The aim of this paper is to introduce a software that is appropriate for the generalizability theory for not only balanced but also unbalanced data sets. Because it is possible to have unbalanced data sets while conducting a study, the researchers have devised an easy solution, other than deleting data, to balance the design to cope with this…

Multivariate techniques are increasingly popular as researchers attempt to accurately model a complex world. MANOVA is a multivariate technique used to investigate the dimensions along which groups differ, and how these dimensions may be used to predict group membership. A concern in a MANOVA analysis is to determine if a smaller subset of…

Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and…

Education research rarely lends itself to large scale experimental research and true randomization, leaving the researcher to quasi-experimental designs. The problem with quasi-experimental research is that underlying factors may impact group selection and lead to potentially biased results. One way to minimize the impact of non-randomization is…

Chemists have used computational science methodologies for a number of decades and their utility continues to be unabated. For this reason we developed an advanced lab in computational chemistry in which students gain understanding of general strengths and weaknesses of computation-based chemistry by working through a specific research problem.…

The viability of the FORTRAN computer language and its relationship to other languages (such as PASCAL) were discussed. A library of C language and assembly language FORTRAN-callable subroutines, developed for the use of behavioral science researchers, was introduced. (Author/GDC)

The visual image is so information-rich that describing its content fully can be very problematic. Trying to codify or analyze the content in any systematic way often proves even more difficult. Nevertheless, reducing certain aspects of visual data to a set of numbers can be useful because it exposes characteristics of the message that might be…

Although web browser caching speeds up retrieval, reduces network traffic, and decreases the load on servers and browser's computers, an unintended consequence for marketing research is that Web servers undercount hits. This article explores counting problems, caching, proxy servers, trawler software and presents a series of correction factors…

Considers possibility of developing a computer tutor around an explicit concept-learning theory derived from machine learning techniques. Some problems with using the focusing (and similar) algorithms in this role are discussed and possible solutions are developed. Design for a guided discovery learning system for tutoring concepts is proposed.…

The process of focus-finding in qualitative research is ongoing and dynamic, involves researcher choices and decisions (rather than pure discovery), and is a process of social construction in which the researcher interacts with the research setting. Focus-finding is discussed in the context of a qualitative research study of the integration of…

Asserts that current technology makes it possible to administer organizational surveys by using computers. Describes processes of conducting a computer-administered survey. Finds that respondents who complete computer surveys find them more interesting and seem to be more aware of their thoughts and feelings while completing them. (CFR)