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Data Package valcom2s2

Details

Study Series:
Institution(s):
Marburg University
Sponsored by:
  • German Research Foundation
Project Contributors:
Gorges, Julia ORCID logo
Survey Design:
Cross-Section 
Survey Data Type:
Quantitative Data
Data available in:
German
Data Curation:
Daniel, Andreas ORCID logo
DOI:
Version:
1.0.0 (published at Jun 10, 2024)
Additional Links:
Allowed use cases:
  • scientific use

Data Package Description

This dataset is from Study 3 of the ValCom2 project. The project investigates the formation of expectancy of success and subjective task value when facing novel learning content. It is a cross-sectional survey of adults implemented through the Social Science Panel. The sample was drawn from those panel participants who were no longer listed as students. The questionnaire consisted of questions on demographics, school- and subject-specific as well as general academic motivation (ability self-concept and intrinsic value), prior knowledge of subjects, Need For Cognition, and perceived similarity between school and study
subjects.

Documents related to this Data Package

Data Package

Title Description Document Language DOI File
Release Notes  The release notes contain information about the current version and changes compared to previous versions.  German link_off valcom2s2_ReleaseNotes.md

Instruments

Type Description Document Language DOI File
Questionnaire  Questionnaire Valcom2 Study 3 (incl. sources, see comments in the document)  German  link_off 1_valcom2s2_Fragebogen_inkl_Quellen.pdf

Data Sets

Title Description Document Language DOI File
Codebook ValCom2 ‐ Studie 3  Codebook ValCom2 - Study 3  German link_off valcom2s2_Codebook_Studie_3.pdf

Related Objects

Surveys (1) Instruments Questions Data Sets Variables Publications Concepts
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Quantitative Data, Standardised online survey 
Population: The survey was conducted using the SocSci Panel, so the population is made up of the working adults in this panel. 
Sampling Procedure: Non-probability Sample 
Field Period: Sep 1, 2019 - Sep 30, 2019
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