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Benton, Tom; Williamson, Joanna – Research Matters, 2022
Equating methods are designed to adjust between alternate versions of assessments targeting the same content at the same level, with the aim that scores from the different versions can be used interchangeably. The statistical processes used in equating have, however, been extended to statistically "link" assessments that differ, such as…
Descriptors: Statistical Analysis, Equated Scores, Definitions, Alternative Assessment
Ponce-Renova, Hector F. – Journal of New Approaches in Educational Research, 2022
This paper's objective was to teach the Equivalence Testing applied to Educational Research to emphasize recommendations and to increase quality of research. Equivalence Testing is a technique used to compare effect sizes or means of two different studies to ascertain if they would be statistically equivalent. For making accessible Equivalence…
Descriptors: Educational Research, Effect Size, Statistical Analysis, Intervals
Jiajing Huang – ProQuest LLC, 2022
The nonequivalent-groups anchor-test (NEAT) data-collection design is commonly used in large-scale assessments. Under this design, different test groups take different test forms. Each test form has its own unique items and all test forms share a set of common items. If item response theory (IRT) models are applied to analyze the test data, the…
Descriptors: Item Response Theory, Test Format, Test Items, Test Construction
S. Stanley Young; Warren Kindzierski; David Randall – National Association of Scholars, 2022
"Shifting Sands: Flimsy Food Findings" examines how irreproducible science affects select areas of government policy and regulation governed by different federal agencies. This second report focuses on "Food Frequency Questionnaire" and irreproducible research in the field of nutritional epidemiology, which informs the U.S.…
Descriptors: Food, Evidence, Federal Regulation, Nutrition
Dyer, Wendy; Williams, Malcolm – International Journal of Social Research Methodology, 2021
The use of quantitative methods within realist methodologies are fairly rare. This is perhaps because a realist understanding of the social word as complex and dynamic (messy but not chaotic) does not sit well with traditional variable-based causal analysis which test specific theoretical assumptions, yet cannot account for interaction, moderation…
Descriptors: Statistical Analysis, Realism, Research Methodology, Epistemology
Byiers, Breanne J.; Pennington, Brittany; Rudolph, Brenna N.; Ford, Andrea L. B. – Journal of Behavioral Education, 2021
Single-case experimental designs (SCEDs) are a useful tool for evaluating the effects of interventions at an individual level and can play an important role in the development and validation of evidence-based practices. Historically, researchers relied on visual analysis of SCED data and eschewed statistical approaches. Although researchers…
Descriptors: Statistical Analysis, Research Design, Research Methodology, Experiments
Revuelta, Javier; Franco-Martínez, Alicia; Ximénez, Carmen – Educational and Psychological Measurement, 2021
Situational judgment tests have gained popularity in educational and psychological measurement and are widely used in personnel assessment. A situational judgment item presents a hypothetical scenario and a list of actions, and the individuals are asked to select their most likely action for that scenario. Because actions have no explicit order,…
Descriptors: Factor Analysis, Situational Tests, Statistical Analysis, Sex Stereotypes
Levy, Roy; Xia, Yan; Green, Samuel B. – Educational and Psychological Measurement, 2021
A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and…
Descriptors: Bayesian Statistics, Statistical Analysis, Factor Structure, Probability
Bulus, Metin; Koyuncu, Ilhan – Participatory Educational Research, 2021
This study systematically reviews randomly selected 155 experimental studies in education field originated in the Republic of Turkey between 2010 and 2020. Indiscriminate choice of sample size in recent publications prompted us to evaluate their statistical power and precision. First, above and beyond our review, we could not identify any…
Descriptors: Foreign Countries, Educational Research, Statistical Analysis, Sample Size
Dauer, Joseph; Mayes, Robert; Rittschof, Kent; Gallant, Bryon – International Journal of Science Education, 2021
Quantitative modelling plays an important role as biology increasingly deals with big data sets, relies on modelling to understand system dynamics, makes predictions about impacts of changes, and revises our understanding of system interactions. An assessment of quantitative modelling in biology was administered to students (n = 612) in…
Descriptors: Statistical Analysis, Biology, College Science, Undergraduate Students
Bloome, Deirdre; Schrage, Daniel – Sociological Methods & Research, 2021
Causal analyses typically focus on average treatment effects. Yet for substantive research on topics like inequality, interest extends to treatments' distributional consequences. When individuals differ in their responses to treatment, three types of inequality may result. Treatment may shape inequalities between subgroups defined by pretreatment…
Descriptors: Regression (Statistics), Outcomes of Treatment, Statistical Analysis, Correlation
Raykov, Tenko; Marcoulides, George A.; Pusic, Martin – Measurement: Interdisciplinary Research and Perspectives, 2021
An interval estimation procedure is discussed that can be used to evaluate the probability of a particular response for a binary or binary scored item at a pre-specified point along an underlying latent continuum. The item is assumed to: (a) be part of a unidimensional multi-component measuring instrument that may contain also polytomous items,…
Descriptors: Item Response Theory, Computation, Probability, Test Items
Tomek, Sara; Robinson, Cecil – Measurement: Interdisciplinary Research and Perspectives, 2021
Typical longitudinal growth models assume constant functional growth over time. However, there are often conditions where trajectories may not be constant over time. For example, trajectories of psychological behaviors may vary based on a participant's age, or conversely, participants may experience an intervention that causes trajectories to…
Descriptors: Growth Models, Statistical Analysis, Hierarchical Linear Modeling, Computation
Fromm, Davida; Katta, Saketh; Paccione, Mason; Hecht, Sophia; Greenhouse, Joel; MacWhinney, Brian; Schnur, Tatiana T. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Analysis of connected speech in the field of adult neurogenic communication disorders is essential for research and clinical purposes, yet time and expertise are often cited as limiting factors. The purpose of this project was to create and evaluate an automated program to score and compute the measures from the Quantitative Production…
Descriptors: Speech, Automation, Statistical Analysis, Adults
Huang, Ao; Komukai, Sho; Friede, Tim; Hattori, Satoshi – Research Synthesis Methods, 2021
Prospective registration of study protocols in clinical trial registries is a useful way to minimize the risk of publication bias in meta-analysis, and several clinical trial registries are available nowadays. However, they are mainly used as a tool for searching studies and information submitted to the registries has not been utilized as…
Descriptors: Publications, Bias, Meta Analysis, Selection