Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…

We examined articles in the "Journal of Applied Behavior Analysis" in which results of functional analyses indicated that problem behavior was maintained by multiple sources of reinforcement. Data for 88 (16.9%) of 521 subjects reported in 168 studies met the criteria for multiple control. Data for 11 subjects (2.1%) involved a single response…

Using published findings and by further analyses of existing data, the structure, validity and utility of the Academic Behavioural Confidence scale (ABC) is critically considered. Validity is primarily assessed through the scale's relationship with other existing scales as well as by looking for predicted differences. The utility of the ABC scale…

This article proposes a multilevel modeling approach to study the general and specific attitudes formed in human learning behavior. Based on the premises of activity theory, it conceptualizes the unit of analysis for attitude measurement as a scalable and evolving activity system rather than a single action. Measurement issues related to this…

This paper presents selected findings from an ESRC-funded research project examining the choices and occupational aspirations of 59 students approaching the end of their compulsory schooling. It concentrates on the development of a choice model conceptualising the decisionmaking processes of the young people involved in the study, whilst avoiding…

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…

This commentary focuses on the application of D. Rogosa and G. Ghandour's work to observational research on classroom processes. Rogosa and Ghandour have shown that the short length of an observation is typically the dominant source of error. Investigators should conduct observations for as long as possible. (SLD)

The monograph by D. Rogosa and G. Ghandour represents a body of cohesive and comprehensive research that can be the basis of a new measurement theory combining features of generalizability theory and strong true-score theory. Principles, approaches, arguments, and conclusions are reviewed; and critical comments are offered. (SLD)

Issues raised with the statistical models developed are discussed point by point, restating the emphasis on finite observation time, and reiterating the criticism of traditional psychometric methods. It is noted that the language and technical formulation of psychometrics can be extremely awkward in dealing with biased estimates. (SLD)

Natural statistical models based on renewal processes for individuals' Behavior Stream are developed. For continuous observation, statistical and psychometric properties are obtained for empirical: (1) rates of behavior; (2) proportions of behavior type; (3) prevalence; and (4) event duration. Results provide a guide for design and analysis. (SLD)