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İleri Yetişkinlerin Kendi Yaş Gruplarına Yönelik Stereotiplerin Belirlenmesi: Bir Ölçek Geliştirme Çalışması

Year 2024, Volume: 12 Issue: 2, 532 - 543, 29.10.2024
https://doi.org/10.18795/gumusmaviatlas.1513153

Abstract

İleri yetişkinler stereotiplere en fazla maruz kalan ve bu stereotiplerle baş etmek durumunda olan gruplardan biridir. Bu çalışmada, ileri yetişkinlerin (65+) kendi yaş gruplarına yönelik stereotip düzeylerini belirlemek için bir ölçek geliştirmek amaçlanmıştır. Çalışmaya, Türkiye’nin farklı şehirlerinde yaşayan, her hangi bir nörolojik tanısı olmayan 297 katılımcı dâhil edilmiştir. Katılımcıların yaş aralığı 65 ile 91 arasında değişmektedir (Ort.yaş = 71.66, SS = 6.52). Tamamen gönüllük esasına dayalı bir olan araştırmada veriler anket yöntemi ile yüz yüze toplanmıştır. Katılımcılara alan yazından faydalanılarak ileri yetişkinlere yönelik oluşturulan dokuz farklı stereotipe ne kadar katılıp katılmadığı sorulmuştur. Verilerin faktör analizine uygunluğunu ve örneklemin yeterliliğini test etmek için Kaiser-Meyer-Olkin (KMO) katsayısı ve Bartlett Küresellik Testi (BKT) kullanılmıştır. KMO katsayısı (.826) ve BKT'nin anlamlılığı (χ² (36) = 664.204; p < 0.001) ölçeğin faktör analizine uygun olduğunu ve verilerin çok değişkenli normal dağılımdan geldiğini göstermiştir. Gerçekleştirilen AFA sonucunda ölçeğin dokuz maddeden oluşan tek faktörlü bir yapı oluşturduğu görülmüştür. Ölçüm aracının faktör yükleri .32 ile .70 arasında değişmektedir ve maddelerdeki ortak varyansın %40 olduğu görülmektedir. DFA sonuçları da maddelerin tek faktörde toplandığını ve uyum iyiliği değerlerinin kabul edilebilir düzeyde olduğunu göstermiştir, χ²/SS = 2.682, RMSEA = .075, CFI = 0.932, TLI = .905, SRMR = .042. Cronbach alfa katsayısı ise 0.80 olarak bulunmuştur. Sonuç olarak, bu ölçeğin ileri yetişkinlerin kendi yaş gruplarına yönelik stereotipleri değerlendirmek için güvenilir ve geçerli bir ölçek olduğu söylenebilir. Bunun yanında, hem ülkemizde hem de yurt dışında ilk olma özelliğine sahiptir ve ileri yetişkinlere yönelik önyargı ve ayrımcılığın kapsamlı bir şekilde araştırılmasını ve anlaşılmasını sağlayacaktır.,

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Year 2024, Volume: 12 Issue: 2, 532 - 543, 29.10.2024
https://doi.org/10.18795/gumusmaviatlas.1513153

Abstract

References

  • American Psychological Association. (2016). Older adults’ health and age-related changes. https://www.apa.org/pi/aging/resources/guides/older
  • American Psychological Association. (2017a). Older adults’ health and age-related changes: Reality versus myth. https://www.apa.org/pi/aging/resources/guides/myth-reality.pdf
  • American Psychological Association. (2017b). A snapshot of today’s older adults and facts to help dispel myths about aging. https://www.apa.org/pi/aging/resources/guides/older
  • American Psychological Association. (2020). APA resolution on ageism. https://www.apa.org/about/policy/resolution-ageism.pdf
  • American Psychological Association. (2023). Ageism is one of the last socially acceptable prejudices. Psychologists are working to change that. https://www.apa.org/monitor/2023/03/cover-new-concept-of-aging
  • Arpacı, F. (2005). Farklı boyutlarıyla yaşlılık. Türkiye İşçi Emeklileri Derneği Eğitim ve Kültür Yayınları.
  • Arrhenius, G., Bykvist, K., Campbell, T., & Finneron-Burns, E. (2022). The Oxford handbook of population ethics. Oxford University Press.
  • Barber, S. J., & Mather, M. (2014). Stereotype threat in older adults: When and why does it occur, and who is most affected? In P. Verhaeghen & C. Hertzog (Eds.), The Oxford handbook of emotion, social cognition, and problem solving during adulthood (pp. 302-320). Oxford University Press.
  • Barber, S. J., Mather, M., & Gatz, M. (2015). How stereotype threat affects healthy older adults’ performance on clinical assessments of cognitive decline: The key role of regulatory fit. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences, 70(6), 891–900. https://doi.org/10.1093/geronb/gbv009
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  • Bilgin, N. (2003). Sosyal psikoloji sözlüğü: Kavramlar, yaklaşımlar. Baǧlam Yayıncılık.
  • Blum, L. (2004). Stereotypes and stereotyping: A moral analysis. Philosophical Papers, 33(3), 251-289. https://doi.org/10.1080/05568640409485143
  • Cary, L. A., & Chasteen, A. L. (2015). Age stereotypes and age stigma: Connections to research on subjective aging. Annual Review of Gerontology and Geriatrics, 35(1), 99-119. https://doi.org/10.1891/0198-8794.35.99
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  • Dionigi, R. A. (2015). Stereotypes of aging: Their effects on the health of older adults. Journal of Geriatrics, 2015(1), 1-9. http://dx.doi.org/10.1155/2015/954027
  • Eibach, R. P., Mock, S. E., & Courtney, E. A. (2010). Having a “senior moment”: Induced aging phenomenology, subjective age and susceptibility to ageist stereotypes. Journal of Experimental Social Psychology, 46(4), 643-649. https://doi.org/10.1016/j.jesp.2010.03.002
  • Eich, T., Murayama, K., Castel, A., & Knowlton, B. (2014). The dynamic effects of age-related stereotype threat on explicit and implicit memory performance in older adults. Social Cognition, 32(6), 559-570. https://doi.org/10.1521/soco.2014.32.6.559
  • Emile, M., Chalabaev, A., Stephan, Y., Corrion, K., & d'Arripe-Longueville, F. (2014). Aging stereotypes and active lifestyle: Personal correlates of stereotype internalization and relationships with level of physical activity among older adults. Psychology of Sport and Exercise, 15(2), 198-204. https://doi.org/10.1016/j.psychsport.2013.11.002
  • Erens, B., Mitchell, K. R., Gibson, L., Datta, J., Lewis, R., Field, N., & Wellings, K. (2019). Health status, sexual activity and satisfaction among older people in Britain: A mixed methods study. PloS One, 14(3), e0213835. https://doi.org/10.1371/journal.pone.0213835
  • Everitt, B. S. (1975). Multivariate analysis: The need for data and other problems. The British Journal of Psychiatry, 126(3), 237-240. https://doi.org/10.1192/bjp.126.3.237
  • Field, A. (2009). Discovering statistics using SPSS (3rd ed.). Sage Publications.
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  • Garson, G. D. (2012). Testing statistical assumptions. Statistically Associated Publishing.
  • Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Psychology Press.
  • Gour, L., Maurya, S. B., Koutu, G. K., Singh, S. K., Shukla, S. S., & Mishra, D. K. (2017). Characterization of rice (Oryza sativa L.) genotypes using principal component analysis including scree plot & rotated component matrix. International Journal of Chemical Studies, 5(4), 975-83.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Prentice Hall.
  • Hajjar, S. T. (2018). Statistical analysis: Internal-consistency reliability and construct validity. International Journal of Quantitative and Qualitative Research Methods, 6(1), 27-38.
  • Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2008). Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced?. Psychological Science in the Public Interest, 9(1), 1-65. https://doi.org/10.1111/j.1539-6053.2009.01034.x
  • Hess, T. M., Auman, C., Colcombe, S. J., & Rahhal, T. A. (2003). The impact of stereotype threat on age differences in memory performance. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences, 58(1), 3-11. https://doi.org/10.1093/geronb/58.1.P3
  • Hess, T. M., Growney, C. M., & Lothary, A. F. (2019). Motivation moderates the impact of aging stereotypes on effort expenditure. Psychology and Aging, 34(1), 56-65. https://doi.org/10.1037/pag0000291
  • Hess, T. M., & Hinson, J. R. (2006). Age-related variation in the influences of stereotypes on memory in adulthood. Psychology and Aging, 21(3), 621–625. https://doi.org/10.1037/0882-7974.21.3.621
  • Hu, L. T., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
  • Jordano, M. L., & Touron, D. R. (2017). Stereotype threat as a trigger of mind-wandering in older adults. Psychology and Aging, 32(3), 307-313. https://doi.org/10.1037/pag0000167
  • Kornadt, A. E., & Rothermund, K. (2011). Contexts of aging: Assessing evaluative age stereotypes in different life domains. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 66(5), 547-556. https://doi.org/10.1093/geronb/gbr036
  • Kline, P. B. (2015). An introduction to statistical analysis for the helping professions (3rd ed.). Brooks/Cole.
  • Kline, R. B. (2016). Principles and practice of structural equation modeling. Guilford Publications.
  • Krings, F., Sczesny, S., & Kluge, A. (2011). Stereotypical inferences as mediators of age discrimination: The role of competence and warmth. British Journal of Management, 22(2), 187-201. https://doi.org/10.1111/j.1467-8551.2010.00721.x
  • Levy, B. (2009). Stereotype embodiment: A psychosocial approach to aging. Current Directions in Psychological Science, 18(6), 332-336. https://doi.org/10.1111/j.1467-8721.2009.01662.x
  • Levy, B. R., Zonderman, A. B., Slade, M. D., & Ferrucci, L. (2009). Age stereotypes held earlier in life predict cardiovascular events in later life. Psychological Science, 20(3), 296-298. https://doi.org/10.1111/j.1467-9280.2009.02298.x
  • Leyens, J. P. (1983). Sommes-nous tous des psychologues? Pierre Margada.
  • Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling, 11(3), 320-341. https://doi.org/10.1207/s15328007sem1103_2
  • Marquet, M., Chasteen, A. L., Plaks, J. E., & Balasubramaniam, L. (2019). Understanding the mechanisms underlying the effects of negative age stereotypes and perceived age discrimination on older adults’ well-being. Aging & Mental Health, 23(12), 1666-1673. https://doi.org/10.1080/13607863.2018.1514487
  • McConatha, J. T., Kumar, V. K., & Magnarelli, J. (2022). Ageism, job engagement, negative stereotypes, intergenerational climate, and life satisfaction among middle-aged and older employees in a university setting. International Journal of Environmental Research and Public Health, 19(13), 7554. https://doi.org/10.3390/ijerph19137554
  • Muthén, L. K., & Muthén, B. O. (2017). Mplus: Statistical analysis with latent variables: User’s guide (8th ed.). CA: Muthén & Muthén
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There are 63 citations in total.

Details

Primary Language Turkish
Subjects Social Development, Statistical Analysis Methods, Psychology of Ageing
Journal Section Research Article
Authors

Bahtım Kütük 0000-0001-7190-6190

Banu Çengelci Özekes 0000-0001-5020-9417

Publication Date October 29, 2024
Submission Date July 9, 2024
Acceptance Date September 5, 2024
Published in Issue Year 2024 Volume: 12 Issue: 2

Cite

APA Kütük, B., & Çengelci Özekes, B. (2024). İleri Yetişkinlerin Kendi Yaş Gruplarına Yönelik Stereotiplerin Belirlenmesi: Bir Ölçek Geliştirme Çalışması. Mavi Atlas, 12(2), 532-543. https://doi.org/10.18795/gumusmaviatlas.1513153

e-ISSN: 2148-5232