The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

Behavioral science researchers routinely use scale scores that sum or average a set of questionnaire items to address their substantive questions. A researcher applying multiple imputation to incomplete questionnaire data can either impute the incomplete items prior to computing scale scores or impute the scale scores directly from other scale…

In the early years of online retailing, having an online presence and low prices were believed to be key drivers of success. More recently, electronic service quality has become essential as an online marketing strategy. Online stores provide higher service quality to create online customer loyalty, improve customer satisfaction, and keep a…

Describes the method of discriminant analysis, including the concept of discriminant function, discriminant score, group centroid, and discriminant weights and loadings. Discusses methods for testing the statistical significance of a function, methods of using the function in classification, and the concept of rotating functions. Illustrates the…

The relationship between treatment levels and errors of estimate for a dependent variable in a behavioral science research experiment is typically evaluated by an analysis of covariance. The same relation can be expressed by part correlation. In non-experimental research with individual-difference variables, an assumption regarding independence,…

Presents a general class of single-case statistical procedures derived from previously developed nonparametric randomization tests. Designs are illustrated that focus on the general and comparative effectiveness of alternative interventions, multiple units with differentiable characteristics, and multiple outcome measures. Provides operational…

Explains multiple regression, demonstrates its flexibility for analyzing data from various designs, and discusses interpretation of results from multiple regression analysis. Presents regression equations for single independent variable and for two or more independent variables, followed by a discussion of coefficients related to these. Compares…

According to the authors, statistical techniques should accurately reflect the research question of interest; no statistical technique should be used mechanically. A researcher should employ the statistical models most capable of answering the research question. If the true research question is concerned with predicting a variety of dependent…

Undergraduate students routinely rated science-related courses such as biopsychology as intimidating and very difficult. Identification of factors that may contribute to success in these types of courses is important in order to help increase performance and interest in these topics. To examine what variables are related to performance, we studied…

This paper reports the results of a Monte Carlo investigation of Type I errors in the single group repeated measures design where multiple measures are collected from each observational unit at each measurement occasion. The Type I error of three multivariate tests were examined. These were the doubly multivariate F test, the multivariate mixed…

The major purpose of this study is to further the development of procedures which minimize current limitations of creativity instruments, thus yielding a reliable and functional means for assessing creativity. Computerized content analysis and multiple regression are employed to simulate the creativity ratings of trained judges. The computerized…

Based on the assumption that inferential statistics can make the operant conditioner more sensitive to possible significant relationships, regressions models were developed to test the statistical significance between slopes and Y intercepts of the experimental and control group subjects. These results were then compared to the traditional operant…

The major objectives of a project initiated by the Canada Council in 1976 were to develop measures of subjective social indicators and to examine factors responsible for variation in those indicators across Canada and over time. Subjective social indicators are interpreted as measures of personal perceptions, preferences, attitudes, and values.…