Using statistics in social research : a concise approach /

Using statistics in social research : a concise approach /

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Bibliographic Details
Author / Creator:Lynch, Scott M. (Scott Michael), 1971-, author.
Imprint:New York : Springer, 2013.
Description:1 online resource (xxiii, 229 pages) : illustrations.
Language:English
Subject:
Social sciences -- Statistical methods.
Social sciences -- Statistical methods.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/9966371
Hidden Bibliographic Details
ISBN:9781461485735 (electronic bk.)
1461485738 (electronic bk.)
9781461485728
Notes:Includes bibliographical references and index.
Description based on online resource; title from PDF title page (SpringerLink, viewed September 9, 2013).
Summary: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.
Standard no.:10.1007/978-1-4614-8573-5

MARC

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264 1 |a New York :  |b Springer,  |c 2013. 
300 |a 1 online resource (xxiii, 229 pages) :  |b illustrations. 
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505 0 0 |t Overview of Research Process --  |t Data and Its Acquisition --  |t Summarizing Data with Descriptive Statistics --  |t Probability Theory --  |t Statistical Inference --  |t Statistical Approaches for Nominal Data --  |t Comparing Means Across Multiple Groups --  |t Correlation and Simple Regression --  |t Introduction to Multiple Regression --  |t Presenting Results of Statistical Analysis --  |t Conclusion --  |t Statistical Tables --  |t Answers to Selected Exercises. 
504 |a Includes bibliographical references and index. 
520 |a 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. 
588 |a Description based on online resource; title from PDF title page (SpringerLink, viewed September 9, 2013). 
650 0 |a Social sciences  |x Statistical methods.  |0 http://id.loc.gov/authorities/subjects/sh85124018 
650 2 4 |a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. 
650 2 4 |a Statistical Theory and Methods. 
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