Rural-to-urban Migration and Rising Evaluation Standards for Subjective Social Status in Contemporary China

Wang, Jia

doi:10.1007/s11205-016-1457-4

Cited by 22 publications

(16 citation statements)

References 31 publications

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“…Now, scholars have begun to pay attention to the differences in subjective class identification. In the past, the subjects of the study have mainly been urban residents and migrant workers, and these studies have mainly explored the impact of a series of factors, such as life experience, administrative level, the father's professional reputation, and housing consumption, on class identification (Zhao and Ge, 2014 ; Wang, 2017 ; Rubin and Stuart, 2018 ; Reeves, 2019 ; Lee et al, 2020 ). Regarding the focus of the research, which is advocacy related to pursuing equality between men and women, the current research object is mainly female groups, the analysis of which may improve to a certain degree of research significance the understanding of the class identity of female groups (Bolzendahl and Myers, 2004 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…This phenomenon is reflected in a series of female groups comprising rural women. The investigation and research reveals that rural women's class identification comes more from their own working conditions, the education level of their mothers and themselves, and the participation of the community, as well as the interpersonal communication with the people inside and outside the village (Michelson, 2007 ; Wang, 2017 ). Therefore, we can define the following as factors that affect women's class identification: gender consciousness, intergenerational influence of mothers, lifestyle, and spouse status.…”

Section: Literature Reviewmentioning

confidence: 99%

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What Dominates the Female Class Identification? Evidence From China

et al. 2021

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In advocating gender equality today, we should not only pay attention to women's social status but also call for the women's psychological identification of class equality. What dominates female class identification? To answer this question, based on the data of the Chinese General Social Survey (CGSS) in 2015, this study constructs a female class identity framework from five aspects: the mother's intergenerational influence, female personal characteristics, lifestyle, gender consciousness, and spouse status. In this study, the ordered logit model is used to empirically analyze the impact of various factors on female class identification, and the results show the following: (1) gender consciousness has a significant impact on female class identification. (2) Lifestyle has a significant impact on the situation of having a spouse. (3) Spouse status has a significant positive effect on female class identification. But (4) the mother's intergenerational influence has no effect on female class identification. Therefore, this paper suggests that we should improve laws and regulations to protect women's normal rights, encourage women to establish an independent and self-improvement character, and enhance the class consciousness of women, especially rural women, in order to achieve the overall improvement of female class and psychological identification.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

What Dominates the Female Class Identification? Evidence From China

et al. 2021

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“…Anchoring vignettes can therefore be used to adjust subjective measures by purging reporting heterogeneity from the self-assessed measures, making the adjusted self-assessment better comparable across individuals. Anchoring vignettes have been used in many research areas such as health [ 47 – 54 ], healthcare [ 55 , 56 ], subjective well-being and quality of life [ 46 , 57 – 60 ], political efficacy [ 45 , 61 ], job satisfaction [ 62 ], working disability [ 63 ] and social status [ 64 ].…”

Section: Introductionmentioning

confidence: 99%

The association between depressive symptoms and self-reported sleep difficulties among college students: Truth or reporting bias?

Huang

Kämpfen

2021

PLoS ONE

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The strong association between self-reported sleep difficulties and depressive symptoms is well documented. However, individuals who suffer from depressive symptoms could potentially interpret the values attached to a subjective scale differently from others, making comparisons of sleep difficulties across individuals with different depressive symptoms problematic. The objective of this study is to determine the existence and magnitude of reporting heterogeneity in subjective assessment of sleep difficulties by those who have depressive symptoms. We implement an online survey using Visual Analogue Scales and anchoring vignettes to study the comparability of subjective assessments of sleep difficulties among college students in Switzerland (N = 1, 813). Using multivariate linear regressions and double-index models, our analysis shows that reporting heterogeneity plays only a marginal role in moderating the association between sleep difficulties and depression, irrespective of the severity of the depressive symptoms of the individuals. This suggests that unadjusted comparisons of self-reported sleep difficulties between college students are meaningful, even among individuals with depressive symptoms.

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“…Anchoring vignettes have been included in many social surveys including the Health and Retirement Study (HRS), the Survey of Health, Aging and Retirement in Europe (SHARE), the WHO Study on Global Aging and Adult Health (SAGE) and the China Health and Retirement Longitudinal Study (CHARLS) to name but a new. The methodology of anchoring vignettes, has been used for a broad range of interpersonal comparisons with regard to health [ 3 , 8 – 14 ], healthcare [ 15 , 16 ], political efficacy [ 1 , 17 , 18 ], life satisfaction [ 19 – 22 ], job satisfaction [ 23 ], working disability [ 2 ], social status [ 24 ], poverty [ 22 ] and quality of life [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

An extended hierarchical ordered probit model robust to heteroskedastic vignette perceptions with an application to functional limitation assessment

2021

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To improve interpersonal comparability of self-reported measures, anchoring vignettes are increasingly collected in surveys and modeled as the hierarchical ordered probit (HOPIT) model. This paper—based on the idea of psychological distance—relaxes the assumption of vignette equivalence in the HOPIT by allowing for heteroscedasticity in respondents’ perceptions of vignettes. Particularly, we assume that respondents who are more similar to a vignette are more familiar with the condition described and therefore are capable of forming a more precise perception of the vignette. We show evidence in favor of this extended HOPIT through Monte Carlo simulations and an application concerning self-reported vision difficulty from the WHO Study on Global Aging and Adult Health (SAGE).

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Rural-to-urban Migration and Rising Evaluation Standards for Subjective Social Status in Contemporary China

Cited by 22 publications

References 31 publications

What Dominates the Female Class Identification? Evidence From China

What Dominates the Female Class Identification? Evidence From China

The association between depressive symptoms and self-reported sleep difficulties among college students: Truth or reporting bias?

An extended hierarchical ordered probit model robust to heteroskedastic vignette perceptions with an application to functional limitation assessment

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