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de Winter, J. C. F.; Dodou, D.; Wieringa, P. A. – Multivariate Behavioral Research, 2009
Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…
Descriptors: Sample Size, Factor Analysis, Enrollment, Evaluation Methods
Hallfors, Denise; Cho, Hyunsan – International Journal of Behavioral Consultation and Therapy, 2007
The gap between scientific knowledge and real world practice continues to be a major conundrum for the behavioral sciences. This paper briefly reviews the development of behavioral research and describes problems that have arisen in meeting the goal of improving behavioral interventions through science. Based on published literature and personal…
Descriptors: Research Methodology, Validity, Behavioral Sciences, Behavioral Science Research
Parker, Richard I.; Hagan-Burke, Shanna – Behavior Therapy, 2007
An obstacle to broader acceptability of effect sizes in single case research is their lack of intuitive and useful interpretations. Interpreting Cohen's d as "standard deviation units difference" and R[superscript 2] as "percent of variance accounted for" do not resound with most visual analysts. In fact, the only comparative analysis widely…
Descriptors: Meta Analysis, Effect Size, Comparative Analysis, Behavioral Sciences
Ray, William S.; Kendall, Philip C.
The relationship between treatment levels and errors of estimate for a dependent variable in a behavioral science research experiment is typically evaluated by an analysis of covariance. The same relation can be expressed by part correlation. In non-experimental research with individual-difference variables, an assumption regarding independence,…
Descriptors: Analysis of Covariance, Behavioral Science Research, Correlation, Experiments

Forsyth, Robert A. – Educational and Psychological Measurement, 1971
Descriptors: Behavioral Science Research, Correlation, Error of Measurement, Hypothesis Testing
Simon, Charles W. – 1978
This document discusses and critically reviews problems existing with utilizing traditional experimental methods in psychology, particularly engineering psychology. Experimental and correlational data collection methods are defined and compared. Arguments are presented for merging the more productive features of each. The combined approach is…
Descriptors: Behavioral Science Research, Correlation, Experimental Psychology, Psychology

Jones, Sandra J.; Moss, Howard A. – Child Development, 1971
The relation between maternal presence and infant's vocalization depended upon the infant's state: when the infant was in the active awake state, he vocalized less in the presence of the mother than when alone, thus indicating that the majority of early vocalizations are associated with a non-social situation. (Authors/RY)
Descriptors: Behavioral Science Research, Correlation, Data Analysis, Environmental Influences
Mills, Jamie, D.; Olejnik, Stephen, F.; Marcoulides, George, A. – Multivariate Behavioral Research, 2005
The effectiveness of the Tabu variable selection algorithm, to identify predictor variables related to a criterion variable, is compared with the stepwise variable selection method and the all possible regression approach. Considering results obtained from previous research, Tabu is more successful in identifying relevant variables than the…
Descriptors: Predictor Variables, Multiple Regression Analysis, Behavioral Science Research, Evaluation Criteria

Zwick, William R.; Velicer, Wayne F. – 1984
A common problem in the behavioral sciences is to determine if a set of observed variables can be more parsimoniously represented by a smaller set of derived variables. To address this problem, the performance of five methods for determining the number of components to retain (Horn's parallel analysis, Velicer's Minimum Average Partial (MAP),…
Descriptors: Behavioral Science Research, Comparative Analysis, Correlation, Data Interpretation

Allwood, Carl Martin – Cognitive Science: A Multidisciplinary Journal of Artificial Intelligence, Psychology and Language, 1984
Describes a study which analyzed problem solvers' error detection processes by instructing subjects to think aloud when solving statistical problems. Effects of evaluative episodes on error detection, detection of different error types, error detection processes per se, and relationship of error detection behavior to problem-solving proficiency…
Descriptors: Behavioral Science Research, Cognitive Style, Correlation, Error Patterns
Sirotnik, Kenneth A. – 1980
Two analytic models, each with different implications for data analysis, have been used in behavioral science research for assessing attitudinal congruency. The term relative congruence applies to the family of agreement indices which, although functions of the absolute index, are formulated relative to chance expectations. The term absolute…
Descriptors: Affective Measures, Attitude Measures, Behavioral Science Research, Comparative Analysis
Cassel, Russell N. – 1971
This paper relates educational and psychological statistics to certain "Research Statistical Tools" (RSTs) necessary to accomplish and understand general research in the behavioral sciences. Emphasis is placed on acquiring an effective understanding of the RSTs and to this end they are are ordered to a continuum scale in terms of individual…
Descriptors: Analysis of Covariance, Analysis of Variance, Behavioral Science Research, Correlation

Mullen, Brian; And Others – Journal of Social Psychology, 1991
Summarizes research comparing boundaries around larger and smaller groups. Finds that the perception of group boundary permatbility varies with group size. Reports a greater perceived distinction between the group and the individual passerby as group size increases. Describes the effects of varying group member proximity. Discusses implications…
Descriptors: Behavioral Science Research, Correlation, Group Dynamics, Group Structure
Thompson, Bruce – 1994
The present paper suggests that multivariate methods ought to be used more frequently in behavioral research and explores the potential consequences of failing to use multivariate methods when these methods are appropriate. The paper explores in detail two reasons why multivariate methods are usually vital. The first is that they limit the…
Descriptors: Analysis of Covariance, Behavioral Science Research, Causal Models, Correlation
Sirotnik, Kenneth A. – 1979
This report contains accounts of studies, about scales to be used in the "A Study of Schooling" research project, undertaken to derive indices for constructs presumed to be measureable by composites of items. The report is introduced by a discussion on the rationale for selecting the research methodology used and an explanation of the…
Descriptors: Behavioral Science Research, Cluster Analysis, Cluster Grouping, Correlation
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