English title: Investigating the dimensionality of the Schwartz scale of human values: Evidence from ESS of 2002 for Greece

Author(s): Anastasia Charalampi -

Language: English

Type: Conference paper/poster

Year: 2014


Purpose: To investigate the dimensionality, reliability and construct (factorial) validity of the Short Form of the Human Values Scale as proposed by Schwartz. Methods: The Greek European Social Survey data of 2002 (Round 1) was used. First, the sample was split randomly into two halves. For the data of the first split-half sample, item analysis was carried out to examine the distributional properties of the scale and decide on the items to be included in the analysis. For the construct validity of the scale, Exploratory Factor Analysis (promax rotation) was adopted. For the data of the second split-half sample, data screening was carried out and the structure was validated by carrying out Confirmatory Factor Analysis. Results: The Exploratory Factor Analysis resulted in the following three factors solution: Openness to change/Self-enhancement, Self-transcendence/Conservation and Self-enhancement. Three subscales were constructed based on the defining items on the respective factors. Reliability coefficients and internal consistencies of the three subscales showed that the Self-enhancement subscale was not reliable. Confirmatory Factor Analysis indicated poor fit for the three factor solution and better fit for the two factor one. Conclusions: Our results indicated that a two factor solution is valid; a result that does not confirm the dimensionality of the Schwartz Human Values Scale as proposed in the literature. The implications of our results suggest that further research and analysis is necessary. Keywords Schwartz human value scale . PVQ-21. Validity . Factor Analysis

Conference name: HDCA

Location: President Hotel, Greece

Start date: Sep 2, 2014

Type: Poster

By continuing to visit our site, you accept the use of cookies. We use cookies for website functionality
and analyzing site usage through anonymized Google Analytics tracking. [Read more]