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Ferguson, Sarah L.; Moore, E. Whitney G.; Hull, Darrell M. – International Journal of Behavioral Development, 2020
The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable modeling but not LPA specifically. A general procedure for conducting LPA is provided in six steps: (a) data inspection, (b) iterative evaluation of models,…
Descriptors: Statistical Analysis, Computer Software, Data Analysis, Goodness of Fit
Brodersen, R. Marc; Gagnon, Douglas; Liu, Jing; Moss, Tony – Regional Educational Laboratory Central, 2021
This tool is intended to support state and local education agencies in developing a statistical model for estimating student postsecondary success at the school or district level. The tool guides education agency researchers, analysts, and decisionmakers through options to consider when developing their own model. The resulting model generates an…
Descriptors: Statistical Analysis, Models, Computation, Success
Harris, Heather; Horst, S. Jeanne – Practical Assessment, Research & Evaluation, 2016
Propensity score matching techniques are becoming increasingly common as they afford applied practitioners the ability to account for systematic bias related to self-selection. However, "best practices" for implementing these techniques in applied settings is scattered throughout the literature. The current article aims to provide a…
Descriptors: Statistical Analysis, Statistical Bias, Computation, Statistical Inference
Ripstra, Constance C.; And Others – 1976
This speech presents the use of experimental designs and research procedures to help counselors develop effective treatment methods for clients. Baseline and treatment phases are delineated as the two basic phases occuring in most "N=1" designs. These designs are divided into the categories of single and multiple time series designs. The…
Descriptors: Behavior Change, Behavior Patterns, Case Studies, Change Strategies
Horst, Donald P.; And Others – 1975
Measuring cognitive achievement gains in project evaluation is dealt with. This guide provides those concerned with project evaluation with the basic tools for conducting technically sound, interpretable evaluation studies. Exotic designs are avoided and five basic models which appear feasible to implement in real-world settings are focused on.…
Descriptors: Academic Achievement, Achievement Gains, Cognitive Development, Data Analysis