Structural Stability of Well-Being Factors Across Age and Gender, and Development of Scales of Well-Being Unbiased for Age and Gender

Carp, Frances M.; Carp, Abraham

doi:10.1093/geronj/38.5.572

Cited by 42 publications

(27 citation statements)

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“…Researchers CULTURAL DIFFERENCES IN MEASUREMENT have recognized the need to check for equivalence across groups at this level by examining factor loadings (for examples in well-being research, see Carp and Carp, 1983;Liang and Bollen, 1985;Liang et al, 1986Liang et al, , 1987Blais et al, 1989;Arrindell et al, 1991;Pavot et al, 1991;Shevlin and Bunting, 1994). In structural equation modeling, factor loadings are the regression coefficients for predicting item responses from the latent variable.…”

Section: Establishing Measurement Invariancementioning

confidence: 99%

Testing for Measurement Invariance in the Satisfaction with Life Scale: A Comparison of Russians and North Americans

et al. 2006

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ABSTRACT. This study examined the comparability of Satisfaction With Life Scale (SWLS) [Diener, Emmons, Larsen, & Griffin, 1985, Social Indicators Research, 34: 7-32] scores across U.S. and Russian student and community groups. Criteria for weak measurement invariance were met when comparing U.S. and Russian groups (combining student and community samples). Criteria for weak and strong measurement invariance were met when comparing the U.S. and Russian student samples. However, when comparing the U.S. and Russian community samples, the results showed a significant statistic for a baseline model, indicating a lack of comparability across samples. The costs of failing to meet criteria for weak, strong, and strict measurement invariance are discussed.

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Section: Establishing Measurement Invariancementioning

confidence: 99%

Testing for Measurement Invariance in the Satisfaction with Life Scale: A Comparison of Russians and North Americans

et al. 2006

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“…The invariance of the dimensional structure and the relationships between the latent variables it measures are central attributes of an instrument [23,24] . These measurement properties can be investigated using straightforward confirmatory factor analytic techniques.…”

Section: Introductionmentioning

confidence: 99%

Development and Factorial Validation of a Short Version of the Narcissism Inventory (NI-20)

Daig¹,

Burkert²,

Fischer³

et al. 2010

Psychopathology

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Background: Narcissism is seen as a normal but heterogeneously formed personality variable, ranging from ‘grandiosity-exhibitionism’ to ‘vulnerability-sensitivity’. This article reports the development and factorial validation of a short version of a narcissism inventory. Sampling and Methods: The sample includes data of 4,509 consecutive psychosomatic inpatients. The overall sample was divided in 2 equally sized randomized subsamples. One sample (n = 2,262) was used for exploratory factor analysis (principal component analysis). The other sample (n = 2,265) was used for confirmatory tests of the model fit of the newly built NI-20 version, and to analyze the model fit separately for men and women using structural equation modeling with AMOS software. Results: The short version (NI-20) consists of 20 items, with items representing almost all of the original 18 subscales and 4 second-order dimensions. The NI-20 possesses properties similar to the NI-90, with a considerable gain in test economy. The 4-factor structure of the NI-20 was confirmed, and reaches good fit indices. Conclusions: The NI-20 is an economical instrument with acceptable psychometric characteristics that reflects the heterogeneous aspects of narcissism. A methodological limitation is that the interactions between sociodemographic variables were not included as potential predictors.

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“…Amongst psychometric properties, it is important to test measurement invariance to explore whether the AARC concept is interpreted consistently in the same way across different population groups (for example, de ned by gender, level of education, or age) (12,17). Estimated reliable comparisons of AARC scores among groups can, therefore, be potentially calculated (18)(19)(20)(21). Regarding the AARC questionnaires, measurement invariance has so far been tested only for the AARC-10 SF in relation to different age groups (1).…”

Section: Introductionmentioning

confidence: 99%

International relevance of Two Measures of Awareness of Age-Related Change (AARC)

Sabatini

Ukoumunne

Ballard

et al. 2020

Preprint

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Background A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. Methods Data from 14,797 participants in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across males and females and across individuals with and without a university degree; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We also explored the relationship between demographic variables and AARC. Results We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and convergent validity. The meaning of AARC gains and losses was the same across males and females and across individuals with and without a university degree. Items composing AARC scales had the same meaning across individuals with and without a university degree. Items composing the AARC-50 cognitive functioning subscale had the same meaning across males and females. Two items in the AARC-10 SF had different meaning across males and females. Demographic variables significantly predicted AARC gains and losses. Conclusions The AARC-10 SF and AARC-50 cognitive functioning subscale can help to identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

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Structural Stability of Well-Being Factors Across Age and Gender, and Development of Scales of Well-Being Unbiased for Age and Gender

Cited by 42 publications

References 0 publications

Testing for Measurement Invariance in the Satisfaction with Life Scale: A Comparison of Russians and North Americans

Testing for Measurement Invariance in the Satisfaction with Life Scale: A Comparison of Russians and North Americans

Development and Factorial Validation of a Short Version of the Narcissism Inventory (NI-20)

International relevance of Two Measures of Awareness of Age-Related Change (AARC)

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