Web Survey Bibliography
Title Development and validation of a single- item scale for the relative assessment of physical attractiveness
Author Lutz, J.; Kemper, C. J.; Beierlein, C.; etc.
Source methods, data, analyses
Year 2013
Access date 17.03.2016
Full text PDF (807 KB)
Abstract
Physical attractiveness is an important factor of social interaction and cognition, such as in mate choice or in the impressions people form of themselves and of others. In the context of social and health sciences, physical attractiveness has also been shown to complement the prediction of various target variables. Among other relationships, physical attractiveness is associated with criteria of professional success, various health variables and overall life satisfaction. However, the measurement of physical attractiveness via absolute ratings has several shortcomings. For example, attractiveness judgments are influenced by characteristics of the rater. As pointed out in literature, especially the interaction between age and gender of rater and target person has a significant impact on rating scores. The aim of this study was to construct a scale for the economical, reliable and valid assessment of physical attractiveness, controlling for methodological problems reported in prior research. To achieve this, the Attractiveness Rating 1 (AR1) employs a relative measurement approach. The AR1 was constructed and validated using four diverse samples.The presented results suggest that the AR1 adequately measures physical attractiveness.
Abstract - optional
Physische Attraktivität ist ein wichtiger Faktor sozialer Interaktion und Kognition, z.B. bei der Partnerwahl oder dem Eindruck, den sich Menschen von sich selbst und von anderen bilden. Auch im Rahmen von Umfragen könnte die physische Attraktivität sozial- und gesundheitswissenschaftliche Erklärungsmodelle sinnvoll ergänzen. So finden sich unter anderem Zusammenhänge mit Kriterien des Berufserfolgs, diversen Gesundheitsvariablen und der allgemeinen Lebenszufriedenheit. Die Messung physischer Attraktivität mittels absoluten Einschätzungen hat sich jedoch als problematisch erwiesen. Attraktivitätsurteile können z.B. von Charakteristika der Beurteiler beeinflusst werden. Vor allem die Interaktion zwischen Alter und Geschlecht von Beurteiler und Zielperson wird in der Literatur als Einflussfaktor berichtet. Zie der vorliegenden Studie war daher die Konstruktion einer Skala zur ökonomischen, reliablen und validen Messung von physischer Attraktivität, die den in der Literatur berichteten Problemen Rechnung trägt. Um dies zu erreichen wird im Attraktivitätsrating 1 (AR1) ein relatives Messkonzept eingesetzt. Das AR1 wurde anhand von vieralters-, geschlechts- und bildungsheterogenen Stichproben konstruiert und validiert. Die berichteten Ergebnisse sprechen dafür, dass das AR1 das Merkmal physische Attraktivität adäquat abbildet.
Access/Direct link GESIS vol. 7(2), 2013, pp. 209-232
Year of publication2013
Bibliographic typeJournal article
Web survey bibliography - Germany (361)
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- Assessing representativeness of a probability-based online panel in Germany; 2014; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- The Influence of the Answer Box Size on Item Nonresponse to Open-Ended Questions in a Web Survey; 2014; Zuell, C., Menold, N., Koerber, S.
- Does the Choice of Header Images influence Responses? Findings from a Web Survey on Students’...; 2014; Barth, A.
- Using Paradata to Predict and to Correct for Panel Attrition in a Web-based Panel Survey; 2014; Rossmann, J., Gummer, T.
- Offline Households in the German Internet Panel; 2014; Bossert, D., Holthausen, A., Krieger, U.
- Which fieldwork method for what target group? How to improve response rate and data quality; 2014; Wulfert, T., Woppmann, A.
- Switching the polarity of answer options within the questionnaire and using various numbering schemes...; 2014; Struminskaya, B., Schaurer, I., Bosnjak, M.
- Improving cheater detection in web-based randomized response using client-side paradata; 2014; Dombrowski, K., Becker, C.
- Interest Bias – An Extreme Form of Self-Selection?; 2014; Cape, P. J., Reichert, K.
- Increasing data quality in online surveys 4.1; 2014; Hoeckel, H.
- Moving answers with the GyroScale: Using the mobile device’s gyroscope for market research purposes...; 2014; Luetters, H., Kraus, M., Westphal, D.
- Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information...; 2014; Schweiger, S., Oeberst, A., Cress, U.
- Undisclosed Privacy: The Effect of Privacy Rights Design on Response Rates; 2014; Haer, R., Meidert, N.
- The Effect of Benefit Wording on Consent to Link Survey and Administrative Records in a Web Survey; 2014; Sakshaug, J. W., Kreuter, F.
- GESIS Panel: Sample and Recruitment; 2014
- The Use of Paradata to Predict Future Cooperation in a Panel Study; 2014; Funke, F., Goeritz, A.
- Incentives on demand in a probability-based online panel: redemption and the choice between pay-out...; 2014; Schaurer, I., Struminskaya, B., Kaczmirek, L.
- Responsive designed web surveys; 2014; Dreyer, M., Reich, M., Schwarzkopf, K.
- Extra incentives for extra efforts – impact of incentives for burdensome tasks within an incentivized...; 2014; Schreier, J. H., Biethahn, N., Drewes, F.
- Innovation for television research - online surveys via HbbTV. A new technology with fantastic opportunities...; 2014; Herche, J., Adler, M.
- Asking Sensitive Questions: An Evaluation of the Randomized Response Technique Versus Direct Questioning...; 2013; Wolter, F.; Preisendoerfer, P.
- Respondent Choice of Survey Mode; 2013; Fuchs, M.
- Development and validation of a single- item scale for the relative assessment of physical attractiveness...; 2013; Lutz, J.; Kemper, C. J.; Beierlein, C.; etc.
- Accounting for the Effects of Data Collection Method Application to the International Tobacco Control...; 2013; Thompson, M. E.; Huang, Y. C.; Boudreau, C.; Fong, G. T.; van den Putte, B.; Nagelhout, G. E.; Willemsen...
- The Short-term Campaign Panel of the German Longitudinal Election Study 2009. Design, Implementation...; 2013; Steinbrecher, M., Rossmann, J.
- Too Fast, Too Straight, Too Weird: Post Hoc Identification of Meaningless Data in Internet ; 2013; Leiner, D. J.
- The Digital Divide in Europe; 2013; Zillien, N.; Marr, M.
- The Recruitment of the Access Panel of German Official Statistics from a Large Survey in 2006: Empirical...; 2013; Amarov, B.; Rendtel, U.
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- Where does the Fair Trade price premium go? Confronting consumers' request with reality; 2013; Langen, N., Adenaeuer, L.