Revisiting measurement invariance in intelligence testing in aging research: Evidence for almost complete metric invariance across age groups

Sprague, Briana N.; Hyun, Jinshil; Molenaar, Peter

doi:10.17505/jpor.2017.08

Cited by 7 publications

(5 citation statements)

References 38 publications

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“…Sprague et al’s (2017, p. 86) observation that “invariance of intelligence across age is often assumed but infrequently explicitly tested” also applies to gc. Thus, the current results are important for age-comparative research, where gc is to be compared across individuals of differing age.…”

Section: Discussionmentioning

confidence: 99%

Structural invariance of declarative knowledge across the adult lifespan.

Watrin¹,

Schroeders²,

Wilhelm³

2022

Psychology and Aging

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We have no conflicts of interest to disclose. We confirm that the work conforms to Standard 8 of the American Psychological Association's Ethical Principles of Psychologists and Code of Conduct. We thank Diana Steger for developing the large item pool that we partially used in this study and Alexander Robitzsch for the implementation of the joint estimation procedure in the sirt package. This research was supported by a grant from the Deutsche Forschungsgemeinschaft (DFG) to Ulrich Schroeders and Andrea Hildebrandt (SCHR 1591/1-1 and HI 1780/4-1) as part of the Priority Program 1646 "Education as a Lifelong Process". Data from this study has partly been used in Schroeders et al. (2021). Both the research question and the methodology differ substantially. The data and materials supporting the findings of this study are available at https://osf.io/46gh7/.

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Section: Discussionmentioning

confidence: 99%

Structural invariance of declarative knowledge across the adult lifespan.

Watrin¹,

Schroeders²,

Wilhelm³

2022

Psychology and Aging

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“…investigated 940 participants aged 16–75 and found that performance in BDT decreases with increasing age. [ 9 ] Another study reported a strong decline in the BDT performance with aging, although variability also significantly increases in older age groups. [ 7 ] One study suggests that visuospatial ability is preserved in older people, and poorer performance is caused by slower visuomotor speed.…”

Section: Discussionmentioning

confidence: 99%

“…This test has been used in other research assessing visuospatial function of older people. [ 7 8 9 10 ]…”

Section: S Ubjects and M Ethodsmentioning

confidence: 99%

Correlates of visuospatial ability among older people in Indonesia

Widagdo

Rianto

Restyandito

et al. 2021

Indian J Community Med

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Introduction: The Indonesian elderly population keeps increasing. Aging is related with degeneration process, one of which is a decrease in cognitive function, including visuospatial ability. This is the first study on the visuospatial ability of Indonesian older people. Objective: This research aimed to assess the visuospatial ability and its correlation with sex, age, education, and general cognitive function among older people in Indonesia. Subjects and Methods: The research subjects were older people aged ≥60 years with Mini-Mental State Examination (MMSE) score ≥24. The visuospatial ability was assessed using Wechsler Adult Intelligence Scale-Revised (WAIS-R) Block Design Test (BDT). Regression analysis was performed to reveal the correlation of sex, age, education, and global cognitive function with visuospatial ability. Results: Sixty older people participated in this research, with an average age of 68.08 ± 6.24, mean MMSE score of 27.43 ± 1.71, and mean WAIS-R BDT score of 27.8 ± 7.27. The female and older individuals tended to have lower scores. Subjects with higher education and global cognitive function had higher WAIS-R BDT scores. Regression analysis showed that age and sex did not have significant effect, but education and global cognitive function had positive effect on visuospatial ability. Conclusion: There is a significant correlation between education and global cognitive function with visuospatial ability among older people in Indonesia.

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“…In singlesession studies, the method variance is confounded with true variance at the subject's level of analysis. Longitudinal studies could estimate the variance of the latent dimensions separately between the subjects (inter-subject level of analysis, between) and the temporal effect (intra-subject level, within), and could also test if the same variation of the specific and general dimensions is observed at both levels (Pornprasertmanit et al 2014;Richerson et al 2014;Sprague et al 2017). In other words, it could be assessed whether the shared general variance has a similar structure between the levels of analysis, which would reduce the chances of a general spurious dimension.…”

Section: Discussionmentioning

confidence: 99%