
The MetaAnalytic Organization: Introducing StatisticoOrganizational Theory
Authored by: Lex Donaldson
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Cloth ISBN: 9780765620675 
Paper ISBN: 9780765620682 
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Information: 296pp. Tables, figures, appendix, references, name index, subject index.
Publication Date: July 2010.


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Description: This groundbreaking book develops a new organizational theory derived from ideas in statistics and psychometrics. The author's core premise is that errors known to occur in social science research must also occur when managers look at their data and seek to make inferences about cause and effect. Statisticoorganizational theory uses methodological principles to predict when errors occur and how great they will be. Expanding on this concept, The MetaAnalytic Organization offers new theoretical propositions about organizational strategy and structure with wide application to human resource management, international business, and more.
Selected Contents:
List of Tables and Figures Foreword, Frank Schmidt Preface Part I. The Vision for a New Organizational Theory 1. Creating Organizational Theory from Methodological Principles Methodological Principles as Foundations for Organizational Theory The Theoretical Structure of StatisticoOrganizational Theory Managerial Errors Overview of StatisticoOrganizational Theory 2. The Deep Structure of Data Cognitive Positivism The Methodological Philosophy Underlying Metaanalysis Hierarchy in Inquiry Continuities of New Theory with Prior Organizational Theory Research Part II. The Sources of Error 3. Managerial Errors from Small Numbers The Law of Small Numbers Inference and the Nature of What Is Counted Small Organizational Size Leads to Errors Weak Inference and Organizational Mortality International Comparative Advantage in Inference Relationships with Some Previous Organizational Theories Conclusions 4. Data Disaggregation and Managerial Errors The Fallacy of Disaggregation Cycles of Dysfunctional Control Inference and the Management of Human Resources Problem of Aggregating Previous Inferences The Fallacy of Immediacy Organizational Structure for Inference Conclusions 5. Measurement Error of Profit The Problem of Measurement Error Measurement Error in Profit Measurement Error of Profitability Ratios Time Rates Lead to Measurement Error Control Variables Lead to Measurement Error Comparison with Standard Leads to Measurement Error Measurement Error in Contingency Misfit Analyses Low Reliability Not Readily Increased Conclusions 6. Quantifying the Measurement Error of Profit Formal Analysis of Measurement Error of Profit Sensitivity of Profit Reliability Causal Model of the Determinants of Profit Reliability Measurement Error of Growth of Sales Conclusions 7. Measurement and Sampling Errors in the MForm and Strategic Niches Errors in MForm Divisional Profitability Errors in Niche Strategy Analysis Conclusions 8. Errors from Range Restriction and Extension Errors from Range Restriction in Organizational Management Errors from Range Restriction in Organizational Misfit and Fit Errors from Range Extension Conclusions 9. Confounding by the Performance Variable Weak Spurious Correlations Can Produce Severe Confounding Confounding by Definitional Connections Confounding by Reciprocal Causality: PerformanceDriven Organizational Change Confounds and Other Sources of Error Conclusions 10. Controlling for Confounding by Using Organizational Experiments Confounding as a Source of Error Experiments with Control Groups Experiments in Organizations Bias in Organizational Experiments Conclusions 11. Controlling for Confounding by Data Aggregation Summary Controlling Confounds by Averaging Confounding by Multiple Causes Confounding in Multiple Causes of Organizational Performance Confounds Readily Eliminated Controlling Confounds through Averaging in Organizational Management Conclusions Part III. Integration 12. Errors Are Not SelfCorrecting Repeated Operation of Errors Overall Error from Multiple Error Sources Conclusions 13. Equations of StatisticoOrganizational Theory True Correlation Measurement Error Range Restriction and Range Extension Combination of Measurement Error and Range Restriction or Extension Confounding Overall Error without Sampling Error Sampling Error Overall Error with Sampling Error Conclusions 14. How Managers Can Reduce Errors Reducing Sampling Error Reducing Measurement Error Reducing Errors from Range Artifacts Reducing Errors from Confounding 15. Conclusions Situations that Lead to Errors Reflections and Limitations Appendix References Name Index Subject Index About the Author
Comment(s): "In this book, Donaldson offers a new organization theory positioned at the organizational level of analysis, a welcome supplement to the population and fieldlevel theories that are currently the rage. Donaldson draws on the principles of metaanalysis and statistical inference to conceptualize the formal organization as an information aggregator. Organizations gain competitive advantage from this aggregation capability, but their managers are subject to the same errors of inference that social scientists wrestle with in making sense of quantitative data. This book sensitizes the reader to the information processing capacities (and weaknesses) of formal organizations, adding important insights that continue the long tradition of organization theory represented by Thompson, Lawrence and Lorsch, the Aston Group, and Galbraith."  William McKinley, Southern Illinois University at Carbondale
"Lex Donaldson does more than catalog a compelling set of statistical foibles to which managers fall prey. He uses them to build theory and inform managerial practice."  Gary Johns, Concordia University
"Donaldson lucidly presents statisticoorganizational theorybeginning with biased data and applying statistical principles to develop improved new organization theory. He shows serious scholars how to improve their 'game;' his new book is a tour de force."  Richard Burton, Duke University
