Cross-Temporal Meta-Analysis: A Conceptual and Empirical Critique

Rudolph, Cort W.; Costanza, David P.; Wright, Charlotte; Zacher, Hannes

doi:10.1007/s10869-019-09659-2

Cited by 32 publications

(25 citation statements)

References 75 publications

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“…Although research employing CTMA has argued that generations are more likely than period effects to explain observed differences, such work also recognizes that period effects are equally likely explanations for any results derived therefrom (e.g., Twenge & Campbell, 2010). Furthermore, a recent paper by Rudolph, Costanza, Wright, and Zacher (2019) used Monte Carlo simulations to test the underlying assumptions of CTMA, finding that it may misestimate cohort effects by a factor of three to eight times, raising questions about both the source and magnitude of any differences identified.…”

Section: Myth #5: Statistical Models Can Help Disentangle Generationamentioning

confidence: 99%

Generations and Generational Differences: Debunking Myths in Organizational Science and Practice and Paving New Paths Forward

et al. 2020

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Talk about generations is everywhere and particularly so in organizational science and practice. Recognizing and exploring the ubiquity of generations is important, especially because evidence for their existence is, at best, scant. In this article, we aim to achieve two goals that are targeted at answering the broad question: "What accounts for the ubiquity of generations despite a lack of evidence for their existence and impact?" First, we explore and "bust" ten common myths about the science and practice of generations and generational differences. Second, with these debunked myths as a backdrop, we focus on two alternative and complementary frameworks-the social constructionist perspective and the lifespan development perspective-with promise for changing the way we think about age, aging, and generations at work. We argue that the social constructionist perspective offers important opportunities for understanding the persistence and pervasiveness of generations and that, as an alternative to studying generations, the lifespan perspective represents a better model for understanding how age operates and development unfolds at work. Overall, we urge stakeholders in organizational science and practice (e.g., students, researchers, consultants, managers) to adopt more nuanced perspectives grounded in these models, rather than a generational perspective, to understand the influence of age and aging at work. Keywords Generations. Generational differences. Constructionist perspectives. Lifespan development People commonly talk about generations and like to make distinctions between them. Purported differences between generations have been blamed for everything from declining interest in baseball (Keeley, 2016) to changing patterns of processed cheese consumption (Mulvany & Patton, 2018). In the workplace, generations and generational differences have been credited for everything from declining levels of work ethic (e.g., Cenkus, 2017; cf. Zabel, Biermeier-Hanson, Baltes, Early, & Shepard, 2017), to higher rates of "job-hopping" (e.g., Adkins, 2016; cf. Costanza, Badger,

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Section: Myth #5: Statistical Models Can Help Disentangle Generationamentioning

confidence: 99%

Generations and Generational Differences: Debunking Myths in Organizational Science and Practice and Paving New Paths Forward

et al. 2020

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“…We acknowledge the limitations of and the concerns related to cross-temporal meta-analyses (e.g. concerns of differentiating cohort and period effects, Rudolph, Costanza, Wright, & Zacher, 2019; concerns of how to compute the effect size, Trzesniewski & Donnellan, 2010). However, the findings obtained in cross-temporal meta-analysis should not be ignored (Kashima, 2014).…”

Section: Discussionmentioning

confidence: 99%

Self–Esteem among Chinese Cohorts: Its Temporal Trend and Its Relationships with Socioecological Factors, 1993–2016

Mei

et al. 2020

Eur J Pers

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Self‐esteem affects individuals in a variety of psychological processes substantially and extensively. While an increase in self‐esteem over time was observed in the USA, different patterns of temporal change in self‐esteem were observed in other societies. We analysed the responses (n = 305 229) collected between 1993 and 2016 from 609 articles to examine the patterns of temporal change in self‐esteem in China and its relations with socioecological conditions. Additionally, we explored the patterns in different groups, including secondary school students (158 samples; n = 97 751), college students (427 samples; n = 153 474), and community participants (232 samples; n = 54 004). Some major findings were noted: (i) overall, the level of self‐esteem increased over time. However, we also found a significant curvilinear trend in self‐esteem with a decline followed by a recent increase; (ii) some evidence for the relationship between socioecological factors and self‐esteem was obtained; and (iii) the patterns varied in different cohort groups. Specifically, secondary school students showed a different pattern, in which their self‐esteem level did not show a significant linear trend and was not correlated with the examined socioecological factors. The implications on the theories for the relationship between personality characteristics and socioecological conditions were discussed. © 2020 European Association of Personality Psychology

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“…We also admitted the influence of economic income on happiness has the same limitation. Fifth, in regard to methodology, the method of cross-temporal meta-analysis misestimating effects has been challenged by some researchers (e.g., Rudolph et al, 2019). Therefore, we recommend that future research should consider the method proposed by Rudolph et al (2019) to verify the reliability of the results.…”

Section: Discussionmentioning

confidence: 99%

Birth Cohort Changes in the Subjective Well-Being of Chinese College Students: A Cross-Temporal Meta-Analysis, 2002–2017

Liu

2020

Front. Psychol.

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According to the happiness-income paradox, economic growth within a country does not necessarily lead to an increase in well-being. However, previous literature also showed that economic growth has a greater impact on well-being in a low-income country than a high-income country. China is a typical developing country that has experienced dramatic development in recent decades. How did the well-being of the Chinese change? To examine birth cohort changes in Chinese college students' subjective well-being, a cross-temporal meta-analysis that involved 100 studies was conducted (106 data points, N = 55,830). The results showed that Chinese college students' well-being increased by at least 0.45 standard deviations from 2002 to 2017. In addition, their subjective wellbeing was significantly correlated with social indicators (e.g., GDP per capita, divorce rate, and university enrollment rate) for the corresponding years and 3 years prior to the collection of subjective well-being data. It is evident that social changes play an important role in predicting changes in well-being.

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Cross-Temporal Meta-Analysis: A Conceptual and Empirical Critique

Cited by 32 publications

References 75 publications

Generations and Generational Differences: Debunking Myths in Organizational Science and Practice and Paving New Paths Forward

Generations and Generational Differences: Debunking Myths in Organizational Science and Practice and Paving New Paths Forward

Self–Esteem among Chinese Cohorts: Its Temporal Trend and Its Relationships with Socioecological Factors, 1993–2016

Birth Cohort Changes in the Subjective Well-Being of Chinese College Students: A Cross-Temporal Meta-Analysis, 2002–2017

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