LEADER 04973nam 2200673 a 450 001 9910143185303321 005 20170815120148.0 010 $a1-280-36627-3 010 $a9786610366279 010 $a0-470-30177-5 010 $a0-471-45872-4 010 $a0-471-45874-0 035 $a(CKB)111087027110024 035 $a(EBL)157092 035 $a(OCoLC)52626901 035 $a(SSID)ssj0000182953 035 $a(PQKBManifestationID)11199631 035 $a(PQKBTitleCode)TC0000182953 035 $a(PQKBWorkID)10173302 035 $a(PQKB)11602878 035 $a(MiAaPQ)EBC157092 035 $a(EXLCZ)99111087027110024 100 $a20030514d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to survey quality$b[electronic resource] /$fPaul P. Biemer, Lars E. Lyberg 210 $aHoboken, NJ. $cWiley$dc2003 215 $a1 online resource (420 p.) 225 1 $aWiley series in survey methodology 300 $aDescription based upon print version of record. 311 $a0-471-19375-5 320 $aIncludes bibliographical references (p. 377-395) and index. 327 $aIntroduction to Survey Quality; Contents; Preface; 1. The Evolution of Survey Process Quality; 1.1. The Concept of a Survey; 1.2. Types of Surveys; 1.3. Brief History of Survey Methodology; 1.4. The Quality Revolution; 1.5. Definitions of Quality and Quality in Statistical Organizations; 1.6. Measuring Quality; 1.7. Improving Quality; 1.8. Quality in a Nutshell; 2. The Survey Process and Data Quality; 2.1. Overview of the Survey Process; 2.2. Data Quality and Total Survey Error; 2.3. Decomposing Nonsampling Error into Its Component Parts; 2.4. Gauging the Magnitude of Total Survey Error 327 $a2.5. Mean Squared Error2.6. Illustration of the Concepts; 3. Coverage and Nonresponse Error; 3.1. Coverage Error; 3.2. Measures of Coverage Bias; 3.3. Reducing Coverage Bias; 3.4. Unit Nonresponse Error; 3.5. Calculating Response Rates; 3.6. Reducing Nonresponse Bias; 4. The Measurement Process and Its Implications for Questionnaire Design; 4.1. Components of Measurement Error; 4.2. Errors Arising from the Questionnaire Design; 4.3. Understanding the Response Process; 5. Errors Due to Interviewers and Interviewing; 5.1. Role of the Interviewer; 5.2. Interviewer Variability 327 $a5.3. Design Factors that Influence Interviewer Effects5.4. Evaluation of Interviewer Performance; 6. Data Collection Modes and Associated Errors; 6.1. Modes of Data Collection; 6.2. Decision Regarding Mode; 6.3. Some Examples of Mode Effects; 7. Data Processing: Errors and Their Control; 7.1. Overview of Data Processing Steps; 7.2. Nature of Data Processing Error; 7.3. Data Capture Errors; 7.4. Post-Data Capture Editing; 7.5. Coding; 7.6. File Preparation; 7.7. Applications of Continuous Quality Improvement: The Case of Coding; 7.8. Integration Activities 327 $a8. Overview of Survey Error Evaluation Methods8.1. Purposes of Survey Error Evaluation; 8.2. Evaluation Methods for Designing and Pretesting Surveys; 8.3. Methods for Monitoring and Controlling Data Quality; 8.4. Postsurvey Evaluations; 8.5. Summary of Evaluation Methods; 9. Sampling Error; 9.1. Brief History of Sampling; 9.2. Nonrandom Sampling Methods; 9.3. Simple Random Sampling; 9.4. Statistical Inference in the Presence of Nonsampling Errors; 9.5. Other Methods of Random Sampling; 9.6. Concluding Remarks; 10. Practical Survey Design for Minimizing Total Survey Error 327 $a10.1. Balance Between Cost, Survey Error, and Other Quality Features10.2. Planning a Survey for Optimal Quality; 10.3. Documenting Survey Quality; 10.4. Organizational Issues Related to Survey Quality; References; Index 330 $aPeruse the history of survey research and the essential concepts for data quality. With an emphasis on total survey error, the authors review principles and concepts in the field and examine important unresolved issues in survey methods. Spanning a range of topics dealing with the quality of data collected through the survey process, they focus on such key issues as: Major sources of survey error, examining the origins of each error source most successful methods for reducing errors from those sourcesMethods most often used in practice for evaluating the effects of the source on 410 0$aWiley series in survey methodology. 606 $aSampling (Statistics) 606 $aSurveys$xEvaluation 608 $aElectronic books. 615 0$aSampling (Statistics) 615 0$aSurveys$xEvaluation. 676 $a001.4/33 676 $a001.433 676 $a519.5 700 $aBiemer$b Paul P$0175373 701 $aLyberg$b Lars$0117253 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143185303321 996 $aIntroduction to survey quality$9750474 997 $aUNINA LEADER 04050nam 22007452 450 001 9910791783903321 005 20160418143356.0 010 $a1-107-22080-7 010 $a1-139-01247-9 010 $a1-283-01599-4 010 $a9786613015990 010 $a1-139-01168-5 010 $a1-139-01194-4 010 $a1-139-01115-4 010 $a1-139-01088-3 010 $a0-511-97682-8 010 $a1-139-01141-3 035 $a(CKB)2560000000061394 035 $a(EBL)667616 035 $a(OCoLC)707068374 035 $a(SSID)ssj0000467933 035 $a(PQKBManifestationID)12140875 035 $a(PQKBTitleCode)TC0000467933 035 $a(PQKBWorkID)10490808 035 $a(PQKB)10346763 035 $a(UkCbUP)CR9780511976827 035 $a(MiAaPQ)EBC667616 035 $a(Au-PeEL)EBL667616 035 $a(CaPaEBR)ebr10452906 035 $a(CaONFJC)MIL301599 035 $a(EXLCZ)992560000000061394 100 $a20101012d2011|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCongress in black and white $erace and representation in Washington and at home /$fChristian R. Grose$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2011. 215 $a1 online resource (xiv, 242 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-17701-4 311 $a1-107-00351-2 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: 1. African-American legislators, African-American districts, or democrats?; 2. A unified theory of African-American representation in Congress; 3. The "hollow hope" of civil rights change in the US House; 4. Location, location, location: delivering constituency service to African-Americans; 5. Constituency service in the district: connecting black legislators, black staff, and black voters; 6. Bringing home the bacon: delivering federal "pork" to African-Americans; 7. The future of racial redistricting: black decisive districts. 330 $aThe symbolic importance of Barack Obama's election is without question. But beyond symbolism, does the election of African-American politicians matter? Grose argues that it does and presents a unified theory of representation. Electing African-American legislators yields more federal dollars and congressional attention directed toward African-American voters. However, race and affirmative action gerrymandering have no impact on public policy passed in Congress. Grose is the first to examine a natural experiment and exceptional moment in history in which black legislators - especially in the U.S. South - represented districts with a majority of white constituents. This is the first systematic examination of the effect of a legislator's race above and beyond the effect of constituency racial characteristics. 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