5
Sources
953
Studies
52143
Questions
502
Persons

Find researchers

You can also enter parts of the name to get a wider search result.
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 > SF-6D

In April 2011, the LISS panel completed the SF-6D questionnaire. The questionnaire serves to validate the Dutch SF-6D (classification for describing health) and to understand the valuation of health in the Netherlands.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 the 14 actual multiple choice questions (pairwise comparisons), consisting of part A and part B. 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. Part A of every question offered a choice between option A and B, these had an equal remaining life expectancy, but under different health conditions: a better, equal or worse score on the 6 health aspects of “bodily functioning”, “physical and/or emotional constraints”, “social activities”, “pain”, “depressed and glum”, and “energetic”. In part B of each question, exactly the same options were shown as in part A, but the choice offered was between option B, to live longer in worse health, or C, to live shorter in perfect health.The remaining life expectancies and health conditions differed per question, as well as per version (note that option C always meant a perfect health condition, but a shorter life expectancy that options A and B). Respondents were assigned to one of the eight versions. The health aspects were displayed on screen in random order (this order was maintained throughout the rest of the questionnaire). Color schemes were used for the scores on health aspects. The colors were dependent on the group to which the respondent belonged: Group 1: the traffic light colors of red-orange-green, unless colorblind and opted for the purple colors. Group 2: the purple colors (from light to dark), unless colorblind and opted for the traffic light colors. With the traffic light colors, red represented poor, orange represented average, and green represented good health. With the purple colors, the lighter variants represented poor health and the darker variants good health. This was done to see to what extent the colors contribute to the comparatively large weight of the poor health conditions.The variables for the version, the question, the scores on the 6 health aspects and the remaining life expectancies were captured.

Creator: Adams, Byron, Van De Vijver, F.J.R., De Bruin, Gideon
Title Description
Immigrant panel > The Association between Relational Orientation, Personality, Culture and Life Satisfaction in the Netherlands

This study aims to explore how relational orientation relates to personality domains and life satisfaction in the multicultural Dutch context.In February 2013, the Immigrant panel was presented a questionnaire on relational orientation. Part 1 of the questionnaire consists of open questions. Due to the privacy issues of the data these open answers were not included in the dataset and are only available upon request.

Creator: Mara Yerkes (Utrecht University), Janna Besamusca (University of Amsterdam), Roos van der Zwan (University of Amsterdam), Stéfanie André (Radboud University), Chantal Remery (Utrecht University), Peter Kruyen (Radboud University), Debby Beckers (Radboud University), Sabine Geurts (Radboud University)
Title Description
LISS panel > Gender inequalities in times of the COVID-19 pandemic > Wave 2

This study focuses on gender inequalities within households in times of the COVID-19 pandemic. This measurement is a continuation of a similar survey of April 2020.

Creator: Mara Yerkes (Utrecht University), Janna Besamusca (University of Amsterdam), Roos van der Zwan (University of Amsterdam), Paul de Beer (University of Amsterdam), Stéfanie André (Radboud University), Chantal Remery (Utrecht University), Peter Kruyen (Radboud University), Debby Beckers (Radboud University), Sabine Geurts (Radboud University)
Title Description
LISS panel > Gender inequalities in times of the COVID-19 pandemic > Wave 1

This study focuses on gender inequalities within households in times of the COVID-19 pandemic.

Creator: Mara Yerkes (Utrecht University), Janna Besamusca (University of Amsterdam), Roos van der Zwan (UvA), Paul de Beer (UvA), Stéfanie André (Radboud University), Chantal Remery (UU), Peter Kruyen (RU), Debby Beckers (RU), Sabine Geurts (RU)
Title Description
LISS Data Archive > Gender inequalities in times of the COVID-19 pandemic

This study focuses on gender inequalities within households in times of the COVID-19 pandemic.

LISS panel > Gender inequalities in times of the COVID-19 pandemic

This study focuses on gender inequalities within households in times of the COVID-19 pandemic.

Creator: Zijlstra, R., Delbaere, K., Kempen, R.
Title Description
LISS panel > Validation of three measures for fall prevention research among older people

The primary goal of this study is to determine the psychometric properties of the FES-IAB, the Icon-FES, and the IPEQ-W in older people of the LISS panel.

LISS panel > Validation of three measures for fall prevention research among older people > Wave 1

From March through May 2013, the first wave of the questionnaire “Physical activity” was fielded in the LISS panel.

LISS panel > Validation of three measures for fall prevention research among older people > Wave 2

From April through June 2013, the second wave of the questionnaire “Physical activity” was fielded in the LISS panel.

Creator: Dongning Ren (Tilburg University, TSB)
Title Description
LISS panel > Feeling invisible - Uncovering the most robust predictors of perceived ostracism

This project aims to uncover which factors predict ostracism best. For this, respondents were asked about their recent social experiences.

Pages