Examining Changes in Filter Question (FQ) Reporting in the Consumer Expenditure Quarterly Interview Survey

نویسنده

  • Brett McBride
چکیده

The survey design involving a screener or filter question followed by a series of more detailed questions is used in many surveys. A concern in these surveys is that respondents may learn that reporting a certain answer to a filter question will extend the interview through a series of follow-up questions and thus will alter their responses in a way that avoids their exposure to follow-up questions. Alternatively, the cumulative cognitive burden experienced by respondents after answering many survey questions may be a principal factor in respondent satisficing, and thus measurement error, toward the end of surveys. The exploratory research described in this paper identifies changes in response patterns to filter questions in the Consumer Expenditure Quarterly Interview Survey (CEQ). A model is used to examine the role of respondent characteristics and interview burden measures on declining filter question endorsement rates. Aside from interview content, this research found that respondent characteristics impacting cognitive burden had effects on a declining trend in filter question endorsement rates.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Correlates of Data Quality in the Consumer Expenditure Quarterly Interview Survey

The Consumer Expenditure Quarterly Interview Survey (CEQ) is an ongoing panel survey which collects detailed expenditure information from a national sample of households. High data quality is essential to accurately reflect the spending habits of American consumers. This study examines CEQ data quality in terms of the editing required during the data processing phase. Editing methods include im...

متن کامل

Latent Class Analysis of Measurement Error in the Consumer Expenditure Survey

Previous research by Tucker et al. (2010), working with the Consumer Expenditure Survey (CE), explores the factor structure of measurement error indicators such as: interview length, extent and type of records used, the monthly patterns of reporting, reporting of income, attempt history information, and response behavior across multiple interviews in a latent class model. Findings from this res...

متن کامل

Latent Class Analysis of Consumer Expenditure Reports

Previous research by Tucker et al. (2007), working with the Consumer Expenditure Interview Survey (CE), explores the efficacy of measurement error indicators such as: interview length, extent and type of records used, the monthly patterns of reporting, and income question missing in a latent construct. Later research by Tucker, Meekins, and Biemer (2008) extend this latent class model to includ...

متن کامل

A Microlevel Latent Class Model for Measurement Error in the Consumer Expenditure Interview Survey

Previous research by Tucker et al. (2005) and Tucker et al. (2006) attempts to identify a latent construct that predicts the amount of measurement error in expenditure reports on the Consumer Expenditure Interview Survey (CEIS). While this work was successful in identifying a construct that predicts measurement error in expenditure reports, it is more sensitive to falsely negative reports of th...

متن کامل

Reclassifying Low- Expenditure Consumer Units in the Consumer Expenditure Interview Survey

O ne of the primary uses of data from the Consumer Expenditure Survey (CE) is the computation of weights representing the purchases of goods and services in the construction of the Consumer Price Index (CPI), a principal Federal economic indicator. Accurate representation of actual expenditures is thus critically important beyond usual data quality standards. The CE processing system has severa...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014