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Pustejovsky, James E.; Swan, Daniel M.; English, Kyle W. – Grantee Submission, 2019
There has been growing interest in using statistical methods to analyze data and estimate effect size indices from studies that use single-case designs (SCDs), as a complement to traditional visual inspection methods. The validity of a statistical method rests on whether its assumptions are plausible representations of the process by which the…
Descriptors: Measurement Techniques, Statistical Analysis, Data, Outcome Measures
Gage, Nicholas A.; Stevens, Robert N. – Education and Treatment of Children, 2018
Science is being criticized within scientific domains and society. To address this, we suggest that researchers in special education, broadly, and those working in the behavioral disorders field, specifically, consider three critical facets of research: (a) importance of rigor, (b) value of replication, and (c) transparency of reproducibility in…
Descriptors: Behavior Disorders, Research Methodology, Behavioral Science Research, Quasiexperimental Design
Pustejovsky, James E.; Runyon, Christopher – Behavioral Disorders, 2014
Direct observation recording procedures produce reductive summary measurements of an underlying stream of behavior. Previous methodological studies of these recording procedures have employed simulation methods for generating random behavior streams, many of which amount to special cases of a statistical model known as the alternating renewal…
Descriptors: Observation, Behavioral Science Research, Models, Simulation
McCreery, Michael P. – Intervention in School and Clinic, 2016
With the limited success of social skills training on particularly disruptive behaviors, researchers have begun to develop a more holistic approach grounded in "temperament" research that focuses on supporting underlying traits as they emerge during development. Based on this approach, this column provides a theoretical basis and…
Descriptors: Classroom Environment, Teacher Student Relationship, Holistic Approach, Personality
Raykov, Tenko; Lichtenberg, Peter A.; Paulson, Daniel – Structural Equation Modeling: A Multidisciplinary Journal, 2012
A multiple testing procedure for examining implications of the missing completely at random (MCAR) mechanism in incomplete data sets is discussed. The approach uses the false discovery rate concept and is concerned with testing group differences on a set of variables. The method can be used for ascertaining violations of MCAR and disproving this…
Descriptors: Data, Data Analysis, Older Adults, Intelligence Tests
Castro-Schilo, Laura; Ferrer, Emilio – Multivariate Behavioral Research, 2013
We illustrate the idiographic/nomothetic debate by comparing 3 approaches to using daily self-report data on affect for predicting relationship quality and breakup. The 3 approaches included (a) the first day in the series of daily data; (b) the mean and variability of the daily series; and (c) parameters from dynamic factor analysis, a…
Descriptors: Factor Analysis, Prediction, Group Behavior, Collectivism
Hannagan, Rebecca J.; Schneider, Monica C.; Greenlee, Jill S. – PS: Political Science and Politics, 2012
Within the subfields of political psychology and the study of gender, the introduction of new data collection efforts, methodologies, and theoretical approaches are transforming our understandings of these two fields and the places at which they intersect. In this article we present an overview of the research that was presented at a National…
Descriptors: Political Attitudes, Political Science, Psychology, Educational Environment
Barton, Erin E.; Reichow, Brian; Wolery, Mark – Journal of Early Intervention, 2007
Graphs are vital components for analyzing data in the experimental analysis of behavior using single subject research methods. This paper extends the previous literature on the construction of single subject graphs by providing instructions for using Microsoft[R] Power Point[TM] and Microsoft[R] PowerPoint for Mac[R], and describes improved…
Descriptors: Research Methodology, Graphs, Computer Software, Data Analysis
Zijlstra, Wobbe P.; Van Der Ark, L. Andries; Sijtsma, Klaas – Multivariate Behavioral Research, 2007
Classical methods for detecting outliers deal with continuous variables. These methods are not readily applicable to categorical data, such as incorrect/correct scores (0/1) and ordered rating scale scores (e.g., 0,..., 4) typical of multi-item tests and questionnaires. This study proposes two definitions of outlier scores suited for categorical…
Descriptors: Rating Scales, Scores, Regression (Statistics), Statistical Analysis