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)

Two broad classes of mixed-method designs--component and integrated--that have the potential to combine elements of different inquiry traditions are described. The conceptual ideas advanced in the first chapter are illustrated through selected examples of several mixed-method integrated models. (Author/SLD)

A pragmatic framework for making decisions about mixed-method designs is proposed and then applied to illustrative evaluation case studies to help identify the strengths and limitations of making practical, contextual, and consequential considerations a primary basis for evaluation design decisions. (Author)

Discusses ethical issues involved with person-based research. Discusses the ethical discourse embodied in the "Nuremberg Code," federal regulations, and the "Belmont Report." Discusses several specific issues in research ethics to illustrate how this discourse provides new ways of thinking about what must be done to treat…

Steps for conducting field research include generating the idea, finding sites, selling the idea, identifying longitudinal concerns, meeting human subject guidelines, motivating participants, obtaining good data, exerting control, creating ownership, handling conflict, and presenting results. (SK)

Suggests a starting place for formal inquiry into distance education. Topics covered include: background on educational research and research on distance education; research paradigms that are applicable to distance education; subsystems of a distance education program; and a matrix for conceptualizing distance education research. (MES)