Explains basic logic of canonical analysis, illustrates that canonical analysis is general parametric analytic method subsuming other methods, and offers guidelines regarding use of this analytic approach. Concludes that canonical analysis is potent because it does not require researcher to discard variance of any variables and because it honors…

Describes and discusses how systematic formative evaluation can be applied to different types of human performance technology (HPT) interventions. Three components of evaluation are explained, six stages of formative evaluation are described, five types of formative evaluation are explained, and strategies for micro analysis of formative data on…

Extends Iachan's congruence index (1984) to cover situations when ties occur in three-letter codes (as used in Holland's vocational theory) and when only two top letters are recorded and/or used. Suggests methodologies for breaking ties and for measuring agreement between two-letter codes and includes computer algorithm for computing the index.…

Discusses family research in terms of insider/outsider perspectives, objectivity/subjectivity, and quantitative/qualitative methods. Suggests that conceptualizing research abstractions as points on a continuum results in better understanding of families and family processes. (SK)

Assesses a sample of experienced clinicians for their perceptions of the definition of forgiveness, the steps in the process, and appropriate therapeutic usage. Statistical analysis within and between groups yields clear guidelines for therapeutic and research purposes. Treatment suggestions and directions for future research are explicated.…

Meta-analysis is a methodology that can be used to summarize the results of quantitative studies and allows a researcher to evaluate how the outcomes may vary systematically. (Author)

This article discusses and illustrates the three ways by which information from a multiple response questionnaire can be analyzed, its impact on the resulting summary tables, and the implications for the interpretation of survey results. It also underscores the importance of communicating with a data analyst during the questionnaire design phase.…

This manual is designed to help researchers new to the work of transcription and coding bilingual data or for individuals who have done familiar work but have a new set of data waiting to be transcribed and coded. Describes step-by-step a way of carrying out the transcription and coding that provides many useful facilities and makes it possible to…

Describes ways of analyzing different kinds of designs using multilevel models, and considers practical issues such as the method used to allocate interventions, integrity of delivery, and cost, and how these interact with more technical issues of model specification. Two recent British intervention studies illustrate these practical issues. (SLD)

Argues that correspondence analysis is particularly well-suited to data about an individual's career, and this is illustrated by an example from educational careers. It is also shown that correspondence analysis can be used for a quantification of individual careers into one or more scores, or a classification, for further analyses. (SLD)

Describes an interactive procedure for multiobjective asymmetric unidimensional seriation problems that uses a dynamic-programming algorithm to generate partially the efficient set of sequences for small to medium-sized problems and a multioperational heuristic to estimate the efficient set for larger problems. Applies the procedure to an…

The Data Driven Mathematics Curriculum Project has produced 11 modules for use in grades 8-12. The modules integrate data analysis using real applications into the teaching of traditional mathematics topics. The data-analysis skills build connections between mathematics and other subjects and also outside the classroom. (AIM)

Introduces this special issue on multilevel models. The first two articles examine the application of multilevel modeling (MLM) in the evaluation of large-scale multi-site interventions. The next two articles focus on developmental and longitudinal data analysis, and the last two describe innovative applications of MLM. (SLD)

In this article, the author describes the ways in which a statistical consultant can help with projects. He gives advice on how to choose a statistical consultant and when to call a one. Sections in this article include: (1) Choosing a Consultant; (2) Clear Expectations; and (3) Desirable Qualities. The author directs that one should choose a…

Effects of incomplete data on fit indexes remain relatively unexplored. We evaluate a wide set of fit indexes (?[squared], root mean squared error of appproximation, Normed Fit Index [NFI], Tucker-Lewis Index, comparative fit index, gamma-hat, and McDonald's Centrality Index) varying conditions of sample size (100-1,000 in increments of 50),…