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LEADER 03191cam 2200565 a 4500

001 ocn755978943;

003 OCoLC;

005 20141212031849.0;

008 110615s2012 enka b 001 0 eng d;

010 a| 2011932180;

016 7 a| 0159524222| Uk;

019 a| 755978947;

020 a| 1849203326;

020 a| 9781849203326;

020 a| 1849203318;

020 a| 9781849203319;

029 1 a| AU@b| 000049048637;

029 1 a| NZ1b| 14195610;

035 a| (Sirsi) 99949679360;

035 a| (OCoLC)755978943;

035 a| 99949679360;

042 a| lccopycat;

049 a| EREE;

050 00 a| HM538b| .B57 2012;

082 04 a| 001.4332| 23;

100 1 a| Blasius, Jörg,d| 1957-=| ^A356543;

245 10 a| Assessing the quality of survey data /c| Jörg Blasius & Victor Thiessen.;

260 a| London ;a| Thousand Oaks, Calif. :b| Sage Publications Ltd,c| 2012.;

300 a| xi, 174 pages :b| illustrations ;c| 25 cm;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

520 a| "This book introduces the latest methods for assessing the quality and validity of survey data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors show how to detect all manner of non-substantive variation from response styles including acquiescence, respondents' failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews."--Publisher's website.;

504 a| Includes bibliographical references (p. [164]-172) and index.;

505 0 a| Conceptualizing data quality : respondent attributes, study architecture, and institutional practices -- Empirical findings on quality and comparability of survey data -- Statistical techniques for data screening -- Institutional quality control practices -- Substantive or methodology-induced factors? : a comparison of PCA, CatPCA, and MCA solutions -- Item difficulty and response quality -- Questionnaire architecture -- Cognitive competencies and response quality.;

650 0 a| Social surveysx| Methodology.=| ^A125384;

650 0 a| Social sciencesx| Statistical methods.=| ^A4814;

650 0 a| Social sciencesx| Researchx| Methodology.=| ^A150563;

650 0 a| Correspondence analysis (Statistics)=| ^A291068;

700 1 a| Thiessen, Victor.=| ^A1117246;

938 a| Coutts Information Servicesb| COUTn| 18004979;

938 a| Blackwell Book Serviceb| BBUSn| 100580129;

938 a| YBP Library Servicesb| YANKn| 100580128;

949 a| HM538 .B57 2012h| Joyner48i| 30372013863532o| jjlm;

910 a| PromptCat;

994 a| 92b| ERE;

596 a| 1;

998 a| 3093859;

999 a| HM538 .B57 2012w| LCc| 1i| 30372013863532d| 2/12/2025l| JGESm| JOYNERq| 1r| Ys| Yt| JGESBKu| 9/6/2012x| BOOKz| JSTACKSo| .STAFF. jjlm;

Assessing the quality of survey data / Jörg Blasius & Victor Thiessen.

Author/creator	Blasius, Jörg, 1957-
Other author	Thiessen, Victor.
Format	Book
Publication Info	London ; Thousand Oaks, Calif. : Sage Publications Ltd, 2012.
Description	xi, 174 pages : illustrations ; 25 cm
Subjects	Social surveys--Methodology. Social sciences--Statistical methods. Social sciences--Research. --Methodology. Correspondence analysis (Statistics)

Contents	Conceptualizing data quality : respondent attributes, study architecture, and institutional practices -- Empirical findings on quality and comparability of survey data -- Statistical techniques for data screening -- Institutional quality control practices -- Substantive or methodology-induced factors? : a comparison of PCA, CatPCA, and MCA solutions -- Item difficulty and response quality -- Questionnaire architecture -- Cognitive competencies and response quality.
Abstract	"This book introduces the latest methods for assessing the quality and validity of survey data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors show how to detect all manner of non-substantive variation from response styles including acquiescence, respondents' failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews."--Publisher's website.
Bibliography note	Includes bibliographical references (p. [164]-172) and index.
LCCN	2011932180
ISBN	1849203326
ISBN	9781849203326
ISBN	1849203318
ISBN	9781849203319

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Assessing the quality of survey data / Jörg Blasius & Victor Thiessen.

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