Elazar J. Pedhazur

Bio: Elazar J. Pedhazur is an academic researcher. The author has contributed to research in topics: Regression analysis & Linear predictor function. The author has an hindex of 1, co-authored 1 publications receiving 3867 citations.

Multiple Regression in Behavioral Research: Explanation and Prediction

Abstract: Part I: Foundations of Multiple Regression Analysis. Overview. Simple Linear Regression and Correlation. Regression Diagnostics. Computers and Computer Programs. Elements of Multiple Regression Analysis: Two Independent Variables. General Method of Multiple Regression Analysis: Matrix Operations. Statistical Control: Partial and Semi-Partial Correlation. Prediction. Part II: Multiple Regression Analysis. Variance Partitioning. Analysis of Effects. A Categorical Independent Variable: Dummy, Effect, And Orthogonal Coding. Multiple Categorical Independent Variables and Factorial Designs. Curvilinear Regression Analysis. Continuous and Categorical Independent Variables I: Attribute-Treatment Interaction, Comparing Regression Equations. Continuous and Categorical Independent Variables II: Analysis of Covariance. Elements of Multilevel Analysis. Categorical Dependent Variable: Logistic Regression. Part III: Structural Equation Models. Structural Equation Models with Observed Variables: Path Analysis. Structural Equation Models with Latent Variables. Part IV: Multivariate Analysis. Regression, Discriminant, And Multivariate Analysis of Variance: Two Groups. Canonical, Discriminant, And Multivariate Analysis of Variance: Extensions. Appendices.

Affect- and Cognition-Based Trust as Foundations for Interpersonal Cooperation in Organizations

Abstract: This study addressed the nature and functioning of relationships of interpersonal trust among managers and professionals in organizations, the factors influencing trust's development, and the implications of trust for behavior and performance Theoretical foundations were drawn from the sociological literature on trust and the social-psychological literature on trust in close relationships An initial test of the proposed theoretical framework was conducted in a field setting with 194 managers and professionals

Reporting structural equation modeling and confirmatory factor analysis results: A review

Abstract: The authors provide a basic set of guidelines and recommendations for information that should be included in any manuscript that has confirmatory factor analysis or structural equation modeling as the primary statistical analysis technique. The authors provide an introduction to both techniques, along with sample analyses, recommendations for reporting, evaluation of articles in The Journal of Educational Research using these techniques, and concluding remarks.

A hierarchical model of approach and avoidance achievement motivation

Abstract: A hierarchical model of approach and avoidance achievement motivation was proposed and tested in a college classroom. Mastery, performance-approach, and performance-avoidance goals were assessed and their antecedents and consequences examined. Results indicated that mastery goals were grounded in achievement motivation and high competence expectancies; performance-avoidance goals, in fear of failure and low competence expectancies; and performance-approach goals, in ach.ievement motivation, fear of failure, and high competence expectancies. Mastery goals facilitated intrinsic motivation, performance-approach goals enhanced graded performance, and performanceavoidance goals proved inimical to both intrinsic motivation and graded performance. The proposed model represents an integration of classic and contemporary approaches to the study of achievement motivation. Achievement motivation is a ubiquitous feature of daily life. In the classroom, at the workplace, and on the ballfield individuals strive to be competent in their effortful activities. In the past decade, many theorists have utilized a social-cognitive, achievement goal approach in accounting for individuals' competence-relevant strivings. "Achievement goal" is commonly defined as the purpose of task engagement (Maehr, 1989), and the specific type of goal adopted is posited to create a framework for how individuals interpret, experience, and act in their achievement pursuits (Dweck, 1986; Nicholls, 1989). Achievement goal theorists commonly identify two distinct orientations toward competence: a performance goal focused on the demonstration of competence relevant to others, and a mastery goal focused on the development of competence and task mastery (Ames & Archer, 1987; for similar conceptualizations with different nomenclature see Dweck, 1986; NichoUs, 1984). The adoption of a performance goal is hypothesized to produce susceptibility to a "helpless" pattern of responses in achievement settings (e.g., a preference for easy or difficult tasks, withdrawal of effort in the face of failure, and decreased task enjoyment), whereas the adoption of a mastery goal is presumed to lead to a "mastery" motivational pattern (e.g., a preference for moderately challenging tasks, persistence in the face of failure, and enhanced task enjoyment; Ames, 1992; Dweck & Leggett, 1988; Nicholls, 1989). Most achievement goal theorists conceptualize both perfor

A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology

Abstract: The acceptance of new information technologies by their intended users persists as an important issue for researchers and practitioners of information systems. Several models have been developed in the literature to facilitate understanding of the process by which new information technologies are adopted. This paper proposes a new construct that further illuminates the relationships explicit in the technology acceptance models and describes an operational measure for this construct that possesses desirable psychometric properties. The construct, personal innovativeness in the domain of information technology, is hypothesized to exhibit moderating effects on the antecedents as well as the consequences of individual perceptions about a new information technology. The construct was developed and validated in the context of the innovation represented by the World-Wide Web. Implications for theory and practice are discussed.

Methodological fit in management field research.

Abstract: Methodological fit, an implicitly valued attribute of high-quality field research in organizations, has received little attention in the management literature. Fit refers to internal consistency among elements of a research project—research question, prior work, research design, and theoretical contribution. We introduce a contingency framework that relates prior work to the design of a research project, paying particular attention to the question of when to mix qualitative and quantitative data in a single research paper. We discuss implications of the framework for educating new field researchers.