Abstract:The purpose of this research is to develop a successful aging scale specific to Turkey. This research was carried out on two different study groups for exploratory and confirmatory factor analysis studies. The study group formed for exploratory factor analysis consists of 521, and the group for confirmatory factor analysis consists of 243 elderly individuals.By the analyzes carried out, the KMO value of the Successful Aging Scale was found to be .97; validity and reliability analyzes were continued. It was obs… Show more
“…In our study, female participants had a higher dependency ratio on their children than male participants, which is not surprising given that females were encouraged to stay at home and take sole responsibility for domestic affairs and child care [2]. After examine the previous studies, it is seen that huge different in terms of demographic values conducted for active aging [19], [22], [32].…”
Section: Discussion/ Conclusionmentioning
confidence: 73%
“…Data adequacy: KMO and the Bartlett test of Sphericity ratio is > 0.5 for the data set to be considered suitable for further factor analysis [19]. The research revealed that the KMO coe cient was.0.701.…”
Section: Resultsmentioning
confidence: 98%
“…Convergent Validity: The total variance explained seven dimensions in which the variances among variables greater than critical value of 95% con dence (0.5). According to Yuksel and colleagues [19], factor load levels should be at least 0.40.…”
Section: Findings Regarding Validity Analysis Results Of Aas-pakmentioning
confidence: 99%
“…Therefore, researchers and policymakers' intent is to promote active aging interventions and strategies to promote healthy aging communities across the world. The scales of active aging, healthy aging, and successful aging inventories went through different editing and adapting processes in the previous studies [4], [17], [19], [20]. The measures that work well in general populations may not work well for older people [6].…”
Section: Introductionmentioning
confidence: 99%
“…It was necessary to con rm the construct validity of the translated instruments in the current data because these instruments are utilized in Western and in some other Asian civilizations with diverse populations and distinct cultures [14], [19]. Research has indicated that the common approach to checking validity is content validity and construct validity, which tell us regarding the adequacy of the construct to be measured [19].It explains the relevancy and comprehensibility of the mentioned items for the construct, context, and population of interest, so it is highly required to be examined [14]. It is evident from the previous studies that the adaptation process of a research scale does not have any universal agreement [8], [9].…”
Background: Active aging is define as older adults remaining active, connected, and contributing to society. To assess active aging in Pakistani elders, there is a scarcity of research tools to assess Active Aging levels in community-based older adults in Pakistan. Therefore, the aim of this study was to translate and validate the original English version of the Active Aging Scale into an Urdu version to measure active aging in community-based older adults in Pakistan.
Methods: We followed the guidelines of the International Society of Pharmacy Economic and Outcome Research (ISPOR) to translate the scale. The first phase consists of translation processes; the second phase is all about the validity and reliability of the scale. Construct validity, concurrent validity, and reliability were established for a 160-person sample of community-based older adults. The finding of test-retest reliability was performed after a two-week interval on the remaining 30% of the sample. For concurrent validity, the Successful Aging Scale (SAS) Urdu version was used as the gold standard and applied at the same time on the same sample. Data were analyzed in SPPSS version 23, and AMOS version 23.
Results: Our study pooled 29 items on the Active Aging Scale out of a possible 36. Two items were removed in the first process as not relevant to the context and two items that were not maintained inter-item covariance that is less than the value of 0.30 were removed. In the confirmatory factor analysis, three items with values below 0.40 in Varimax with Kaiser Normalization Rotation. Item loads ranged from 46 to 0.90, and were found to explain 65.42% of the total variance. Confirmatory factor analysis of the AAS shows Chi-squared (X2/df = 2.24) as the degree of freedom is acceptable when <3.00 in model fit indices. The root mean square error of approximation (RMSEA) is 0.042, the goodness of fit index (GFI) is 0.92, the adjusted goodness of fit index (AGFI) is 0.94, and the comparative fit index (CFI) values are 0.92 and 0.96, respectively, showing the good fit indices of the model. The test and retest reliability of the scale was significant (p=<0.05), and the Cronbach alpha of the scale is 0.92, which is reliable.
“…In our study, female participants had a higher dependency ratio on their children than male participants, which is not surprising given that females were encouraged to stay at home and take sole responsibility for domestic affairs and child care [2]. After examine the previous studies, it is seen that huge different in terms of demographic values conducted for active aging [19], [22], [32].…”
Section: Discussion/ Conclusionmentioning
confidence: 73%
“…Data adequacy: KMO and the Bartlett test of Sphericity ratio is > 0.5 for the data set to be considered suitable for further factor analysis [19]. The research revealed that the KMO coe cient was.0.701.…”
Section: Resultsmentioning
confidence: 98%
“…Convergent Validity: The total variance explained seven dimensions in which the variances among variables greater than critical value of 95% con dence (0.5). According to Yuksel and colleagues [19], factor load levels should be at least 0.40.…”
Section: Findings Regarding Validity Analysis Results Of Aas-pakmentioning
confidence: 99%
“…Therefore, researchers and policymakers' intent is to promote active aging interventions and strategies to promote healthy aging communities across the world. The scales of active aging, healthy aging, and successful aging inventories went through different editing and adapting processes in the previous studies [4], [17], [19], [20]. The measures that work well in general populations may not work well for older people [6].…”
Section: Introductionmentioning
confidence: 99%
“…It was necessary to con rm the construct validity of the translated instruments in the current data because these instruments are utilized in Western and in some other Asian civilizations with diverse populations and distinct cultures [14], [19]. Research has indicated that the common approach to checking validity is content validity and construct validity, which tell us regarding the adequacy of the construct to be measured [19].It explains the relevancy and comprehensibility of the mentioned items for the construct, context, and population of interest, so it is highly required to be examined [14]. It is evident from the previous studies that the adaptation process of a research scale does not have any universal agreement [8], [9].…”
Background: Active aging is define as older adults remaining active, connected, and contributing to society. To assess active aging in Pakistani elders, there is a scarcity of research tools to assess Active Aging levels in community-based older adults in Pakistan. Therefore, the aim of this study was to translate and validate the original English version of the Active Aging Scale into an Urdu version to measure active aging in community-based older adults in Pakistan.
Methods: We followed the guidelines of the International Society of Pharmacy Economic and Outcome Research (ISPOR) to translate the scale. The first phase consists of translation processes; the second phase is all about the validity and reliability of the scale. Construct validity, concurrent validity, and reliability were established for a 160-person sample of community-based older adults. The finding of test-retest reliability was performed after a two-week interval on the remaining 30% of the sample. For concurrent validity, the Successful Aging Scale (SAS) Urdu version was used as the gold standard and applied at the same time on the same sample. Data were analyzed in SPPSS version 23, and AMOS version 23.
Results: Our study pooled 29 items on the Active Aging Scale out of a possible 36. Two items were removed in the first process as not relevant to the context and two items that were not maintained inter-item covariance that is less than the value of 0.30 were removed. In the confirmatory factor analysis, three items with values below 0.40 in Varimax with Kaiser Normalization Rotation. Item loads ranged from 46 to 0.90, and were found to explain 65.42% of the total variance. Confirmatory factor analysis of the AAS shows Chi-squared (X2/df = 2.24) as the degree of freedom is acceptable when <3.00 in model fit indices. The root mean square error of approximation (RMSEA) is 0.042, the goodness of fit index (GFI) is 0.92, the adjusted goodness of fit index (AGFI) is 0.94, and the comparative fit index (CFI) values are 0.92 and 0.96, respectively, showing the good fit indices of the model. The test and retest reliability of the scale was significant (p=<0.05), and the Cronbach alpha of the scale is 0.92, which is reliable.
The study was conducted with older adults who lived in a nursing home and applied to the geriatric outpatient clinic of a university hospital between April and August 2022. The study sample was 516 older adults and the data were collected by using the Older Information Form and Successful Aging Scale (SAS). It was determined that the mean duration of daily leisure activities was 6.61 ± 3.69 hours, and their mean SAS score was 58.31 ± 15.21. A moderate positive correlation was found between the SAS scores of the older adults and the activities of shopping; whereas a low positive correlation was found between their SAS scores and activities of walking, visiting friends and relatives, growing flowers, listening to music, reading, hand knitting, spending time on social media, exercising, and puzzles ( p < .05). The main results of our study revealed that planned leisure activities that older adults engage in would contribute to their successful aging.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.