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Cominole, Melissa; Ritchie, Nichole Smith; Cooney, Jennifer – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2008/18 Baccalaureate and Beyond Longitudinal Study (B&B:08/18). The B&B graduates, who completed the requirements for a bachelor's degree during the 2007-08 academic year, were first surveyed as part of the 2008 National Postsecondary Student Aid Study (NPSAS:08), and then…
Descriptors: Bachelors Degrees, College Graduates, Longitudinal Studies, Data Collection
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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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Vaisey, Stephen; Miles, Andrew – Sociological Methods & Research, 2017
The recent change in the general social survey (GSS) to a rotating panel design is a landmark development for social scientists. Sociological methodologists have argued that fixed-effects (FE) models are generally the best starting point for analyzing panel data because they allow analysts to control for unobserved time-constant heterogeneity. We…
Descriptors: Surveys, Data, Statistical Analysis, Models
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Singer, Judith D. – Journal of Research on Educational Effectiveness, 2019
The arc of quantitative educational research should not be etched in stone but should adapt and change over time. In this article, I argue that it is time for a reshaping by offering my personal view of the past, present and future of our field. Educational research--and research in the social and life sciences--is at a crossroads. There are many…
Descriptors: Educational Research, Research Methodology, Longitudinal Studies, Evaluation
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Nicholson, Jody S.; Deboeck, Pascal R.; Howard, Waylon – International Journal of Behavioral Development, 2017
Inherent in applied developmental sciences is the threat to validity and generalizability due to missing data as a result of participant drop-out. The current paper provides an overview of how attrition should be reported, which tests can examine the potential of bias due to attrition (e.g., t-tests, logistic regression, Little's MCAR test,…
Descriptors: Attrition (Research Studies), Developmental Psychology, Psychological Studies, Statistical Analysis
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Robert Meyer; Tracy Diel; Rinor Jahiu; Hayley Tymeson – Society for Research on Educational Effectiveness, 2023
Background: This paper considers a new policy and statistical framework for evaluating K-12 schools and policies that aligns with diversity, equity, and inclusion values. The new approach broadens the standard approach to accountability and evaluation by combining features of evaluation and multi-level growth models with approaches used in systems…
Descriptors: Accountability, Inclusion, Diversity, Equal Education
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Peugh, James L.; Heck, Ronald H. – Journal of Early Adolescence, 2017
Researchers in the field of early adolescence interested in quantifying the environmental influences on a response variable of interest over time would use cluster sampling (i.e., obtaining repeated measures from students nested within classrooms and/or schools) to obtain the needed sample size. The resulting longitudinal data would be nested at…
Descriptors: Longitudinal Studies, Early Adolescents, Hierarchical Linear Modeling, Sampling
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Chaney, Bradford – American Journal of Evaluation, 2016
The primary technique that many researchers use to analyze data from randomized control trials (RCTs)--detecting the average treatment effect (ATE)--imposes assumptions upon the data that often are not correct. Both theory and past research suggest that treatments may have significant impacts on subgroups even when showing no overall effect.…
Descriptors: Randomized Controlled Trials, Data Analysis, Outcomes of Treatment, Simulation
Meyer, Helen – Education Sciences, 2018
In this paper, I share the results of a study of teachers' ideas about student decision-making at entry into a professional development program to integrate engineering into their instruction. The framework for the Engineering Design Process (EDP) was based on a Challenge-Based Learning (CBL) model. The EDP embedded within the CBL model suggests…
Descriptors: Teacher Attitudes, Decision Making, Decision Making Skills, Engineering Education
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Brahm, Taiga; Jenert, Tobias; Wagner, Dietrich – Higher Education: The International Journal of Higher Education Research, 2017
In Switzerland, every student graduating from grammar school can begin to study at a university. This leads to high dropout rates. Although students' motivation is considered a strong predictor of performance, the development of motivation during students' transition from high school to university has rarely been investigated. Additionally, little…
Descriptors: Longitudinal Studies, Business Schools, Foreign Countries, Student Motivation
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Gerde, Hope K.; Pierce, Steven J.; Lee, Kyungsook; Van Egeren, Laurie A. – Early Education and Development, 2018
Research Findings: Quality early science education is important for addressing the low science achievement, compared to international peers, of elementary students in the United States. Teachers' beliefs about their skills in a content area, that is, their content self-efficacy is important because it has implications for teaching practice and…
Descriptors: Early Childhood Education, Preschool Teachers, Self Efficacy, Science Instruction
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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
Shanshan Wang; Carrie Biales; Ying Guo; Allison Breit-Smith – Sage Research Methods Cases, 2017
This case study uses structural equation modeling to examine the predictive validity of the Read Aloud Profile-Together, a measure of the distinct behaviors of parents and children during shared book reading, in relation to preschool children's early reading competency. Using secondary data analysis, this case study includes 800 parent-child pairs…
Descriptors: Predictive Validity, Preschool Children, Books, Reading Skills
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Okilwa, Nathern; Barnett, Bruce – Journal of Educational Administration, 2017
Purpose: The purpose of this paper is to examine how Robbins ES has sustained high academic performance over almost 20 years despite several changes in principals. Design/methodology/approach: The paper analyzed longitudinal data based on: state-level academic and demographic data; two earlier studies of the school; and recent interviews with…
Descriptors: Longitudinal Studies, Elementary Schools, Disadvantaged Schools, Urban Schools
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Rhemtulla, Mijke; Jia, Fan; Wu, Wei; Little, Todd D. – International Journal of Behavioral Development, 2014
We examine the performance of planned missing (PM) designs for correlated latent growth curve models. Using simulated data from a model where latent growth curves are fitted to two constructs over five time points, we apply three kinds of planned missingness. The first is item-level planned missingness using a three-form design at each wave such…
Descriptors: Data Analysis, Error of Measurement, Models, Longitudinal Studies
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