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Jobst, Lisa J.; Auerswald, Max; Moshagen, Morten – Educational and Psychological Measurement, 2022
Prior studies investigating the effects of non-normality in structural equation modeling typically induced non-normality in the indicator variables. This procedure neglects the factor analytic structure of the data, which is defined as the sum of latent variables and errors, so it is unclear whether previous results hold if the source of…
Descriptors: Goodness of Fit, Structural Equation Models, Error of Measurement, Factor Analysis
Jia, Yuane; Konold, Timothy – Journal of Experimental Education, 2021
Traditional observed variable multilevel models for evaluating indirect effects are limited by their inability to quantify measurement and sampling error. They are further restricted by being unable to fully separate within- and between-level effects without bias. Doubly latent models reduce these biases by decomposing the observed within-level…
Descriptors: Hierarchical Linear Modeling, Educational Environment, Aggression, Bullying
Pashley, Nicole E.; Miratrix, Luke W. – Journal of Educational and Behavioral Statistics, 2021
Evaluating blocked randomized experiments from a potential outcomes perspective has two primary branches of work. The first focuses on larger blocks, with multiple treatment and control units in each block. The second focuses on matched pairs, with a single treatment and control unit in each block. These literatures not only provide different…
Descriptors: Causal Models, Statistical Inference, Research Methodology, Computation
Adiredja, Aditya P. – PRIMUS, 2021
The complexity in understanding the [epsilon-delta] definition has motivated research into the teaching and learning of the topic. In this paper I share my design of an instructional analogy called the Pancake Story and four different questions to explore the logical relationship between [epsilon] and [delta] that structures the definition. I…
Descriptors: Mathematics Instruction, College Mathematics, Teaching Methods, Calculus
Sherman, Martin F.; Sriken, Julie; Erford, Bradley T.; Smith, Heather L.; MacInerney, Erin; Niarhos, Frances; Kipper-Smith, Adriana – Measurement and Evaluation in Counseling and Development, 2021
Analysis of CCAPS-34 scores on a large (n = 4,852) university counseling center student sample supported internal consistency ([alpha] = 0.803-0.896), one-month test-retest reliability (r[subscript tt] = 0.706-0.829), convergent and divergent validity, and good model fit. Measurement invariance of scores for all categories of race and student…
Descriptors: Psychometrics, Counseling Services, Symptoms (Individual Disorders), Factor Analysis
Affum-Osei, Emmanuel; Mensah, Henry Kofi; Forkuoh, Solomon Kwarteng; Asante, Eric Adom – International Journal of Testing, 2021
The purpose of this study was to examine the psychometric properties of the goal orientation (GO) scale across job search contexts to facilitate its use in large and varied search settings. A sample of 720 job losers and new entrants' job seekers in Ghana completed the survey. Confirmatory factor analysis supported the three-factor theoretical…
Descriptors: Goal Orientation, Job Search Methods, Psychometrics, Factor Analysis
Hosseinzadeh, Mostafa – ProQuest LLC, 2021
In real-world situations, multidimensional data may appear on large-scale tests or attitudinal surveys. A simple structure, multidimensional model may be used to evaluate the items, ignoring the cross-loading of some items on the secondary dimension. The purpose of this study was to investigate the influence of structure complexity magnitude of…
Descriptors: Item Response Theory, Models, Simulation, Evaluation Methods
Xue Zhang; Chun Wang – Grantee Submission, 2021
Among current state-of-art estimation methods for multilevel IRT models, the two-stage divide-and-conquer strategy has practical advantages, such as clearer definition of factors, convenience for secondary data analysis, convenience for model calibration and fit evaluation, and avoidance of improper solutions. However, various studies have shown…
Descriptors: Error of Measurement, Error Correction, Item Response Theory, Comparative Analysis
Morgan Rosendahl; Brian Gill; Jennifer E. Starling – Regional Educational Laboratory Mid-Atlantic, 2024
The Every Student Succeeds Act of 2015 requires states to use a variety of indicators, including standardized tests and attendance records, to designate schools for support and improvement based on schoolwide performance and the performance of groups of students within schools. Schoolwide and group-level performance indicators are also…
Descriptors: Institutional Evaluation, Elementary Secondary Education, Bayesian Statistics, Test Reliability
Nazari, Sanaz; Leite, Walter L.; Huggins-Manley, A. Corinne – Journal of Experimental Education, 2023
The piecewise latent growth models (PWLGMs) can be used to study changes in the growth trajectory of an outcome due to an event or condition, such as exposure to an intervention. When there are multiple outcomes of interest, a researcher may choose to fit a series of PWLGMs or a single parallel-process PWLGM. A comparison of these models is…
Descriptors: Growth Models, Statistical Analysis, Intervention, Comparative Analysis
Visser, Linda; Cartschau, Friederike; von Goldammer, Ariane; Brandenburg, Janin; Timmerman, Marieke; Hasselhorn, Marcus; Mähler, Claudia – Applied Measurement in Education, 2023
The growing number of children in primary schools in Germany who have German as their second language (L2) has raised questions about the fairness of performance assessment. Fair tests are a prerequisite for distinguishing between L2 learning delay and a specific learning disability. We evaluated five commonly used reading and spelling tests for…
Descriptors: Foreign Countries, Error of Measurement, Second Language Learning, German
Afolabi, Kelvin T.; Konold, Timothy R.; Maeng, Jennifer – Journal of Psychoeducational Assessment, 2023
This study evaluated the construct and structural equivalence of the English and Spanish versions of the authoritative school climate survey (ASCS). Measurement invariance was evaluated through increasingly restrictive tests on a sample of N = 6976 high school students, with focus on the three core ASCS scales: Students' Willingness to Seek Help,…
Descriptors: Student Surveys, Educational Environment, English, Spanish
Goulet, Julie; Morizot, Julien – Learning Environments Research, 2023
School climate is an essential ingredient of student well-being and academic success. Although it has been studied extensively, only a few well-validated instruments are available for the assessment of school climate. The aim of this study was to assess the factor validity and measurement invariance of the Socio-educational Environment…
Descriptors: Questionnaires, Educational Environment, Longitudinal Studies, Factor Structure
Li, Xinru; Dusseldorp, Elise; Meulman, Jacqueline J. – Research Synthesis Methods, 2019
In meta-analytic studies, there are often multiple moderators available (eg, study characteristics). In such cases, traditional meta-analysis methods often lack sufficient power to investigate interaction effects between moderators, especially high-order interactions. To overcome this problem, meta-CART was proposed: an approach that applies…
Descriptors: Correlation, Meta Analysis, Identification, Testing
Boisen, Olivia; Corral, Alesha; Pope, Emily; Goeltz, John C. – Journal of Chemical Education, 2019
Standard glass pH electrodes are ubiquitous instruments used in research and in classrooms to measure the hydrogen ions present in a solution. While many chemists and educators have communicated ways to support teaching conceptual understanding of solution pH and the function of pH probes and dyes, the community lacks a methodology that enables…
Descriptors: Measurement Equipment, Chemistry, College Science, Science Instruction