The meta-narrative of self-fulfilling prophecy in the different research areas

Almadi, Sejla

doi:10.1556/204.2022.00001

SocEc

2022

DOI: 10.1556/204.2022.00001

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The meta-narrative of self-fulfilling prophecy in the different research areas

Sejla Almadi

Abstract: The self-fulfilling prophecy is a ubiquitous concept with a large amount of research to date, characterised by disciplinary diversity and thus a potential plurality in its narrative. A meta-narrative review was implemented to analyse the narratives of self-fulfilling prophecy in the different research areas. It identified 10 research areas, 22 themes and 7 subthemes where the phenomenon was adopted to describe and explain phenomena/events/outcomes. It revealed the self-fulfilling prophecy’s meta-narrative in t… Show more

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2024

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Cited by 3 publications

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Self-Rated Health in Middle Age and Risk of Hospitalizations and Death: Recurrent Event Analysis of the ARIC Study

Mu,

Hicks,

Daya

et al. 2024

J GEN INTERN MED

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Background Self-rated health is a simple measure that may identify individuals who are at a higher risk for hospitalization or death. Objective To quantify the association between a single measure of self-rated health and future risk of recurrent hospitalizations or death. Participants Atherosclerosis Risk in Communities (ARIC) study, a community-based prospective cohort study of middle-aged men and women with follow-up beginning from 1987 to 1989. Main Measures We quantified the associations between initial self-rated health with risk of recurrent hospitalizations and of death using a recurrent events survival model that allowed for dependency between the rates of hospitalization and hazards of death, adjusted for demographic and clinical factors. Key Results Of the 14,937 ARIC cohort individuals with available self-rated health and covariate information, 34% of individuals reported “excellent” health, 47% “good,” 16% “fair,” and 3% “poor” at study baseline. After a median follow-up of 27.7 years, 1955 (39%), 3569 (51%), 1626 (67%), and 402 (83%) individuals with “excellent,” “good,” “fair,” and “poor” health, respectively, had died. After adjusting for demographic factors and medical history, a less favorable self-rated health status was associated with increased rates of hospitalization and death. As compared to those reporting “excellent” health, adults with “good,” “fair,” and “poor” health had 1.22 (1.07 to 1.40), 2.01 (1.63 to 2.47), and 3.13 (2.39 to 4.09) times the rate of hospitalizations, respectively. The hazards of death also increased with worsening categories of self-rated health, with “good,” “fair,” and “poor” health individuals experiencing 1.30 (1.12 to 1.51), 2.15 (1.71 to 2.69), and 3.40 (2.54 to 4.56) times the hazard of death compared to “excellent,” respectively. Conclusions Even after adjusting for demographic and clinical factors, having a less favorable response on a single measure of self-rated health taken in middle age is a potent marker of future hospitalizations and death.

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Self-Rated Health in Middle Age and Risk of Hospitalizations and Death: Recurrent Event Analysis of the ARIC Study

Mu,

Hicks,

Daya

et al. 2024

J GEN INTERN MED

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Unraveling stock market crashes: insights from behavioral psychology

Song

2024

RBF

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PurposeA novel psychology-based framework is proposed to investigate the causes of stock market crashes.Design/methodology/approachOur approach builds upon the dynamic capital mobility model, expanding it by incorporating bidirectional relationships between investor sentiment and the average stock market price level. Investor sentiment is measured in terms of jumping rates of investors’ attitudes to the stock market in our model. The role and impact of investor sentiment on the average stock market price level are further clarified across various scenarios through simulations.FindingsOur model provides a direct quantification of the influence of investor sentiment on stock market price dynamics, shedding light on an alternative mechanism contributing to stock market crashes alongside fundamental changes. Our simulation results confirm that optimistic investor sentiment can mitigate the magnitude of negative stock market price movements triggered by adverse fundamental changes. Our model also indicates that the stock market price level may exhibit higher volatility than can be attributed to fundamental changes.Research limitations/implicationsOur study only briefly touches on the origins of shifts in investor sentiment by introducing a self-fulfilling feedback loop from the average stock market price level to investor sentiment. In future research, we will identify other key factors contributing to shifts in investor sentiment and subsequently analyze their influence on investor sentiment.Practical implicationsOur findings carry practical implications for recent and future movements in the US stock market. For instance, despite the Federal Reserve’s continuous interest rate hikes since March 2022, the overall optimistic investor sentiment has helped mitigate a severe downward movement in the stock market. However, in the absence of clear indications of a loose monetary policy, a rapid shift of investor sentiment from optimism to pessimism in the US stock market could potentially lead to a historic stock market crash.Originality/valueWhile the significance of investor sentiment in shaping stock market price dynamics, particularly regarding cross-sectional variations of stock returns, is widely recognized, quantifying directly its impact on the average stock market price level has remained a persistent challenge. Only very limited literature has delved into this subject, often hindered by a lack of theoretical support or yielding inconsistent results.

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Kendini Gerçekleştiren Kehanet Olgusu: Akademisyenlerin Çalışma Ortamındaki İzlenimleri Üzerine Nitel Bir Araştırma

Mendi,

Orhan

2024

Cumhuriyet Üniversitesi İktisadi Ve İdari Bilimler Dergisi

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Araştırmanın amacı, akademisyenlerin kendini gerçekleştiren kehanete ilişkin izlenimlerini detayları ile ortaya koymaktır. Araştırmanın deseni olgu bilim olarak tasarlanmıştır. Araştırmanın örneklemini, Van Yüzüncü Yıl Üniversitesinde çalışan ve kasıtlı örneklem tekniği ile seçilen on beş akademisyen oluşturmaktadır. Araştırmada iki adet ölçek kullanılmıştır. Ölçeklerden ilki demografi ölçeğidir. Diğer ölçek ise, Rao ve Sharma tarafından 2016 yılında geliştirilen Kendini Gerçekleştiren Kehanet ölçeğidir. Araştırmadaki veriler yarı yapılandırılmış görüşme formu ile toplanarak nitel içerik analiz yöntemi ile değerlendirilmiştir. Araştırma bulguları sekiz tema şeklinde ortaya koyulmuştur. Bulgulanan temalar arasında; sorumluluk ve performans bilinci, bireysel kapasite öz yeterlilik ve performansa dayalı liyakat, öğrenmeye açık olma ve kendini geliştirme arzusu, işsizlik ve amaç noksanlığı, nepotizm, akademisyen olma arzusu, şımarma ihtimali ve yaş yer almaktadır. En fazla bulgulanan temaların sorumluluk ve performans bilinci ile bireysel kapasite öz yeterlilik ve performansa dayalı liyakat, en az bulgulanan temanın ise akademisyen olma isteği olması çalışmanın bulgularından bazılarıdır. Araştırma bulgularının alan yazınına ve ilgili sektörlere katkı sunması ümit edilmektedir.

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The meta-narrative of self-fulfilling prophecy in the different research areas

Cited by 3 publications

References 84 publications

Self-Rated Health in Middle Age and Risk of Hospitalizations and Death: Recurrent Event Analysis of the ARIC Study

Self-Rated Health in Middle Age and Risk of Hospitalizations and Death: Recurrent Event Analysis of the ARIC Study

Unraveling stock market crashes: insights from behavioral psychology

Kendini Gerçekleştiren Kehanet Olgusu: Akademisyenlerin Çalışma Ortamındaki İzlenimleri Üzerine Nitel Bir Araştırma

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