Sex Roles: A Journal of Research, Dec
2002 p519(11)
Do middle-class students perceive poor women and
poor men differently? Catherine Cozzarelli; Michael J.
Tagler; Anna V. Wilkinson.
Author's Abstract: COPYRIGHT 2002 Plenum Publishing
Corporation
In this study, we examined attitudes toward poor women,
stereotypes about them, attributions for their poverty, and whether
these thoughts and feelings differ from those about poor men. In our
Midwestern college students sample (n = 206), attitudes toward poor
women were significantly more positive than attitudes toward poor
men. In addition, stereotypes of poor women were both more positive
and more consistent with gender stereotypes than were those of poor
men. Participants endorsed internal attributions for the poverty of
both women and men more strongly than external or cultural
attributions. However, the content of these attributions was
different for the two target groups. Poor women were held
responsible for nontraditional familial and reproductive patterns,
whereas poor men were held responsible for lack of initiative and
self-improvement. For poor men, all types of attributions included
references to ability or willingness to work. The three types of
attributions were more conceptually distinct for p oor women.
KEY WORDS: poverty; gender; attitudes.
Full Text: COPYRIGHT 2002 Plenum Publishing Corporation
Despite the fact that the United States is the wealthiest nation
in the world, about 12% of its citizens (or 32.3 million people)
live below the official poverty line (U.S. Census Bureau, 2000).
While surrounded by real-life and media examples of the high
standard of living and conspicuous consumption of wealthier
Americans, these individuals inhabit a world all too often
characterized by substandard housing, violence, illegal drugs, poor
schools, lack of health insurance and day care, and compromised
mental and physical health (e.g., Adler & Coriell, 1997; Lott
& Bullock, 2001; Rice, 2001). Although poverty is a pressing
social issue overall, it is a particularly important one for those
who are concerned with the health and status of American women.
Women, particularly single parents, comprise a large (about 28%) and
growing percentage of the poor. While attempting to support
themselves and their children, these women typically have access to
only the lowest paying jobs, which are often part-time and typical
ly do not offer benefits such as health insurance, day care, or flex
time (Lott & Bullock, 2001; Scarbrough, 2001).
In part, efforts to alleviate poverty in women and men will
depend on an understanding of the attitudes that Americans hold
toward the poor. The aim of the current research was to contribute
to this effort by expanding on the results of an earlier study we
conducted on this topic (Cozzarelli, Wilkinson, & Tagler, 2001).
In particular, our goals were to examine in detail Americans'
attitudes toward poor women, stereotypes about them, and
attributions for women's poverty, and whether these thoughts and
feelings are different from those about poor men. An articulation of
these issues is clearly important because these attitudes and
beliefs are likely to have consequences for poor women and men,
especially in terms of middle-class Americans' voting behavior,
willingness to help alleviate or end poverty, and beliefs about
welfare and the efficacy of welfare reform. Indeed, the few studies
of the consequences of attitudes toward poverty indicate that
hypothetical welfare allocations are impacted by such attitudes (
e.g., Bullock, 1995; Groskind, 1991; Iyengar, 1990; Zucker &
Weiner, 1993).
Although sociologists, social workers, and economists
historically have investigated many facets of poverty, such as the
impact of increasing the minimum wage (e.g., Card & Krueger,
1995; Mishel, Bernstein, & Schmitt, 2000), the role of area of
residence and concentration of poverty on various outcomes (e.g.,
Coulton, Korbin, & Su, 1999; Sampson, Morenoff, & Earls
1999), and the impact of welfare reform on the lives of those
affected (e.g., Meyer & Cancian, 2000), psychologists have
conducted surprisingly little research in this area. Research
conducted by psychologists, in collaboration with scholars from
other disciplines, has focused on two distinct areas: attitudes,
stereotypes, and attributions for poverty (see Bullock, 1995;
Cozzarelli et al., 2001, for reviews), and the impact of experiences
that stem from poverty on well-being and development (e.g.,
Brooks-Gunn, Duncan, & Aber, 1997; Caughy, Brodsky, O'Campo,
& Aronson, 2001). Much of the early research in the first area
confounded attitudes toward th e poor and attributions for poverty
or used unreliable measures (e.g., MacDonald 1971, 1972; Price,
Desmond, Snyder, & Kimmel, 1988). In a recent study that
attempted to address these methodological issues, Cozzarelli et al.
(2001) found that in a sample of Midwestern college students,
affective evaluations of the poor (which we will hereafter refer to
as attitudes) were, on average, moderately positive (M = 3.53 on a
5-point scale). However, the adjectives that participants endorsed
as being most descriptive of poor people were predominantly negative
and included beliefs that the poor are uneducated, unmotivated or
lazy, or in some way socially irresponsible (e.g., alcoholic, drug
abuser). In addition, the participants were significantly more
likely to endorse all of the negative traits on the list of
adjectives as being more characteristic of the poor than of the
middle class and to endorse all of the positive traits, with the
exception of "humble," as more characteristic of the middle class.
The majority of the previous psychological research on poverty
has focused on the kinds of attributions that people make in order
to explain why some individuals are poor (e.g., Feagin, 1972; Smith
& Stone, 1989; Zucker & Weiner, 1993). Although technically
not a component of attitudes (attributions go beyond the
favorable/unfavorable evaluation of an entity that describes an
attitude in that they consist of explicit causal beliefs),
attributions for poverty are likely to be highly related to
attitudes toward poverty. Overall, the majority of the researchers
who have examined attributions find that Americans believe that
there are multiple determinants of poverty but that individualistic
or "internal" causes (e.g., lack of effort, laziness, low
intelligence, drug user) tend to be seen as more important than
societal or "external" ones (e.g., being a victim of discrimination,
earning low wages, being forced to attend bad schools; see Feagin,
1975; Kluegel & Smith, 1986; Singh, 1989; Smith & Stone,
1989). In th eir recent study, Cozzarelli et al. (2001) confirmed
the existence of strong internal and external attributions for
poverty, but their data suggested that Americans also make "cultural
attributions," which reflect the perception that poor people are
trapped in a subculture of poverty or caught in negative
circumstances over which they have little control (e.g., being born
into poverty, having to attend bad schools, the poor get low-paying
jobs).
The Current Research
In the Cozzarelli et al. (2001) study and the majority of other
studies on poverty, researchers asked respondents what they think
about "poor people" or "the poor." A few studies have provided some
information about Americans' reactions to poor women, usually those
who are receiving welfare (see Bullock, 1995). However, as far as we
are aware, there has not been any systematic examination of the
differences or similarities in the attitudes toward and stereotypes
about poor men and poor women or in the attributions Americans make
for poverty among these two groups of individuals.
Given the paucity of prior research in this area, we viewed our
study as primarily exploratory. However, we did have some tentative
hypotheses. First, we hypothesized that a central feature of the
stereotypes about poor men would focus on their lack of agency
(e.g., lazy, unmotivated), whereas the stereotypes of poor women
would focus on violations of traditional "family values" or
motherhood roles (e.g., too many children, promiscuous). As is well
known, gender stereotypes in our society tend to focus on agency in
men and expressiveness/nurturance in women (Bergen & Williams,
1991; Broverman, Vogel, Broverman, Clarkson, & Rosenkrantz,
1972; DeLisi & Soundranayagam, 1990). We suspected that the
stereotypes of poor women and poor men would reflect the fact that
both of these groups are in some way seen as violating traditional
gender stereotypes. Although this prediction dovetails with common
perceptions that poor men are willfully unemployed and poor women
(sometimes purposefully) bear multiple children out o f wedlock
(Bullock, 1995; Bullock, Wyche, & Williams, 2001; Price et al.,
1988), it is not at all clear whether Americans' stereotypes of poor
men and poor women also differ in terms of general character traits
(e.g., nice, intelligent, happy, abusive). To examine this issue, we
asked our participants to rate poor women and men on the list of 38
adjectives developed by Cozzarelli et al. (2001).
Gender stereotypes may also inform Americans' attributions for
poverty among women and men. Specifically, on the basis of our prior
research, we hypothesized that participants would be more likely to
make internal than external/cultural attributions for the poverty of
both women and men. However, we also expected that the content of
these attributions might differ. Specifically, internal attributions
for poverty in men might focus on a lack of initiative/motivation,
whereas in women, these attributions might center on the perceived
lack of traditional familial/reproductive patterns. To examine these
issues, we factor-analyzed attributions for women's and men's
poverty separately and examined both the content and frequency of
endorsement of the various attributions that were made.
We also assessed our participants' overall attitudes toward poor
women and poor men. Given that no prior research exists on this
point, we offer no hypotheses concerning possible differences in
attitudes toward these two groups.
METHOD
Participants
Two hundred six undergraduates from a large, Midwestern
university (75 men and 131 women) volunteered to participate in this
study in order to fulfill a psychology course requirement. The mean
age of participants was 19.14 years (SD = 1.81). Most participants
(90.3%) identified themselves as European American; 1.9% identified
themselves as African American, 3.4% as Asian American, 2.9% as
Hispanic, and 1.5% as members of another ethnic group. On average,
our respondents considered themselves to be political moderates (M =
5.02, SD 1.38, on an 8-point scale that ranged from very liberal to
very conservative). The majority of participants (83.2%) estimated
their household's yearly income while they were growing up to be
above $35,000/year, which the U.S. Census Bureau defines as the
lowest income necessary to be considered middle class. In addition,
when asked whether their families were poor when they were growing
up, 92.2% answered "no."
Materials
Attitudes Toward the Poor
We measured overall attitudes toward the poor with a modified
version of the scale developed by Cozzarelli et al. (2001). This
reliable measure ([alpha] = .87, Cozzarelli et al., 2001) has 12
items, 6 of which are phrased in a positive direction (e.g., "My
feelings toward poor people are generally positive," "I hold poor
people in high regard," "I generally like poor people") and 6 of
which are phrased in a negative direction (e.g., "I don't like poor
people very much," "Poor people make me feel uncomfortable," "I have
negative feelings toward poor people"). In this study, half of the
participants received a version of this scale in which all items
referred to "poor women" instead of "poor people," and the other
half received a version that referred to "poor men." Participants
rated the extent to which they agreed with each item on a scale that
ranged from 1 (strongly disagree) to 5 (strongly agree). No other
modifications were made to the Cozzarelli et al. scale.
Stereotypes About the Poor
To assess participants' stereotypes about the poor, we asked them
to complete a modified version of the stereotype measure created by
Cozzarelli et al. (2001). On this measure, participants are asked to
indicate on a scale that ranged from 1 (not at all characteristic of
poor people) to 5 (extremely characteristic of poor people) the
extent to which they agree that each of 38 characteristics describes
poor people. The attribute list contains both positive (e.g.,
"capable," "proud," "family-oriented," "strong," "moral," "healthy")
and negative (e.g., "weak," "drug-abusing," "criminal," "lazy,"
"mentally ill," "dirty," "promiscuous") adjectives. Again, half of
the participants received a version of this scale that was rewritten
to refer to poor women, and the other half received a version that
referred to poor men.
Attributions for Poverty
To assess attributions for poverty, our participants completed a
modified version of the Attributions for Poverty Scale developed by
Cozzarelli et al. (2001), which was altered to refer to attributions
for poverty among either women or men. Participants were asked to
rate the importance of each of 22 factors as causes of poverty on a
scale that ranged from 1 (not at all important as a cause of
poverty) to 5 (extremely important as a cause of poverty).
Cozzarelli et al. reported that their scale was composed of three
subscales reflecting (a) internal attributions (e.g., "lack of
effort or laziness," "alcohol and drug abuse," "lack of thrift and
proper money management," [alpha] = .75), (b) external attributions
(e.g., "prejudice and discrimination in promotion and wages,"
"failure of industry to provide enough jobs," "a federal government
that is insensitive to the plight of the poor," [alpha] = .79), and
(c) cultural attributions (e.g., "the breakdown of the nuclear
family," "being born into poverty," "having to attend bad schools,"
[alpha] = .65). Because we were interested in the extent to which
attributions for poverty in women and men were similar or
dissimilar, in this study, we re-analyzed the factors in the two
gender-specific versions of this scale.
Procedure
Participants were asked to complete a packet of questionnaires
that contained measures (in counterbalanced order) of
sociodemographic variables (e.g., gender, age, ethnicity, political
affiliation), attitudes toward the poor, stereotypes about the poor,
and attributions for poverty. Half of the participants completed
questionnaires that focused on poor women, and the other half
completed questionnaires that focused on poor men. The gender of the
target group the participant was asked to consider was consistent
across all of the questionnaires that he/she completed (i.e., the
gender of the target group was a between-participants variable).
Completion of the packets took place in a standard university
classroom.
RESULTS
Attitudes Toward Poor Women and Men
Responses to the negative attitude items were recoded, and
responses to all scale items were then averaged to create measures
of attitudes toward poor women (coefficient [alpha] = .90) and poor
men ([alpha] = .91). Scores could range from 1 to 5. Higher scores
on these measures indicate a more positive attitude. On average, in
this sample, attitudes toward both poor women (M = 3.54, SD = 0.69)
and poor men (M = 3.16, SD = 0.71) were moderately positive. We
conducted a one-way ANCOVA on attitudes toward the poor with gender
of the poor person as the independent variable in order to compare
attitudes toward poor women and poor men. In this analysis we
covaried participant gender to control for the possibility that male
and female participants might have different attitudes toward poor
men and poor women. (4) Participants had more positive attitudes
toward poor women than toward poor men, F(1, 201) = 14.90, p <
001 [[eta].sup.2] = .07.
Stereotypes About Poor Women and Men
We hypothesized that the stereotypes about both poor women and
poor men would reflect violations of traditional gender stereotypes.
To investigate this hypothesis, we conducted a MANCOVA on the 38
stereotype items with gender of the target group as the independent
variable and participant gender covaried out of the analysis. (5)
This analysis yielded a significant and large multivariate effect
for gender of the target group, F(38, 151) = 2.56, p < .001
[[eta].sup.2] = .39 (see Table I for means on all of the stereotype
items). Examination of the significant univariate effects revealed a
consistent pattern that suggests that poor women were stereotyped in
a more positive manner than were poor men. Specifically, poor women
were viewed as more hardworking, proud, family-oriented, friendly,
responsible, loving, nice, and healthy than were poor men. Poor men
were seen as more dirty, criminal, and alcoholic than were poor
women. However, poor women were more likely to be characterized as
having too many children.
Attributions for Poverty in Women and Men
We hypothesized that internal attributions for poverty in men
would focus on a lack of initiative/motivation, whereas for women
poverty attributions would center on a lack of traditional
familial/reproductive patterns. To examine these attributions for
women's and men's poverty, we conducted separate factor analyses on
the two sets of attribution items. Because prior research with this
attribution scale has identified three main types of attributions
for the causes of poverty, in both analyses, we subjected our
attribution items to a principal components factor analysis with
oblique rotation in which we specified that three factors should be
extracted. Results of these analyses are presented in Tables II and
III. We dropped all items with factor loadings below .40. (The
dropped items are not included in the tables.)
A factor that clearly represented internal attributions for
poverty emerged from the factor analyses for both poor women and
poor men. It is interesting that the items that loaded on this
factor for poor men were identical to those that represented
internal attributions for the poverty of "people" in the Cozzarelli
et al. (2001) study. Internal attributions for poverty in men seemed
to reflect mainly a lack of initiative/motivation and an inability
to manage money. The pattern that emerged for poor women was similar
in many respects. However, internal attributions for women's poverty
did not include problems with money management, but did include
having too many children and the breakdown of the nuclear family.
Given that "loose morals" also loaded on this factor, internal
attributions for women's poverty reflected the fact that
participants held poor women (but not poor men) responsible for the
lack of a traditional family structure.
Both factor analyses also yielded a factor that reflected
standard external attributions. The content of these attributions
for women's and men's poverty was strikingly similar and focused on
the fact that prejudice exists in hiring and in promotion and that
industry and government contribute to the lack of economic
opportunities for the poor. The only difference between the two
external attribution factors was that women, but not men, were said
to be "taken advantage of by the rich."
The third factor yielded the largest differences in the
attributions that were made for women's and men's poverty. The
attributions that were made for women's poverty in this study were
similar to those obtained by Cozzarelli et al. (2001) and seemed to
reflect the belief that women were born into a culture of poverty or
disadvantaged in ways beyond their control (e.g., "having to attend
bad schools," "born into poverty," "born with a low IQ"). This
factor was also composed of these "culture of poverty" items for
men. In addition, however, several items loaded on this factor that
seemed to reflect the belief that factors beyond their control often
kept poor men from working or making money (e.g., "sick," "lack of
contacts for finding jobs," "laid off").
We hypothesized that participants would be more likely to make
internal than external/cultural attributions for the poverty of both
women and men. To test this hypothesis, items within each of the six
factors that were obtained as a result of the two factor analyses
were averaged and used to create subscales that we labeled External
Attributions, Internal Attributions, and Cultural Attributions.
Average scores on all subscales could range from 1 to 5. Because the
content of the identically named attribution scales differed for
poor women and poor men, we could not statistically compare mean
scores on the various attribution scales across target gender.
However, we were able to compare mean scores on the three
attribution types within target gender. A series of dependent t-
tests revealed that participants were more likely to make internal
than external attributions for the poverty of both women, t(99) =
5.50, p < .001, [[eta].sup.2] = .23, and men, t(100) = 6.49, p
< .001 [[eta].sup.2] = .30. Similarly, parti cipants were also
more likely to make internal than cultural attributions for the
poverty of both women, t(98) 5.13, p < = .21, and men, t(100) =
4.91, p < .001, [[eta].sup.2] = .19. However, although
participants were only marginally more likely to make cultural than
external attributions for the poverty of women, t(101) = 1.68, p
< .10, [[eta].sup.2] = .03, they were significantly more likely
to make cultural than external attributions for the poverty of men,
t(100) = 3.94, p < .001, [[eta].sup.2] = .13. Overall,
participants were most likely to make internal attributions and
least likely to make external attributions for the poverty of both
women and men.
Examination of correlations among the attribution scales within
each target gender revealed that making more internal attributions
was related to making less external attributions for the poverty of
both women, r(96) = -.32, p < .01, and men, r(98) = -.26, p <
.01. Internal attributions for both poor women and poor men were
unrelated to cultural attributions, r(98) = .00, p > .10, and
r(96) = .00, p > .10, respectively. Finally, more external
attributions for targets of both genders were related to increased
cultural attributions for women, r(98) = .33, p < .01, and for
men, r(96) = .23, p < .05.
DISCUSSION
Stereotypes and Attitudes
Overall, our results suggest that stereotypes of poor women are
more positive than those of poor men. Poor women were seen as more
hardworking, proud, family-oriented, friendly, loving, nice,
healthy, and responsible than poor men who were characterized as
dirtier and more likely to be criminal or alcoholic. The one notable
exception to this relatively more positive pattern was that poor
women were more likely to be characterized as having too many
children. This pattern of results for poor women is congruent with
the content of overarching gender stereotypes in the United States.
That is, women are typically characterized by adjectives that
reflect warmth or expressiveness (e.g., friendly, nice) and
nurturance (e.g., loving, family-oriented; see Bergen &
Williams, 1991; Broverman et al., 1972; DeLisi & Soundranayagam,
1990). Indeed, "having too many children" can be viewed as a
behavior that does not so much contradict gender stereotypes as
enact them in a nontraditional or socially disapproved of manner. Th
us, these results suggest that to some extent, poor women are not
seen as violating traditional gender stereotypes (see also Landrine,
1985).
It is interesting to speculate about why women are seen as
relatively likely to have too many children, when clearly, having
children is a joint activity of men and women. One possibility is
that this reflects the fact that children who live in single parent
homes are much more likely to be living with women. According to the
Census Bureau, 22% of children live with their mother only, whereas
4% live with their father only (U.S. Census Bureau, 2001). Another
possible explanation relies on the strong stereotype that poor women
and their children are likely to be relying on public assistance. In
fact, research suggests that Americans believe that poor women
sometimes have additional children expressly to collect increased
welfare checks (Bullock, 1995; Task Force on Women, Poverty, and
Public Assistance by the Division of the Psychology of Women, 1997).
Statistics document however that on average, the families of welfare
recipients are no larger than the families of nonrecipients (Staff
of House Committee of Wa ys and Means, 1996). Finally, research
suggests that women are expected to assume the "gatekeeper" role in
sexual interactions, or to act in such a way as to restrain the
"more insistent" sexual urges of men (Lott, 1994). Thus, having a
child when one is poor or perhaps unwed may suggest to some a lack
of proper control over a woman's sexuality.
The pattern of results we obtained for poor men paints a
portrait that is quite different from the one we obtained for poor
women. Traditional gender stereotypes for men emphasize competence,
potency/strength, and work-mindedness (e.g., Broverman et al., 1972;
DeLisi & Soundranayagam, 1990; Smith & Midlarsky, 1985). In
the few cases where we obtained gender differences on adjectives
that tap into these dimensions (e.g., hardworking, responsible),
poor women were more likely to be described in ways that match this
"masculine" stereotype. In no case were poor men rated as more
likely than poor women to possess a positive characteristic that is
ordinarily part of the masculine gender stereotype. These results
suggest that poor men are seen as violating traditional gender
stereotypes in a way that poor women are not. In addition, on
adjectives unrelated to traditional gender stereotypes, poor men
were more likely than poor women to be characterized in some
extremely negative ways (e.g., dirty, alcoholic, criminal ). In
fact, examination of Table I reveals that all of the adjectives that
were rated as being more than moderately descriptive of poor men
(i.e., an average score greater than 3.0) were negative (lazy,
embarrassed, dirty, uneducated, immoral, angry, alcoholic,
depressed, unmotivated). This set of results is also consistent with
the fact that our respondents had more negative attitudes toward
poor men than they did toward poor women, although overall their
attitudes toward both poor men and women were moderately positive.
The findings that stereotypes of and attitudes toward poor women
seem to be more positive than those that refer to poor men could
easily lead to some misperceptions, however. Specifically, past
research (e.g., Cozzarelli et al., 2001) has clearly suggested that
stereotypes of poor people are much more negative than stereotypes
of the middle class. Thus, although poor women may be seen in a more
positive light than are poor men, it is quite likely that
stereotypes of poor women are more negative than those of
middleclass people. This makes a strong case for the fact that
stereotypes of the poor and attitudes toward them must be judged
against stereotypes/attitudes that reference other, less stigmatized
groups (such as the middle class) in order to gain proper
perspective on their valence and meaning (see also Landrine, 1985).
Attributions
Overall, internal attributions for poverty in women and men were
more strongly endorsed than either external or cultural
attributions. This result is consistent with prior research
(Cozzarelli et al., 2001; Kluegal & Smith, 1986; Smith &
Stone, 1989) and likely reflects Americans' cultural belief in
personal control. The greater endorsement of internal over other
kinds of attributions also may reflect the media's depiction of the
poor (Bullock, Wyche, et al., 2001; Iyengar, 1990). Media coverage
of the poor typically frames poverty in one of two distinct ways.
Either stories focus on the lives and personal experiences of the
poor or social problems associated with poverty ("episodic"
portrayals), or they focus on trends and public assistance programs
presented in an impersonal factual style ("thematic" presentation).
Iyengar (1990) reported that media coverage of the poor tends to be
episodic rather than thematic and that internal attributions for
poverty were higher among viewers who were exposed to episodic -type
media coverage. In contrast, external or structural attributions
were higher among viewers who were exposed to more thematic
coverage. By focusing on the individual qualities of the poor, the
media fail to contextualize poverty and make viewers aware of the
societal factors that contribute to the perpetuation of inequality.
.jpg) It is interesting that although the relative
ordering of the three types of attributions for poverty was the same
for women and men, the content of the internal and cultural
attributions differed by the gender of the target person. Internal
attributions for men's poverty seemed to center almost exclusively
around issues related to lack of effort, motivation, or
self-improvement. Although these items also formed part of the
internal attribution factor for women's poverty, this factor also
included three items that reflected women's perceived violations of
traditional reproductive and familial norms. This difference is
consistent with the results we obtained in analyses of the
stereotype items in suggesting that poor women, but not poor men,
are held responsible for reproductive/familial arrangements. In
fact, two of the three attribution items that referred to family
(i.e., "having too many children" and "breakdown of the nuclear
family") did not load significantly on any of the three attribution
factors for m en. The cultural attributions made for women's poverty
that we obtained in this study were similar to the results of
Cozzarelli et al.'s research on poor "people" (Cozzarelli et al.,
2001) and seemed to reflect the belief that women are born into a
culture of poverty or disadvantaged in ways beyond their control
(e.g., "being born into poverty," "having to attend bad schools").
The cultural attributions made for men's poverty also contained
several items that suggested that factors beyond their control might
keep poor men from working (e.g., "sickness or physical handicaps,"
"being laid off at work"). Given that external attributions for
poverty refer mainly to structural barriers that make it difficult
to succeed in the work world, our results suggest that all types of
attributions for men's poverty refer at least in part to poor men's
perceived inability (or refusal) to participate fully in the labor
market. Attributions for women's poverty are more diverse and appear
to be more conceptually distinct. Altho ugh women are blamed for
nontraditional family arrangements, our respondents also perceived
that structural barriers make it difficult for women to find jobs
and succeed in the work world, and they believed that women are
handicapped by circumstances beyond their control.
Caveats
.jpg) Our sample suffered from some limitations.
The participants were largely White, young, and middle class.
However, the proportion of White respondents in our study (90%) was
nearly identical to the percentage of White people who live in the
state of Kansas (88%). Thus, our sample appears to be a reasonable
representation of people from this area of the Midwest in terms of
ethnicity. However, our results may not generalize to regions of the
country where larger percentages of the population belong to
minority groups. Indeed, there is some evidence that individuals
with different ethnic backgrounds may hold different attitudes
toward poverty (e.g., Hunt, 1996; Kluegel & Smith, 1986).
Overall, our sample was most homogenous with respect to age. Prior
research has suggested that individuals' attitudes about class are
largely formed by adolescence (see Bullock, 1995), but that people
tend to make more internal attributions for poverty as they age
(Hunt, 1996; Kluegel & Smith, 1986). In our sample of college
student s, internal attributions were already more frequently
endorsed than cultural or external attributions. This suggests that
had we obtained a sample of older middle-class people, the pattern
of results we obtained in this study would likely have been
magnified. Nevertheless, in future studies it would clearly be
beneficial to sample more widely the attitudes of individuals from a
variety of different ethnic, social class, and age categories.
Second, as was the case in the Cozzarelli et al. (2001) study,
some of the internal reliability coefficients for the attribution
scales were modest. This was especially so for the cultural
attribution scales. It is interesting that, in addition to internal
and external attributions, earlier researchers in this area obtained
a third attribution factor that they typically referred to as
"fatalistic attributions" or those that ascribe poverty to factors
beyond the control of the poor person (e.g., bad luck, born
inferior, lack of the talent and ability to succeed). Alphas on
these scales have historically been low as well (e.g., Feagin, 1972;
Smith & Stone, 1989). Perhaps this may simply be due to the fact
that cultural/fatalistic attributions are not as conceptually pure
as internal or external attributions. For example, in a recent study
(Bullock, Williams, & Limbert, 2001) fatalistic and cultural
attributions were sometimes found in combination with more internal
or structural attributions. Similar results we re found in the
current study, particularly with regard to the cultural attribution
factor for poverty in men, which did not have as clear a factor
structure as would be ideal. Several of the items that loaded on
this factor also had moderate loadings on one of the other two
factors.
Implications
In this study, particularly in regard to poor people in general,
our participants appeared to hold a mix of views, which suggests,
perhaps, that overall feelings and beliefs about the poor are
ambivalent or somewhat conflicted. Given this fact, it is
interesting to speculate about whether attitudes, stereotypes, or
attributions will be the best predictor of people's behaviors toward
the poor and toward policy issues that impact the poor. One
possibility is that attributions for poverty may be most strongly
related to Americans responses to policy issues concerning the poor.
Indeed, research on attributions for poverty has consistently
supported the presence of a link between these attributions and
reactions to welfare. For example, it has been found that
endorsement of individualistic attributions for poverty is
associated with more negative attitudes toward welfare, whereas
endorsement of external or societal causes is positively associated
with support for welfare (Feagin, 1972; Kluegel & Smith, 1986),
more progressive welfare policies (e.g., Bullock, Williams, et al.,
2001), and social service spending (Iyengar, 1989). In a structural
equation analysis, Zucker and Weiner (1993) demonstrated that such
attributions exert both a direct and an indirect effects (mediated
through emotion) on judgments about welfare deservingness. This
suggests the possibility that attributions will be an important
predictor of attitudes toward the poor but that attributions will
ultimately have a more powerful impact on policy-relevant judgments
and behaviors.
It is also important to consider the possibility that our
participants' attributions for poverty as well as their attitudes
toward poor women and men may be influenced by current policy. The
1996 Welfare Reform Act underscored the role of personal
responsibility in improving one's economic conditions and getting
out of poverty. Our participants are young and as such may have been
more strongly influenced by these policies and their implications
than older cohorts.
Our data also suggest that attitudes toward particular issues
relevant to helping the poor may be at least partially determined by
the gender of the poor persons who are seen as most impacted by the
issue in question. For example, given their somewhat more positive
view of poor women than that of poor men, middle-class Americans may
be more inclined to support policies that seem to be directed toward
women and children particularly (e.g., support for childcare, food
stamp programs). In fact, policymakers may wish to educate the
public about specific policies that would help poor women and their
children to capitalize on the more positive aspects of people's
feelings toward this group. More generally, policymakers who wish to
help both poor men and poor women may have greater success if they
attempt to frame their attempts to ameliorate poverty in specific
ways. For example, it seems likely that voters would be more
sympathetic to policies that seek to help poor women attain "equal
opportunities" (e.g., by pro viding childcare so that they are able
to work or go to school) than to policies that provide direct
monetary benefits that are tied to increases in family size.
Similarly, policies that seek to help poor men get jobs (e.g., job
training, education) may be seen as viable ways to deal with the
perceived need for poor men to be employed without resorting to
"handouts."
CONCLUSIONS
The widespread acceptance of negative stereotypic images of the
poor, negative attitudes toward the poor, and belief in personal
responsibility for poverty serve as major roadblocks for efforts to
reduce poverty. Given the manner in which the American political
system functions, it can be argued that it is ultimately the
viewpoints of those who hold the most power in this country (i.e.,
the wealthy) that are crucial in determining the success of such
efforts. However, we argue that the views of the middle class are
also very influential in that politicians will inevitably be
persuaded by middle-class voting patterns. Unfortunately, our data
and those of others suggest that the views of the middle class about
the poor are fairly negative. This is problematic for the poor
because he middle class likely serves as a social and political
"protective buffer" for the few who hold the wealth and power) in
this country. In this way, the middle class plays a large role in
maintaining the status quo of inequality. The l ikelihood of
political and social change is limited by the degree to which the
middle class continues to endorse ideological beliefs that include a
strong emphasis on capitalism, beliefs in a just world,
individualism, and the Protestant work ethic. such beliefs are
comforting because they foster the illusion that the United States
is an egalitarian society. However, there are some indicators that
the views of middle-class Americans may be ready to change. Low
voter turn out in recent elections suggests that there s a growing
sense of dissatisfaction with the political system as it currently
operates. Furthermore, it s becoming increasingly hard for Americans
to deny the growing inequality in the distribution of wealth in this
society, one reflection of which is the perception of a "shrinking
middle class." Despite this awareness, however, Americans' attitudes
and beliefs about the poor remain fairly negative. Without the
support of the middle class, the prospect for meaningful and
progressive social change i s dim.
Table I
Stereotypes About Poor Men and Women
Effect size
Characteristic Poor men Poor women ([[eta].sup.2])
Lazy 3.44 (0.91) 3.15 (1.18) .02
Capable 2.90 (1.06) 3.11 (0.94) .01
Stupid 2.47 (0.99) 2.35 (0.96) .00
Unlucky 2.93 (1.20) 2.86 (1.09) .00
Hardworking (a) 2.40 (1.10) 2.75 (1.01) .03
Embarrassed 3.56 (1.10) 3.29 (1.04) .02
Dirty (a) 3.24 (1.17) 2.74 (1.05) .05
Uneducated 3.58 (0.98) 3.41 (0.95) .01
Healthy (a) 2.28 (0.85) 2.51 (0.77) .02
Unpleasant 2.79 (1.13) 2.63 (1.00) .00
Proud (a) 2.06 (1.03) 2.44 (0.95) .04
Immoral 3.33 (1.00) 2.41 (1.10) .00
Intelligent 2.50 (0.85) 2.65 (0.81) .01
Family-oriented (a) 2.46 (1.04) 3.05 (1.00) .08
Angry 3.12 (1.04) 3.00 (0.98) .00
Humble 2.83 (0.98) 2.88 (0.91) .00
Weak 2.78 (1.07) 2.76 (1.02) .00
Violent 2.52(1.01) 2.41 (0.97) .00
Mentally ill 2.24 (1.12) 2.31 (0.97) .00
Have too many children (a) 2.78 (1.09) 3.46 (1.08) .09
Happy 2.11 (0.88) 2.28 (0.80) .01
Abusive 2.48 (1.00) 2.35 (0.99) .00
Monogamous 2.56 (0.92) 2.34 (0.91) .02
Alcoholic (a) 3.35 (1.09) 3.01 (1.00) .03
Strong 2.62 (0.96) 2.74(0.93) .00
Friendly (a) 2.62 (1.02) 2.89 (0.80) .02
Criminal (a) 2.87 (1.15) 2.47 (0.97) .03
Responsible (a) 2.19 (1.02) 2.62 (0.85) .05
Unkind 2.57 (0.94) 2.53 (0.97) .00
Loving (a) 2.79 (1.12) 3.18 (0.86) .04
Depressed 3.53 (1.00) 3.30 (0.96) .01
Physically ill 2.62 (0.98) 2.68 (0.97) .00
Promiscuous 2.58 (0.91) 2.82 (0.94) .02
Nice (a) 2.69 (0.92) 3.04 (0.74) .04
Unmotivated 3.45 (1.11) 3.18 (1.06) .01
Drug abusing 2.88 (1.14) 2.90 (1.03) .00
Moral 2.62 (0.90) 2.77 (0.81) .01
Inconsiderate 2.62 (0.90) 2.40 (0.85) .02
Note. Scores ranged from 1 to 5, with 5 representing greater endorsement
of the adjective (standard deviations in parentheses).
(a) Significant univariate effects.
Table II
Factor Analysis of Items for Attributions of Women's Poverty
Items Factor 1
Factor 1: Internal attributions (M = 3.26, SD = 0.67,
[alpha] = .74)
Lack of effort and laziness by poor women -.81
No attempts at self-improvement among poor women -.73
Alcohol and drug abuse -.65
A lack of motivation caused by being on welfare -.58
Having too many children -.50
Loose morals among poor women -.50
The breakdown of the nuclear family among poor women -.42
Factor 2: External attributions (M = 2.63, SD = 0.75,
[alpha] = .72)
Prejudice and discrimination in hiring .14
Prejudice and discrimination in promotion and wages .12
Failure of industry to provide enough jobs .25
Being taken advantage of by the rich .24
A federal government that is insensitive to the plight .22
of poor women
Factor 3: Cultural attributions (M = 2.77, SD = 0.68,
[alpha] = .60)
Being born with a low I -.06
Not inheriting money from relatives -.05
Having to attend bad schools .17
Being born into poverty .04
The types of jobs that poor women get are often low .05
paying
Percentage of variance explained 17.10
Eigenvalues 3.60
Items Factor 2
Factor 1: Internal attributions (M = 3.26, SD = 0.67,
[alpha] = .74)
Lack of effort and laziness by poor women -.17
No attempts at self-improvement among poor women -.15
Alcohol and drug abuse -.02
A lack of motivation caused by being on welfare -.30
Having too many children -.18
Loose morals among poor women -.16
The breakdown of the nuclear family among poor women -.03
Factor 2: External attributions (M = 2.63, SD = 0.75,
[alpha] = .72)
Prejudice and discrimination in hiring .85
Prejudice and discrimination in promotion and wages .65
Failure of industry to provide enough jobs .61
Being taken advantage of by the rich .59
A federal government that is insensitive to the plight .51
of poor women
Factor 3: Cultural attributions (M = 2.77, SD = 0.68,
[alpha] = .60)
Being born with a low I -.09
Not inheriting money from relatives .06
Having to attend bad schools .13
Being born into poverty .21
The types of jobs that poor women get are often low .16
paying
Percentage of variance explained 9.70
Eigenvalues 2.04
Items Factor 3
Factor 1: Internal attributions (M = 3.26, SD = 0.67,
[alpha] = .74)
Lack of effort and laziness by poor women -.16
No attempts at self-improvement among poor women -.21
Alcohol and drug abuse -.08
A lack of motivation caused by being on welfare -.12
Having too many children .26
Loose morals among poor women .02
The breakdown of the nuclear family among poor women .15
Factor 2: External attributions (M = 2.63, SD = 0.75,
[alpha] = .72)
Prejudice and discrimination in hiring .09
Prejudice and discrimination in promotion and wages .42
Failure of industry to provide enough jobs .22
Being taken advantage of by the rich .15
A federal government that is insensitive to the plight .02
of poor women
Factor 3: Cultural attributions (M = 2.77, SD = 0.68,
[alpha] = .60)
Being born with a low I .66
Not inheriting money from relatives .50
Having to attend bad schools .50
Being born into poverty .43
The types of jobs that poor women get are often low .40
paying
Percentage of variance explained 7.40
Eigenvalues 1.55
Table III
Factor Analysis of Items for Attributions of Men's Poverty
Items Factor 1
Factor 1: Cultural Attributions (M = 2.92, SD = 0.58,
[alpha] = .68)
Being born into poverty .55
Not having the right "contacts" to find jobs .55
Having to attend bad schools .47
Being laid off at work .47
Not inheriting money from relatives .46
Being born with a low IQ .45
Sickness or physical handicaps .44
Factor 2: Internal Attributions (M = 3.38, SD = 0.74,
[alpha] = .81)
No attempts at self-improvement among poor men -.20
Lack of effort and laziness by poor men -.23
Loose morals among poor men -.03
A lack of motivation caused by being on welfare -.11
Alcohol and drug abuse .20
Lack of thrift and proper money management among poor men .21
Factor 3: External Attributions (M = 2.61, SD = 0.76
[alpha] = .72)
Prejudice and discrimination in hiring .27
Prejudice and discrimination in promotion and wages .18
Failure of industry to provide enough jobs .25
A federal government that is insensitive to the plight of .39
poor men
Percentage of variance explained 17.30
Eigenvalues 3.63
Items Factor 2
Factor 1: Cultural Attributions (M = 2.92, SD = 0.58,
[alpha] = .68)
Being born into poverty -.04
Not having the right "contacts" to find jobs -.12
Having to attend bad schools -.09
Being laid off at work -.02
Not inheriting money from relatives -.04
Being born with a low IQ .31
Sickness or physical handicaps .24
Factor 2: Internal Attributions (M = 3.38, SD = 0.74,
[alpha] = .81)
No attempts at self-improvement among poor men .80
Lack of effort and laziness by poor men .74
Loose morals among poor men .69
A lack of motivation caused by being on welfare .61
Alcohol and drug abuse .53
Lack of thrift and proper money management among poor men .49
Factor 3: External Attributions (M = 2.61, SD = 0.76
[alpha] = .72)
Prejudice and discrimination in hiring -.11
Prejudice and discrimination in promotion and wages -.04
Failure of industry to provide enough jobs -.20
A federal government that is insensitive to the plight of -.26
poor men
Percentage of variance explained 13.00
Eigenvalues 2.73
Items Factor 3
Factor 1: Cultural Attributions (M = 2.92, SD = 0.58,
[alpha] = .68)
Being born into poverty .09
Not having the right "contacts" to find jobs .42
Having to attend bad schools .25
Being laid off at work .14
Not inheriting money from relatives .25
Being born with a low IQ -.01
Sickness or physical handicaps .18
Factor 2: Internal Attributions (M = 3.38, SD = 0.74,
[alpha] = .81)
No attempts at self-improvement among poor men -.18
Lack of effort and laziness by poor men -.12
Loose morals among poor men -.18
A lack of motivation caused by being on welfare -.17
Alcohol and drug abuse -.06
Lack of thrift and proper money management among poor men -.09
Factor 3: External Attributions (M = 2.61, SD = 0.76
[alpha] = .72)
Prejudice and discrimination in hiring .73
Prejudice and discrimination in promotion and wages .72
Failure of industry to provide enough jobs .54
A federal government that is insensitive to the plight of .50
poor men
Percentage of variance explained 5.20
Eigenvalues 1.08
(4.) Because we did not expect participant gender to have a major
impact on ratings of poor women and men and in order to avoid
needlessly complicating our results, we chose to covary participant
gender in analyses throughout the paper rather than adding it as an
additional independent variable. As we expected, in general,
participants' gender had small or nonsignificant effects on their
responses. One exception to the general lack of effects for
participant gender concerned attitudes toward poor women and men. A
2 (respondent gender) x 2 (target gender) ANOVA on attitudes toward
the poor revealed a significant interaction, F(1, 200) = 8.82, p
< .01. Probes of this interaction revealed that male participants
did not differ in their attitudes toward poor women (M = 3.32, n =
36) and men (M = 3.32, n = 39), but that female participants had
more positive attitudes toward poor women (M 3.65, n = 66) than they
had toward poor men (M = 3.06, n = 63), F(1, 128) = 25.38, p <
.001.
(5.) We also ran a second version of MANCOVA on the stereotype
items with participant gender added as an independent variable
instead of as a covariate. The main effect for gender in this
analysis was not significant, nor was the target gender x
participant gender interaction (although a handful of the univariate
interactions were significant).
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Catherine Cozzarelli, (1) Michael J. Tagler, (1, 3) and Anna V.
Wilkinson (2)
(1.) Department of Psychology, Kansas State University,
Manhattan, Kansas.
(2.) Texas Program for Society and Health & Rice University,
Houston, TX.
(3.) To whom correspondence should be addressed at Department of
Psychology, 492 Bluemont Hall, Kansas State University, Manhattan,
Kansas 66506; e-mail: tagler@ksu.edu. |