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ISSP 2025 - Work Orientations V: Questionnaire Development

[working paper]

Naber, Dörte
Scholz, Evi
Guse, Lara
Hamplova, Dana

Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften

Abstract

This report outlines the development process of the International Social Survey Programme (ISSP) 2025 - Work Orientations V module questionnaire. It begins with a brief introduction of the ISSP in general, followed by a detailed description of how the 2025 Work Orientations module questionnaire was ... view more

This report outlines the development process of the International Social Survey Programme (ISSP) 2025 - Work Orientations V module questionnaire. It begins with a brief introduction of the ISSP in general, followed by a detailed description of how the 2025 Work Orientations module questionnaire was developed. An overview table is included to compare the items used in 2025 with those from previous modules in 1989, 1997, 2005, and 2015. The subsequent sections provide a comprehensive list of all obligatory items included in the 2025 source questionnaire. For each item, the replication history, corresponding question numbers, variable names, question wording, and response options with labels are presented. The sections are organized according to respondent groups: questions directed at all respondents (Section 3), those currently working for pay (Section 4), and individuals not currently working for pay (Section 5). Newly introduced items are accompanied by a brief reasoning for their inclusion. After an overview of the number of replicate and new items, optional items are described, which can but not have to be included in the national questionnaires on the Work Orientations V module. The report closes with an overview of all contents in the ISSP 2025 questionnaire, a list of references, and the ISSP 2025 source questionnaire.... view less

Keywords
ISSP; data capture; questionnaire; work orientation; work environment; job situation; work satisfaction; flexibility; work-life-balance; type of employment; employability; job history

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
employment; job characteristics; work values; remote work; questionnaire development

Document language
English

Publication Year
2025

City
Köln

Page/Pages
94 p.

Series
GESIS Papers, 2025/05

ISSN
2364-3781

Status
Published Version; reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.