“i am working-class”: subjective self-definition as a missing measure of social class and...
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I am Working-Class:Subjective Self-Definition as a Missing Measure of
Social Class and Socioeconomic Status in Higher Education Research
Mark Rubin
The University of Newcastle, AustraliaNida Denson
University of Western Sydney
Sue KilpatrickUniversity of Tasmania
Kelly E. Matthews
The University of Queensland
Tom StehlikUniversity of South Australia
and
David Zyngier
Monash University
Correspondence concerning this article should be addressed to Mark
Rubin at the School of Psychology, the University of Newcastle, Callaghan, NSW2308, Australia. Tel: +61 (0)2 4921 6706. Fax: +61 (0)2 4921 6980. E-mail:
The correct reference for this article is as follows:
Rubin, M., Denson, N., Kilpatrick, S., Matthews, K. E., Stehlik, T., & Zyngier, D. (2014). I am working-
class: Subjective self-definition as a missing measure of social class and socioeconomic status in highereducation research.Educational Researcher. doi:10.3102/0013189X14528373
This self-archived version is provided for non-commercial, scholarly purposes only.
http://dx.doi.org/10.3102/0013189X14528373http://dx.doi.org/10.3102/0013189X14528373http://dx.doi.org/10.3102/0013189X14528373http://dx.doi.org/10.3102/0013189X14528373 -
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AbstractThis review provides a critical appraisal of the measurement of students social
class and socioeconomic status (SES) in the context of widening higher education
participation. Most assessments of social class and SES in higher education havefocused on objective measurements based on the income, occupation, and
education of students' parents, and they have tended to overlook diversity among
students based on factors such as age, ethnicity, indigeneity, and rurality.
However, recent research in psychology and sociology has stressed the moresubjective and intersectional nature of social class. The authors argue that it is
important to consider subjective self-definitions of social class and SES alongside
more traditional objective measures. The implications of this dual measurement
approach for higher education research are discussed.
Keywords: diversity; first-generation students; intersectionality; self-definition;
social class; socioeconomic status
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I am Working-Class:Subjective Self-Definition as a Missing Measure of
Social Class and Socioeconomic Status in Higher Education Research
The purpose of this review is to provide a critical appraisal of themeasurement of studentssocial class and socioeconomic status (SES) in higher
education and suggest a more integrative approach that incorporates subjective
measures from psychology and sociology alongside the more traditional objective
measures of parental education, income, and occupation. We begin by definingsocial class and SES and explaining the importance of these variables in higher
education research. We highlight the limitations of conventional, objective
assessments of social class and SES in this area. We then discuss recent advances
in psychology and sociology that have demonstrated the utility of moresubjective, self-definitional measures. We discuss the advantages of these
subjective measures and conclude by calling for an integrative approach that
includes both subjective and objective measures of social class and SES.Defining Social Class and SES
Social class and SES arebased on an interaction between peoples social,
cultural, and economic backgrounds and status. Like other sociostructuralvariables (e.g., age, gender, ethnicity), social class and SES have powerful
influences on peoples personality and behavior (Ostrove & Cole, 2003). They
predict what clothes people wear, what food they eat, how they talk, their
attitudes, values and preferences, and their physical and mental health (Kraus &Stephens, 2012).
Although often conflated with one another, social class and SES can be
distinguished as separate constructs (e.g., Ostrove & Cole, 2003). SES refers to
ones currentsocial and economic situation and, consequently, it is relativelymutable, especially in countries that provide opportunities for economic
advancement. In contrast, social class refers to ones sociocultural background
and is more stable, typically remaining static across generations (Jones & Vagle,2013). Hence, it is possible for a working-class person to have a relatively high
SES while remaining in a stereotypically blue-collar occupation. Perhaps
because social class is more stable than SES, it is also more likely to be associatedwith intergroup power and status differences that act as the basis for
discrimination and prejudice (Ostrove & Cole, 2003). For example, recent
research has found evidence of classism at universities (Langhout, Drake, &
Rosselli, 2009).
The Importance of Social Class and SES Diversity in Higher EducationInternational research in Organisation for Economic Cooperation and
Development countries has identified social class and SES as key factors in
determining participation, performance, and retention in higher education (e.g.,
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James, 2008; Maras, 2007). In particular, researchers have found that working-class and low SES students are less likely to obtain good grades, complete their
degrees, and feel socially integrated at their university (for meta-analytic
evidence, see Robbins, Le, Davis, Lauver, Langley, & Carlstrom, 2004; Rubin,2012a). As Devlin (2013) pointed out, this inequality derives from an interaction
between student and university factors. Working-class and low SES students are
less familiar than middle-class and high SES students with the established cultural
norms of universities (e.g., terminology, styles, ways of speaking, worldviews, theroles of students and staff, etc.). Devlin suggests that students and institutions
must work together to bridge this socio-cultural incongruity (see also Stephens,
Fryberg, Markus, Johnson, & Covarrubias, 2012).
It is imperative for educational researchers to consider social class andSES in their studies in order to understand the implications of diversity in higher
education and imbue their work with societal relevance. As a prominent
researcher in this field explained, we can no longer plan an effective researchagenda based on the assumption that our undergraduate student population is
made up of White undergraduates from middle or upper-middle class homes
(Pascarella, 2006, p. 512). Consequently, higher education researchers need touse sensitive and valid measures of social class and SES in order to provide
relevant information to assist higher education administrators and policy-makers
in addressing the challenges faced by working-class and low SES students.
Below, we consider some of the strengths and weaknesses of traditional, objectivemeasures of social class and SES that have been used in educational research.
Strengths and Weaknesses of Objective Measures of Social Class
Most assessments of social class and SES in educational research havefocused on objective measurements that are based on income, occupation,
education, and material possessions (for reviews, see Rubin, 2012a; Sirin, 2005).
For example, students might be asked to estimate their annual household income,report the occupation and education levels of their parents, and/or indicate
whether or not they own a computer or laptop. This objective measurement
approach is useful because it limits the influence of subjective biases in studentsself-reports. Research based on this objective approach has successfully
identified the social class differences in participation, performance, and retention
in higher education that we discussed earlier. Based on this research, it is clear
that objective differences in income can have a profound effect on the time that
students have available for studying and socializing as well as the availability andquality of their study resources (e.g., owning a laptop). In addition, differences in
parental education levels have been shown to predict exposure to socio-culturaluniversity norms that help students to navigate university life (Rubin, 2012b;
York-Anderson & Bowman, 1991). Hence, it is not our aim to reject this well-
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established and fruitful approach to studying social class and SES. Nonetheless,we do feel that it is important to highlight a few key limitations of this objective
measurement approach.
First, objective measures of social class and SES need to be benchmarkedand interpreted relative to population-based standards, and these can be difficult
and controversial to establish. In particular, if social class and/or SES are
conceptualized as categorical variables, then decisions about how many categories
to include and the cut-off points for these categories are debateable (Bourdieu,1987, p. 2). Even after agreement is reached on such issues, the resulting
standards are limited to specific time-periods and contexts. Hence, objective
standards can become quickly out-dated and cannot be generalized outside of the
local contexts in which they were developed. Indeed, there are no internationalconventions for measuring social class or SES.
Second, as a target population in higher education, most undergraduate
university students have yet to establish a stable income, occupation, or level ofeducation. Consequently, educational researchers often refer to students' parents
as relevant proxies for these variables (for a meta-analytic review, see Rubin,
2012a). However, this relatively indirect approach tells us more about studentsparents than about the students themselves; a problem that is exacerbated for older
students. For example, the parental education of an older, mature-aged student is
less relevant to their SES than the parental education of a younger, more
traditional-aged student. A further problem with this approach is that studentsoften do not know the income, occupation, and/or education of their parents. For
example, one study found that 51% of respondents were unable to complete a
family income measure (Jetten, Iyer, Tsivrikos, & Young, 2008, Study 1). Hence,
references to parental income, occupation, and/or education can lead to problemswith missing data. Researchers can collect data from students parentsin order to
deal with this problem. However, it may be difficult to recruit students parents in
some cases, again leading to the problem of missing data.Third, social class and SES are closely bound to other sociodemographic
variables in educational contexts, such as age, ethnicity, indigeneity, and
regionality or what Bourdieu (1985, 1987) termed a persons cultural and socialcapital or habitus. Consequently, a fair assessment of social class and SES
requires that they are considered in the context of these co-occurring constructs.
For example, although the education or family income of an ethnic minority
member might be considered to be low relative to a majority population
standard, it might also be considered to be high relative to the persons minoritygroup (Adler & Stewart, 2007; Ostrove, Adler, Kuppermann, & Washington,
2000). Objective measures are inherently acontextual, and consequently theyoverlook this intersectionality and its interpretational implications (Crenshaw,
1994; Ostrove & Cole, 2003).
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Finally, although objective measures may provide a useful method forassessing a persons objective SES, they fail to assess the personssubjective SES
and social class identity. Hence, objective measures may categorize a person as
being of medium SES and middle-classeven though the person perceiveshimself or herself to be of low SES and working-class. Again, this social
psychological component of SES and social class must be assessed if we
conceptualize these variables as being something more than objective societal
demographics (Ostrove & Cole, 2003).
The New Socio-Psychological Approach to Social Class
In contrast to educational research, recent studies in psychology and
sociology have employed subjective, self-definitional measures of social class andSES alongside more objective measures (e.g., Adler, Epel, Castellazzo, &
Ickovics, 2000; Hamamura, 2012; Horberg, Oveis, Keltner, & Cohen, 2009;
Jetten et al., 2008; Kraus, Cte, & Keltner, 2010; Kraus, Piff, & Keltner, 2009;Kudrna, Furnham, & Swami, 2010; Laurin, Fitzsimons, & Kay, 2011; Ostrove et
al., 2000; Ostrove, & Cole, 2003; for a recent review of further social
psychological research in this area, see Kraus & Stephens, 2012). For example,social psychologists have asked their participants to categorize themselves
according to social class categories such as working-class and upper-class
(Horberg et al., 2009; Jetten et al., 2008, Study 2). Other researchers in health
and social psychology have used the MacArthur Scale of Subjective Social Status(Adler et al., 2000; Adler & Stewart, 2007). Here, participants indicate their
position on a 10-runged social ladder in which higher rungs represent people
who have higher social class or SES. The scale comes in two versions. The first
measures SES based on the respondentsperceptions of income, education, andoccupational prestige in relation to other people in their country. The second
measures social class based on the respondents subjective perceptions of social
standing in their (subjectively defined) community.Consistent with this subjective methodology, social psychologists have
provided an explicit acknowledgement of the subjective component of social class
in their recent definitions. For example, Kraus et al. (2009) explained that socialclass comprises both an individuals material resources and an individuals
perceived rank within the social hierarchy (p. 992). This dualist perspective on
social class fits nicely with Bourdieus(1985, 1987) considerations on social
class. He proposed that the similar objective conditions, or habitus, in which
people from different social classes live, including their differing access to social,cultural, economic, and symbolic capital, gives rise to subjective identities that
embody and reify social classes.The recent increase in the use of subjective measures of social class and
SES in psychology has been noted by the American Psychological Associations
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(2006) Task Force on SES, which has recommended that researchers employ bothsubjective and objective measure of SES in their research (Saegert et al., 2006).
In general, however, this recommendation has not been heeded by educational
researchers (for a notable exception, see Ostrove & Long, 2007). In the followingsections, we consider the utility of this dual conceptualization of social class in
educational research. In particular, we focus on the validity, reliability, predictive
power, and contextual-sensitivity of subjective measures of social class and SES.
To be clear, we do not claim that subjective measures are generally superior toobjective measures. We only aim to highlight the relative strengths of subjective
measures on some key dimensions in order to persuade educational researchers to
incorporate bothsubjective andobjective measures in their research.
Are Subjective Measures Valid?A common concern about the validity of subjective social class measures
is that many people do not know what category of social class they belong to.This concern is unfounded if researchers employ meaningful response categories.
For example, a recent nationally-representative USA survey found that more than
98% of respondents were able to self-identify as either upper class(2%),upper-middle class(15%), middle class(49%), lower-middle class(25%),
or lower class(7%; Morin & Motel, 2012; see also Ostrove & Long, 2007).
A further concern is that most people will describe themselves as middle-
class. Although this was the casein the USA survey (i.e., 89% categorizedthemselves as either upper-middle class, middle class, or lower middle-
class), the expansion of the middle-class category into meaningful subcategories
can enhance the discriminatory power of such measures.
A further potential threat to the validity of subjective social class measuresis that such measures may be influenced by peoples mood or affect. However,
contrary to this possibility, experimentally manipulating mood does not alter
peoples ratings of their subjective social class (Kraus, Adler, & Chen, 2013; for adiscussion, see Kraus, Tan, & Tannenbaum, 2013).
Subjective measures also provide valid assessments of social class and
SES if these variables are conceived as social identities that are derived frommembership in socially-defined groups (e.g., Jetten et al., 2008; Soria, Stebleton,
& Huesman, 2013; Tajfel & Turner, 1979). This subjective conceptualization of
social class and SES is consistent with the use of self-definition in classifying the
ethnicity or indigeneity of people in a range of other settings, including
population censuses and university admission applications. In addition, the use ofsubjective measures to tap the identity component of social class and SES allows
researchers to undertake more sensitive investigations of classism in highereducation (Langhout et al., 2009).
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Empirical evidence of convergent validity comes from studies that havefound positive correlations between subjective and objective measures of social
class (e.g., Kraus et al., 2010; Kraus et al., 2009; Ostrove et al., 2000; Ostrove &
Long, 2007). These moderately-sized correlations indicate that subjectivemeasures assess an important aspect of social class but one that is relatively
distinct from objective aspects. Consistent with this assumption, subjective
measures have been shown to uniquely predict self-rated global health even after
controlling for objective measures (Adler et al., 2000). Indeed, this approach ofcontrolling for the objective aspect of social class and SES in order to examine the
independent effects of subjective social class can more accurately capture the
unique aspects of social class that are not captured by objective indicators.
Are Subjective Measures Reliable and Predictive?There are reasons to believe that subjective measures of social class
provide morereliable and predictive assessments than objective measures,especially in educational research. Subjective measures relate to students rather
than to their parents, and so they provide more proximal and accurate
representations of students' social class. Consequently, they are likely to be moresensitive to changes in students' social class over time. It is perhaps for these
reasons that subjective measures are stronger predictors than objective measures
in the field of higher education (Ostrove & Long, 2007) and act as better
predictors of health outcomes (e.g., Ostrove et al., 2000; for brief reviews, seeKraus et al., 2009, p. 993; Kudrna et al., 2010, p. 860).
Are Subjective Measures Context-Sensitive?
As we have argued above, social class and SES need to be consideredwithin the context of the broader social, economic and political context (Jones &
Vagle, 2013). Subjective measures are better placed to accomplish this goal than
objective measures because they have an intrinsic capacity to assess social class ina contextualized manner. Unlike objective measures, subjective measures do not
require pre-established benchmarks against which to interpret different levels of
social class or SES (e.g., cut-offs for family income). Instead, respondents areable to reflect on their own internalized standards based on their individual,
context-specific experiences and reference groups. This does not mean that the
interpretation of subjective measures can be undertaken independently from the
local contexts and time periods within which they are employed. On the contrary,
all measures of social class must be interpreted in a contextual manner. However,the inbuilt context-sensitivity of subjective measures does provide a greater
potential for comparisons between different groups, situations, contexts, andcultures (e.g., Hamamura, 2012). In particular, researchers can manipulate the
frame of reference within which respondents make their judgments in order to
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facilitate relevant comparisons. For example, participants can be instructed toconsider their social class or SES relative to others in their countryor others in
their university(cf. Adler & Stewart, 2007; Kraus et al., 2009). Similarly,
comparisons can be made between the subjective family income (e.g., low,medium, high) of traditional- and nontraditional-aged students who are asked
to make their judgments in the context of other students of your age. Unlike
objective measures, this contextual flexibility of subjective measures allows them
to accommodate the intersection of social class and SES with other demographicssuch as gender, age, ethnicity, and regionality (Crenshaw, 1994; Ostrove & Cole,
2003).
Implications and ConclusionsWorldwide, universities are striving to provide a curriculum and student
services that support expanding and diverse participation and the needs of a 21st
century knowledge economy. In order to maintain its relevance, the educationalresearch community needs to provide robust and informative research that
accurately defines, describes, and communicates the increasingly diverse
demography, experiences, and outcomes of university students. In this review,we have argued that studentssubjectively self-defined perceptions of their social
class and SES are vital ingredients in this type of research. Specifically, we have
argued that, relative to objective measures, subjective measures of social class and
SES:
provide more direct assessments that relate to studentsself-definition ratherthan the characteristics of studentsparents;
can be interpreted without reference to objective standards that are constrainedto particular contexts and time-periods;
result in less missing data; are more sensitive to changes in social class and SES; assess the identity component of social class and SES; have proven convergent validity with objective measures; are stronger predictors of some outcome variables; afford greater potential for comparisons between different situations and
contexts; and
enable a conceptualization of social class as an intersectional construct.Again, to be clear, we are not proposing that subjective measures of social
class and SES should replaceobjective measures. Instead, we are suggesting thatresearchers in higher education should habitually supplement their objective
measures with subjective measures in order to provide a more nuanced,articulated, and comprehensive assessment of these complex, context-dependent
variables. More generally, this approach will give a clearer voice to students
subjective experiences in higher education.
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