Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding…

Three experiments investigated responding consistent with transitive class containment, a feature of hierarchical classification. Experiment 1 replicated key components of a preliminary attempt to model hierarchical classification (Griffee & Dougher, 2002) and tested for responding consistent with transitive class containment. Only 2 out of 5…

A two-step procedure is proposed for detecting behavioral patterns in observational data in evaluation research. Latent class analysis is used to derive a classification of single observations at the variable level. The second step uses the probabilities that each observation falls into latent classes to derive behavioral preference scores. (SLD)

A transcript-narrative analysis technique was used to identify interpersonal negotiation strategies of two nine-year-old boys selected from a pool of children with socioemotional and interpersonal difficulties. Strategies were classified according to four developmental levels: impulsive/physical, unilateral/coercive, reciprocal/influential, and…

A theoretical model is developed for analysis of intervention effects in multiple autocorrelated time-series which may be classified or blocked two ways. The intervention effect is estimated independently for each series. The estimates are then entered as observations in two-factor analysis of variance with one observation per cell, utilizing a…

An attempt at defining and describing those factors which most often jeopardize the validity of naturalistic behavioral data is presented. A number of investigations from many laboratories which demonstrate these methodological problems are reviewed. Next, suggestions, implementations, and testing of effectiveness of various solutions to these…

Computer-assisted direct behavioral observation is proposed to aid sensory integration therapy. This allows the occupational therapist to quantify data, devise and answer research questions, and assess progress. Advice is given on establishing a behavior taxonomy. Computer-assisted direct behavioral observation is examined and found valuable for…

This paper examines interaction in a school class through the factor-analytical P-technique, considers the behavior of the factor scores in combination with certain other variables included in the interaction matrix, explores the formation of homogeneous groups of lessons in a grouping analysis based on the factor scores, and compares this latter…

Introduction: The strategies that people use to browse Websites are difficult to analyse and understand: quantitative data can lack information about what a user actually intends to do, while qualitative data tends to be localised and is impractical to gather for large samples. Method: This paper describes a novel approach that combines data from…

A DESCRIPTION IS GIVEN OF CONCEPTS, METHODS, AND A STRATEGY TO AID TRAINING OFFICERS AND OTHERS RESPONSIBLE FOR PROGRAMS OF CHANGE IN CONDUCTING EVALUATION STUDIES INVOLVING SYSTEMATIC PLANNING, CONTROL, AND ASSESSMENT OF THE PROCESS OF CHANGE. BEGINNING WITH A MODEL OF PERCEPTION AND OF ITS APPLICATION TO LEARNING, THE AUTHOR DISCUSSES A TYPOLOGY…