
Descriptors: Research Methodology, Social Science Research, Mobility, Foreign Countries
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Sapsaglam, Özkan; Aydin, Demet; Toksoy, Nazlican – Educational Research and Reviews, 2020
Preschool period covers the years when the child is in a rapid change and development in every aspect. The learning experiences in this period affect children's development. The developments in knowledge technologies affect the child's environment and children's books. This rapid change brings with it some discussions. "Do either traditional…
Descriptors: Preschool Children, Recall (Psychology), Electronic Publishing, Picture Books
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Forest Fisher; Tara Bahl; Nate Mickleson – Research & Practice in Assessment, 2023
This article describes a faculty-led project to assess and revise institutional student learning outcomes at a small urban community college. The revision process involved four stages: (1) exploring stakeholders' explicit and implicit understandings through an experimental assessment; (2) using statistical tools to identify redundancies and…
Descriptors: Urban Areas, Community Colleges, College Faculty, Outcome Based Education
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To, Jessica; Panadero, Ernesto; Carless, David – Assessment & Evaluation in Higher Education, 2022
The analysis of exemplars of different quality is a potentially powerful tool in enabling students to understand assessment expectations and appreciate academic standards. Through a systematic review methodology, this paper synthesises exemplar-based research designs, exemplar implementation and the educational effects of exemplars. The review of…
Descriptors: Research Design, Scoring Rubrics, Peer Evaluation, Self Evaluation (Individuals)
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Chung Hyewon; Kim, Jung-In; Jung, Eunjin; Park, Soyoung – International Journal of Educational Psychology, 2022
The Program for International Student Assessment (PISA) aims to provide comparative data on 15-year-olds' academic performance and well-being. The purpose of the current study is to explore and compare the variables that predict the reading literacy and life satisfaction of U.S. and South Korean students. The random forest algorithm, which is a…
Descriptors: Comparative Education, Predictor Variables, Literacy, Life Satisfaction
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Hancock, Gregory R.; McNeish, Daniel M. – Journal of Experimental Education, 2017
For the two-way factorial design in analysis of variance, the current article explicates and compares three methods for controlling the Type I error rate for all possible simple interaction contrasts following a statistically significant interaction, including a proposed modification to the Bonferroni procedure that increases the power of…
Descriptors: Statistical Analysis, Hypothesis Testing, Comparative Analysis, Statistical Significance
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