The Relationship Between Formal Mentoring Program Characteristics and Perceived Program Effectiveness

TL;DR: It is indicated that having a mentor of one's own gender or race was felt to be important by many students, especially women and students of Color, and matching by race or gender did not affect academic outcomes.

TL;DR: In this paper, a meta-analysis was conducted where the provision of career, psychosocial and role modeling mentoring support were associated with five types of subjective career outcomes for mentors: job satisfaction, organizational commitment, turnover intent, job performance, and career success.

TL;DR: This paper reviewed the methodology and content of 200 published mentoring articles and found that over reliance on cross-sectional designs and self-report data, a failure to differentiate between different forms of mentoring (e.g., formal versus informal), and a lack of experimental research.

TL;DR: In this article, the authors trace the evolution of mentoring programs in the United States in business and academe, provide insight on the challenges associated with the study of mentorship, and identify the limited research-based studies of faculty mentoring program that currently inform our understanding of this professional development practice in American higher education.

Abstract: Contents: Preface. Introduction. Bivariate Correlation and Regression. Multiple Regression/Correlation With Two or More Independent Variables. Data Visualization, Exploration, and Assumption Checking: Diagnosing and Solving Regression Problems I. Data-Analytic Strategies Using Multiple Regression/Correlation. Quantitative Scales, Curvilinear Relationships, and Transformations. Interactions Among Continuous Variables. Categorical or Nominal Independent Variables. Interactions With Categorical Variables. Outliers and Multicollinearity: Diagnosing and Solving Regression Problems II. Missing Data. Multiple Regression/Correlation and Causal Models. Alternative Regression Models: Logistic, Poisson Regression, and the Generalized Linear Model. Random Coefficient Regression and Multilevel Models. Longitudinal Regression Methods. Multiple Dependent Variables: Set Correlation. Appendices: The Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements. Determination of the Inverse Matrix and Applications Thereof.

TL;DR: This ebook offers full option of this ebook in doc, DjVu, PDF, ePub, txt forms, and on the site you can reading the instructions and other artistic eBooks online, either download them as well.

TL;DR: In this article, two models of procedural justice are presented: Procedural Justice in Law I and Procedural justice in Law II, and the Generality of Procedural Jurisprudence.