Optimizing a Web Survey Instrument using Paradata Measures Renee - - PowerPoint PPT Presentation

optimizing a web survey instrument using paradata measures
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Optimizing a Web Survey Instrument using Paradata Measures Renee - - PowerPoint PPT Presentation

Optimizing a Web Survey Instrument using Paradata Measures Renee Reeves, Rachel Horwitz, Jordan Misra, Adriana Hernandez-Viver U.S. Census Bureau AAPORs 73 rd Annual Conference May 19, 2018 This presentation is released to inform interested


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Optimizing a Web Survey Instrument using Paradata Measures

Renee Reeves, Rachel Horwitz, Jordan Misra, Adriana Hernandez-Viver U.S. Census Bureau AAPOR’s 73rd Annual Conference May 19, 2018

This presentation is released to inform interested parties of ongoing research and to encourage discussion of work in progress. The views expressed are those of the author and not necessarily those of the U.S. Census Bureau.

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Paradata

  • Data about a respondent’s interactions with the web

instrument that are collected during the response process

  • Captures each action the respondent makes
  • Measures
  • Completion times, breakoffs, error messages, previous clicks, and

changed answers

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Research Background

  • Conducted research using paradata in prior survey cycles and

provided recommendations

  • Subset of the recommendations were implemented in 2017

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Research Question/Methodology

Did the changes to the web instrument successfully resolve the issues identified from the 2015 paradata analysis?

  • Method: Nominally compare the problematic measures in 2015 to

2017 for screens with changes

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The National Survey of College Graduates (NSCG)

  • Longitudinal, biennial survey
  • Two cohorts: new and returning
  • Sponsored by the National Center for Science and Engineering

Statistics within the National Science Foundation

  • Data collection conducted by the U.S. Census Bureau
  • Provides data about the characteristics of the college-educated

workforce

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Changes Implemented

  • Removed introduction screen
  • Eliminated follow-up screens for “Other” selection
  • Simplified complex “Select all that apply” question
  • Reduced the amount of contact information requested

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Login/Introduction – 2015

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High Breakoff Rate

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Login/Introduction – 2017

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Results - Overall

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New Cohort Old Cohort 2015 7.7% 4.2% 2017 0.5% 1.0% Change

  • 7.2%
  • 3.2%

Percentage of Respondents who Broke-off

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Results – First Screen

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New Cohort Old Cohort 2015 (Intro) 13.7% 15.0% 2017 (VerifyName) 1.4% 2.9% Change

  • 12.3%
  • 12.1%

Percentage of All Breakoffs on the First Screen

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Other, Specify – 2015

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High

  • Previous Clicks
  • Completion Time
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Other, Specify - 2017

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Results - Overall

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New Cohort Old Cohort 2015 68.2% 64.5% 2017 61.4% 52.4% Change

  • 6.8%
  • 12.1%

Percentage of Respondents who Clicked Previous

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SLIDE 14

Results – Other, Specify

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Median Completion Times

2015 2017

Old Cohort

Other, Specify

10 20 30 40 50 60 70 80 2015 2017

Seconds

New Cohort

Main Screen

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Select all that apply in each column - 2015

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High

  • Completion Time
  • Changed Answers
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Select all that apply - 2017

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Select all that apply - 2017

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Results – Select all that apply

18 10 20 30 40 50 60 2015 2017

Seconds

New Cohort

Undergraduate 2015 2017

Old Cohort

Graduate

Median Completion Times

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Screen New Cohort Old Cohort Undergraduate 11.6% 13.0% Graduate 8.5% 6.5%

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Results – Select all that apply

Percent of Respondent Visits with a Changed Answer - 2017

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Contact Information – 2015

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High

  • Completion Times
  • Error Messages
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Contact Information – 2017

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Results – Contact Information

58 55 44 43

10 20 30 40 50 60 70 New Old

Seconds

Median Completion Time

2015 2017

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Results – Contact Information

19 36 25 29

5 10 15 20 25 30 35 40 New Old

%

Percent of All Error Messages

2015 2017

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Takeaways/Further Research

  • Overall reduction in completion times, previous clicks

and breakoff rates

  • Further Research:
  • Complete remaining analysis of page-level measures for
  • ther screens with and without changes in 2017
  • Analysis of overall error rates and changed answer rates
  • Monitor future cycles to evaluate instrument changes and

identify additional issues

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Thank You!

Renee Reeves Survey Methodology Demographic Statistical Methods Division U.S. Census Bureau renee.reeves@census.gov 301-763-4679

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