'Statistical Methods for Organizational Research' provides a theoretical and practical introduction to the subject for students, researchers and practitioners involved in quantitative research.

'Statistical Methods for Organizational Research' provides a theoretical and practical introduction to the subject for students, researchers and practitioners involved in quantitative research.

This revision of a best selling research methods textbook introduces social science methods as applied broadly to the study of issues that arise as part of organizational life. These include issues involving organizational participants such as managers, teachers, customers, patients and clients, and transactions within and between organizations. In this new edition, chapter 19 now focuses on describing the modeling process and outcomes. An entirely new chapter 20 now addresses challenges to modeling. It goes substantially beyond a discussion of statistical inference. It also discusses issues in interpreting variance, explained estimates, and standardized and unstandardized regression coefficients. A new capstone chapter 21 helps students recognize good research. This textbook is accompanied by an Instructor's Manual for course use.

`This text provides a timely and comprehensive introduction to major research methods in the Organizational sciences. It will be a boon to all students conducting their projects in this area, and may well become a standard reference for staff teaching research methods to undergraduate and postgraduate students of business studies or organizational behaviour′ - Professor Neil Anderson, Goldsmiths College, University of London ′This reasonably priced text would provide an invaluable starting point for those considering undertaking research in organisational settings′ - Paula Roberts, Nurse Researcher This book provides the reader with clear pointers for how to conduct organizational research appropriately, through planning and making informed and systematic research decisions, to understanding the ethical implications of applied organizational research, to implementing, reporting and presenting the findings to the highest possible standards. It provides an overview of a wide variety of research strategies, methods of data collection (both qualitative and quantitative) and analysis in a volume accessible to both an undergraduate, postgraduate and practitioner readership alike. Organizational Research Methods also represents a useful aid to the report writing task, indicating ways in which the project material can be most effectively organised for academic and feedback purposes, and by drawing upon real-life organizational contexts and examples to help the reader understand the core issues. Finally, the book offers a clear, manageable procedure for preparing a presentation to an academic or an organizational audience. Providing practical guidance on all elements of the research process, this book will be essential reading to all undergraduate and postgraduate students, as well as researchers, in psychology, organizational studies and management disciplines.

In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings.

This work provides a foundation in the statistics portion of nursing. Topics expanded in this edition include reliability analysis, path analysis, measurement error, missing data, and survival analysis.

Richard A. Swanson and Elwood F. Holton, leading scholars in the field, bring together contributions from more than twenty distinguished researchers from multiple disciplines to provide a comprehensive introductory textbook on organizational research. Designed for use by professors and students in graduate-level programs in business, management, organizational leadership, and human resource development, Research in Organizations teaches how to apply a range of methodolgies to the study of organizations. This comprehensive guide covers the theoretical foundations of various research methods, shows how to apply those methods in organizational settings, and examines the ethical conduct of research. It provides a holistic perspective, embracing quantitative, qualitative, and mixed-methodology approaches and illuminating them through numerous illustrative examples.

This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.

Understanding statistical methods provides us with an efficient way to explore, analyse and interpret data, as well as evaluate the strength of evidence presented in support of or opposition to claims. This book helps readers develop the statistical competency necessary to become good researchers and 'statistical citizens' in the information age.