Koch, Alex ORCID: 0000-0002-6267-8066, Speckmann, Felix and Unkelbach, Christian ORCID: 0000-0002-3793-6246 (2020). Q-SpAM: How to Efficiently Measure Similarity in Online Research. Sociol. Methods. Res., 51 (3). THOUSAND OAKS: SAGE PUBLICATIONS INC. ISSN 1552-8294

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Abstract

Measuring the similarity of stimuli is of great interest to a variety of social scientists. Spatial arrangement by dragging and dropping more similar targets closer together on the computer screen is a precise and efficient method to measure stimulus similarity. We present Qualtrics-spatial arrangement method (Q-SpAM), a feature-rich and user-friendly online version of spatial arrangement. Combined with crowdsourcing platforms, Q-SpAM provides fast and affordable access to similarity data even for large stimulus sets. Participants may spatially arrange up to 100 words or images, randomly selected targets, self-selected targets, self-generated targets, and targets self-marked in different colors. These and other Q-SpAM features can be combined. We exemplify how to collect, process, and visualize similarity data with Q-SpAM and provide R and Excel scripts to do so. We then illustrate Q-SpAM's versatility for social science, concluding that Q-SpAM is a reliable and valid method to measure the similarity of lots of stimuli with little effort.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Koch, AlexUNSPECIFIEDorcid.org/0000-0002-6267-8066UNSPECIFIED
Speckmann, FelixUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Unkelbach, ChristianUNSPECIFIEDorcid.org/0000-0002-3793-6246UNSPECIFIED
URN: urn:nbn:de:hbz:38-336534
DOI: 10.1177/0049124120914937
Journal or Publication Title: Sociol. Methods. Res.
Volume: 51
Number: 3
Date: 2020
Publisher: SAGE PUBLICATIONS INC
Place of Publication: THOUSAND OAKS
ISSN: 1552-8294
Language: English
Faculty: Faculty of Human Sciences
Faculty of Management, Economy and Social Sciences
Divisions: Faculty of Human Sciences > Department Psychologie
Center of Excellence C-SEB
Subjects: Psychology
Uncontrolled Keywords:
KeywordsLanguage
VALENCE ASYMMETRIES; INFORMATION; KNOWLEDGE; DEPEND; ALIKE; MODEL; TURKMultiple languages
Social Sciences, Mathematical Methods; SociologyMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/33653

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