MARC Record from marc_columbia

LEADER: 03740cam a2200445 a 4500
001 4052353
005 20221027024844.0
008 931014t19941994nju b 001 0 eng
010 $a 93039283
020 $a0691034702 (cloth : alk. paper) :$c$55.00
020 $a0691034710 (pbk. : alk. paper) :$c$19.95
035 $a(OCoLC)29225092
035 $a(OCoLC)ocm29225092
035 $9ALT5712HS
035 $a(NNC)4052353
035 $a4052353
040 $aDLC$cDLC$dNNC
050 00 $aH61$b.K5437 1994
082 00 $a300/.72$220
100 1 $aKing, Gary.$0http://id.loc.gov/authorities/names/n2004042226
245 10 $aDesigning social inquiry :$bscientific inference in qualitative research /$cGary King, Robert O. Keohane, Sidney Verba.
260 $aPrinceton, N.J. :$bPrinceton University Press,$c[1994], ©1994.
263 $a9404
300 $axi, 245 pages ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. [231]-238) and index.
505 0 $a1. The Science in Social Science -- 2. Descriptive Inference -- 3. Causality and Causal Inference -- 4. Determining What to Observe -- 5. Understanding What to Avoid -- 6. Increasing the Number of Observations.
520 $aAt a moment when acute disagreement among scholars over the appropriateness of qualitative and quantitative research methods threatens to undermine the validity and coherence of the social sciences, Gary King, Robert Keohane, and Sidney Verba have written a timely and far-sighted book that develops a unified approach to valid descriptive and causal inference. They illuminate the logic of good quantitative and good qualitative research designs and demonstrate that the two do not fundamentally differ.
520 8 $aDesigning Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions?
520 8 $aHow would you know if you were wrong?
520 8 $aDesigning Social Inquiry focuses on research in political science, but the authors' analyses apply much more widely. A political scientist conducting a small number of intensive case studies of Eastern European states; a sociologist interested in discovering the causes of social revolution; an education scholar conducting in-depth interviews of teachers in face-to-face settings; an anthropologist participating in and observing a newly discovered subculture; a lawyer studying the deterrent effects of capital punishment - these, and many other scholars and professionals in the social sciences, will come to rely on Designing Social Inquiry as an incomparable sourcebook on the logic and design of research.
650 0 $aSocial sciences$xMethodology.$0http://id.loc.gov/authorities/subjects/sh85124011
650 0 $aSocial sciences$xResearch.$0http://id.loc.gov/authorities/subjects/sh85124014
650 0 $aInference.$0http://id.loc.gov/authorities/subjects/sh85066082
650 2 $aSocial Sciences.$0https://id.nlm.nih.gov/mesh/D012942
650 2 $aResearch.$0https://id.nlm.nih.gov/mesh/D012106
700 1 $aKeohane, Robert O.$q(Robert Owen),$d1941-$0http://id.loc.gov/authorities/names/n83311556
700 1 $aVerba, Sidney.$0http://id.loc.gov/authorities/names/n79063183
852 00 $boff,hsl$hH61$i.K5437 1994