000			03390nam a22004215i 4500
001			978-1-4614-8573-5
003			DE-He213
005			20140220082832.0
007			cr nn 008mamaa
008			130906s2013 xxu| s |||| 0|eng d
020			_a9781461485735 _9978-1-4614-8573-5
024	7		_a10.1007/978-1-4614-8573-5 _2doi
050		4	_aQA276-280
072		7	_aJHBC _2bicssc
072		7	_aSOC027000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aLynch, Scott M. _eauthor.
245	1	0	_aUsing Statistics in Social Research _h[electronic resource] : _bA Concise Approach / _cby Scott M. Lynch.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aXXIII, 229 p. 44 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPreface -- List of Symbols -- Contents -- List of Figures -- List of Tables -- Introduction -- Overview of Research Process -- Data and Its Acquisition -- Summarizing Data with Descriptive Statistics -- Probability Theory -- Statistical Inference -- Statistical Approaches for Nominal Data -- Comparing Means Across Multiple Groups -- Correlation and Simple Regression -- Introduction to Multiple Regression -- Presenting Results of Statistical Analysis -- Conclusion -- Statistical Tables -- Answers to Selected Exercises -- References -- Index.
520			_aThis 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.
650		0	_aStatistics.
650		0	_aMathematical statistics.
650	1	4	_aStatistics.
650	2	4	_aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650	2	4	_aStatistical Theory and Methods.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461485728
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-8573-5
912			_aZDB-2-SMA
999			_c96069 _d96069