
Size text box - Patient Joe data
Single Wave Study
General Information
Title
Size text box - Patient Joe data
Project Number
217
Abstract
In this questionnaire respondents were asked to give advice in a
particular situation. There are three conditions in which the size of the textbox differs.
Longitudinal Type
Single Wave Study
Begin date
05-03-2012
End date
27-03-2012
Topics
Researcher
Matthias Schonlau
Publisher
CentERdata
Copyright
© 2020 CentERdata
DOI
https://doi.org/10.17026/dans-2b2-wh7r
Funding Organization
CentERdata/MESS Project
Datasets and documentation
View Documentation
Codebook in English
Codebook in Dutch
Coding manual in English
Data Files
English SPSS file
English STATA file
English CSV file
Variables
Variable name | Variable Label | Variable Type |
---|---|---|
nomem_encr | Number of household member encrypted | preloaded |
nohouse_encr | Number of household encrypted | preloaded |
gj12a_m | Year and month of administration | constructed |
gj12a001 | Size text box | constructed |
gj12a002 | Small text box: What should Joe do? | directly measured |
gj12a003 | Small text box: What else should Joe do? | directly measured |
gj12a004 | Medium text box:What should Joe do? | directly measured |
gj12a005 | Medium text box: What else should Joe do? | directly measured |
gj12a006 | Large text box: What should Joe do? | directly measured |
gj12a007 | Large text box: What else should Joe do? | directly measured |
gj12a008 | Was it difficult to answer the questions? | directly measured |
gj12a009 | Were the questions sufficiently clear? | directly measured |
gj12a010 | Did the questionnaire get you thinking about things? | directly measured |
gj12a011 | Was it an interesting subject? | directly measured |
gj12a012 | Did you enjoy answering the questions? | directly measured |
gj12a013 | Starting date questionnaire | constructed |
gj12a014 | Starting time questionnaire | constructed |
gj12a015 | End date questionnaire | constructed |
gj12a016 | End time questionnaire | constructed |
gj12a017 | Duration in seconds | derived |
gj12a018 | [constructed variable] Joined variable of all textbox categories of 'What should Joe do?' | constructed |
gj12a019 | [constructed variable] 'What should Joe do' coding by coder 1 | constructed |
gj12a020 | [constructed variable] 'What should Joe do' coding by coder 2 | constructed |
gj12a021 | [constructed variable] Final coding of the question 'What should Joe do' | constructed |
Questions
Questionnaire: Size text box - Patient Joe data
The questionnaire was administered in Dutch
Browse Size text box - Patient Joe dataResponse Information
Response Overview
Selected number of household members 2,488 (100%)Nonresponse: 665 (26.7%)
Response: 1,823 (73.2%)
Complete: 1,823 (73.2%)
Incomplete: 0 (0.0%)
Collection Events
Period
05-03-2012 to 27-03-2012
Sample
Panel members aged 16 years and older
Collection Mode
internet survey
Fieldwork Note
A reminder was sent twice to non-respondents.
Publications
He, Z.,
et al. (2020). Automatic coding of open-ended questions into multiple classes: Whether and how to use double coded data. Survey Research Methods, 14(3), 267-278
.
He, Z.,
et al. (2020). Automatic coding of text answers to open-ended questions: Should you double code the training data?. Social Science Computer Review, 38(6), 754-765.
He, Z.,
et al. (2021). Coding text answers to open-ended questions: Human coders and statistical learning algorithms make similar mistakes. Methods, Data, Analyses, 15(1), 103-120.
He, Z. (2020). On the automatic coding of text answers to open-ended questions in surveys. University of Waterloo.
Schonlau, M.,
et al. (2017). Text mining with n-gram variables. The Stata Journal, 17(4), 866-881.
Schonlau, M.,
et al. (2016). Semi-automated categorization of open-ended questions. Survey Research Methods, 10(2), 143-152.
He, Z.,
et al. (2022). A model-assisted approach for finding coding errors in the manual coding of open-ended questions. Journal of Survey Statistics and Methodology, 10(2), 365–376.
Schonlau, M. (2023). Applied statistical learning. Applied Statistical Learning. With Case Studies in Stata. Springer Cham.