The Formulation of Social Neuroscience Midlife Crisis Predictability Apparatus for Midlife Progression
DOI:
https://doi.org/10.55544/ijrah.2.6.1Keywords:
apparatus, midlife crisis, social neuroscience, predictabilityAbstract
The purpose of this paper is studying the social brain in the context of neuroscience to unveil their intricate relationship between social environment and neuroscience responses by formulating an effective social neuroscience midlife crisis apparatus to help creating predictability of this phenomenal by preventing it from the earlier stage. The research design was taking a three fundamental levels. The foundational level to collect data from 32 middle aged homogeneous sampling of midlife crisis sufferers through qualitative content analysis design for social and neuroscience thematic by conducting an in depth interview. The verification level to guarantee the validity of the data collected through the selected tests for reaching the re-tested reliability data. The confirmatory level to administer the data through the quantitative survey methods by using self-portrayed midlife crisis experience and self-reported midlife crisis definition to investigate the causal relationship of social and neuroscience to reach an outcome, thereafter the outcome is compared with verified qualitative social neuroscience midlife crisis. Data were analysed by SPSS/Version 25 for principal components analysis. Results from N=32 focus group shows 3 social construct components with 10 neuro-response delineating to 45 unit of meaning of social neuroscience factors. The literature and focus study of total 79 combined factors under Tucker's congruence coefficient interpretation shows the desirable 44 social neuroscience factors in 3 components emerged as independent identity factors. Six midlife crisis expert of different field respondents’ validation by content validity index (CVI=0,906 value) has confirmed that the content is suitable to be used as the measurement for social-neuroscience midlife crisis. Pilot study N=34 analysis by content validity ratio (CVR=0.529 to 1) where 38 social neuroscience factors is retained and tested for internal consistency by communalities=0.5 results that all 38 items are relevant. Data comparison confirmatory by triangle test analysis in which Pearson correlation coefficient (r= > 0.75) shows a positive strong relationship between two sets of variables. The results conclude that there are 3 components, namely biological life faded moment, interior misery intensity and personal hibernating symptom with 38 social neuroscience factors in the predictability apparatus that influence midlife crisis and should be used as predicting and developing therapeutic intervention facility to conquer the midlife crisis. Contribution of Social neuroscience midlife crisis apparatus is an effective scaled system for early prediction and prevention to diminish midlife crisis rate of occurrence, ultimately the details unit of meaning crisis predictability factors scale to assure the accurate intervention devising instrument to social support services.
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Abd Halim, H., Abdul-Razak, S., Md Yasin, M., & Isa, M. R. (2020). Validation study of the parent attitudes about childhood vaccines (PACV) questionnaire: the Malay version. Human vaccines & immunotherapeutics, 16(5), 1040-1049.
Baghestani, A. R., Ahmadi, F., Tanha, A., & Meshkat, M. (2019). Bayesian critical values for Lawshe's content validity ratio. Measurement and Evaluation in Counseling and Development, 52(1), 69-73.
Bobos, P., MacDermid, J. C., Boutsikari, E. C., Lalone, E. A., Ferreira, L., & Grewal, R. (2020). Evaluation of the content validity index of the Australian/Canadian osteoarthritis hand index, the patient-rated wrist/hand evaluation and the thumb disability exam in people with hand arthritis. Health and quality of life outcomes, 18(1), 1-9.
Boey, L. H. (2022). Reposition Malaysian’s Social Neuroscience Life Cycle Paradigm to Resolve the Midlife Mystic. Integrated Journal for Research in Arts and Humanities (IJRH), 2(5), 118-128.
Boey, L. H., & Hatta, Z. A. (2022). The Exploration of Social Neuroscience Midlife Crisis in Malaysia. International Journal of Academic Research in Business and Social Sciences, 12(8), 545 – 557
Broulík, J. (2019). Preventing anticompetitive conduct directly and indirectly: accuracy versus predictability. The Antitrust Bulletin, 64(1), 115-127.
Donnally, S., & DiMarco, P. (2017). Managing Your Infrastructure’s Mid-Life Crisis: Strategic Pipeline Renewal for Distribution Mains. In Pipelines 2017 (pp. 370-380).
Fan, S., Dal Monte, O., & Chang, S. W. (2021). Levels of naturalism in social neuroscience research. IScience, 24(7), 102702.
Gee, D. G., & Cohodes, E. M. (2021). Influences of caregiving on development: A sensitive period for biological embedding of predictability and safety cues. Current directions in psychological science, 30(5), 376-383.
Gilbert, G. E., & Prion, S. (2016). Making sense of methods and measurement: Lawshe's content validity index. Clinical Simulation in Nursing, 12(12), 530-531.
Hair, J. F., LDS Gabriel, M., Silva, D. D., & Braga, S. (2019). Development and validation of attitudes measurement scales: fundamental and practical aspects. RAUSP Management Journal, 54, 490-507.
Jaques, E. (2018). Death and the mid-life crisis. In Is it Too Late? (pp. 1-26). Routledge.
KIRAN, E. (2020). Prominent Issues about the Social Impacts of Covid 19. Gaziantep University Journal of Social Sciences, 19(COVID-19 Special Issue), 752-766.
Klimczuk, A. (2016). Adulthood. A. Klimczuk, Adulthood,[in:] HL Miller (ed.), The SAGE Encyclopedia of Theory in Psychology, Sage, Thousand Oaks, 2016, 15-18.
Kovacic, D. (2018). Using the content validity index to determine content validity of an instrument assessing health care providers’ general knowledge of human trafficking. Journal of human trafficking, 4(4), 327-335.
Lee, S. J., Kim, M. G., Kim, J. H., Min, Y. S., Kim, C. H., Kim, K. T., & Hwang, J. M. (2022). Factor Analysis Affecting Degree of Depression in Family Caregivers of Patients with Spinal Cord Injury: A Cross-Sectional Pilot Study. International Journal of Environmental Research and Public Health, 19(17), 10878.
Li, X., Zhao, Z., & Liu, F. (2020). Big data assimilation to improve the predictability of COVID-19. Geography and Sustainability, 1(4), 317-320.
Lin, C. H., Cheng, H. M., Chuang, S. Y., & Chen, C. H. (2017). Vascular aging and cognitive dysfunction: silent midlife crisis in the brain. Pulse, 5(1-4), 127-132.
Liu, J., Singhal, T., Blessing, L. T., Wood, K. L., & Lim, K. H. (2021, August). Crisisbert: a robust transformer for crisis classification and contextual crisis embedding. In Proceedings of the 32nd ACM Conference on Hypertext and Social Media (pp. 133-141).
Lotfi, M., Bach, B., Amini, M., & Simonsen, E. (2018). Structure of DSM‐5 and ICD‐11 personality domains in Iranian community sample. Personality and Mental Health, 12(2), 155-169.
Mack, H., & Schroer, T. (2020). Security midlife crisis: Building security in a new world. IEEE Security & Privacy, 18(4), 72-74.
McClendon, J., Jackson, J. J., Bogdan, R., & Oltmanns, T. F. (2019). Trajectories of racial and gender health disparities during later midlife: Connections to personality. Cultural Diversity and Ethnic Minority Psychology, 25(3), 359.
Mehrad, A., & Zangeneh, M. H. T. (2019). Comparison between qualitative and quantitative research approaches: Social sciences. International Journal For Research In Educational Studies, Iran.
Montero, G. J. (2018). Elements for a metapsychology about midlife. In Updating midlife (pp. 129-148). Routledge.
Müller-Pinzler, L., Krach, S., Krämer, U. M., & Paulus, F. M. (2016). The social neuroscience of interpersonal emotions. Social behavior from rodents to humans, 241-256.
Ostaev, G. Y., Kondratyev, D. V., Kravchenko, N. A., & Nekrasova, E. V. (2020). Crisis identification and development of crisis management algorithm in the agricultural sector. Amazonia Investiga, 9(29), 316-326.
Rexford, J. (2019). Never waste a mid-life crisis: Change for the better. ACM SIGCOMM Computer Communication Review, 49(5), 12-13.
Schmidt, S. (2020). Midlife Crisis: The Feminist Origins of a Chauvinist Cliché. University of Chicago Press.
Scull, A. (2020). Borrowed time: Stealing an idea about adulthood. TLS. Times Literary Supplement, (6131), 26-27.
Vroomen, J. M., Bosmans, J. E., van Hout, H. P., & de Rooij, S. E. (2013). Reviewing the definition of crisis in dementia care. BMC geriatrics, 13(1), 1-12.
Vrtička, P. (2017). The social neuroscience of attachment. In Neuroscience and social science (pp. 95-119). Springer, Cham.
Waters, T. E., Facompré, C. R., Dagan, O., Martin, J., Johnson, W. F., Young, E. S., ... & Roisman, G. I. (2021). Convergent validity and stability of secure base script knowledge from young adulthood to midlife. Attachment & Human Development, 23(5), 740-760.
Woon, E., & Pang, A. (2017). Explicating the information vacuum: stages, intensifications, and implications. Corporate Communications: An International Journal.
Yu, S. O. (2015). Formation of personality psychological maturity and adulthood crises. Psychology in Russia: State of the art, 8(2), 99-112.
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