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Jasso, Guillermina – Sociological Methods & Research, 2021
Inequality often appears in linked pairs of variables. Examples include schooling and income, income and consumption, and wealth and happiness. Consider the famous words of Veblen: "wealth confers honor." Understanding inequality requires understanding input inequality, outcome inequality, and the relation between the two--in both…
Descriptors: Input Output Analysis, Justice, Research Methodology, Social Science Research
Sinharay, Sandip – Grantee Submission, 2021
Drasgow, Levine, and Zickar (1996) suggested a statistic based on the Neyman-Pearson lemma (e.g., Lehmann & Romano, 2005, p. 60) for detecting preknowledge on a known set of items. The statistic is a special case of the optimal appropriateness indices of Levine and Drasgow (1988) and is the most powerful statistic for detecting item…
Descriptors: Robustness (Statistics), Hypothesis Testing, Statistics, Test Items
Lauren Kennedy; Andrew Gelman – Grantee Submission, 2021
Psychology research often focuses on interactions, and this has deep implications for inference from non-representative samples. For the goal of estimating average treatment effects, we propose to fit a model allowing treatment to interact with background variables and then average over the distribution of these variables in the population. This…
Descriptors: Models, Generalization, Psychological Studies, Computation
Ebba Koerfer; Bor Gregorcic – Physical Review Physics Education Research, 2024
Statistical mechanics has received limited attention in physics education research and remains a relatively underrepresented topic even in research on upper-division physics courses. The purpose of this study was to explore potential challenges that physics students encounter when they solve statistical mechanics problems in groups. Adopting a…
Descriptors: Physics, Science Instruction, Mechanics (Physics), Barriers
Eleni Tomai; Margarita Kokla; Christos Charcharos; Marinos Kavouras – Journal of Geography in Higher Education, 2024
Small-scale spatial abilities that involve the mental representation and transformation of two- and three-dimensional images and manipulation of objects at table-top have been studied extensively and are considered predictive of both interest and success in STEM disciplines. However, research investigating the relation of large-scale spatial…
Descriptors: Spatial Ability, STEM Education, Individual Differences, Expertise
John Jerrim; Alex Jones – School Effectiveness and School Improvement, 2024
School inspections are a common feature of many education systems. These may be informed by quantitative background data about schools. It is recognised that there are pros and cons of using such quantitative information as part of the inspection process, though these have rarely been succinctly set out. This paper seeks to fill this gap by…
Descriptors: Inspection, Foreign Countries, Statistical Analysis, Educational Quality
En Xie; Shaw-chiang Wong; Ying Bai – Journal of Autism and Developmental Disorders, 2024
Psychology originally defined parent-child conflict in terms of interpersonal relationships, where parent-child conflict is a process of inconsistent attitudes between parents and children that occurs in a family setting. For this end, we aims to investigate the influence of parental awareness on preschoolers' perception of parent-child conflict…
Descriptors: Computer Software, Computer Simulation, Parent Child Relationship, Cooperation
Alan J. Marsh; Lynne Fernie – Scottish Educational Review, 2025
There was a fundamental reform of special educational needs policy in Scotland with the ratification of the 2004 Education (Additional Support for Learning) (ASL) (Scotland) Act. This paper explores official statistics from 2008-2023 by examining variations in additional support needs (ASN) and funding across the 32 Local Authorities (LAs). The…
Descriptors: Foreign Countries, Special Education, Educational Change, Special Needs Students
Opic, Siniša – Cypriot Journal of Educational Sciences, 2020
Regression is one of the dominant analysis methods used in the social sciences and educational sciences. There are different regression methods based on the type of research that is being conducted. The probit and logit regression models are regression methods which are being used recently by most researchers. However, their interpretations are…
Descriptors: Regression (Statistics), Statistical Analysis, Differences, Educational Research
Olvera Astivia, Oscar Lorenzo; Kroc, Edward; Zumbo, Bruno D. – Educational and Psychological Measurement, 2020
Simulations concerning the distributional assumptions of coefficient alpha are contradictory. To provide a more principled theoretical framework, this article relies on the Fréchet-Hoeffding bounds, in order to showcase that the distribution of the items play a role on the estimation of correlations and covariances. More specifically, these bounds…
Descriptors: Test Items, Test Reliability, Computation, Correlation
Sullivan, Amanda L.; Weeks, Mollie R.; Kulkarni, Tara; Nguyen, Thuy – Communique, 2020
Large-scale analyses are a powerful and increasingly common tool for investigating a range of public health and social concerns (Pienta, O'Rourke, & Franks, 2011). This series will provide a primer on large-scale secondary analysis in school psychology, with this article focusing on considerations for researchers interested in applying and…
Descriptors: Data Analysis, School Psychology, Research Problems, Research Utilization
AlWahaibi, Ibrahim Said Humaid; AlHadabi, Dawood Abdul Malik Yahya AlHadabi; AlKharusi, Hussain Ali Talib – Cypriot Journal of Educational Sciences, 2020
The present study aimed at clarifying the various shortcomings of the Cohen's criteria for the interpretation of the values of the practical significance indicators. The hypothetical data were used for two experimental and control groups and calculating the paired-samples t-test. To clarify the inadequacy of Cohen's criteria in interpreting…
Descriptors: Statistical Analysis, Statistical Significance, Equations (Mathematics), Computation
Xue, Linting; Lynch, Collin F. – International Educational Data Mining Society, 2020
In order to effectively grade persuasive writing we must be able to reliably identify and extract extract argument structures. In order to do this we must classify arguments by their structural roles (e.g., major claim, claim, and premise). Current approaches to classification typically rely on statistical models with heavy feature-engineering or…
Descriptors: Persuasive Discourse, Classification, Artificial Intelligence, Statistical Analysis
Warne, Russell T. – Journal of Advanced Academics, 2022
Recently, Picho-Kiroga (2021) published a meta-analysis on the effect of stereotype threat on females. Their conclusion was that the average effect size for stereotype threat studies was d = .28, but that effects are overstated because the majority of studies on stereotype threat in females include methodological characteristics that inflate the…
Descriptors: Sex Stereotypes, Females, Meta Analysis, Effect Size
Allen, Peter J.; Fielding, Jessica L.; Westermann, Annabel H.; Lafratta, Amelia M. – Teaching of Psychology, 2022
Background: Allen, Fielding, East, et al. demonstrated experimentally that structural awareness, or the ability to disregard a research problem's topic and instead focus on its structural features, can be trained using StatHand (https://stathand.net). Most training benefits persisted for 1 week. Objective: The objective was to assess the…
Descriptors: Statistical Analysis, Statistics Education, Instructional Effectiveness, Selection