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Basic Statistical Concepts
Designed to help readers avoid "statistics anxiety," this introduction to basic statistics uses simplified language and presents concepts in a logical progression that allows readers to master simple tasks as they build the skills necessary to tackle more complex concepts. Includes, for each concept, Research Scenarios, familiar illustrations of the concept, formulas that define or demonstrate the concept, computational formulas, worked examples, and applications, and limitations of the concept. Incorporates computer examples (SPSS) throughout. Covers frequency distributions and graphical methods; central tendency; variability; the normal curve; sampling theory for hypothesis testing; correlation; prediction and regression; the significance of the difference between means; decision making, power, and effect size; one-way analysis of variance; two-way analysis of variance; and nonparametric statistical tests. For those in the education and the behavioral sciences who need an introduction to statistics.
The Production of Knowledge
Bill Starbuck has been one of the leading management researchers over several decades. In this book he reflects on a number of challenges associated with management and social science research - the search for a 'behavioral science', the limits of rationality, the unreliability of many research findings, the social shaping of research agendas, cultures and judgements. It is an engaging, chronologically structured account in which he discusses some of his own research projects and various methodological debates. This is a feisty argument from someone who has been fully engaged with all aspects of research - carrying out research programmes, evaluating research, tirelessly questioning the assumptions and claims of social science research, and never avoiding the awkward theoretical or practical challenges that face organizational researchers. Well written, provocative and unusual, this quasi autobiographical account will inform and entertain, and be a valuable guide to current and future research students.
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