The authors use examples to illustrate how the design of a study conveys the overall strategy and soundness of the investigation. Elements of research design that are discussed include setting, subjects, sample, treatment, measurement, and communication of results. (CT)

Discusses the purpose of research on library issues and problems and the use of the scientific method in a library context. Four research methodologies are described as well as measurement scales and research techniques. (BK)

Describes the design, execution, and reporting of a fictitious library research project conducted by a children's librarian in the future. Problems in gaining support, in designing the study, and in presenting the results effectively are highlighted, and possible solutions are presented. (BK)

The recently developed log-linear model technique for the analysis of contingency tables has many potential applications within educational research. This paper describes the two major models, log-linear and logit-linear, that are employed under this approach. (Author/JKS)

Describes an index for the evaluation of a media product. A pretest measure of an aspect of the product is taken, the audience is exposed to the product, a posttest measure is taken, and the index is computed as a ratio of the difference scores to the total change possible. (MER)

Multiple comparisons involve the examination of which group or groups are actually different from other group(s) in analysis of variance results. Such comparisons usually involve one-way analysis of variance. This monograph discusses designs more complex than one-way designs. (JKS)

Valid statistical tests for one-subject experiments are necessary to justify statistical inferences and to ensure the acceptability of research reports to a wide range of journals and readers. The validity of randomization tests for one-subject experiments is examined. (See TM 505 800-801).(Author/JKS)

Two types of problems supposedly associated with the use of randomization tests for single-subject experiments have been discussed: the random introduction of treatments and the repeated alternation of treatments. Ways to reduce the adverse effects associated with these problems are presented. (See TM 505 799-800). (Author/JKS) (Author/JKS)

The authors describe some of the applications of time-series, its advantages in applied work, and methodological issues of concern to researchers. (Author/SJL)

Provides a condensed description of the criteria and choices for selecting a particular assessment, evaluation, or research design. Strengths and weaknesses of each design are presented. (Author/JEG)

A number of measurement and design issues that are critical to the use of multiple baseline procedures in evaluating instructional interventions with mentally retarded persons are highlighted. (For related information, see EC 122 157.) (Author/CL)

A computer analysis for a split plot design with unequal number of subjects in treatment groups is described. The technique presented is based on the Statistical Package for the Social Sciences (SPSS). An example is worked out, and full documentation is presented. (Author/JKS)

G analysis is a data analytic method based on the G index of agreement. A generalized technique for the rotation of factors in G analysis in which marker variables are brought into alignment with their adjoining reference axis is presented. (Author/JKS)

Stochastic approximation is suggested as a useful technique in areas where individuals have a goal firmly in mind, but lack sufficient knowledge to design an efficient, more traditional experiment. One potential area of application for stochastic approximation is that of formative evaluation. (CTM)

The Combined Modified Design is presented to overcome problems of internal and external validity in the conduct of true experiments in longitudinal studies. It combines a modified version of the Randomized Invitation Design with the lottery longitudinal experimental field trial situation. (SLD)