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Assessing the quality of survey data /
This is a book for any researcher using any kind of survey data. It introduces the latest methods of assessing the quality and validity of such data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those der...
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| Další autoři: | |
| Médium: | Printed Book |
| Jazyk: | English |
| Vydáno: |
London ; Thousand Oaks, Calif. :
Sage Publications Ltd,
2012.
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| Témata: |
| LEADER | 02632cam a2200361 a 4500 | ||
|---|---|---|---|
| 008 | 110615s2012 enka b 001 0 eng d | ||
| 010 | |a 2011932180 | ||
| 016 | 7 | |a 015952422 |2 Uk | |
| 020 | |a 1849203318 | ||
| 020 | |a 1849203326 | ||
| 020 | |a 9781849203319 | ||
| 020 | |a 9781849203326 | ||
| 035 | |a (OCoLC)ocn755978943 | ||
| 042 | |a lccopycat | ||
| 082 | 0 | 4 | |a 001.433 |2 23 |
| 100 | 1 | |a Blasius, Jörg, | |
| 245 | 1 | 0 | |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 p. : |b ill. ; |c 25 cm. | ||
| 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. | |
| 520 | |a This is a book for any researcher using any kind of survey data. It introduces the latest methods of assessing the quality and validity of such 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 exemplify how to detect all manner of non-substantive variation having sources such as a variety of response styles including acquiescence, respondents' failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews. | ||
| 650 | 0 | |a Correspondence analysis (Statistics) | |
| 650 | 0 | |a Social sciences |x Research |x Methodology. | |
| 650 | 0 | |a Social sciences |x Statistical methods. | |
| 650 | 0 | |a Social surveys |x Methodology. | |
| 700 | 1 | |a Thiessen, Victor. | |
| 906 | |a 7 |b cbc |c copycat |d 2 |e ncip |f 20 |g y-gencatlg | ||
| 942 | |c BK | ||
| 955 | |a pc17 2011-06-15 | ||
| 955 | |b xh58 2012-06-15 z-processor |i xj06 2012-06-29 to BCCD (Telework) | ||
| 999 | |c 178103 |d 178103 | ||
| 952 | |0 0 |1 0 |4 0 |6 001_433000000000000_BLA_A |7 0 |9 197397 |a WMS |b WMS |c ST1 |d 2016-01-14 |g 0.00 |i 1105 |l 0 |o 001.433 BLA/A |p WMS1105 |r 2016-01-14 |w 2018-08-31 |y BK | ||