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Nieminen, Timo A.; Choi, Serene Hyun-Jin – International Journal of Research & Method in Education, 2008
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. This can be challenging when the theoretical taxonomy does not match observational limitations, or if a theoretical taxonomy is unavailable. Binary keys allow qualitative observation to be used to modify a theoretical taxonomy to produce a practical…
Descriptors: Developmental Disabilities, Behavioral Science Research, Classification, Identification
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Teddlie, Charles; Yu, Fen – Journal of Mixed Methods Research, 2007
This article presents a discussion of mixed methods (MM) sampling techniques. MM sampling involves combining well-established qualitative and quantitative techniques in creative ways to answer research questions posed by MM research designs. Several issues germane to MM sampling are presented including the differences between probability and…
Descriptors: Sampling, Probability, Research Methodology, Research Design
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Gresham, Frank M.; And Others – Journal of Applied Behavior Analysis, 1993
A review of 158 applied behavior analysis studies with children as subjects, published in the "Journal of Applied Behavior Analysis" between 1980 and 1990, found that (1) 16% measured the accuracy of independent variable implementation, and (2) two-thirds did not operationally define components of the independent variable. Specific recommendations…
Descriptors: Behavior Modification, Behavioral Science Research, Children, Measurement Techniques
Seaberg, John J., Jr.; Ramirez, Ernest E. – 1983
This study investigates the relationship between interpersonal behaviors and leader behaviors for present and prospective leaders in business administration and educational administration. Interpersonal behavior characteristics are measured by Schutz' FIRO-B (Fundamental Interpersonal Relations Orientation--Behavior) Scales, while leader behavior…
Descriptors: Behavior Rating Scales, Behavioral Science Research, Interaction, Interpersonal Competence
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Yeager, Joseph; Sommer, Linda – Qualitative Report, 2007
Combining psycholinguistic technologies and systems analysis created advances in motivational profiling and numerous new behavioral engineering applications. These advances leapfrog many mainstream statistical research methods, producing superior research results via cause-effect language mechanisms. Entire industries explore motives ranging from…
Descriptors: Research Tools, Qualitative Research, Language Research, Systems Analysis
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Yeager, Joseph; Sommer, Linda – Qualitative Report, 2007
Selecting a statistical framework for a behavioral study has profoundly different results than does a linguistically framed research strategy. The linguistic strategy overcomes many limitations inherent in statistical strategies and offers more meaningful results. Inferential statistical studies often discuss how the findings "explain" the results…
Descriptors: Statistical Studies, Language Processing, Research Tools, Qualitative Research
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Yeager, Joseph; Sommer, Linda – Qualitative Report, 2007
Written and spoken language contains inherent mechanisms driving motivation. Accessing and modifying psycholinguistic mechanisms, links language frames to changes in behavior within the context of motivational profiling. For example, holding an object like an imported apple feels safe until one is informed it was grown in a toxic waste dump.…
Descriptors: Language Processing, Research Tools, Qualitative Research, Language Research
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Hopkins, Kenneth D. – American Educational Research Journal, 1984
In behavior research using cognitive and affective measures, there is often incongruity between the statistical analysis employed and the intended inference. This paper argues that incorporating items as levels of a random facet via generalizability theory allows the statistical examination of the inferential question in the desired universe of…
Descriptors: Affective Measures, Analysis of Variance, Behavioral Science Research, Cognitive Measurement
Robey, Randall R.; Barcikowski, Robert S. – 1986
This paper reports the results of a Monte Carlo investigation of Type I errors in the single group repeated measures design where multiple measures are collected from each observational unit at each measurement occasion. The Type I error of three multivariate tests were examined. These were the doubly multivariate F test, the multivariate mixed…
Descriptors: Analysis of Variance, Behavioral Science Research, Comparative Analysis, Hypothesis Testing