Measuring Fluid Intelligence in Healthy Older Adults
The present study evaluated subjective and objective cognitive measures as predictors of fluid intelligence in healthy older adults. We hypothesized that objective cognitive measures would predict fluid intelligence to a greater degree than self-reported cognitive functioning. Ninety-three healthy o...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Aging Research |
| Online Access: | http://dx.doi.org/10.1155/2017/8514582 |
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| author | Mohammed K. Shakeel Vina M. Goghari |
| author_facet | Mohammed K. Shakeel Vina M. Goghari |
| author_sort | Mohammed K. Shakeel |
| collection | DOAJ |
| description | The present study evaluated subjective and objective cognitive measures as predictors of fluid intelligence in healthy older adults. We hypothesized that objective cognitive measures would predict fluid intelligence to a greater degree than self-reported cognitive functioning. Ninety-three healthy older (>65 years old) community-dwelling adults participated. Raven’s Advanced Progressive Matrices (RAPM) were used to measure fluid intelligence, Digit Span Sequencing (DSS) was used to measure working memory, Trail Making Test (TMT) was used to measure cognitive flexibility, Design Fluency Test (DFT) was used to measure creativity, and Tower Test (TT) was used to measure planning. The Cognitive Failures Questionnaire (CFQ) was used to measure subjective perceptions of cognitive functioning. RAPM was correlated with DSS, TT, and DFT. When CFQ was the only predictor, the regression model predicting fluid intelligence was not significant. When DSS, TMT, DFT, and TT were included in the model, there was a significant change in the model and the final model was also significant, with DFT as the only significant predictor. The model accounted for approximately 20% of the variability in fluid intelligence. Our findings suggest that the most reliable means of assessing fluid intelligence is to assess it directly. |
| format | Article |
| id | doaj-art-9650f66029a144b991acbccf3e3f9265 |
| institution | Kabale University |
| issn | 2090-2204 2090-2212 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Aging Research |
| spelling | doaj-art-9650f66029a144b991acbccf3e3f92652025-02-03T01:22:21ZengWileyJournal of Aging Research2090-22042090-22122017-01-01201710.1155/2017/85145828514582Measuring Fluid Intelligence in Healthy Older AdultsMohammed K. Shakeel0Vina M. Goghari1Department of Psychology, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, CanadaDepartment of Psychology, University of Toronto, 1265 Military Trail, Toronto, ON, M1C 1A4, CanadaThe present study evaluated subjective and objective cognitive measures as predictors of fluid intelligence in healthy older adults. We hypothesized that objective cognitive measures would predict fluid intelligence to a greater degree than self-reported cognitive functioning. Ninety-three healthy older (>65 years old) community-dwelling adults participated. Raven’s Advanced Progressive Matrices (RAPM) were used to measure fluid intelligence, Digit Span Sequencing (DSS) was used to measure working memory, Trail Making Test (TMT) was used to measure cognitive flexibility, Design Fluency Test (DFT) was used to measure creativity, and Tower Test (TT) was used to measure planning. The Cognitive Failures Questionnaire (CFQ) was used to measure subjective perceptions of cognitive functioning. RAPM was correlated with DSS, TT, and DFT. When CFQ was the only predictor, the regression model predicting fluid intelligence was not significant. When DSS, TMT, DFT, and TT were included in the model, there was a significant change in the model and the final model was also significant, with DFT as the only significant predictor. The model accounted for approximately 20% of the variability in fluid intelligence. Our findings suggest that the most reliable means of assessing fluid intelligence is to assess it directly.http://dx.doi.org/10.1155/2017/8514582 |
| spellingShingle | Mohammed K. Shakeel Vina M. Goghari Measuring Fluid Intelligence in Healthy Older Adults Journal of Aging Research |
| title | Measuring Fluid Intelligence in Healthy Older Adults |
| title_full | Measuring Fluid Intelligence in Healthy Older Adults |
| title_fullStr | Measuring Fluid Intelligence in Healthy Older Adults |
| title_full_unstemmed | Measuring Fluid Intelligence in Healthy Older Adults |
| title_short | Measuring Fluid Intelligence in Healthy Older Adults |
| title_sort | measuring fluid intelligence in healthy older adults |
| url | http://dx.doi.org/10.1155/2017/8514582 |
| work_keys_str_mv | AT mohammedkshakeel measuringfluidintelligenceinhealthyolderadults AT vinamgoghari measuringfluidintelligenceinhealthyolderadults |