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Creator: Bühler, C., Gauthier, A.H., Goldstein, J.R., Hin, S.C.
Title Description
LISS panel > Measuring the Desire for Children in Low Fertility Settings > Wave 2

This is the second wave of the survey Measuring the Desire for Children in Low Fertility Settings

Creator: Van De Werfhorst, Herman, Burgoon, Brian, Steijn, Sander
Title Description
LISS panel > Perceptions of the determinants of economic success and demand for redistribution of income

This study aims to investigate whether discrepancies in personal attitudes about how the economy should be run, perceptions of what people believe other people’s attitudes to be, and perceptions of how the economy actually functions, can explain individual demand for the redistribution of income.

Creator: Buser, Thomas, Oosterbeek, Hessel, Plug, Eric
Title Description
LISS panel > Left- and right-handedness

This questionnaire examines finger length and the extent to which people are left- or right-handed.

Creator: Raun van Ooijen, c.s. Jochem de Bresser, Marike Knoef, Mart van Megen
Title Description
LISS panel > Healthcare costs

The goal of this questionnaire is to understand the desired spending on long-term care for the elderly (and the content and arrangement thereof).

Creator: Chantal van den Berg (Free University Amsterdam)
Title Description
LISS panel > Viral Justice

This research investigates the perception of society about sharing messages about sexual victimization online, more specifically e-shaming.

Creator: Daan Jacobs (Tilburg University), Wesley Kaufmann (Tilburg University)
Title Description
LISS panel > Public participation

The survey is about public participation and legitimacy.

Creator: Weverthon Barbosa Machado (Utrecht University), Dafna Gelbgiser (Tel Aviv University), Andreas Haupt (Karlsruhe Institute of Technology)
Title Description
LISS Data Archive > The division of cognitive labor in the household

This project aims to advance empirical understanding of the division of cognitive labor in the household and its implications for health and labor market outcomes.

Creator: Berg, M., De Beer, P.
Title Description
LISS panel > Solidarity

In March 2012, the LISS panel completed a questionnaire about choosing between people. This study uses a vignette approach, requiring respondents to choose each time between two descriptions selected at random from 500 vignettes supplied by the study’s commissioning client. In the section about formal (public) solidarity, eight characteristics are described for the individuals, and in the section about informal (private) solidarity, five characteristics are described. The characteristics are moreover displayed in random order (vertically) on the screen for each respondent.

Creator: Jonker, M., Donkers, B., De Bekker-Grob, E.
Title Description
Validating the Dutch SF-6D and EQ-5D Using Pairwise Comparisons and Best-Worst Scaling

In April 2011, the LISS panel completed two questionnaires about the valuation of health. The questionnaires serve to validate the Dutch SF-6D and EQ-5D (classifications for describing health) and to understand the valuation of health in the Netherlands. For this purpose, the SF-6D questionnaire uses discrete choice experiments (pairwise comparisons). The EQ-5D is a shorter and simpler instrument than the SF-6D. Therefore, the EQ-5D questionnaire also examines the best way of posing the questions. For this purpose, pairwise comparisons and best-worst scaling are used (the evaluation of three health states simultaneously).

Validating the Dutch SF-6D and EQ-5D Using Pairwise Comparisons and Best-Worst Scaling > EQ-5D

In April 2011, the LISS panel completed the EQ-5D questionnaire. The questionnaire serves to validate the Dutch EQ-5D (classification for describing health) and to understand the valuation of health in the Netherlands. The questionnaire also examines the best way of posing the questions. For this purpose, pairwise comparisons and best-worst scaling are used (the evaluation of three health states simultaneously). Respondents were first presented a number of example questions, so that they could practice with the setup and layout of the multiple choice questions. This was followed by 12 multiple choice questions. For each decision-making situation, respondents were asked to imagine they only had a few years left to live. For every question three options were given, indicating in what health condition the respondents could spend the last years of their life. Respondents then indicated which option they preferred. Depending on the group to which the respondent belonged, (some) questions consisted of pairwise comparisons, each question then comprised a part A and part B. In part A, a choice was offered between options A and B. These options offered an equal life expectancy but different health conditions: a better, equal of worse score on the 5 health aspects of “problems with walking”, “problems with washing or dressing”, “problems with daily activities”, “pain or discomfort” and “anxiety or depression”. In part B, exactly the same options were displayed as in part A, but here the choice was between option B, to live longer in poorer health, and C, to live shorter in perfect health. Also depending on the group to which the respondent belonged, (some) questions consisted of evaluations of the three health conditions simultaneously (best-worst scale distribution). The groups were as follows: Group 1: 12 pairwise comparisons (questions eo11a019-eo11a042), followed by evaluation. Group 2: 12 best-worst questions (questions eo11a043-eo11a066), followed by evaluation. Group 3: 6 pairwise comparisons (questions eo11a067-eo11a078), followed by evaluation, and 6 best-worst questions (questions eo11a084-eo11a095), followed by evaluation. The remaining life expectancies and health conditions differed per question and per version (note that option C always represented perfect health, but with a shorter life expectancy than options A and B). Respondents were randomly assigned to one of the eight versions. The health aspects were displayed on the screen in random order (this order was maintained throughout the rest of the questionnaire). Colors were used for the scores on health aspects. The colors depended on the group to which the respondent belonged: Group 1: light purple=good health, dark purple=poor health. Group 2: light purple=poor health, dark purple=good health. This was done to check in how far the colors contribute to the relatively large weight of the poor health conditions. The variables for the version, the question, the scores on the 5 health aspects, and the remaining life expectancies were captured.

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