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. Statistico-organizational theory uses methodological principles to predict when errors occur and how great they will be.
Expanding on this concept, The Meta-Analytic Organization offers new theoretical propositions about organizational strategy and structure with wide application to human resource management, international business, and more.
List of Tables and Figures
Part I. The Vision for a New Organizational Theory
1. Creating Organizational Theory from Methodological Principles
2. The Deep Structure of Data
Part II. The Sources of Error
3. Managerial Errors from Small Numbers
4. Data Disaggregation and Managerial Errors
5. Measurement Error of Profit
6. Quantifying the Measurement Error of Profit
7. Measurement and Sampling Errors in the M-Form and Strategic Niches
8. Errors from Range Restriction and Extension
9. Confounding by the Performance Variable
10. Controlling for Confounding by Using Organizational Experiments
11. Controlling for Confounding by Data Aggregation
Part III. Integration
12. Errors Are Not Self-Correcting
13. Equations of Statistico-Organizational Theory
14. How Managers Can Reduce Errors
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 field-level theories that are currently the rage. Donaldson draws on the principles of meta-analysis 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 statistico-organizational theory--beginning 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