Presenting the first book that provides HR professionals with a context for understanding the importance of doing a proper job analysis together with a step-by-step guide to conducting such an analysis. This unique guide contains a series of eight ready-to-use templates that provide the basis for conducting job analyses for eight different levels of job families, from the entry-level to the senior manager/executive.
Human resource management is an important area in an organization yet is is very complex due to the fact that it involves human beings who are intelligent to think, react and act according to their thoughts. Therefore managing human beings requires skills and expertise so they can fulfill their jobs. In order for employees to fulfill their job efficiently and effectively, job evaluation is an important human resource practice to determine the value or worth of a particular job in comparison with other jobs. Job evaluation is one the simplest however critical in nature. One of the basic approaches in job evaluation is ranking. Ranking involves comparing jobs to each other based on the overall worth of a job to an organization. This book provide a practical guide to rank jobs and therefore provides a strong basis for job evaluation in any organization. This book will assist and prepare students for job evaluation activities as Human resource practitioners.
An insightful, hands-on focus on the statistical methods used by compensation and human resources professionals in their everyday work Across various industries, compensation professionals work to organize and analyze aspects of employment that deal with elements of pay, such as deciding base salary, bonus, and commission provided by an employer to its employees for work performed. Acknowledging the numerous quantitative analyses of data that are a part of this everyday work, Statistics for Compensation provides a comprehensive guide to the key statistical tools and techniques needed to perform those analyses and to help organizations make fully informed compensation decisions. This self-contained book is the first of its kind to explore the use of various quantitative methods—from basic notions about percents to multiple linear regression—that are used in the management, design, and implementation of powerful compensation strategies. Drawing upon his extensive experience as a consultant, practitioner, and teacher of both statistics and compensation, the author focuses on the usefulness of the techniques and their immediate application to everyday compensation work, thoroughly explaining major areas such as: Frequency distributions and histograms Measures of location and variability Model building Linear models Exponential curve models Maturity curve models Power models Market models and salary survey analysis Linear and exponential integrated market models Job pricing market models Throughout the book, rigorous definitions and step-by-step procedures clearly explain and demonstrate how to apply the presented statistical techniques. Each chapter concludes with a set of exercises, and various case studies showcase the topic's real-world relevance. The book also features an extensive glossary of key statistical terms and an appendix with technical details. Data for the examples and practice problems are available in the book and on a related FTP site. Statistics for Compensation is an excellent reference for compensation professionals, human resources professionals, and other practitioners responsible for any aspect of base pay, incentive pay, sales compensation, and executive compensation in their organizations. It can also serve as a supplement for compensation courses at the upper-undergraduate and graduate levels.
Managers who hire employees, human resource directors who train line managers and supervisors to do the hiring, and consultants will all benefit from this hands-on manual. The book takes readers through each step in the hiring process, including job definition, recruitment, interviewing, testing and checking references. Each chapter briefly outlines key concepts and includes several exercises and worksheets that will serve as a complete hiring strategy that can be customized to any manager's specific hiring needs.
The benefits of this highly streamlined job analysis process include: gathering job data quickly (normally 2-3 hours), making job-based training recommendations rapidly, saving money on costly consultants for job analysis, using a consistent process across the organization and creating validated task lists that can be used for job redesign and workforce deployment.
Thoroughly updated and revised, this Second Edition is the only book currently on the market to present the most important and commonly used methods in human resource management in such detail. The authors clearly outline how organizations can create programs to improve hiring and training, make jobs safer, provide a satisfying work environment, and help employees to work smarter. Throughout, they provide practical tips on how to conduct a job analysis, often offering anecdotes from their own experiences.
Leading people in today's complex world is challenging. There are regulations, unions, lawyers, and more to deal with on a daily basis. Written by a longtime human resources consultant, this guidebook helps you develop your leadership skills so you can recruit qualified applicants; interview candidates with confidence; hire the right people; train new employees and keep the best performers; deal with unions; and stay out of court. In addition to the basics, you'll learn how to respond to situations that catch you off guard. For instance, what do you do if your best employee tells you that he or she is leaving to join a competitor? What if one of your employees takes a public stand against one of your policies? What if someone you fire for theft hires a lawyer who sends you a nasty letter? Other textbooks on human resources management focus on theories and statistics, but A Practical Guide to Human Resources Management provides real-life examples to help you handle any situation with leadership that inspires confidence.
R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphing exploratory data analysis and graphical summaries regression (linear, multi and non-linear) simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures) frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.
A guide for grad students and academics who want to find fulfilling careers outside higher education. With the academic job market in crisis, 'Leaving Academia' helps grad students and academics in any scholarly field find satisfying careers beyond higher education. The book offers invaluable advice to visiting and adjunct instructors ready to seek new opportunities, to scholars caught in "tenure-trap" jobs, to grad students interested in nonacademic work, and to committed academics who want to support their students and contingent colleagues more effectively. Providing clear, concrete ways to move forward at each stage of your career change, even when the going gets tough, 'Leaving Academia' is both realistic and hopeful.
