Who theorizes age? The "socio-demographic variables" device and age-period-cohort analysis in the rhetoric of survey research

被引:4
|
作者
Rughinis, Cosima [1 ]
Huma, Bogdana [2 ]
机构
[1] Univ Bucharest, Bucharest 010181, Romania
[2] Univ Loughborough, Loughborough LE11 3TU, Leics, England
关键词
Age; Aging; Rhetoric of inquiry; Socio-demographic variables; Survey; Public Understanding of Science; SELF-ATTRIBUTED IGNORANCE; GENDER-DIFFERENCES; SCIENTIFIC KNOWLEDGE; SCIENCE; ATTITUDES; ETHNICITY; EVOLUTION; LITERACY; HEALTH; MODEL;
D O I
10.1016/j.jaging.2015.07.005
中图分类号
R4 [临床医学]; R592 [老年病学];
学科分类号
1002 ; 100203 ; 100602 ;
摘要
In this paper we argue that quantitative survey-based social research essentializes age, through specific rhetorical tools. We outline the device of 'socio-demographic variables' and we discuss its argumentative functions, looking at scientific survey-based analyses of adult scientific literacy, in the Public Understanding of Science research field. 'Socio-demographics' are virtually omnipresent in survey literature: they are, as a rule, used and discussed as bundles of independent variables, requiring little, if any, theoretical and measurement attention. 'Socio-demographics' are rhetorically effective through their common-sense richness of meaning and inferential power. We identify their main argumentation functions as 'structure building', 'pacification', and 'purification'. Socio-demographics are used to uphold causal vocabularies, supporting the transmutation of the descriptive statistical jargon of 'effects' and 'explained variance' into 'explanatory factors'. Age can also be studied statistically as a main variable of Interest, through the age-period-cohort (APC) disambiguation technique. While this approach has generated interesting findings, it did not mitigate the reductionism that appears when treating age as a socio-demographic variable. By working with age as a 'socio-demographic variable', quantitative researchers convert it (inadvertently) into a quasi-biological feature, symmetrical, as regards analytical treatment, with pathogens in epidemiological research. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:144 / 159
页数:16
相关论文
共 50 条
  • [41] Age-Period-Cohort analysis: A design-based approach
    Dinas, Elias
    Stoker, Laura
    [J]. ELECTORAL STUDIES, 2014, 33 : 28 - 40
  • [42] Age, period, and cohort effects in adult lifetime asthma prevalence in California: an application of hierarchical age-period-cohort analysis
    Ryan-Ibarra, Suzanne
    Milet, Meredith
    Lutzker, Liza
    Rodriguez, Danielle
    Induni, Marta
    Kreutzer, Rick
    [J]. ANNALS OF EPIDEMIOLOGY, 2016, 26 (02) : 87 - 92
  • [44] Small-for-gestational-age births in the United States an age-period-cohort analysis
    Ananth, CV
    Balasubramanian, B
    Demissie, K
    Kinzler, WL
    [J]. EPIDEMIOLOGY, 2004, 15 (01) : 28 - 35
  • [45] Cancer time trend in a population following a socio-economic transition: results of age-period-cohort analysis
    Pes, Giovanni Mario
    Cocco, Federica
    Bibbo, Stefano
    Marras, Giuseppina
    Dore, Maria Pina
    [J]. INTERNATIONAL JOURNAL OF PUBLIC HEALTH, 2017, 62 (03) : 407 - 414
  • [46] Secular trend of gout incidence in the UK: an age-period-cohort analysis
    Ye, Jing
    Zhang, Yuqing
    Zhang, Weiya
    Doherty, Michael
    Lu, Na
    Zeng, Chao
    Lei, Guanghua
    Wei, Jie
    Ding, Xiang
    [J]. BMJ OPEN, 2024, 14 (01):
  • [47] An International Contrast of Rates of Placental Abruption: An Age-Period-Cohort Analysis
    Ananth, Cande V.
    Keyes, Katherine M.
    Hamilton, Ava
    Gissler, Mika
    Wu, Chunsen
    Liu, Shiliang
    Luque-Fernandez, Miguel Angel
    Skjaerven, Rolv
    Williams, Michelle A.
    Tikkanen, Minna
    Cnattingius, Sven
    [J]. PLOS ONE, 2015, 10 (05):
  • [48] Age-period-cohort analysis of trends in amyotrophic lateral sclerosis incidence
    Tobin, Katy
    Gilthorpe, Mark S.
    Rooney, James
    Heverin, Mark
    Vajda, Alice
    Staines, Anthony
    Hardiman, Orla
    [J]. JOURNAL OF NEUROLOGY, 2016, 263 (10) : 1919 - 1926
  • [49] Age-Period-Cohort Analysis of Female Breast Cancer Mortality in Korea
    Choi, Yunhee
    Kim, Yeonju
    Park, Sue K.
    Shin, Hai-Rim
    Yoo, Keun-Young
    [J]. CANCER RESEARCH AND TREATMENT, 2016, 48 (01): : 11 - 19
  • [50] The intrinsic estimator for age-period-cohort analysis: What it is and how to use it
    Yang, Yang
    Schulhofer-Wohl, Sam
    Fu, Wenjiang J.
    Land, Kenneth C.
    [J]. AMERICAN JOURNAL OF SOCIOLOGY, 2008, 113 (06) : 1697 - 1736