How to Reconstruct a Trend when Survey Questions Have Changed Over Time.

Many trend studies draw on survey data and compare responses to questions on the same topic that has been asked over time. A problem with such studies is that the questions often do not remain identical, due to changes in phrasing and response formats. We present ways to deal with this problem usin...

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Main Authors: Tineke de Jonge, Akiko Kamesaka, Ruut Veenhoven
Format: Article
Language:English
Published: European Survey Research Association 2021-04-01
Series:Survey Research Methods
Subjects:
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/7725
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author Tineke de Jonge
Akiko Kamesaka
Ruut Veenhoven
author_facet Tineke de Jonge
Akiko Kamesaka
Ruut Veenhoven
author_sort Tineke de Jonge
collection DOAJ
description Many trend studies draw on survey data and compare responses to questions on the same topic that has been asked over time. A problem with such studies is that the questions often do not remain identical, due to changes in phrasing and response formats. We present ways to deal with this problem using trend data on life satisfaction in Japan as an illustrative case. Life satisfaction has been measured in the Life in Nation survey in Japan since 1958 and the question used has been changed several times. We looked at three methods published by scholars who tried to reconstruct a main trend in life satisfaction from these broken time-series, coming to different conclusions. In this paper we discuss their methods and present two new techniques for dealing with changes in survey questions on the same topic.  
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spelling doaj.art-740938e17ac84f08a803eef042369d552022-12-22T03:44:35ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612021-04-0115110.18148/srm/2021.v15i1.7725How to Reconstruct a Trend when Survey Questions Have Changed Over Time. Tineke de Jonge0Akiko Kamesaka1Ruut Veenhoven2Erasmus University Rotterdam, The Netherlands, Erasmus Happiness Economics Research OrganizationAoyama Gakuin University, Japan, School of Business Administration and Former Visiting Research Fellow, Economic and Social Research Institute (ESRI), Cabinet Office, Government of Japan, JapanErasmus University Rotterdam, The Netherlands, Erasmus Happiness Research Organization and North-West University South-Africa, Opentia Research Program Many trend studies draw on survey data and compare responses to questions on the same topic that has been asked over time. A problem with such studies is that the questions often do not remain identical, due to changes in phrasing and response formats. We present ways to deal with this problem using trend data on life satisfaction in Japan as an illustrative case. Life satisfaction has been measured in the Life in Nation survey in Japan since 1958 and the question used has been changed several times. We looked at three methods published by scholars who tried to reconstruct a main trend in life satisfaction from these broken time-series, coming to different conclusions. In this paper we discuss their methods and present two new techniques for dealing with changes in survey questions on the same topic.   https://ojs.ub.uni-konstanz.de/srm/article/view/7725Trend analysisresponse scale homogenizationsurvey questionshappinesslife satisfaction
spellingShingle Tineke de Jonge
Akiko Kamesaka
Ruut Veenhoven
How to Reconstruct a Trend when Survey Questions Have Changed Over Time.
Survey Research Methods
Trend analysis
response scale homogenization
survey questions
happiness
life satisfaction
title How to Reconstruct a Trend when Survey Questions Have Changed Over Time.
title_full How to Reconstruct a Trend when Survey Questions Have Changed Over Time.
title_fullStr How to Reconstruct a Trend when Survey Questions Have Changed Over Time.
title_full_unstemmed How to Reconstruct a Trend when Survey Questions Have Changed Over Time.
title_short How to Reconstruct a Trend when Survey Questions Have Changed Over Time.
title_sort how to reconstruct a trend when survey questions have changed over time
topic Trend analysis
response scale homogenization
survey questions
happiness
life satisfaction
url https://ojs.ub.uni-konstanz.de/srm/article/view/7725
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