Introduces statistical methods for evaluating differences in patterns of time to response between two subject groups to determine better therapy. Uses data from hypothetical clinical trial to illustrate two elementary methods for analyzing survival data. Discusses generalization of methods to incorporate covariates. Concludes with general…

Contends that multivariate statistical analyses should be studied and practiced more extensively. Gives several reasons for doing multivariate analysis and discusses two common errors in statistical analysis. Presents examples of how single multivariate analysis can produce different results than do separate univariate analyses and illustrates…

Focuses on the issue of selecting the unit of analysis when employing secondary data in rural community studies and provides an empirical demonstration of the influence of selecting one unit of analysis over another. (JOW)

Discusses problems researchers face when they want to describe relationship between several predictors and criterion variable. Considers ways of addressing problem of contribution of each predictor depending on which other predictors are in regression equation. Focuses on parallel information for each variable, examining initial and final…

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…