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Mara, Constance A.; Cribbie, Robert A. – Journal of Experimental Education, 2018
Researchers are often interested in establishing equivalence of population variances. Traditional difference-based procedures are appropriate to answer questions about differences in some statistic (e.g., variances, etc.). However, if a researcher is interested in evaluating the equivalence of population variances, it is more appropriate to use a…
Descriptors: Statistical Analysis, Differences, Comparative Analysis, Research Problems
Son, Sookyoung; Lee, Hyunjung; Jang, Yoona; Yang, Junyeong; Hong, Sehee – Educational and Psychological Measurement, 2019
The purpose of the present study is to compare nonnormal distributions (i.e., t, skew-normal, skew-t with equal skew and skew-t with unequal skew) in growth mixture models (GMMs) based on diverse conditions of a number of time points, sample sizes, and skewness for intercepts. To carry out this research, two simulation studies were conducted with…
Descriptors: Statistical Distributions, Statistical Analysis, Structural Equation Models, Comparative Analysis
Badillo-Vega, Rosalba; Krücken, Georg; Pineda, Pedro – Studies in Higher Education, 2021
We conducted a systematic literature review of 111 empirical studies published between 1969 and 2018. We found that research does not exponentially grow in comparison to research on higher education or leadership; empirical research emerging in the 1980s does not completely replace non-empirical inquiry. Studies from English-speaking authors…
Descriptors: College Presidents, Leadership, Educational Research, Statistical Analysis
Sirganci, Gozde; Uyumaz, Gizem; Yandi, Alperen – International Journal of Assessment Tools in Education, 2020
It is necessary to examine the measurement invariance (MI) among groups in studies where different groups are compared by using a measurement instrument. Most of the studies, measurement invariance is tested with multiple group confirmatory factor analysis. This model applies many model adjustments based on the modification indexes. Therefore, it…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Benton, Tom; Leech, Tony; Hughes, Sarah – Cambridge Assessment, 2020
In the context of examinations, the phrase "maintaining standards" usually refers to any activity designed to ensure that it is no easier (or harder) to achieve a given grade in one year than in another. Specifically, it tends to mean activities associated with setting examination grade boundaries. Benton et al (2020) describes a method…
Descriptors: Mathematics Tests, Equated Scores, Comparative Analysis, Difficulty Level
de Roo, Nina; Amede, Tewodros; Elias, Eyasu; Almekinders, Conny; Leeuwis, Cees – Journal of Agricultural Education and Extension, 2023
Purpose: Agricultural extension services in poor countries often identify opinion leaders based on criteria such as wealth and social status. We explore the effectiveness of this top-down approach by analysing the role of so-called model and nodal farmers in the diffusion of malt barley in a highland community in Ethiopia. Research approach: We…
Descriptors: Network Analysis, Social Status, Rural Extension, Case Studies
Can, Ibrahim; Cihan, Hamit; Ari, Erdal; Bayrakdaroglu, Serdar – Journal of Education and Training Studies, 2018
The aim of this investigation is to compare velocity and power variables during loaded-squat jump (SJ[subscript Loaded]) exercise of national athletes dealing with different sports branches and to identify whether velocity and power parameters become different or not according to branches. In accordance with this purpose, a total of 36 national…
Descriptors: Athletes, Physical Activities, Comparative Analysis, Motion
Cox, Kyle; Kelcey, Benjamin – Journal of Experimental Education, 2019
We derive sample-allocation formulas that maximize the power of several mediation tests in two-level-group-randomized studies under a linear cost structure and fixed budget. The results suggest that the optimal individual sample size is typically smaller than that associated with the detection of a main effect and is frequently less than 10 under…
Descriptors: Sample Size, Statistical Analysis, Costs, Monte Carlo Methods
Raimundo, João A. G.; Turnes, Tiago; de Aguiar, Rafael A.; Lisbôa, Felipe D.; Loch, Thiago; Ribeiro, Guilherme; Caputo, Fabrizio – Research Quarterly for Exercise and Sport, 2019
Purpose: Metabolic perturbation and VO[subscript 2] on-kinetics are potential modifiers of fatigue and vary in importance depending on the exercise task. Thus, performance fatigability during high-intensity exercise seems to be exercise mode dependent, affecting tolerance in the severe domain. However, the effects of exercise mode on severe domain…
Descriptors: Exercise, Comparative Analysis, Physical Activities, Testing
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
No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
von Davier, Matthias – Measurement: Interdisciplinary Research and Perspectives, 2018
This article critically reviews how diagnostic models have been conceptualized and how they compare to other approaches used in educational measurement. In particular, certain assumptions that have been taken for granted and used as defining characteristics of diagnostic models are reviewed and it is questioned whether these assumptions are the…
Descriptors: Criticism, Psychometrics, Diagnostic Tests, Educational Assessment
Sanders, Erin M.; Nyarko-Odoom, Akua O.; Zhao, Kevin; Nguyen, Michael; Liao, Hong Hong Liao; Keith, Matthew; Pyon, Jane; Kozma, Alyssa; Sanyal, Mohima; McHail, Daniel G.; Dumas, Theodore C. – Learning & Memory, 2018
N-methyl-D-aspartate receptors (NMDARs) at excitatory synapses are central to activity-dependent synaptic plasticity and learning and memory. NMDARs act as ionotropic and metabotropic receptors by elevating postsynaptic calcium concentrations and by direct intracellular protein signaling. In the forebrain, these properties are controlled largely…
Descriptors: Learning, Long Term Memory, Statistical Analysis, Spatial Ability
Erps, Ryan C.; Noguchi, Kimihiro – Journal of Educational and Behavioral Statistics, 2020
A new two-sample test for comparing variability measures is proposed. To make the test robust and powerful, a new modified structural zero removal method is applied to the Brown-Forsythe transformation. The t-test-based statistic allows results to be expressed as the ratio of mean absolute deviations from median. Extensive simulation study…
Descriptors: Statistical Analysis, Comparative Analysis, Robustness (Statistics), Sample Size
Mistler, Stephen A.; Enders, Craig K. – Journal of Educational and Behavioral Statistics, 2017
Multiple imputation methods can generally be divided into two broad frameworks: joint model (JM) imputation and fully conditional specification (FCS) imputation. JM draws missing values simultaneously for all incomplete variables using a multivariate distribution, whereas FCS imputes variables one at a time from a series of univariate conditional…
Descriptors: Statistical Analysis, Comparative Analysis, Hierarchical Linear Modeling, Computer Simulation