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The Double Bind of Qualitative Comparative Analysis
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Arel-Bundock, Vincent – Sociological Methods & Research, 2022
Qualitative comparative analysis (QCA) is an influential methodological approach motivated by set theory and boolean logic. QCA proponents have developed algorithms to analyze quantitative data, in a bid to uncover necessary and sufficient conditions where causal relationships are complex, conditional, or asymmetric. This article uses computer…
Descriptors: Comparative Analysis, Qualitative Research, Attribution Theory, Computer Simulation
A Note on Using the Nonparametric Levene Test When Population Means Are Unequal
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Shear, Benjamin R.; Nordstokke, David W.; Zumbo, Bruno D. – Practical Assessment, Research & Evaluation, 2018
This computer simulation study evaluates the robustness of the nonparametric Levene test of equal variances (Nordstokke & Zumbo, 2010) when sampling from populations with unequal (and unknown) means. Testing for population mean differences when population variances are unknown and possibly unequal is often referred to as the Behrens-Fisher…
Descriptors: Nonparametric Statistics, Computer Simulation, Monte Carlo Methods, Sampling
The Effect of Using Theodolite 3D AR in Teaching Measurement Error on Learning Outcomes and Satisfaction of Civil Engineering Students with Different Spatial Ability
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Weng, Cathy; Puspitasari, Dani; Tran, Khanh Nguyen Phuong; Feng, Pei Jie; Awuor, Nicholas O.; Matere, Isaac Manyonge – Interactive Learning Environments, 2023
The purpose of this study was to investigate the effect of augmented reality (AR) using a 3D app in a smartphone on students' learning outcomes and satisfaction in teaching angle measurement error to vocational high school students with different spatial ability. A quasi-experimental pretest/posttest was employed. There were 197 students from…
Descriptors: Teaching Methods, Error of Measurement, Multimedia Instruction, Learning Processes
An Examination of the Impact of Residuals and Residual Covariance Structures on Scores for Next Generation, Mixed-Format, Online Assessments with the Existence of Potential Irrelevant Dimensions under Various Calibration Strategies
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Bukhari, Nurliyana – ProQuest LLC, 2017
In general, newer educational assessments are deemed more demanding challenges than students are currently prepared to face. Two types of factors may contribute to the test scores: (1) factors or dimensions that are of primary interest to the construct or test domain; and, (2) factors or dimensions that are irrelevant to the construct, causing…
Descriptors: Item Response Theory, Models, Psychometrics, Computer Simulation
Precision of Student Growth Percentiles with Small Sample Sizes
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Culbertson, Michael J. – Regional Educational Laboratory Central, 2016
States in the Regional Educational Laboratory (REL) Central region serve a largely rural population with many states enrolling fewer than 350,000 students. A common challenge identified among REL Central educators is identifying appropriate methods for analyzing data with small samples of students. In particular, members of the REL Central…
Descriptors: Student Development, Sample Size, Academic Achievement, Scores
Investigation of Coefficient of Individual Agreement in Terms of Sample Size, Random and Monotone Missing Ratio, and Number of Repeated Measures
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Temel, Gülhan Orekici; Erdogan, Semra; Selvi, Hüseyin; Kaya, Irem Ersöz – Educational Sciences: Theory and Practice, 2016
Studies based on longitudinal data focus on the change and development of the situation being investigated and allow for examining cases regarding education, individual development, cultural change, and socioeconomic improvement in time. However, as these studies require taking repeated measures in different time periods, they may include various…
Descriptors: Investigations, Sample Size, Longitudinal Studies, Interrater Reliability