000			07239cam a2200409 i 4500
005			20221101221628.0
008			150324s2015 caua b 001 0 eng d
010			_a 2015300705
011			_aBIB MATCHES WORLDCAT
020			_a1483334333 _qpaperback
020			_a9781483334332 _qpaperback
035			_a(ATU)b14098908
035			_a(OCoLC)900622647
040			_aYDXCP _beng _erda _cYDXCP _dDLC _dCHVBK _dOCLCF _dATU
042			_alccopycat
050	0	0	_aHA31.2 _b.B55 2015
082	0	4	_a300.723 _223
100	1		_aBlair, Edward, _d1923- _eauthor. _9825068
245	1	0	_aApplied survey sampling / _cEdward Blair, Johnny Blair.
264		1	_aThousand Oaks, California. : _bSAGE, _c[2015]
264		4	_c©2015
300			_axv, 251 pages : _billustrations ; _c23 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aSection I. Sampling Basics -- Section II. Sample Size And Sample Efficiency -- Section III. Additional Topics In Sampling -- --
505	0	0	_gSection I. _tSampling Basics -- -- _g1. _tIntroduction to Sampling -- _g1.1. _tIntroduction -- _g1.2. _tA Brief History of Sampling -- _g1.3. _tSampling Concepts -- _g1.3.1. _tSources of Research Error -- _g1.3.2. _tProbability versus Nonprobability Samples -- _g1.4. _tGuidelines for Good Sampling -- _g1.5. _tChapter Summary and Overview of Book -- -- _g2. _tDefining and Framing the Population -- _g2.1. _tDefining the Population -- _g2.1.1. _tDefining Population Units -- _g2.1.2. _tSetting Population Boundaries -- _g2.2. _tFraming the Population -- _g2.2.1. _tObtaining a List -- _g2.2.2. _tProblems With Lists -- _g2.2.3. _tCoping With Omissions -- _g2.2.4. _tCoping With Ineligibles -- _g2.2.5. _tCoping With Duplications -- _g2.2.6. _tCoping With Clustering -- _g2.2.7. _tFraming Populations Without a List -- _g2.3. _tChapter Summary -- -- _g3. _tDrawing the Sample and Executing the -- _g3.1. _tDrawing the Sample -- _g3.1.1. _tSimple Random Sampling -- _g3.1.2. _tSystematic Sampling -- _g3.1.3. _tPhysical Sampling -- _g3.2. _tExecuting the Research -- _g3.2.1. _tControlling Nonresponse Bias -- _g3.2.2. _tCalculating Response Rates -- _g3.3. _tChapter summary -- -- _gSection II. _tSample Size And Sample Efficiency -- -- _g4. _tSetting Sample Size -- _g4.1. _tSampling Error Illustrated -- _g4.2. _tSample Size Based on Confidence Intervals -- _g4.2.1. _tComputational Examples -- _g4.2.2. _tHow to Estimate s or p -- _g4.3. _tSample Size Based on Hypothesis Testing Power -- _g4.4. _tSample Size Based on the Value of Information -- _g4.4.1. _tWhy Information Has Value -- _g4.4.2. _tFactors Related to the Value of Information -- _g4.4.3. _tSample Size and the Value of Information -- _g4.5. _tInformal Methods for Setting Sample Size -- _g4.5.1. _tUsing Previous or Typical Sample Sizes -- _g4.5.2. _tUsing the Magic Number -- _g4.5.3. _tAnticipating Subgroup Analyses -- _g4.5.4. _tUsing Resource Limitations -- _g4.6. _tChapter Summary -- -- _g5. _tStratified Sampling -- _g5.1. _tWhen Should Stratified Samples Be Used? -- _g5.1.1. _tThe Strata Are of Direct Interest -- _g5.1.2. _tVariances Differ Across Strata -- _g5.1.3. _tCosts Differ Across Strata -- _g5.1.4. _tPrior Information Differs Across Strata -- _g5.2. _tOther Uses of Stratification -- _g5.3. _tHow to Draw a Stratified Sample -- _g5.4. _tChapter Summary -- -- _g6. _tCluster Sampling -- _g6.1. _tWhen Are Cluster Samples Appropriate? -- _g6.1.1. _tTravel Costs -- _g6.1.2. _tFixed Costs -- _g6.1.3. _tListing Costs -- _g6.1.4. _tLocating Special Populations -- _g6.2. _tIncreased Sample Variability as a Result of Clustering -- _g6.2.1. _tMeasuring Homogeneity Within Clusters -- _g6.2.2. _tDesign Effects From Clustering -- _g6.3. _tOptimum Cluster Size -- _g6.3.1. _tTypical Cluster Sizes -- _g6.4. _tDefining Clusters -- _g6.5. _tHow to Draw a Cluster Sample -- _g6.5.1. _tDrawing Clusters With Equal Probabilities -- _g6.5.2. _tDrawing Clusters With Probabilities Proportionate to Size -- _g6.5.3. _tDrawing Stratified Cluster Samples -- _g6.6. _tChapter Summary -- -- _gSection III. _tAdditional Topics In Sampling -- -- _g7. _tEstimating Population Characteristics From Samples -- _g7.1. _tWeighting Sample Data -- _g7.1.1. _tShould Data Be Weighted? -- _g7.2. _tUsing Models to Guide Sampling and Estimation -- _g7.2.1. _tExamples of Using Models -- _g7.2.2. _tUsing Models to Reduce the Variance of Estimates -- _g7.2.3. _tUsing Models to Cope With Violations of Probability Sampling Assumptions -- _g7.2.4. _tConclusions About the Use of Models -- _g7.3. _tMeasuring the Uncertainty of Estimates From Complex or Nonprobability Samples -- _g7.4. _tChapter Summary -- -- _g8. _tSampling in Special Contexts -- _g8.1. _tSampling for Online Research -- _g8.2. _tSampling Visitors to a Place -- _g8.2.1. _tSelecting Places for Intercept Research -- _g8.2.2. _tSampling Visitors Within Places -- _g8.3. _tSampling Rare Populations -- _g8.3.1. _tTelephone Cluster Sampling -- _g8.3.2. _tDisproportionate Stratified Sampling -- _g8.3.3. _tNetwork Sampling -- _g8.3.4. _tDual-Frame Sampling -- _g8.3.5. _tLocation Sampling -- _g8.3.6. _tOnline Data Collection for Rare Groups -- _g8.4. _tSampling Organizational Populations -- _g8.5. _tSampling Groups Such as Influence Groups or Elites -- _g8.6. _tPanel Sampling -- _g8.6.1. _tInitial Nonresponse in Panels -- _g8.6.2. _tDifferential Mortality Over Time -- _g8.6.3. _tPanel Aging -- _g8.6.4. _tImplications for Panel Sampling -- _g8.6.5. _tOther Issues in Panel Sampling -- _g8.7. _tSampling in International Contexts -- _g8.8. _tBig Data and Survey Sampling -- _g8.8.1. _tBig Data as a Survey Complement -- _g8.8.2. _tBig Data as a Survey Replacement -- _g8.9. _tIncorporating Smartphones, Social Media, and Technological Changes -- _g8.9.1. _tSmartphones and Surveys -- _g8.9.2. _tSocial Media and Surveys -- _g8.9.3. _tA General Framework for Incorporating New Technologies -- _g8.10. _tChapter Summary -- -- _g9. _tEvaluating Samples -- _g9.1. _tThe Sample Report -- _g9.2. _tHow Good Must the Sample Be? -- _g9.2.1. _tConcepts of Representation and Error -- _g9.2.2. _tRequirements for Sample Quality Across Research Contexts -- _g9.3. _tChapter Summary.
520			_a"Written for students and researchers who wish to understand the conceptual and practical aspects of sampling, this book is designed to be accessible without requiring advanced statistical training. It covers a wide range of topics, from the basics of sampling to special topics such as sampling rare populations, sampling organizational populations, and sampling visitors to a place. Using cases and examples to illustrate sampling principles and procedures, the book thoroughly covers the fundamentals of modern survey sampling, and addresses recent changes in the survey environment such as declining response rates, the rise of Internet surveys, the need to accommodate cell phones in telephone surveys, and emerging uses of social media and big data."--Publisher's website.
650		0	_aSampling (Statistics) _9323577
650		0	_aSocial surveys _xMethodology _9371046
700	1		_aBlair, Johnny, _eauthor. _9822316
907			_a.b14098908 _b11-07-17 _c28-10-15
942			_cB
945			_a300.723 BLA _g1 _iA556517B _j0 _lcmain _o- _p$71.28 _q- _r- _s- _t0 _u4 _v4 _w0 _x3 _y.i13438402 _z29-10-15
998			_ab _ac _b06-04-16 _cm _da _feng _gcau _h0
999			_c1285119 _d1285119