persval {persval}R Documentation

Computing Personal Values Scores

Description

The persval package provides functions to compute personal values scores from various questionnaires based on the theoretical constructs proposed by Schwartz (Schwartz, 1992, 1996, 2015; Schwartz et al., 2017). Designed for researchers and practitioners in psychology, sociology, and related fields, the package facilitates the quantification of different dimensions related to personal values from survey data. It incorporates the recommended statistical adjustment to enhance the accuracy and interpretation of the results.

Details

Supported questionnaires within the package include:

Note

This package is independently developed based on Schwartz’s theoretical framework and is not directly endorsed by Professor Schwartz. Researchers are advised to consult the original empirical studies and validation articles for comprehensive insights into the theoretical and empirical basis of the instruments used (e.g.: Closs, 1996; Cornwell & Dunlop, 1994; Rudnev, 2021; Saris, 1988; Schwartz, 1992, 1996, 2015; Schwartz et al., 2017; Smith, 2004; Van Rosmalen et al., 2010).

Author(s)

Maintainer: Giuseppe Corbelli giuseppe.corbelli@uninettunouniversity.net (ORCID)

References

Closs, S. J. (1996). On the factoring and interpretation of ipsative data. Journal of Occupational and Organizational Psychology, 69(1), 41-47. doi:10.1111/j.2044-8325.1996.tb00598.x

Cornwell, J. M., & Dunlap, W. P. (1994). On the questionable soundness of factoring ipsative data: A response to Saville and Willson (1991). Journal of Occupational and Organizational Psychology, 67, 89-100. doi:10.1111/j.2044-8325.1994.tb00553.x

Rudnev, M. (2021). Caveats of non-ipsatization of basic values: A review of issues and a simulation study. Journal of Research in Personality, 93, 104-118. doi:10.1016/j.jrp.2021.104118

Sandy, C. J., Gosling, S. D., Schwartz, S. H., & Koelkebeck, T. (2017). The development and validation of brief and ultrabrief measures of values. Journal of Personality Assessment, 99(5), 545-555. doi:10.1080/00223891.2016.1231115

Saris, W. E. (Ed.). (1988). Variation in response functions: A source of measurement error in attitude research. Amsterdam: Sociometric Research Foundation.

Schwartz, S. H. (1992). Universals in the content and structure of values: Theory and empirical tests in 20 countries. In M. Zanna (Ed.), Advances in experimental social psychology (Vol. 25, pp. 1-65). New York: Academic Press. doi:10.1016/s0065-2601(08)60281-6

Schwartz, S. H. (1996). Value priorities and behavior: Applying a theory of integrated value systems. In C. Seligman, J. M. Olson, & M. P. Zanna (Eds.), The psychology of values: The Ontario symposium (Vol. 8, pp. 1-24). Hillsdale, NJ: Erlbaum.

Schwartz, S. H., Melech, G., Lehmann, A., Burgess, S., & Harris, M. (2001). Extending the cross-cultural validity of the theory of basic human values with a different method of measurement. Journal of Cross-Cultural Psychology, 32, 519-542. doi:10.1177/0022022101032005001

Schwartz, S. H. (2003). A proposal for measuring value orientations across nations. Questionnaire package of the European Social Survey, 259(290), 261.

Schwartz, S. H. (2006). Basic human values: Theory, measurement, and applications. Revue Francaise de Sociologie, 47, 929-968.

Schwartz, S. H. (2015). Basic individual values: Sources and consequences. In D. Sander & T. Brosch (Eds.), Handbook of value (pp. 63-84). Oxford, UK: Oxford University Press. doi:10.1093/acprof:oso/9780198716600.003.0004

Schwartz, S. H., Cieciuch, J., Vecchione, M., Torres, C., Dirilem-Gumus, O., & Butenko, T. (2017). Value tradeoffs propel and inhibit behavior: Validating the 19 refined values in four countries. European Journal of Social Psychology, 47(3), 241–258. doi:10.1002/ejsp.2228

Smith, P. B. (2004). Acquiescent response bias as an aspect of cultural communications style. Journal of Cross-Cultural Psychology, 35(1), 50-61. doi:10.1177/0022022103260380

Van Rosmalen, J., Van Herk, H., & Groenen, P. J. F. (2010). Identifying response styles: A latent-class bilinear multinomial logit model. Journal of Marketing Research, 47(1), 157-172. doi:10.1509/jmkr.47.1.157

See Also

Useful links:


[Package persval version 1.0.0 Index]