Related Experiment Video
Updated: Sep 9, 2025
10:32
Development of a Virtual Reality Assessment of Everyday Living Skills
Published on: April 23, 2014
18.6K
Can the PVQ21 Measure Schwartz's Refined Values?
Michele Vecchione1, Eldad Davidov2,3
1Department of Social and Developmental Psychology, Sapienza University of Rome, Rome, Italy.
Journal of Personality Assessment
|September 2, 2025
Summary
The Portrait Value Questionnaire (PVQ21) effectively measures most refined human values proposed by Schwartz's updated theory. This study validates PVQ21 items for capturing these 19 narrower values in social science research.
Area of Science:
- Social Psychology
- Sociology
- Survey Methodology
Background:
- Human values are crucial for understanding individuals and societies.
- The European Social Survey (ESS) has consistently used the 21-item Portrait Value Questionnaire (PVQ21) to measure 10 core values.
- Schwartz's 2012 refinement identified 19 narrower values, necessitating updated measurement approaches.
Purpose of the Study:
- To investigate the suitability of single PVQ21 items for measuring the 19 refined human values.
- To assess the theoretical and empirical correspondence between PVQ21 items and Schwartz's refined value theory.
- To evaluate the implications for using PVQ21 in the European Social Survey (ESS).
Main Methods:
- A sample of 645 Italian adults participated in the study.
- Participants completed both the PVQ21 and the Portrait Value Questionnaire-Refined (PVQ-RR).
- Correspondence between PVQ21 items and refined values was analyzed theoretically and empirically.
Main Results:
- The PVQ21 demonstrated effectiveness in capturing the majority of the 19 refined human values.
- Strong theoretical and empirical links were found between PVQ21 items and specific refined values.
- The study provides evidence for the continued utility of PVQ21 in value research.
Conclusions:
- Single items from the PVQ21 can adequately measure most of Schwartz's 19 refined values.
- Findings support the use of PVQ21 for assessing refined values within the ESS framework.
- Implications and limitations for future value research using PVQ21 are discussed.
Related Concept Videos
01:21Friedman Two-way Analysis of Variance by Ranks
296
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
296
01:00Detection of Gross Error: The Q Test
6.4K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.4K
01:05Estimation of the Physical Quantities
5.8K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
5.8K
01:17Cochran's Q Test
544
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
544
01:19Testing a Claim about Standard Deviation
2.5K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.5K
01:29Measures of Intelligence
7.8K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
7.8K