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Huang, Jiajing; Liang, Xinya; Yang, Yanyun – AERA Online Paper Repository, 2017
In Bayesian structural equation modeling (BSEM), prior settings may affect model fit, parameter estimation, and model comparison. This simulation study was to investigate how the priors impact evaluation of relative fit across competing models. The design factors for data generation included sample sizes, factor structures, data distributions, and…
Descriptors: Bayesian Statistics, Structural Equation Models, Goodness of Fit, Sample Size
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Asiret, Semih; Sünbül, Seçil Ömür – Educational Sciences: Theory and Practice, 2016
In this study, equating methods for random group design using small samples through factors such as sample size, difference in difficulty between forms, and guessing parameter was aimed for comparison. Moreover, which method gives better results under which conditions was also investigated. In this study, 5,000 dichotomous simulated data…
Descriptors: Equated Scores, Sample Size, Difficulty Level, Guessing (Tests)
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Alonso-Mencía, M. Elena; Alario-Hoyos, Carlos; Maldonado-Mahauad, Jorge; Estévez-Ayres, Iria; Pérez-Sanagustín, Mar; Delgado Kloos, Carlos – Educational Review, 2020
Learners in massive open online courses (MOOCs) are required to be autonomous during their learning process, and thus they need to self-regulate their learning to achieve their goals. According to existing literature, self-regulated learning (SRL) research in MOOCs is still scarce. More studies which build on past works regarding SRL in MOOCs are…
Descriptors: Online Courses, Independent Study, Self Management, Learning Strategies
New York State Education Department, 2020
This document describes the model used to measure student growth for institutional accountability in New York State for the 2018/19 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index was first used in 2017/18 to make accountability…
Descriptors: Growth Models, Accountability, Scores, Predictor Variables
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Erdem Aydin, Irem; Bozkaya, Müjgan; Genc Kumtepe, Evrim – Turkish Online Journal of Educational Technology - TOJET, 2019
The overall aim of this study was to review research trends and issues in the field of educational technology specifically focused on the articles published in the Turkish Online Journal of Educational Technology (TOJET) from 2012 to 2018. Content analysis was used to examine (a) general characteristics of studies; (b) research themes and issues;…
Descriptors: Educational Research, Educational Technology, Periodicals, Journal Articles
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Collins, Harry; Evans, Robert – Journal of Mixed Methods Research, 2017
By distinguishing between a survey and--a newly introduced term--a "probe," we recast the relationship between qualitative and quantitative approaches to social science. The difference turns on the "uniformity" of the phenomenon being examined. Uniformity is a fundamental idea underlying all scientific research but is rarely…
Descriptors: Surveys, Qualitative Research, Statistical Analysis, Social Science Research
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Boyle, Lauren H.; Whittaker, Tiffany A.; Eyal, Maytal; McCarthy, Christopher J. – Journal for Specialists in Group Work, 2017
The authors conducted a content analysis on quantitative studies published in "The Journal for Specialists in Group Work" ("JSGW") between 2012 and 2015. This brief report provides a general overview of the current practices of quantitative group research in counseling. The following study characteristics are reported and…
Descriptors: Content Analysis, Group Counseling, Research Methodology, Research Design
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Guo, Hongwen; Robin, Frederic; Dorans, Neil – Journal of Educational Measurement, 2017
The early detection of item drift is an important issue for frequently administered testing programs because items are reused over time. Unfortunately, operational data tend to be very sparse and do not lend themselves to frequent monitoring analyses, particularly for on-demand testing. Building on existing residual analyses, the authors propose…
Descriptors: Testing, Test Items, Identification, Sample Size
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Fosnacht, Kevin; Gonyea, Robert M. – Research & Practice in Assessment, 2018
This study utilized generalizability theory to assess the context where the National Survey of Student Engagement's (NSSE) summary measures, the Engagement Indicators, produce dependable group-level means. The dependability of NSSE group means is an important topic for the higher education assessment community given its wide utilization and usage…
Descriptors: College Freshmen, College Seniors, Learner Engagement, National Surveys
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Vuolo, Mike; Uggen, Christopher; Lageson, Sarah – Sociological Methods & Research, 2016
Given their capacity to identify causal relationships, experimental audit studies have grown increasingly popular in the social sciences. Typically, investigators send fictitious auditors who differ by a key factor (e.g., race) to particular experimental units (e.g., employers) and then compare treatment and control groups on a dichotomous outcome…
Descriptors: Statistical Analysis, Audits (Verification), Social Science Research, Sample Size
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Gerring, John; Cojocaru, Lee – Sociological Methods & Research, 2016
This study revisits the task of case selection in case study research, proposing a new typology of strategies that is explicit, disaggregated, and relatively comprehensive. A secondary goal is to explore the prospects for case selection by "algorithm," aka "ex ante," "automatic," "quantitative,"…
Descriptors: Case Studies, Selection, Research Design, Social Science Research
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Spybrook, Jessaca; Kelcey, Ben; Dong, Nianbo – Society for Research on Educational Effectiveness, 2016
Cluster randomized trials (CRTs), or studies in which intact groups of individuals are randomly assigned to a condition, are becoming more common in evaluation studies of educational programs. A specific type of CRT in which clusters are randomly assigned to treatment within blocks or sites, known as multisite cluster randomized trials (MSCRTs),…
Descriptors: Statistical Analysis, Computation, Randomized Controlled Trials, Cluster Grouping
Liu, Jin – ProQuest LLC, 2015
Statistical power is important in a meta-analysis study, although few studies have examined the performance of simulated power in meta-analysis. The purpose of this study is to inform researchers about statistical power estimation on two sample mean difference test under different situations: (1) the discrepancy between the analytical power and…
Descriptors: Statistical Analysis, Meta Analysis, Simulation, Computation
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Kang, Hyeon-Ah; Lu, Ying; Chang, Hua-Hua – Applied Measurement in Education, 2017
Increasing use of item pools in large-scale educational assessments calls for an appropriate scaling procedure to achieve a common metric among field-tested items. The present study examines scaling procedures for developing a new item pool under a spiraled block linking design. The three scaling procedures are considered: (a) concurrent…
Descriptors: Item Response Theory, Accuracy, Educational Assessment, Test Items
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Lehrer, Richard – Statistics Education Research Journal, 2017
Grade 6 (modal age 11) students invented and revised models of the variability generated as each measured the perimeter of a table in their classroom. To construct models, students represented variability as a linear composite of true measure (signal) and multiple sources of random error. Students revised models by developing sampling…
Descriptors: Models, Statistics, Statistical Inference, Mathematics Instruction
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