000			03286nam a22004097a 4500
001			sulb0080397
003			BD-SySUS
005			20240716151455.0
006			m |o d |
007			cr |||||||||||
008			240716s2019 gw |||| o |||| 0|eng
020			_a9783031345821
040			_aDLC _beng _epn _erda _cDLC _dBD-SySUS
082	0	4	_a300.1 _223 _bSTQ
100	1		_aStockemer, Daniel. _eauthor. _967530
245	1	0	_aQuantitative Methods for the Social Sciences : _bA Practical Introduction with Examples in SPSS and Stata / _cby Daniel Stockemer, Jean-Nicolas Bordeleau
250			_a1st ed. 2019.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019.
300			_a141 p.: _bill. : _c24 cm.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- The Nuts and Bolts of Empirical Social Science -- A Short Introduction to Survey Research -- Constructing a Survey -- Conducting a Survey -- Univariate Statistics -- Bivariate Statistics with Categorical Variables -- Bivariate Relationships Featuring Two Continuous Variables -- Multivariate Regression Analysis -- .
520			_aThis textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
588			_aDescription based on publisher-supplied MARC data.
650		0	_aSocial sciences. _967531
650		0	_aStatistics. _967532
650	1	4	_aMethodology of the Social Sciences. _0https://scigraph.springernature.com/ontologies/product-market-codes/X17000 _967533
650	2	4	_aStatistics and Computing/Statistics Programs. _0https://scigraph.springernature.com/ontologies/product-market-codes/S12008 _967534
650	2	4	_aStatistics for Social Sciences, Humanities, Law. _0https://scigraph.springernature.com/ontologies/product-market-codes/S17040 _967535
700	1		_a Bordeleau Jean-Nicolas _967536
776	0	8	_iPrint version: _tQuantitative methods for the social sciences : a practical introduction with examples in SPSS and stata _z9783319991177 _w(DLC) 2018957702
776	0	8	_iPrinted edition: _z9783319991177
776	0	8	_iPrinted edition: _z9783319991191
942			_2ddc _cBK
999			_c86351 _d86351