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Produktbild: Improving Surveys with Paradata

Improving Surveys with Paradata Analytic Uses of Process Information

Aus der Reihe Wiley Series in Survey Methodology

99,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.03.2018

Abbildungen

Tables: 75 B&W, 0 Color; Graphs: 50 B&W, 0 Color

Herausgeber

Frauke Kreuter

Verlag

John Wiley & Sons

Seitenzahl

416

Maße (L/B/H)

23,4/15,6/2,2 cm

Gewicht

632 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-0-470-90541-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.03.2018

Abbildungen

Tables: 75 B&W, 0 Color; Graphs: 50 B&W, 0 Color

Herausgeber

Frauke Kreuter

Verlag

John Wiley & Sons

Seitenzahl

416

Maße (L/B/H)

23,4/15,6/2,2 cm

Gewicht

632 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-0-470-90541-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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Die Leseprobe wird geladen.
  • Produktbild: Improving Surveys with Paradata
  • 1 Improving Surveys with Paradata: Introduction 1
    Frauke Kreuter
     
    1.1 Introduction 1
     
    1.2 Paradata and Metadata 3
     
    1.3 Auxiliary Data and Paradata 4
     
    1.4 Paradata in the Total Survey Error Framework 4
     
    1.5 Paradata in Survey Production 5
     
    1.6 Special Challenges in the Collection and Use of Paradata 7
     
    1.7 Future of Paradata 8
     
    PART I PARADATA AND SURVEY ERRORS
     
    2 Paradata for Nonresponse Error Investigation 3
    Frauke Kreuter and Kristen Olson
     
    2.1 Introduction 3
     
    2.2 Sources of Paradata 4
     
    2.3 Nonresponse Rates and Nonresponse Bias 10
     
    2.4 Paradata and Responsive Designs 20
     
    2.5 Paradata and Nonresponse Adjustment 21
     
    2.6 Issues in Practice 22
     
    2.7 Summary and Take Home Messages 24
     
    3 Collecting Paradata for Measurement Error Evaluations 33
    Kristen Olson and Bryan Parkhurst
     
    3.1 Introduction 33
     
    3.2 Paradata and Measurement Error 34
     
    3.3 Types of paradata 38
     
    3.4 Differences in Paradata by Modes 45
     
    3.5 Turning paradata into data sets 51
     
    3.6 Summary 55
     
    4 Analyzing Paradata to Investigate Measurement Error 63
    Ting Yan and Kristen Olson
     
    4.1 Introduction 63
     
    4.2 Review of Empirical Literature on the Use of Paradata for Measurement Error Investigation 64
     
    4.3 Analyzing paradata 66
     
    4.4 Four empirical examples 73
     
    4.5 Cautions 81
     
    4.6 Concluding Remarks 82
     
    5 Paradata for Coverage Research 89
    Stephanie Eckman
     
    5.1 Introduction 89
     
    5.2 Housing Unit Frames 93
     
    5.3 Telephone Number Frames 101
     
    5.4 Household Rosters 103
     
    5.5 Population Registers 105
     
    5.6 Subpopulation Frames 106
     
    5.7 Web Surveys 106
     
    5.8 Conclusion 107
     
    PART II PARADATA IN SURVEY PRODUCTION
     
    6 Design and Management Strategies for Paradata-Driven Responsive Design 117
    Nicole G. Kirgis and James M. Lepkowski
     
    6.1 Introduction 117
     
    6.2 From Repeated Cross-Section to Continuous Design 118
     
    6.3 Paradata Design 123
     
    6.4 Key Design Change 1: A New Employment Model 128
     
    6.5 Key Design Change 2: Field Efficient Sample Design 130
     
    6.6 Key Design Change 3: Replicate Sample Design 131
     
    6.7 Key Design Change 4: Responsive Design Sampling of Nonrespondents in a Second Phase 132
     
    6.8 Key Design Change 5: Active Responsive Design Interventions 134
     
    6.9 Concluding Remarks 135
     
    7 Using Paradata-Driven Models to Improve Contact Rates 141
    James Wagner
     
    7.1 Introduction 141
     
    7.2 Background 142
     
    7.3 The Survey Setting 144
     
    7.4 Experiments: Data and Methods 145
     
    7.5 Experiments: Results 157
     
    7.6 Discussion 162
     
    8 Using Paradata to Study Response to Within-Survey Requests 169
    Joseph W. Sakshaug
     
    8.1 Introduction 169
     
    8.2 Consent to Link Survey and Administrative Records 173
     
    8.3 Consent to Collect Biomeasures in Population-Based Surveys 177
     
    8.4 Switching Data Collection Modes 179
     
    8.5 Income Item Nonresponse and Quality of Income Reports 181
     
    8.6 Summary 185
     
    9 Managing Data Quality Indicators with Paradata-Based Statistical Quality Control Tools 191
    Matt Jans, Robyn Sirkis and David Morgan
     
    9.1 Introduction 191
     
    9.2 Defining and Choosing Key Performance Indicators (KPIs) 193
     
    9.3 KPI Displays and the Enduring Insight of Walter Shewhart 201
     
    9.4 Implementation Steps for Survey Analytic Quality Control with Paradata Control Charts 212
     
    9.5