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Oliver Lüdtke; Alexander Robitzsch – Journal of Experimental Education, 2025
There is a longstanding debate on whether the analysis of covariance (ANCOVA) or the change score approach is more appropriate when analyzing non-experimental longitudinal data. In this article, we use a structural modeling perspective to clarify that the ANCOVA approach is based on the assumption that all relevant covariates are measured (i.e.,…
Descriptors: Statistical Analysis, Longitudinal Studies, Error of Measurement, Hierarchical Linear Modeling
Yajuan Si; Roderick J. A. Little; Ya Mo; Nell Sedransk – Journal of Educational and Behavioral Statistics, 2023
Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply these steps to the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011. A key step is the construction of indices of nonresponse bias based on proxy…
Descriptors: Educational Assessment, Response Rates (Questionnaires), Bias, Children
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Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2022
This article develops new closed-form variance expressions for power analyses for commonly used difference-in-differences (DID) and comparative interrupted time series (CITS) panel data estimators. The main contribution is to incorporate variation in treatment timing into the analysis. The power formulas also account for other key design features…
Descriptors: Comparative Analysis, Statistical Analysis, Sample Size, Measurement Techniques
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Wodtke, Geoffrey T. – Sociological Methods & Research, 2020
Social scientists are often interested in estimating the marginal effects of a time-varying treatment on an end-of-study continuous outcome. With observational data, estimating these effects is complicated by the presence of time-varying confounders affected by prior treatments, which may lead to bias in conventional regression and matching…
Descriptors: Regression (Statistics), Computation, Statistical Analysis, Statistical Bias
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Hancock, Gregory R.; Johnson, Tessa – AERA Online Paper Repository, 2018
Longitudinal models provide researchers with a framework for investigating key aspects of change over time, but rarely is "time" itself modeled as a focal parameter of interest. Rather than treat time as purely an index of measurement occasions, the proposed Time to Criterion (T2C) growth model allows for modeling individual variability…
Descriptors: Statistical Analysis, Longitudinal Studies, Time, Structural Equation Models
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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
The nine appendices in this publication accompany the full report, "High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection. Data File Documentation. NCES 2020-004" (ED607366). They include: (1) Glossary of Terms; (2) Student Financial Aid Records Instrument…
Descriptors: Longitudinal Studies, High School Students, Data Collection, Academic Records
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Harring, Jeffrey R.; Johnson, Tessa L. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module…
Descriptors: Educational Assessment, Data Analysis, Longitudinal Studies, Case Studies
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Kupzyk, Kevin A.; Beal, Sarah J. – Journal of Early Adolescence, 2017
In order to investigate causality in situations where random assignment is not possible, propensity scores can be used in regression adjustment, stratification, inverse-probability treatment weighting, or matching. The basic concepts behind propensity scores have been extensively described. When data are longitudinal or missing, the estimation and…
Descriptors: Probability, Longitudinal Studies, Data, Computation
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Ramirez, Nestor Alexis; Lacy, Austin; Duprey, Michael; Jones, Anthony – New Directions for Institutional Research, 2019
The resources needed to conduct high-quality and large-scale survey research are often beyond the reach of institutional researchers and higher education analysts. However, the National Center for Education Statistics (NCES) provides many national student surveys that researchers can utilize. We outline four NCES studies--the High School…
Descriptors: College Students, Student Financial Aid, National Surveys, Student Surveys
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Hancock, Gregory R.; Schoonen, Rob – Language Learning, 2015
Although classical statistical techniques have been a valuable tool in second language (L2) research, L2 research questions have started to grow beyond those techniques' capabilities, and indeed are often limited by them. Questions about how complex constructs relate to each other or to constituent subskills, about longitudinal development in…
Descriptors: Structural Equation Models, Language Research, Second Language Learning, Statistical Analysis
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Barbot, Baptiste; Perchec, Cyrille – New Directions for Child and Adolescent Development, 2015
This article provides an introduction to the idiographic approach ("N = 1" research) in developmental psychology and an overview of methodological and statistical techniques employed to address the study of within-individual variability in development. Through a popularization of the idiographic approach and associated statistical…
Descriptors: Developmental Psychology, Individual Development, Ideography, Research Methodology
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Mertens, Steven B.; Caskey, Micki M.; Flowers, Nancy – Middle Grades Review, 2016
This essay describes and discusses the ongoing need for large-scale, longitudinal, empirical research studies focused on middle grades education. After a statement of the problem and concerns, the essay describes and critiques several prior middle grades efforts and research studies. Recommendations for future research efforts to inform policy…
Descriptors: Middle Schools, Educational Research, Research Methodology, Longitudinal Studies
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Gyurko, Jonathan; Snow, Meghan – Change: The Magazine of Higher Learning, 2020
Recent events demonstrate the need for better pedagogical preparation, particularly for online instruction. There has been a sudden burst of professional development nationwide in light of the glaring need. But across higher education more broadly, questions still persist: Isn't teaching more art than science? Will faculty learn about and…
Descriptors: Online Courses, Educational Change, Teaching Methods, Higher Education
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Hobbs, Graham – Oxford Review of Education, 2016
There are large social class inequalities in educational achievement in the UK. This paper quantifies the contribution of one mechanism to the production of these inequalities: social class differences in school "effectiveness," where "effectiveness" refers to a school's impact on pupils' educational achievement (relative to…
Descriptors: Social Class, Social Differences, Academic Achievement, Foreign Countries
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Newman, David; Newman, Isadore; Hitchcock, John H. – International Journal of Adult Vocational Education and Technology, 2016
The purpose of this article is to inform researchers about and encourage the use of longitudinal designs to further understanding of human resource development and organizational theory. This article presents information about a variety of longitudinal research designs, related statistical procedures, and an overview of general data collecting…
Descriptors: Longitudinal Studies, Organizational Theories, Labor Force Development, Research Design
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