• PASS User Guide
  • Getting started with the User Guide
    • 0.1 Data access
    • 0.2 Further tools and resources
    • 0.3 Terminology
    • 0.4 Feedback
  • 1 The Evolution of PASS Over Two Decades
    • 1.1 PASS background and objectives
    • 1.2 Development of Focal Issues Over the Waves
    • 1.3 Methodological Innovations to Improve Data Quality
  • 2 PASS Survey Design and Methodology
    • 2.1 Sampling Procedure
      • 2.1.1 Sampling Design in the First Wave
      • 2.1.2 Panel Retention and Sample Refreshment
      • 2.1.3 Replenishment Samples
      • 2.1.4 Refugee Sub-samples
      • 2.1.5 Sub-samples
      • 2.1.6 Sampling Frame and Auxiliary Data for Non-response Analyses and Post-Survey Adjustments
    • 2.2 Mixed-Mode Design
    • 2.3 Respondent Incentives
    • 2.4 Call Records, Fieldwork Monitoring, and the Development towards an Adaptive Design
  • 3 PASS Survey Design and Methodology - Weighting
    • 3.1 Initial weighting process
      • 3.1.1 Stage 1: Design weights for the gross sample
      • 3.1.2 Stage 2: Modelling non-response
      • 3.1.3 Stage 3: Calibration
    • 3.2 Construction of the weights from wave 2 onwards
      • 3.2.1 Design weights for the wave \(n\) households in the \(n+1\) th wave.
      • 3.2.2 Design weights for the wave \(n + 1\) refreshment sample
      • 3.2.3 Response propensity models for panel households
      • 3.2.4 Non-response weighting for households in the wave n refreshment sample
      • 3.2.5 Propensity models for temporary drop-outs
      • 3.2.6 Integration of weights by convex combination
      • 3.2.7 Response propensity models for panel persons
      • 3.2.8 Integration of the weights to yield the total weight before calibration
      • 3.2.9 Calibration to the household weight, wave \(n + 1\), cross-section
      • 3.2.10 Calibration to the person weight, wave \(n + 1\), cross-section
      • 3.2.11 Estimating BA cross-sectional weights for non-recipient Households and Individuals
    • 3.3 Integration of weights from replenishment samples
    • 3.4 Weighting datasets and weighting variables
    • 3.5 Web-survey weighting
  • 4 Survey Instruments
    • 4.1 Questionnaire
    • 4.2 Logic of questionnaire modules within PASS
    • 4.3 Key variables across the two questionnaires
      • 4.3.1 Household interview
      • 4.3.2 Individual interview
  • 5 PASS SUF Datasets and Variables: Collection, Editing and Usage
    • 5.1 Datasets in the SUF
      • 5.1.1 Classification of Datasets in the SUF
      • 5.1.2 Description of Datasets by levels
      • 5.1.3 Additional dataset for Websurvey mode
      • 5.1.4 Temporary datasets
    • 5.2 Variables in PASS
      • 5.2.1 System variables
      • 5.2.2 Surveyed variables
      • 5.2.3 Generated variables
    • 5.3 Data Editing in PASS
      • 5.3.1 Overview of Data editing
      • 5.3.2 Structure Checks
      • 5.3.3 Filter Checks and Assignment of Standardised Codes
    • 5.4 Record Linkage to Administrative Data
  • 6 PASS in Transition - Major developments and Innovations.
    • 6.1 Additional Refugee Samples and Adaptations in Survey Languages
    • 6.2 Web survey
    • 6.3 Adaptive Design in PASS
    • 6.4 Impacts of COVID-19 Pandemic on Fieldwork, Questionnaire, Interviewer Training, and Other Areas
      • 6.4.1 Fieldwork changes
      • 6.4.2 Questionnaire Adjustments
      • 6.4.3 Interviewer Training
      • 6.4.4 Potential Implications for Data Use and Analysis
    • 6.5 Interviewer Monitoring in the PASS Study: Integration into CAPI Fieldwork
  • List of Figures
  • List of Tables
  • References
  • Imprint

PASS User Guide

List of Figures

Figure 1.1: Persons and households interviewed in PASS in each survey year (in thousand). Source: Data Report IAB.

Figure 2.1: (Sequential) Mixed mode switch survey administration of PASS

Figure 3.1: Generation of the weights for wave \(n+1\) given the weights of wave \(n\)

Figure 5.1: Variable naming scheme