Using statistics in social research a concise approach

"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, wit...

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Main Author: Lynch, Scott M. (Scott Michael) (Author)
Format: Book
Language:English
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020 |a 9781461485728 (hbk) 
020 |a 146148572X (hbk) 
020 |z 9781461485735 (ebk) 
039 9 |a 202211041249  |b VLOAD  |c 202105100809  |d rafizah  |y 202011101231  |z helmey 
040 |a UPNM  |b eng  |c UPNM  |e rda 
090 |a HA 29  |b .L98 2013 
100 1 |a Lynch, Scott M. (Scott Michael)  |e author 
245 1 0 |a Using statistics in social research  |b a concise approach  |c Scott M. Lynch 
264 |a New York  |b Springer  |c 2013 
264 |c © 2013 
300 |a xxiii, 229 pages  |b illustrations  |c 25 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index 
505 0 |a Introduction -- Overview of the research process -- Data and its acquisition -- Summarizing data with descriptive statistics -- Probability theory -- Statistical inference -- Statistical approaches for nomimal data: Chi-square tests -- Comparing means across multiple groups: analysis of variance (ANOVA) -- Correlation and simple regression -- Introduction to multiple regression -- Presenting results of statistical analysis 
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."--Publisher's description 
592 |a 00023014  |b 22/12/2020  |c RM 314.93  |h CHC Book Distributors 
650 0 |a Social sciences  |x Statistical methods 
650 0 |a Social sciences  |x Research 
999 |a vtls000067464  |c 87234  |d 87234