Social statistics : managing data, conducting analyses, presenting results / Thomas J. Linneman

Por: Linneman, Thomas JohnTipo de material: TextoTextoDetalles de publicación: New York : Routledge, 2018 Edición: 3rd Edition.Descripción: pag. variadaISBN: 9781138228627 Tema(s): Ciencias sociales -- Métodos estadísticos | Estadistica
Contenidos:
Preface -- Acknowledgments -- Life in a data-laden age : finding and managing datasets -- The art of visual storytelling : creating accurate tables and graphs -- Summarizing center and diversity : basic descriptive statistics -- Using sample crosstabs to talk about populations : the chi-square test -- Using a sample mean or proportion to talk about a population : confidence intervals -- Using multiple sample means to talk about populations : T-tests and Anova -- Give me one good reason why : bivariate correlation and regression -- Using sample slopes to talk about populations : inference and regression -- It's all relative: dichotomies as independent variables in regression -- Above and beyond : the logic of controlling and the power of nested regression models -- Some slopes are bigger than others : calculating and interpreting beta coefficients -- Different slopes for different folks : interaction effects -- Explaining dichotomous outcomes : logistic regression -- Visualizing causal stories : path analysis -- Questioning the greatness of straightness : nonlinear relationships -- Problems and prospects : regression diagnostics, advanced techniques, and where to grow -- Appendix a -- Appendix b -- Appendix c -- Appendix d -- Bibliography -- Index.
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Revised edition of the author's Social statistics, 2014.

Includes bibliographical references and index.

Preface -- Acknowledgments -- Life in a data-laden age : finding and managing datasets -- The art of visual storytelling : creating accurate tables and graphs -- Summarizing center and diversity : basic descriptive statistics -- Using sample crosstabs to talk about populations : the chi-square test -- Using a sample mean or proportion to talk about a population : confidence intervals -- Using multiple sample means to talk about populations : T-tests and Anova -- Give me one good reason why : bivariate correlation and regression -- Using sample slopes to talk about populations : inference and regression -- It's all relative: dichotomies as independent variables in regression -- Above and beyond : the logic of controlling and the power of nested regression models -- Some slopes are bigger than others : calculating and interpreting beta coefficients -- Different slopes for different folks : interaction effects -- Explaining dichotomous outcomes : logistic regression -- Visualizing causal stories : path analysis -- Questioning the greatness of straightness : nonlinear relationships -- Problems and prospects : regression diagnostics, advanced techniques, and where to grow -- Appendix a -- Appendix b -- Appendix c -- Appendix d -- Bibliography -- Index.

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