Using Statistics in Social Research: A Concise Approach - Tapa dura

Lynch, Scott M.

 
9781461485728: Using Statistics in Social Research: A Concise Approach
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ISBN 10: 146148572X ISBN 13: 9781461485728
Editorial: Springer, 2013

Sinopsis

This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic philosophical issues underpinning the process of scientific research. These include the concepts of deductive reasoning and the falsifiability of hypotheses, the development of a research question and hypotheses, and the process of data collection and measurement. Probability theory is then covered extensively with a focus on its role in laying the foundation for statistical reasoning and inference. After illustrating the Central Limit Theorem, later chapters address the key, basic statistical methods used in social science research, including various z and t tests and confidence intervals, nonparametric chi square tests, one-way analysis of variance, correlation, simple regression, and multiple regression, with a discussion of the key issues involved in thinking about causal processes. Concepts and topics are illustrated using both real and simulated data. The penultimate chapter presents rules and suggestions for the successful presentation of statistics in tabular and graphic formats, and the final chapter offers suggestions for subsequent reading and study.

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Acerca del autor

Scott M. Lynch is a professor in the Department of Sociology and Office of Population Research at Princeton University.  His substantive research interests are in changes in racial and socioeconomic inequalities in health and mortality across age and time, as well as in understanding the sources of regional disparities in health in the U.S.  His methodological interests are in the application of Bayesian statistics and estimation methods to problems that cannot be easily addressed with classical statistical methods in sociology and demography.

De la contraportada

This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic philosophical issues underpinning the process of scientific research. These include the concepts of deductive reasoning and the falsifiability of hypotheses, the development of a research question and hypotheses, and the process of data collection and measurement. Probability theory is then covered extensively with a focus on its role in laying the foundation for statistical reasoning and inference. After illustrating the Central Limit Theorem, later chapters address the key, basic statistical methods used in social science research, including various z and t tests and confidence intervals, nonparametric chi square tests, one-way analysis of variance, correlation, simple regression, and multiple regression, with a discussion of the key issues involved in thinking about causal processes. Concepts and topics are illustrated using both real and simulated data. The penultimate chapter presents rules and suggestions for the successful presentation of statistics in tabular and graphic formats, and the final chapter offers suggestions for subsequent reading and study.

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Editorial
Springer
Año de publicación
2013
Idioma
Inglés
ISBN 10 
146148572X
ISBN 13 
9781461485728
Encuadernación
Tapa dura
Número de páginas
256
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9781493953066: Using Statistics in Social Research: A Concise Approach

Edición Destacada

ISBN 10:  1493953060 ISBN 13:  9781493953066
Editorial: Springer, 2016
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