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Addressing the immensely important topic of research credibility, Raymond Hubbard’s groundbreaking Corrupt Research proposes that we must treat such information with a healthy dose of skepticism. This book argues that the dominant model of knowledge procurement subscribed to in these areas—the significant difference paradigm—is philosophically suspect, methodologically impaired, and statistically broken. Hubbard introduces a more accurate, alternative framework—the significant sameness paradigm—for developing scientific knowledge. The majority of the book comprises a head-to-head comparison of the “significant difference” versus “significant sameness” conceptions of science across philosophical, methodological, and statistical perspectives.
Drastic increases in the use of imprisonment; the introduction of ’three strikes’ laws and mandatory sentences; restrictions on parole - all of these developments appear to signify a new, harsher era or ’punitive turn’. Yet these features of criminal justice are not universally present in all Western countries. Drawing on empirical data, Hamilton examines the prevalence of harsher penal policies in Ireland, Scotland and New Zealand, thereby demonstrating the utility of viewing criminal justice from the perspective of smaller jurisdictions. This highly innovative book is thoroughly critical of the way in which punitiveness is currently measured by leading criminologists. It is essential reading for students and scholars of criminology, penology, criminal justice and socio-legal studies, as well as criminal lawyers and practitioners.
John Gerring's exceptional textbook has been thoroughly revised in this second edition. It offers a one-volume introduction to social science methodology relevant to the disciplines of anthropology, economics, history, political science, psychology and sociology. This new edition has been extensively developed with the introduction of new material and a thorough treatment of essential elements such as conceptualization, measurement, causality and research design. It is written for students, long-time practitioners and methodologists and covers both qualitative and quantitative methods. It synthesizes the vast and diverse field of methodology in a way that is clear, concise and comprehensive. While offering a handy overview of the subject, the book is also an argument about how we should conceptualize methodological problems. Thinking about methodology through this lens provides a new framework for understanding work in the social sciences.
The second edition of this best-selling Handbook presents a fully updated and expanded overview of research, providing the latest perspectives on the analysis of theories, techniques, and methods used by industrial, work, and organizational psychologists. Building on the strengths of the first edition, key additions to this edition include in-depth historical chapter overviews of professional contexts across the globe, along with new chapters on strategic human resource management; corporate social responsibility; diversity, stress, emotions and mindfulness in the workplace; environmental sustainability at work; aging workforces, among many others. Providing a truly global approach and authoritative overview, this three-volume Handbook is an indispensable resource and essential reading for professionals, researchers and students in the field. Volume One: Personnel Psychology and Employee Performance Volume Two: Organizational Psychology Volume Three: Managerial Psychology and Organizational Approaches
The field of management research is commonly regarded as or aspires to be a science discipline. As such, management researchers face similar methodological problems as their counterparts in other science disciplines. There are at least two ways that philosophy is connected with management research: ontological and epistemological. Despite an increasing number of scattered philosophy-based discussions of research methodology, there has not been a book that provides a systematic and more comprehensive treatment of the subject. This book addresses this gap in the market and provides new ideas and arguments for guiding management researchers.
The SAGE Handbook of Tourism Management is a critical, authoritative review of tourism management, written by leading international thinkers and academics in the field. Arranged over two volumes, the chapters are framed as critical synoptic pieces covering key developments, current issues and debates, and emerging trends and future considerations for the field. The two volumes focus in turn on the theories, concepts and disciplines that underpin tourism management in volume one, followed by examinations of how those ideas and concepts have been applied in the second volume. Chapters are structured around twelve key themes: Volume One Part One: Researching Tourism Part Two: Social Analysis Part Three: Economic Analysis Part Four: Technological Analysis Part Five: Environmental Analysis Part Six: Political Analysis Volume Two Part One: Approaching Tourism Part Two: Destination Applications Part Three: Marketing Applications Part Four: Tourism Product Markets Part Five: Technological Applications Part Six: Environmental Applications This handbook offers a fresh, contemporary and definitive look at tourism management, making it an essential resource for academics, researchers and students.
This volume in the series has big objectives: describe the bad science practices now in use in most studies in business-to-business marketing strategy and describe a true paradigm shift to good science practices by replacing the variable-based linear-symmetric null hypothesis testing (NHST) approach in theory construction and testing--with case-based asymmetric models with somewhat precise outcome testing (SPOT). Whether the question refers to success or failure, wise executives ask, how did we get here? What's in store for the next decade? Unfortunately, the majority of scholarly articles examining the causes of success and failure offers scant useful information that is accurate in forecasting success or failure strategy outcomes. The majority of studies on strategy performance outcomes focus on variable relationships and testing for the directionality (positive or negative relationships) and effect size of relationships--using multiple regression analysis and structural equation modeling (MRA/SEM) using null hypothesis statistical testing (NHST). Research on the value of NHST indicates that such studies are worse than useless: such research does not focus on case-based outcomes and achieving a statistically significant relationship greatly depends on the sample size of firms in the studies. Researchers using NHST are answering the wrong questions in examining the net effects of independent variables on dependent variable of interest (e.g., net earnings per revenue). Here are the right questions to ask. What configurations of antecedent conditions combine to generate positive outcomes for our firm and similar firms? What configurations of antecedent conditions combine to generate negative outcomes for firms in our industry? Sound reasoning and empirical evidence supports the wisdom of business executives ignoring the scholarly empirical literature on forecasting successful and unsuccessful management strategies using the NHST of the size and directionality of relationships. Good science practice relies on the complexity theory tenets covered in the chapters in this volume. Good science practice includes matching case-focused theory with case-focused data analytic tools and using somewhat precise outcome tests (SPOT) of asymmetric models. Good science practice achieves requisite variety necessary for deep explanation, description, and accurate prediction. The fear of submission rejection is another reason for rejecting case-based asymmetric modeling and SPOT. Overcome such fear by learning to apply complexity theory tenets, constructing separate case-based, mid-range, models of successful versus unsuccessful outcomes, and testing for accuracy via SPOT. This volume provides tools necessary for you to accomplish this task.

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