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Guo, Jinxin; Xu, Xin; Xin, Tao – Journal of Educational Measurement, 2023
Missingness due to not-reached items and omitted items has received much attention in the recent psychometric literature. Such missingness, if not handled properly, would lead to biased parameter estimation, as well as inaccurate inference of examinees, and further erode the validity of the test. This paper reviews some commonly used IRT based…
Descriptors: Psychometrics, Bias, Error of Measurement, Test Validity
Moretti, Angelo; Whitworth, Adam – Sociological Methods & Research, 2023
Spatial microsimulation encompasses a range of alternative methodological approaches for the small area estimation (SAE) of target population parameters from sample survey data down to target small areas in contexts where such data are desired but not otherwise available. Although widely used, an enduring limitation of spatial microsimulation SAE…
Descriptors: Simulation, Geometric Concepts, Computation, Measurement
Tong Wu; Stella Y. Kim; Carl Westine; Michelle Boyer – Journal of Educational Measurement, 2025
While significant attention has been given to test equating to ensure score comparability, limited research has explored equating methods for rater-mediated assessments, where human raters inherently introduce error. If not properly addressed, these errors can undermine score interchangeability and test validity. This study proposes an equating…
Descriptors: Item Response Theory, Evaluators, Error of Measurement, Test Validity
Louise Badham – Oxford Review of Education, 2025
Different sources of assessment evidence are reviewed during International Baccalaureate (IB) grade awarding to convert marks into grades and ensure fair results for students. Qualitative and quantitative evidence are analysed to determine grade boundaries, with statistical evidence weighed against examiner judgement and teachers' feedback on…
Descriptors: Advanced Placement Programs, Grading, Interrater Reliability, Evaluative Thinking
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
Alatli, Betül – International Online Journal of Education and Teaching, 2022
The aim of this study is to investigate the cross-cultural measurement invariance of the reading skills items of the PISA 2018 at test and item level. Another aim of the study is to determine the item bias for items that do not show cross-cultural measurement invariance in line with expert opinions. A survey model was used in the study. The study…
Descriptors: Cross Cultural Studies, Error of Measurement, Bias, Achievement Tests
Denis Dumas; Selcuk Acar; Kelly Berthiaume; Peter Organisciak; David Eby; Katalin Grajzel; Theadora Vlaamster; Michele Newman; Melanie Carrera – Grantee Submission, 2023
Open-ended verbal creativity assessments are commonly administered in psychological research and in educational practice to elementary-aged children. Children's responses are then typically rated by teams of judges who are trained to identify original ideas, hopefully with a degree of inter-rater agreement. Even in cases where the judges are…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
Lin, Lifeng – Research Synthesis Methods, 2019
Assessing publication bias is a critical procedure in meta-analyses for rating the synthesized overall evidence. Because statistical tests for publication bias are usually not powerful and only give "P" values that inform either the presence or absence of the bias, examining the asymmetry of funnel plots has been popular to investigate…
Descriptors: Meta Analysis, Sample Size, Graphs, Bias
Lu, Rui; Keller, Bryan Sean – AERA Online Paper Repository, 2019
When estimating an average treatment effect with observational data, it's possible to get an unbiased estimate of the causal effect if all confounding variables are observed and reliably measured. In education, confounding variables are often latent constructs. Covariate selection methods used in causal inference applications assume that all…
Descriptors: Factor Analysis, Predictor Variables, Monte Carlo Methods, Comparative Analysis
Esarey, Justin; Valdes, Natalie – Assessment & Evaluation in Higher Education, 2020
Scholarly debate about student evaluations of teaching (SETs) often focuses on whether SETs are valid, reliable and unbiased. In this article, we assume the most optimistic conditions for SETs that are supported by the empirical literature. Specifically, we assume that SETs are moderately correlated with teaching quality (student learning and…
Descriptors: Student Evaluation of Teacher Performance, Bias, Reliability, Validity
Hong, Sanghyun; Reed, W. Robert – Research Synthesis Methods, 2021
The purpose of this study is to show how Monte Carlo analysis of meta-analytic estimators can be used to select estimators for specific research situations. Our analysis conducts 1620 individual experiments, where each experiment is defined by a unique combination of sample size, effect size, effect size heterogeneity, publication selection…
Descriptors: Monte Carlo Methods, Meta Analysis, Research Methodology, Experiments
Fiel, Jeremy E. – Sociology of Education, 2020
A long-standing consensus among sociologists holds that educational attainment has an equalizing effect that increases mobility by moderating other avenues of intergenerational status transmission. This study argues that the evidence supporting this consensus may be distorted by two problems: measurement error in parents' socioeconomic standing…
Descriptors: Educational Attainment, Social Mobility, Family Income, Longitudinal Studies
Keusch, Florian; Leonard, Mariel M.; Sajons, Christoph; Steiner, Susan – Sociological Methods & Research, 2021
Researchers attempting to survey refugees over time face methodological issues because of the transient nature of the target population. In this article, we examine whether applying smartphone technology could alleviate these issues. We interviewed 529 refugees and afterward invited them to four follow-up mobile web surveys and to install a…
Descriptors: Handheld Devices, Telecommunications, Ownership, Computer Software
Torche, Florencia; Corvalan, Alejandro – Sociological Methods & Research, 2018
This article distinguishes three measures of intergenerational economic mobility that emerge when the population is divided into groups: overall individual mobility, within-group mobility, and between-group mobility. We clarify their properties and the relationship between them. We then evaluate Clark's use of surname between-group persistence as…
Descriptors: Social Mobility, Computation, Generational Differences, Persistence
Kane, Michael T. – ETS Research Report Series, 2017
By aggregating residual gain scores (the differences between each student's current score and a predicted score based on prior performance) for a school or a teacher, value-added models (VAMs) can be used to generate estimates of school or teacher effects. It is known that random errors in the prior scores will introduce bias into predictions of…
Descriptors: Error of Measurement, Value Added Models, Scores, Teacher Effectiveness