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Tytuł pozycji:

The SIC Scale of Ageism: Confirmatory Factor Analysis, Measurement Invariance, and Revisions.

Tytuł:
The SIC Scale of Ageism: Confirmatory Factor Analysis, Measurement Invariance, and Revisions.
Autorzy:
Hancock DW; Department of Psychological Sciences, Texas Tech University , Lubbock, Texas.
Talley AE; Department of Psychological Sciences, Texas Tech University , Lubbock, Texas.
Źródło:
Journal of aging & social policy [J Aging Soc Policy] 2020 Nov-Dec; Vol. 32 (6), pp. 559-571. Date of Electronic Publication: 2018 Oct 09.
Typ publikacji:
Journal Article; Validation Study
Język:
English
Imprint Name(s):
Publication: London : Informa Healthcare
Original Publication: [Binghamton, NY] : Haworth Press, [c1989-
MeSH Terms:
Ageism*
Factor Analysis, Statistical*
Racial Groups*
Surveys and Questionnaires*
Ethnicity/*statistics & numerical data
Adult ; Female ; Humans ; Male ; Young Adult
Contributed Indexing:
Keywords: Ageism; measurement invariance; scale validation
Entry Date(s):
Date Created: 20181010 Date Completed: 20210719 Latest Revision: 20211204
Update Code:
20240104
DOI:
10.1080/08959420.2018.1528114
PMID:
30300112
Czasopismo naukowe
The present study seeks to confirm the factor structure of the succession, identity, and consumption (SIC) scale of prescriptive ageism as a modern measure of intergenerational ageism, with particular utility for institutionalized ageism and policy in health care, the workplace, and residential facilities. In addition, measurement invariance of the scale is tested for gender and racial/ethnic groups. Confirmatory factor analysis was performed on the scale as initially proposed, treating the items as categorical variables (see for treatment of Likert-type items as categorical). Modifications to the scale were explored using both theoretical and statistical criteria. Measurement invariance tests were run on both gender and racial/ethnic categories. Analyses indicated that the three-factor structure as initially proposed was validated in an undergraduate population. Minor modifications are proposed to improve the performance of the measure. Using comparative fit indices, measurement invariance was established for gender and racial/ethnic groups with mean level scale score differences discussed.

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