000			03430cam a2200457 i 4500
999			_c200436056 _d54268
001			200436056
003			TR-AnTOB
005			20210414163242.0
007			ta
008			931014s1994 njua b 001 0 eng
010			_a93039283
020			_a0691034702 (cloth : alk. paper)
020			_a9780691034706 (cloth : alk. paper)
020			_a0691034710 (pbk. : alk. paper)
020			_a9780691034713 (pbk. : alk. paper)
040			_aDLC _beng _cDLC _dUKM _dEL$ _dUBA _dBAKER _dNLGGC _dBTCTA _dLVB _dYDXCP _dRMC _dOCLCG _dTBS _dAU@ _dKAAUA _dCDX _dGEBAY _dEXW _dOCLCQ _dDEBSZ _dDEBBG _dALAUL _dBDX _dOCLCF _dTR-AnTOB _erda
041	0		_aeng
050	0	4	_aH61 _b.K56 1994
090			_aH61 _b.K56 1994
100	1		_aKing, Gary _d1958- _eauthor _9125594
245	1	0	_aDesigning social inquiry : _bscientific inference in qualitative research / _cGary King, Robert O. Keohane, Sidney Verba.
246	3	0	_aScientific inference in qualitative research
264		1	_aPrinceton, N.J. : _bPrinceton University Press, _c1994.
264		4	_c©1994
300			_axi, 247 pages : _billustrations ; _c24 cm
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
490	0		_aPrinceton paperbacks
504			_aIncludes bibliographical references (p. [231]-238) and index.
505	0		_aThe Science in Social Science -- Descriptive Inference -- Causality and Causal Inference -- Determining What to Observe -- Understanding What to Avoid -- Increasing the Number of Observations.
520			_aWhile heated arguments between practitioners of qualitative and quantitative research have begun to test the very integrity of the social sciences, Gary King, Robert Keohane, and Sidney Verba have produced a farsighted and timely book that promises to sharpen and strengthen a wide range of research performed in this field. These leading scholars, each representing diverse academic traditions, have developed a unified approach to valid descriptive and causal inference in qualitative research, where numerical measurement is either impossible or undesirable. Their book demonstrates that the same logic of inference underlies both good quantitative and good qualitative research designs, and their approach applies equally to each. Providing precepts intended to stimulate and discipline thought, the authors explore issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. Among the specific topics they address are interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. Mathematical notation is occasionally used to clarify concepts, but no prior knowledge of mathematics or statistics is assumed. The unified logic of inference that this book explicates will be enormously useful to qualitative researchers of all traditions and substantive fields. -- Publisher description.
650		0	_aInference _9125595
650		0	_aQualitative research _9125596
650		0	_aSocial sciences _xMethodology _96183
650		0	_aSocial sciences _xResearch _91051
700	1		_aKeohane, Robert O., _q(Robert Owen), _d1941- _930771
700	1		_aVerba, Sidney _9125597
942			_2lcc _cBK