Immigrant panel > Health > Wave 2

This survey focuses on health, health perception and health related to job situation

LISS panel > Health > Wave 5

This is the fifth wave of the Health module of the LISS Core Study. This survey focuses on health, health perception and health related to job situation

Immigrant panel > Health > Wave 1

This survey focuses on health, health perception and health related to job situation

LISS panel > Health > Wave 7

This is the seventh wave of the Health module of the LISS Core Study. This survey focuses on health, health perception and health related to job situation

Development of an International Survey Attitude Scale: Measurement Equivalence, Reliability, and Predictive Validity.

Declining response rates worldwide have stimulated interest in understanding what may be influencing this decline and how it varies across countries and survey populations. In this paper, we describe the development and validation of a short 9-item survey attitude scale that measures three important constructs, thought by many scholars to be related to decisions to participate in surveys, that is, survey enjoyment, survey value, and survey burden. The survey attitude scale is based on a literature review of earlier work by multiple authors. Our overarching goal with this study is to develop and validate a concise and effective measure of how individuals feel about responding to surveys that can be implemented in surveys and panels to understand the willingness to participate in surveys and improve survey effectiveness. The research questions relate to factor structure, measurement equivalence, reliability, and predictive validity of the survey attitude scale. The data came from three probability-based panels: the German GESIS and PPSM panels and the Dutch LISS panel. The survey attitude scale proved to have a replicable three-dimensional factor structure (survey enjoyment, survey value, and survey burden). Partial scalar measurement equivalence was established across three panels that employed two languages (German and Dutch) and three measurement modes (web, telephone, and paper mail). For all three dimensions of the survey attitude scale, the reliability of the corresponding subscales (enjoyment, value, and burden) was satisfactory. Furthermore, the scales correlated with survey response in the expected directions, indicating predictive validity

Theme questionnaire: Living in the Netherlands > 2011 October

This is the October 2011 measurement of the Theme Questionnaire. The survey aims to gain insight in how immigrants in the Netherlands experience living in this country

Noot bij: HR 24 november 2015, NJ, 2016, 313 (Oordeel hof dat geen sprake is geweest van het werven ‘door misleiding en/of misbruik van een kwetsbare positie’ niet zonder meer begrijpelijk)

Item does not contain fulltext24 november 201

Can survey item characteristics relevant to mode-specific measurement error be coded reliably?

In multi - mode questionnaire design, usually some consideration is given to mode - specific measurement error. Despite this consideration, however, these measurement effects can be unexpectedly large. For this reason, there is a strong incentive to better predict mea surement effects. This may be done by constructing profiles of a questionnaire, in which relevant item characteristics are summarized. For all items of a survey, these item characteristics need to be coded and combined. In this paper, we evaluated a list o f item characteristics that literature has reported as relevant to mode - specific measurement error. Most importantly, we evaluated the reliability of the coding of such characteristics. Our results showed that intercoder reliability can be low for the most relevant characteristics. This may be explained by the difficulty of defining the item characteristics and the inherent subjectivity with which these item characteristics are coded. Finally, some sug gestions a re made for coping with low intercoder reliabi lity

Can Survey Item Characteristics Relevant to Measurement Error Be Coded Reliably?: A Case Study on 11 Dutch General Population Surveys

Item characteristics can have a significant effect on survey data quality and may be associated with measurement error. Literature on data quality and measurement error is often inconclusive. This could be because item characteristics used for detecting measurement error are not coded unambiguously. In our study, we use a systematic coding procedure with multiple coders to investigate the extent to which the coding of item characteristics could be done reliably. For this purpose, we constructed an item characteristics scheme that is based on typologies of characteristics. High intercoder reliability indicates a clear relation between item characteristic, item content, and measurement error. Our results show that intercoder reliability is often low, especially for item characteristics that are hard to code due to subjectivity. Low intercoder reliability complicates comparisons between studies about item characteristics and measurement error. We give suggestions for coping with low intercoder reliability