Mutual Influences Among American Parents
for Their Values Placed
on Children’s Conformity
in the 1970s and 1980s
Frans W. P. Van der Slik
Geert W. J. M. Driessen
ABSTRACT. Relative effects of both spouses’ educational levels on
the value parents place on children’s conformity were examined. Eight
General Social Survey samples, covering the 1970s and 1980s, containing information on 3,005 mothers, 2,634 fathers, and their spouses were
analyzed simultaneously. Application of “diagonal reference models”
showed symmetric influence. Although own educational level had the
larger effect on conformity, the effect of spouse’s educational level, particularly the father’s, was substantive. Among mothers, interdependence
was moderated by mother’s employment, and marital happiness. Education of mothers who are the sole breadwinners had a smaller effect on
own child-rearing values, than education of mothers who are not the sole
breadwinners. In addition, education of happily married mothers had a
Frans W. P. Van der Slik is affiliated with the Department of Applied Linguistics,
Radboud University, Nijmegen, the Netherlands.
Geert W. J. M. Driessen is affiliated with the Institute of Applied Social Sciences
(ITS), Radboud University, Nijmegen, the Netherlands.
Address correspondence to: Frans W. P. Van der Slik, Radboud University, Department of Linguistics, P.O. Box 9103, 6500 HD Nijmegen, The Netherlands (E-mail:
f.v.d.slik@let.ru.nl).
The authors would like to express their gratitude to Jacqueline Goodnow and Nan
Dirk De Graaf for helpful comments on an earlier version of the manuscript.
Marriage & Family Review, Vol. 37(4) 2005
Available online at http://www.haworthpress.com/web/MFR
© 2005 by The Haworth Press, Inc. All rights reserved.
doi:10.1300/J002v37n04_06
95
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MARRIAGE & FAMILY REVIEW
smaller effect on own child-rearing values, than education of unhappily
married mothers. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: <docdelivery@
haworthpress.com> Website: <http://www.HaworthPress.com> © 2005 by The
Haworth Press, Inc. All rights reserved.]
KEYWORDS. American spouses, child-rearing values, dominance, education, employment, marital happiness
INTRODUCTION
Within sociology there is a growing interest in the degree to which
wives and husbands influence each other’s viewpoints and behavior. In
early studies, it was assumed that the wife’s viewpoints and behavior
was completely dependent on her husband’s social characteristics, and
that only the latter needed to be considered as explaining variables. This
“conventional view” has been severely criticized because of its paternalistic assumptions (Acker, 1972; Sørensen, 1994). However, in predicting both a wife’s and husband’s voting behavior and class
identification, the husband’s social characteristics turned out to be more
important than the wife’s are, although the wife’s social background cannot be neglected (Baxter, 1994; Davis & Robinson, 1988; De Graaf &
Heath, 1992; Sobel, De Graaf, Health, Zou, 2004). The conventional
approach, then, seems to reflect the paternalistic character of Western
societies quite adequately. It remains open to question, however,
whether patriarchy is restricted (a) to particular content areas, and/or
(b) to particular familial or contextual conditions.
The first type of restriction (to particular content areas) is suggested
by the observation that the areas in which asymmetrical patterns of influence by De Graaf and Heath (1992) labeled as “male dominance”
have been particularly observed. For example, voting behavior and
class identification might be expected to be areas in which the husband’s position carries particular weight (Van Berkel, 1997). When it
comes to areas where women’s interests and involvement might be expected to be stronger, however, “male dominance” might be minimal or
not seen at all. Child-rearing could be such an area, since mothers even
today spend more time raising their children than do fathers.
In the present study the value placed on a child’s conforming to external authority, as measured by Kohn (1989), will be considered. Other
Frans W. P. Van der Slik and Geert W. J. M. Driessen
97
child-rearing values might be studied, as well as parental behavior.
Within socialization research it is well known that parents in lower social positions differ from parents in higher social positions with respect
to their child-rearing practices (e.g., Bronfenbrenner, 1958; Gecas,
1979). Lower educated parents are found to demand more conformity
than do the higher educated parents. Because the parental child-rearing
value conformity could offer a meaningful interpretation for this relationship (Kohn, 1989; Gecas, 1979), many researchers have tried to
clarify the precise nature of the link between social position and this
particular parental child-rearing value (e.g., Alwin, 1984). We will
elaborate on this matter, though we want to emphasize that the nature of
the relationship between parental attitudes and behavior remains
subject to debate.
In addition, conformity to external authority has been associated
with a body of past studies and a history of debate about the assumption and the presence of asymmetrical effects (Maccoby, 1961;
Meijnen, 1977; Spade, 1991). It also has the virtue of having been
measured in eight large-scale General Social Surveys (GSS) in the
United States over the period of 1973 to 1986 (Davis & Smith, 1989),
allowing to test if patterns of influence have changed over time.1 The
1970s and the 1980s have been characterized as decades in which the
process of women’s emancipation has accelerated, resulting in, for example, increasing educational and occupational perspectives for females. The eight GSS surveys offer, therefore, a good opportunity to
examine potential changes in asymmetrical influences among spouses
in this particular episode of American history. Since the educational
and occupational outcomes of males and females continue to converge
(Freeman, 2004), the outcomes of the present study may, therefore,
serve as a reference point regarding the power balance within contemporary American families.
The second possible type of restriction (to particular familial conditions or contextual conditions) is suggested in part by the finding of “independence” in influence patterns, i.e., each spouse’s level of education
being the main predictor of own values held (Spade, 1991). It yielded
evidence that some particular family conditions–in this case, the employment of both spouses–has moderated the degree of asymmetry. The
step now needed is for a check to be conducted on the effects for this
particular value in the United States, taking into account a variety of familial and contextual conditions. The opportunity to do so is provided
by the eight GSS surveys.
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Theory
The main objective of the present study is to investigate the degree to
which spouses’ different educational backgrounds affect both husbands’ and wifes’ child-rearing values. In addition, the aim is to clarify
the conditions that affect the strength of these patterns of influence. Attention is given to the extent to which mutual effects are moderated by
different family conditions (spouses’ employment status, age, having
been divorced, being married unhappily) and contextual conditions
(birth cohort experiences, period effects, those: experiences associated
with events occurring in a particular period).
The choice of level of education as the primary background variable
perhaps may seem surprising. The expected variable when predicting
child-rearing values might be the particular conditions of work that
Kohn and his colleagues have emphasized (conditions such as degree of
autonomy or level of complexity of the job; e.g., Kohn, 1989). These
are, however, conditions traditionally considered as part of the father’s
occupation, leaving the bridge to the mother’s values unaccounted for.
If mothers are involved in paid work, the conditions for both spouses
could be considered, but that circumstance would restrict the sample to
dual earner couples. Considering the relatively low rate of female employment during the 1970s and 1980s, such a restriction appears to be
rather inappropriate. By contrast, a person’s level of education can be
determined for all wives and all husbands. In addition, restricting a husband’s occupation as predictor for both spouses’ child-rearing values is
paternalistic, and leads to a conceptual gap.
How, for instance, does the nature of a husband’s occupation influence the values of an unemployed wife? Specifically, a person who is
not experiencing a particular occupation in any direct fashion and in fact
may be engaged in work that has quite different conditions, may be governed by different influences. In addition, all wives, whether employed
or unemployed, have their own histories that are not shared with their
husbands. Consequently, it may be presumed that their own past experiences exert at least some influence on their current values and behavior.
There are at least two reasons why education might explain that more
highly educated parents are more liberal in regard to child rearing than
parents who are less well educated. First, according to psychodynamic
theory, education facilitates the development of a more secure personality, enhancing the capacity to develop more autonomous, and likely,
less conventional values and behaviors (Adorno, Frenkel-Brunswik,
Levinson, & Sanford, 1950; Lipset, 1960). Second, socialization theory
Frans W. P. Van der Slik and Geert W. J. M. Driessen
99
suggests that the extent to which people are exposed to the educational
system has an enduring effect on the development of liberal values with
regard to a variety of domains (Gabennesch, 1972; Hyman & Wright,
1979; Vogt, 1997). Because one’s educational development takes place
during one’s transition from childhood to adulthood, it might be expected that the influence of education exceeds that of later vocational
choices. It is for this reason that the past experiences of women have to
be taken into consideration as well.
Effects of Own and Spouse’s Education
There is indeed evidence showing that level of education is a stronger
predictor for the value placed on children’s conformity than is current
occupation of parents. Within the US, Alwin (1984) found over time
that the effect of social class on child-rearing values declined between
the years 1958 to 1983, while the predictive power of education increased. Even in 1976, however, Wright and Wright (1976) found that
educational level was a stronger predictor than social class for the value
placed on a child’s conforming to authority. These findings have been
repeatedly replicated (Alwin & Jackson, 1982; Alwin & Krosnick,
1985; Krosnick & Alwin, 1987), and they have been found to be stable
across countries. Slomczynsky, Miller, and Kohn (1981) found that education is a stronger predictor than occupational conditions for the
value placed on a child’s conformity in both the U.S. and Poland. Education also predicts such child-rearing values in the Netherlands as conformity to parental rules for mothers and fathers, but both occupation
and income are not predictive (Meijnen, 1977).
The level of a spouse’s education also has effects on the child-rearing
value conformity. Bronfenbrenner (cited by Maccoby, 1961) and
Meijnen (1977) found that the husband’s education is a strong predictor
of both own as well as spouse’s child-rearing values, while the wife’s
education has no effect on her husband’s values. In line with that trend
of asymmetrical effects, Spade’s (1991) study of dual earner couples
found that the child-rearing values of husbands and wives are best predicted by their own educational backgrounds. Spouse’s education had
no significant effect. However, a trend existed in which the educational
level of husbands had a stronger influences on wives’ child-rearing values than the wives’ education effecting the husband’s values.
Such asymmetrical effects may have several bases, the first being the
general presence of a widely accepted cultural norm that the position
and the viewpoints of husbands should be dominant (Ganong &
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Coleman, 1992; Tynes, 1990; Sidanius, Pratto & Bobo, 1994). Marriages in which wives have less education than her husband are particularly susceptible to the culturally accepted norm that husbands should
be dominant, a premise that is not violated nor often even recognized.
However, compliance to this norm could become potentially problematic when the wife has a higher education than her spouse. For husbands in such a mixed marriage, in turn, an “adjustment” to values
corresponding with his wife’s education could imply a sacrifice he is
not able or willing to make. Such asymmetry is referred to as the “sexual
sociology of adult life” and implies that a status violation occurs when
the husband has a lower education than his wife (Brines, 1994;
Chodorow, 1974). Being married to a higher educated wife is one thing,
being ridiculed by his friends and acquaintances for his loss in his “masculinity” is quite another (Chodorow, 1974; Williams, 1989).
For a wife with more education than her husband, an “adjustment” to
her spouse’s position would imply a sacrifice that would have several
“advantages.” First, she may have a less problematic relationship. A
study by Hornung, McCullough, and Sugimoto (1981) has found that in
marriages in which husbands has less education than his wives, husbands engaged in more. Second, such an adjustment would be positively reinforced by her spouse and her surroundings as wives and
husbands “do gender” (West & Zimmerman, 1987). Specifically, wives
“do gender” by accommodating to their spouse’s position, whereas husbands refuse to do so in the face of opposition.
Following De Graaf and Heath (1992), therefore, we formulate the
“male-dominance” hypothesis, by stating that the educational level of
wives is less important than their husbands’ educational level for influencing the child-rearing value of conformity. Moreover, this will be true
both for her own and for her husband’s degree of valuing conformity to
parental rules. Such a prediction is expected to hold, even when the wife
is more highly educated than her spouse.
When we speak of “male dominance,” we mean that wives adjust
more to their husband’s position than the other way around, irrespective
of the level of the wife’s education. This means that the probability that
wives adopt values, which are in accordance with the husband’s educational level, is greater than the probability that they will retain values
that are in line with own educational level (Van der Slik, De Graaf &
Gerris, 2002).
Alternatively, what may count is the difference in educational attainment between spouses. The asymmetrical pattern may be reversed in
families in which the wife’s level of education is higher that the hus-
Frans W. P. Van der Slik and Geert W. J. M. Driessen
101
band’s (Davis & Robinson, 1988). “Resource theory” (Blood & Wolfe,
1960) predicts that the person with the most resources within the relationship will be the most powerful. Blood and Wolfe consider spouses’
education, occupation, and income as potentially relevant resources.
Given that parents’ education is a main predictor of the value that mothers and fathers place on children’s conformity, this resource, rather than
parents’ occupation, is used in the present study. It may be assumed that
the one with more education has more status outside the family than the
one with lesser education.
In mixed couples, the parent with the lower level of education, therefore, may be expected to move toward the child-rearing values of a parent with higher education. Consequently, we hypothesize that within
educationally heterogamous couples, spouses adjust to whoever has the
higher educational level, an expectation referred to as the “status
maximization” hypothesis.
Interaction Effects of Family Conditions
In addition to levels of education, effects may result from conditions
that are unevenly distributed throughout families. Consequently, the
present study considers four conditions that may bring about such effects: employment, age, the occurrence of divorce, and the degree of
marital unhappiness. Spouses’ employment status is considered because it is known to affect power relationships within the family (e.g.,
Komter, 1989; Szinovacz & Harpster, 1993). The results of a study by
Spade (1991) support the hypothesis that a wife’s employment increases her power base within the family. In a sample of dual-earner
couples, independence between spouses was reported. For both husbands and wives, their own educational level was a strong predictor of
child-rearing values, whereas their spouse’s education had no significant effect. Moreover, the wife’s employment seemed to affect the authority of her husband even more when the husband had retired
(Szinovacz & Harpster, 1993).
The comparisons that should be made (and are made in the present
study) are between families in which (1) only the husband has a paid job
outside the home, (2) both husband and wife are employed, (3) only the
wife is employed, and finally, (4) both husband and wife are unemployed.2 If the mother’s employment does, indeed, affect her power
base in the family, it might be deduced that male dominance is typically
observed in circumstances where fathers are the sole breadwinners.
Mutual dependency occurs, on the other hand, in case where both par-
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ents are involved in paid work, or both parents are unemployed. Finally,
female dominance is expected to occur in circumstances where mothers
are sole breadwinners.
However, a violation of the culturally accepted norm that the position
and the viewpoint of the husband are dominant, might neutralize or
even reversed, in circumstances such as the family being unemployed.
In this particular case of male status violation, the mother might, willingly or unwillingly, preserve her husband’s “masculinity” by taking
less account of own educational level, implying that the relative effect
of the father’s education on the mother’s child-rearing values will be
stronger. Thus, in accordance with the “status violation thesis,” male
dominance is expected to occur both when fathers are the sole breadwinners or in case where fathers are unemployed. In contrast, mutual
dependency will typically be observed in circumstances where both
parents are employed.
The age of parents is considered because this may also affect the
power balance within the family. Hill (1965), following Blood and
Wolfe (1960), has found that the power of wives increases across the
life span. Szinovacz and Harpster (1993) have found that the husband’s
dependency on his wife increases with age, while no such aging affect is
observed for wives.
Wink and Helson (1993) also have reported that husbands’ and
wives’ competence and emotional dependence tend to converge as
spouses grow older, suggesting that more egalitarian relationships develop among older couples. Thus, older wives may be expected to adjust less strongly to their husband’s child-rearing values than would
younger wives. In contrast, older husbands may be expected to adjust
more strongly than younger husbands to their wife’s child-rearing values. We term this the “aging” hypothesis.
Next, the pattern of influence between husbands and wives may be
affected by the degree of marital happiness that couples experience. As
can be deduced from literature on the “marriage gradient” (Peplau,
1983), unmarried men and women have asymmetrical expectations
about their future partners. Females expect their future partners to be
‘more intelligent, better able to handle things, more successful, higher
paid, and to have higher educational achievements’ (Ganong &
Coleman, 1992: p.60) (or, in short, to be dominant), however, males expect their future partners to be comparable to themselves.
Occasionally, however, these expectations are not fulfilled in the
marriage, and, given their higher expectations, it might be argued that
wives are more easily disappointed with their spouse’s lack of abilities
Frans W. P. Van der Slik and Geert W. J. M. Driessen
103
than husbands are disappointed with deficiencies in their wives’ abilities. As a consequence, wives may report being unhappily married more
often (Tichenor, 1999; Twenge, Campbell & Foster, 2003), and at the
same time as they are becoming more dominant within the family.
Hence, the “unhappily married” hypothesis predicts that unhappily
married wives will adjust less strongly to their husband’s child-rearing
values, and will affirm their own child-rearing values more strongly
than will happily married wives. We do not expect to find differences
between unhappily married husbands as compared to happily married
husbands.
Finally, having been divorced could also make a difference in child
rearing values. For example, mothers have more influence on the child
rearing of their children than do stepfathers (Crosbie-Burnett &
Giles-Sims, 1991), a finding suggesting that wives are apparently not
expected to adjust to the child-rearing values of their new husbands.
Since, in most cases the children within stepfamilies are not the father’s
biological children, it might be hypothesized that a husband, married to
a wife who has been divorced will adjust to his wife’s child-rearing values, (Marks & McLanahan, 1993). The relevance of this “having been
divorced” hypothesis emerges from the rapid increase of divorce and remarriage rates from the late 1960s until the second half of the 1980s,
and the accompanying increase of American children who experienced
the divorce of their parents.
Interaction Effects of Contextual Conditions
General contextual conditions may also be expected to be relevant.
There is much evidence for an increase of educational attainment for
women; that is to say that the educational gap between men and women
in the US has diminished in recent times. In 1955, for example, 43% of
males 18 and 19 years of age were enrolled in school, compared with
23% of young adult females. By 1985, however, 52% of males, and
51% of females in this particular age group were enrolled in school (US
Bureau of the Census, 1998). Recent reports of the Census Bureau show
that girls’ school enrollment rates have even surpassed boys’ (US Bureau of the Census, 2002). As a result of their increased educational opportunities, women’s self-assertion may have increased, as well.
Consequently, the asymmetrical pattern of a husbands’ education influencing both spouses’ values more than the wife’s education, might be
expected to occur more frequently in birth cohorts that experienced
greater educational inequalities between males and females, than those
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that have experienced more equal opportunities for both sexes (the
‘birth cohort’ hypothesis).
To differentiate between successive birth cohorts, we used differences in school enrollment rates for males and females when respondents were 18 years of age because most young adults start looking for a
steady relationship at this age. Gender differences in school enrollment
rates of birth cohorts are preferred for at least two reasons. First, if birth
cohort effects exist, theoretically meaningful hypotheses about the nature of these effects can be tested (Rodgers, 1982). Second, birth date,
age and period are linear dependent, making it impossible to disentangle
their unique effects (Glenn, 1977).
Instead of a relaxation of gender based educational differences, the
women’s liberation movement during the late 1960s and 1970s may
have increased the self-consciousness of females (Markson, 1984).
Assuming that some time delay is required before feminist ideas have
permeated much of American society, the asymmetrical pattern of husband’s education influencing their own as well as wife’s viewpoints,
this process might be less likely to occur during the 1980s than it did in
the 1970s. Since these changes are expected to affect all people equally,
we term this the “period” hypothesis.
METHOD
Data
Analyses are based on the 1973, 1975, 1976, 1978, 1980, 1983, 1984,
and 1986 data sets of the General Social Surveys (GSS), simultaneously. In the 1972, 1974, 1977, 1982, and 1985 data sets the questions
about child rearing were not asked, and there were no GSS surveys in
1979 and 1981. Unfortunately, more recent GSS surveys could not be
used since the dependent variable for the present study “the value
placed on a child’s conformity to external authority,” as measured by
Kohn (1989), has not been included. In the 1973 survey and for half of
the 1975 and 1976 surveys block, quota sampling was used. Full probability sampling was employed in half of the 1975 and 1976 surveys and
in the 1978 through 1986 surveys. “Each survey is an independently
drawn sample of English-speaking persons 18 years or over, living in
non-institutional arrangements within the United States” (Davis &
Smith, 1989: p. 1).
Frans W. P. Van der Slik and Geert W. J. M. Driessen
105
The selected data sets have information from 12,035 respondents.
Given the aim of the present study, only the information for parents who
were married at the time of interview can be used, or a total of 6,407 respondents who fit this criterion. Excluded, of course, were Childless
persons and those who were not married at the time of the interview affects were excluded. These exclusions also effected the representativeness of the sample,3 which meant that the outcomes of the present study
are restricted to married Americans with children.
Cases with no valid information on the selected variables have been
omitted. As a result, 5,639 respondents (3,005 mothers and 2,634 fathers, and their spouses) remain for the analyses. In response to this loss
of cases, we tested whether the loss of 768 additional cases affected the
representativeness of the sample of married persons. We found two differences: the reduction of cases affected the distribution of respondents’
education: those with less than a high school education are over-represented (χ2 = 190.49; df = 4; p < .001) as well as those who were interviewed in the 1970s (χ2 = 69.32; df = 1; p < .001).
The latter difference occurs primarily because at least one third of the
respondents interviewed in the 1980 and 1986 GSS surveys have been
asked about the value they place on children’s conformity in a phrasing
which is incongruous with the one used in the present study. Despite the
rather large number of respondents involved, however, we found no significant differences for the remaining characteristics of the respondents.
Consequently, the outcomes from the present study, though treated with
some caution, appear to be representative of married Americans with
children during the 1970s and 1980s.
Variables
Within the eight GSS samples selected, all respondents have been
asked to rank the qualities they value in children in terms of statements
adapted from Kohn’s national study (Kohn, 1989). The GSS versions of
the Kohn-statements refer to a child in general, regardless of age or gender, whereas Kohn’s items were referring to a child of the same age and
sex of a preselected child of one’s own (Kohn, 1989). The original
phrasing of Kohn instrument was adopted in the 1973, 1975, 1976, 1978
and 1983 GSS surveys, as well as in part of the 1980 survey. The wordings were changed slightly in the 1984 and 1986 surveys and part of the
1980 survey. For example, instead of using the “he” form when a child
was designated, these surveys speak of “a child.” Previous research has
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demonstrated that this different phrasing does not have an impact on the
mean rankings of the items (Schaeffer, 1982; Alwin & Krosnick, 1985).
In addition, it has been found that neither children’s age (Alwin,
1989) nor children’s gender (Alwin, 1995) has a substantive effect
on the qualities that parents value in children. In all but the 1984 and
the 1986 GSS surveys, the child-rearing qualities were presented in
the same ordering that Kohn used. However, in the 1984 and 1986 surveys, one-third of the respondents were presented the child-rearing
statements in reversed order. Research indicated that these changes in
response order do not affect the latent variable, conformity to external
authority, which underlies the responses (Krosnick & Alwin, 1987;
1988). In sum, it appears that the information can be analyzed simultaneously.
Following Kohn (1989), we performed a one-factor principal component analysis, using twelve of the thirteen child-rearing qualities and the
listwise option for missing data.4 High scores on this component indicate conformity to external authority, whereas low scores point to autonomy as a child-rearing value (but see Alwin, 1989, and Alwin &
Krosnick, 1985, for a shaded interpretation). We analyzed the conformity scores of male respondents and female respondents separately, the
two dependent variables for this study. The results were very similar to
those reported by Kohn, 1989).
The independent variables are both spouses’ educational levels
coded as: (1) less than high school; (2) high school; (3) more than high
school (including associate/junior college) and less than bachelor’s degree;5 (4) bachelor’s; (5) graduate.
Covariates are both spouses’ employment (coded as 1 = only husband
has a paid job [reference category], 2 = both spouses paid job, 3 = only
wife has a paid job, and 4 = both spouses no paid job); (b) respondent’s age;6
(c) respondents having been divorced; (d) the rated unhappiness of the marriage (coded as 1 = very happy; 3 = not too happy); (e) differences between school enrollment rates of females and males (i.e., when
respondents were 18 years of age (US Bureau of the Census, 1998)
have been imputed to measure successive birth cohort experiences7);
and (f) period (1970s [= reference category], 1980’s).
In addition, we controlled for family income (1 = lower than $1,000;
2 = $1,000 to $2,999; 3 = $3,000 to $3,999; 4 = $4,000 to $4,999; 5 =
$5,000 to $5,999; 6 = $6,000 to $6,999; 7 = $7,000 to $7,999; 8 = $8,000
to $9,999; 9 = $10,000 to $14,999; 10 = $15,000 to $19,999; 11 = $20,000
to $24,999; 12 = $25,000 or over), because it has been found to have a
negative effect on valuing children’s conformity (Alwin & Jackson,
Frans W. P. Van der Slik and Geert W. J. M. Driessen
107
1982). Missing data on family income have been set to the average family income of the year in which the GSS survey was administered. The
potential consequences of this substitution were taken into account by
including a dummy, measuring whether respondents have given valid
information about income.
In general, these subsamples are very similar. The following differences were significant: (1) mothers valued conformity less than fathers,
an outcome which has been found repeatedly, (2) the mean age of the
mothers was around 43 years, while fathers were around 47 years of
age; (3) fathers have experienced a divorce more often than mothers,
while mothers reported more often to be unhappily married than fathers,
and (4) fathers are more likely to provide information on family income.
We found no significant differences between the two subsamples in
regard to the other variables (spouses’ education, employment, cohort
experiences, period, and income). In short, the subsamples of mothers
and fathers appeared to be very similar with respect to the variables of
interest (see Table 1).
TABLE 1. Characteristics of Selected Subsamples of Mothers and Fathers
Mothers (N = 3,005)
Fathers (N = 2,634)
Mean
S.D.
Mean
S.D.
T/F
p
⫺.09
.99
.10
1.01
⫺7.35
Mother’s education
2.11
1.01
2.15
1.04
n.s.
Father’s education
2.26
1.21
2.28
1.21
n.s.
3.50
n.s.
–both paid work
.35
.48
.36
.48
⫺
⫺
–only father paid work
.44
.50
.40
.49
⫺
⫺
–only mother paid work
.05
.21
.06
.23
⫺
⫺
–both no paid work
.16
.36
.18
.39
⫺
43.61
14.36
47.34
15.23
⫺9.45
< .001
< .01
Dependent variables:
Conformity to parental rules
< .001
Independent variables:
Covariates:
Spouses’ employment:
Age
Having been divorced
⫺
.15
.36
.18
.38
⫺2.33
1.40
.55
1.35
.52
3.51
Birth cohort experiences
14.01
4.12
14.10
3.63
n.s.
Interviewed in the 1980s
.42
.49
.41
.49
n.s.
9.41
2.49
9.50
2.51
.07
.26
.04
.20
Unhappily married
Family income
Missing on family income
< .001
n.s.
5.14
< .001
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Analyses
We use diagonal reference models, introduced by Sobel (1981;
1985), in order to assess the relative effects of own and spouse’s education. Diagonal reference modeling is particularly suited to estimate
spouse effects when marital partners are heterogamous with respect to
an independent variable. Diagonal reference models have been used in
various studies analyzing spousal effects (De Graaf & Ganzeboom,
1990; De Graaf & Heath, 1992; Sorenson & Brownfield, 1991; Van
Berkel, 1997; Van der Slik et al., 2002; Sobel et al., 2004).
The basic assumption behind these models is that, within educationally homogamous couples, the educational level of one’s spouse cannot
have an additional effect on one’s own child-rearing values. Of course,
educational homogamous spouses, could influence each other on the
basis of characteristics in which they differ, but that would be subject
for a subsequent study. As a consequence, the child-rearing values of
homogamous couples can be considered as the reference for other,
heterogamous couples.
Within diagonal reference modeling, the child-rearing values of an
educationally heterogamous parent (say with educational level 2, while
spouse’s educational level is 4), are modeled as a function of the
child-rearing values of homogamous couples with educational level 2,
and child-rearing values of homogamous couples with educational level 4.
If the child-rearing values of this heterogamous parent resemble those
of homogamous couples with educational level 2, own education has
the larger effect.
In contrast, if this parent’s child-rearing values come close to those of
homogamous couples with educational level 4, the spouse’s education
has the larger effect. Note that, in the latter case, it is assumed that this
parent’s child-rearing values have changed in such a direction that
spouse’s education could become predictive. Table 2 provides an overview of the diagonal models representing our hypotheses. Since the
models are equivalent for fathers, we present only the models for mothers. The models for fathers are made up in similar fashion.
The baseline Model A represents the “male dominance” hypothesis.
Male dominance will be found if the weight factor (w), referring to the
relative effect of female’s education on her child-rearing value conformity is significantly less than .5. In that particular case, the relative effect of her spouse’s education would outweigh wife’s education (1-w).
It is assumed that w lies in-between the 0-1 interval.
Frans W. P. Van der Slik and Geert W. J. M. Driessen
109
TABLE 2. Model Specifications, Given for Mothers Only
Model A
Model B
Model F1
Model F2
Model F3
Model F4
Model C1
Model C2
Male dominance (baseline model)
MCFijk = (w) · (meduci) + (1 - w) · (feducj) + ΣBl Xijkl + eijk
Where:
i = level of education of mother (1-5)
j = level of education of father (1-5)
w = weight (0 ⱕ w ⱕ 1)
k = 1 through 3,005 (mothers)
l = number of covariates
e = error term
Status maximization
If: mother’s education < father’s education
w=1⫺w
Employment
w = (p + pjj · jj + pnj · nj + pnn · nn)
Aging
w = (p + page · age)
Unhappily married
w = (p + punhap · unhap)
Been divorced
w = (p + pdivorced · divorced)
Cohort
w = (p + pcoh · coh)
Period
w = (p + pp80 · p80)
ΣBl Xijkl = B1 · jj + B2 · nj + B3 · nn + B4 · age + B5 · unhap + B6 · divorced + B7 · coh +
B8 · P80 + B9 · income + B10 · misinc
a MCF = mother’s conformity to external authority score; meduc = mother’s educational level; feduc = fa-
ther’s educational level; jj = both spouses paid job; nj = only mother paid job; nn = both spouses no paid job;
age = years of age; unhap = unhappily married; divorced = having been divorced; coh = birth cohort experience; p80 = period: interviewed in the 1980s; income = family income; misinc = missing on family income
Model B, representing the “status maximization” hypothesis, contains a symmetric heterogamy effect. This is modeled parsimoniously
by inverting the weights (w) and (1-w) if the spouse has the higher education. Whereas Model A assumed that, independent of the level of the
spouse’s education, the effect of the mother’s education always has to
be weighted by (w), Model B assumed that this only applies if her education is higher than her spouse’s education. If the spouse’s education is
the higher one, Model B assumes that the effect of the spouse’s education has to be weighted by (w).
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In order to test the subsequent hypotheses, interaction effects have
been incorporated in baseline Model A. Models F1 through F4 (representing respectively, the “spouses’ employment,” “aging,” “having
been divorced,” and “unhappily married” hypotheses), and Models C1
and C2 (representing the “birth cohort,” and “period” hypotheses), incorporate interaction effects on the weight factor (w). For example, the
“unhappily married” hypothesis predicts that unhappily married mothers adjust less strongly to their spouse’s values than do happily married
mothers. This would imply that the relative effect of the education of an
unhappily married mother on her child-rearing value conformity will be
stronger than the effect of a mother’s education in case she is happily
married. The weight factor (w = p + punhap ⋅ unhap) models this interaction effect (see Table 2, Model F2).
When a mother is married unhappily (unhap = 3), the weight factor of
mother’s education would be: (w = p + 3. punhap), whereas in cases that
the mother reported to be married happily (unhap = 1) the weight factor
of mother’s education would be (w = p + punhap). By incorporating interaction terms in the Models F1 through F4, C1 and C 2, these models are
nested within the baseline Model A, and use additional degrees of freedom, as compared to the baseline Model A.
We used the standard Likelihood-ratio test (e.g., Sobel 1981; 1985)
for the comparison of these nested models with the baseline model. The
nested model results in a significant improvement of the baseline model
(p < .05) if the difference in the Likelihood-ratio is at least 3.84 against 1
degree of freedom. By design, for Model B the same number of parameters has to be estimated as in Model A. So, Model B uses the same number of degrees of freedom as Model A. This implies that any
improvement related to Model A will be considered as significant (e.g.,
Hendrickx et al., 1990). We conducted the analyses by means of Non
Linear Regression (NLR), which is a procedure within SPSS (1990).
RESULTS
Model Testing
The general fit statistics for both mothers’ and fathers’ models are
presented in Table 3 (the equation belonging to each hypothesis is presented in Table 2). The “male dominance” hypothesis is represented by
Model A, the “status maximization” hypothesis by Model B. Models F1
Frans W. P. Van der Slik and Geert W. J. M. Driessen
111
TABLE 3. Goodness-of-Fit Statistics for Diagonal Reference Models Predicting Mother’s and Father’s Child-Rearing Value Conformity to Parental Rules
Fit Statistics
Mothers
Model
Description
df
Fathers
2
Diff.in ⫺2L
df
2
Diff.in ⫺2L
Aa
Male dominance
16
⫺
16
⫺
Ba
Status maximization
16
3.97
16
14.71
F1b
Employment
17
⫺4.23*
17
⫺3.16
F2b
Aging
17
⫺3.01
17
.37
F3b
Married unhappily
17
⫺4.38*
17
⫺1.17
F4b
Been divorced
17
⫺.81
17
.03
C1b
Birth cohort
17
.18
17
⫺1.04
C2b
Period
17
.70
17
1.38
Notes: Differences are calculated from Model A in each case.
See Table 2 for model specifications.
a Model A is the preferred model for fathers.
b Models F1, and F3 are the preferred models for mothers.
* p < .05
For Model A (mothers): ⫺2L2 = 604.57; for Model A (fathers): ⫺2L2 = 401.22
through F4 represent the family hypotheses, while Models C1 and C2
represent the contextual hypotheses.
With five parameters for the diagonal, 1 weight parameter w, and 10
parameters for the covariates, the baseline Model A uses 16 degrees of
freedom. For fathers as well as for mothers, Model B, representing the
“status maximization” hypothesis, was clearly less appropriate than
Model A. Instead of a decrease in the Likelihood-ratio, an increase was
found, for both mothers and fathers (cf. Table 3, Diff. 2L2). These results imply that a status maximizing (or resource) interpretation was not
justified by the data.
Next, Models F1 through F4 incorporate interaction terms to model
family effects of spouses’ employment, aging, being married unhappily, and having been divorced (see Table 2). For both mothers and fathers, the “employment” hypothesis turned out to be only partially
supported. The hypothesis that mutual dependency will be found when
mothers and fathers are both employed, seemed to be refuted, since the
interaction terms, modeling these effects, did not result in a significant
decrease of the Likelihood-ratio. In addition, the “male dominance” hypothesis in case both parents are unemployed is refuted, since the interaction terms, modeling these effects, did not result in a significant
decrease of the Likelihood-ratio as well. The accompanying interaction
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terms were, therefore, not considered for further analyses. Only the interaction effect modeling whether or not the mother is the sole breadwinner, resulted in a significant improvement of the model fit (F1:
⫺2L2 decreases 4.23, against 1 df, p < .05). Next, for mothers and fathers, the “aging” (F2) hypothesis was rejected, since no significant decrease in the Likelihood-ratio was found. The “unhappily married”
hypothesis seemed to be supported for mothers (F3: ⫺2L2 decreases
4.38, against 1 df, p < .05). No support has been found for the “having
been divorced” hypothesis. Finally, Models C1 and C2 incorporate interaction terms to model birth cohort experiences, and trends over time.
No support was found for these hypotheses. In sum, for mothers Model,
F1, and F3 (explained variance is 16%) were preferred, while for fathers
Model A (explained variance is 15%) was favored. An important qualification is that, in line with previous studies, the explained variance is
quite small.
The Relative Effects of Spouses’ Education
The parameter estimates of the baseline Models A, and models F1
and F3 for mothers, can be found in Table 4. The weight factors (w) and
(1-w) of Model A for mothers indicated that the relative effect of the
mother’s education (w) on her valuing conformity was .61 (p < .01),
while the relative effect of her husband’s education (1-w) was .39 (p <
.01). Within heterogamous couples, it appeared that own education is
more important than spouse’s educational characteristics. This observation also holds for fathers (Table 4, Model A for fathers). The relative
effect of the father’s education (w) on his conformity orientation was
.76 (p < .01), while the relative effect of his spouse’s education (1-w) on
his conformity scores was .24, which is by no means negligible (p <
.01). Although the relative effect of the mother’s education on her husband’s conformity was not as strong as the relative effect of the husband’s education on his wife’s conformity, these results point to mutual
dependency. Spouse’s education did affect one’s own child-rearing values in a substantive way, suggesting that the “male dominance” hypothesis is refuted. This finding of mutual dependency seems to imply that
both father’s and mother’s child-rearing values have changed into the
direction of their spouse’s child-rearing values.
For mothers, the “employment” hypothesis was partially supported,
while this hypothesis was rejected for fathers. In families where mothers are the sole breadwinners, the relative effect of their education is reduced to a negligible .13 (see Table 4, Model F1), implying that male
Frans W. P. Van der Slik and Geert W. J. M. Driessen
113
dominance operates regarding the mother’s child-rearing value conformity. In addition, the results do not replicate Spade’s (1991) finding
that, within a sample of dual earner couples, spouse’s education is irrelevant in predicting parental child-rearing values, since we found that the
interaction term, modeling the effect of education for dual earner cou-
TABLE 4. Parameters, and in Parentheses Their Standard Errors, for Preferred Diagonal Reference Models (F1 and F3 for Mothers), and Base Line
Modelsa
Mothers
Weight factors of:
Own education (w)
Spouse’s education (1-w)
Mother’s education, when mother is the sole
breadwinner
Mother’s education, when mother is not the sole
breadwinner
Mother’s education, when mother reports to be
married happily
Mother’s education, when mother reports to be
married not too happily
Level of conformity of educational homogamous
parents
Less than high school
High school
More than H.S. less than Bachelor’s
Bachelor’s
Graduate
Covariates (unstandardized B’s):
–Both spouses paid job
–Both spouses no paid job
–Only mother paid job
Age/100
Unhappily married
Having been divorced
Birth cohort
Period: interviewed in the 1980s
Controls:
Family income
Missing on income
Fathers
Model A
Model F1
Model F3
Model A
Base line
Employment
Unhappily
married
Base line
.61 (.05)
⫺
⫺
.76 (.07)
.39 (.05)
⫺
⫺
.24 (.07)
⫺
.13 (.22)
⫺
⫺
⫺
.64 (.05)
⫺
⫺
⫺
⫺
.52 (.14)
⫺
–
–
.94 (.09)
–
.97 (.11)
.97 (.11)
.98 (.11)
.71 (.14)
.46 (.11)
.45 (.11)
.48 (.11)
.42 (.14)
.23 (.12)
.23 (.12)
.22 (.12)
.12 (.15)
⫺.10 (.13)
⫺.12 (.15)
⫺.10 (.14)
⫺.25 (.16)
⫺.22 (.16)
⫺.22 (.16)
⫺.18 (.16)
⫺.37 (.18)
.03 (.04)
.03 (.04)
.03 (.04)
⫺.06 (.04)
.04 (.06)
.04 (.06)
.04 (.06)
⫺.12 (.06)
⫺.07 (.08)
⫺.11 (.08)
⫺.07 (.08)
.08 (.08)
.02 (.14)
.02 (.13)
.03 (.14)
.54 (.14)
⫺.07 (.03)
⫺.07 (.03)
⫺.08 (.03)
⫺.08 (.03)
⫺.01 (.05)
⫺.01 (.05)
⫺.00 (.05)
⫺.11 (.05)
⫺.01 (.00)
⫺.01 (.00)
⫺.01 (.00)
.00 (.01)
.14 (.04)
.14 (.04)
.14 (.04)
.05 (.04)
⫺.05 (.01)
⫺.05 (.01)
⫺.05 (.01)
⫺.04 (.01)
.06 (.06)
.06 (.06)
.06 (.06)
⫺.11 (.09)
a Reference categories are: Only husband paid job; Interviewed in the 1970s
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MARRIAGE & FAMILY REVIEW
ples, was not statistically significant. Thus, the finding of mutual dependency, found for couples in which the father is the sole breadwinner,
applied for dual earner couples as well. Contrary to our expectations,
however, we also observed mutual dependency for parents who are both
unemployed.
The rejection of the “aging” hypothesis implies that no evidence was
found for a change in the power balance within the family across the life
span. Though we did observe a trend into the direction of an increasing
effect of the wife’s education on her child-rearing values, the improvement of the model fit was nonsignificant (see Table 4: F2: ⫺2L2 decreases 3.01, against 1 df, n.s.).
The “unhappily married” hypothesis was confirmed for mothers (see
Table 4, F3). When mothers report that they are happily married, the relative effect of their education on their conformity scores is .51 (p +
punhap × unhap = .31 + .21 ⋅ 1), while this effect is .94 (p + punhap ⋅ unhap =
.31 + .21 ⋅ 3) when mothers reported to be married unhappily. As expected, no such pattern was found for fathers because, whether or not
they are married unhappily, the relative effect of the fathers remained
.74. These outcomes imply mutual dependency when mothers reported
being happily married and independence when they reported being unhappily married.
Having been divorced seemed to have had no significant impact on
the power balance between spouses because the related hypotheses
were rejected. Fathers and mothers who have experienced divorce were
affected in their child-rearing values by their spouses in much the same
way as mothers and fathers who have not been divorced. Such results
imply that parents who had been divorced either adjust to their newly
wed spouses or that their new spouses have about the same educational
level as the spouses from whom they were divorced. In addition, the
women’s liberation movement of the late 1960s and 1970s appeared to
have had no great impact on the power balance between spouses since
mutual dependency in regard to child-rearing values was as present in
the 1970s as it was in the 1980s.
The five diagonal reference intercepts of Model A for mothers represent mothers’ levels of conformity for educationally homogamous
mothers, while the five intercepts of Model A for fathers represent levels of fathers’ conformity scores for educationally homogamous fathers. These intercepts revealed that, after taking the effects of the
covariates into account, mothers and fathers with less than high school
Frans W. P. Van der Slik and Geert W. J. M. Driessen
115
valued conformity most strongly, while those with the highest degrees
valued conformity the least.
In addition, we found significant independent effects of family income
for both mothers and fathers. Mothers and fathers who gave invalid information about family income appeared to be very similar to those who did
not answer this question, implying that substituting invalid answers by average year income did not affect the outcomes of the analyses presented in
this study. Those having more family income valued conformity less.
Older fathers valued conformity more than younger fathers did, and fathers
who have been divorced valued conformity less than did fathers who have
never been divorced (these effects do not hold for mothers).
Finally, mothers interviewed in the 1970s valued conformity less
than those interviewed in the 1980s, though fathers did not. It appears
that for mothers the 1980s can be characterized as a period of restoration. This finding is not in line with the results of Alwin (1986), who
made use of virtually the same GSS data sets as used in the present
study. Examining trends in the 1970s and 1980s in more detail, Alwin
(1986) finds no apparent trend. Alwin, however, made use of the entire
adult population, and did not differentiate between fathers and mothers.
Whether the different trends for mothers and fathers, found in the present study, have continued in the 1990s, and the beginning of this century, cannot be answered unambiguously because the Kohn’s items
have not been included in the GSS surveys for the past fifteen years.
DISCUSSION
The main objective of the present study was to examine the degree to
which own as well as spousal educational attainment affects the value
placed on a child’s conformity to external authority. The overall pattern was one of interdependency between American spouses with regard to this value. It appeared that early studies in which the mothers’
education was not accounted for in predicting either own or husbands’
(fathers’) values, have resulted in incomplete outcomes. Specifically,
the spouse’s own educational background does matter in a substantive
way. In fact, a mother’s level of education was more important in predicting her conformity values than was her husband’s educational attainment.
Another objective of this study was to examine whether several family conditions and contextual conditions can clarify or moderate the existence of asymmetric patterns of influence. Two effects were found:
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mutual dependency within couples with regard to their child-rearing
values was moderated by mothers’ sole employment, and the degree of
unhappiness with the marriage. No such effects were found for fathers
and it was evident that the sole employment of mothers is associated
with male dominance instead of female dominance. We believe that this
finding may be interpreted as the result of male status violation. In order
to preserve the husband’s masculinity, the mother–willingly or unwillingly–gives in and appears to accommodate to the husband’s viewpoints. The power balance in families in which the father is the sole
breadwinner is comparable to the power balance in dual-earner families. These outcomes seem to undermine the general accepted idea that
female employment will increase the wife’s power base within the
family, at least in the 1970s and 1980s.
Obviously, these findings appear to be in direct contradiction to the
core of feminist emancipatory philosophy, and it remains to be seen as
to whether similar analyses of more recent data will result in a less disturbing picture. The reported outcome, however, does not appear to be
coincidental because Sobel et al. (2004), using large-scale quantitative
British data, and Tichenor (1999), using small-scale qualitative American data, also report patterns of influence consistent with the male status
violation thesis.
Regarding the value mothers place on a child’s conformity to external authority, the evidence suggests that happily married mothers adjusted more strongly to their spouse’s position than did unhappily
married mothers. In the reverse circumstances, where mothers reported
being unhappily married, it appeared that independency between
spouses exists regarding the child-rearing value conformity to external
authority.
Although these outcomes are consistent with the “marriage gradient”
(Peplau, 1983) and the “status violation” thesis (Brines, 1994), the
causal link between the mother’s marital unhappiness and the occurrence of independence between spouses with regard to child-rearing
values is by no means clear. Nevertheless, it may be hypothesized that
independency between spouses regarding childrearing values (and perhaps a variety of values and behaviors as well), and particularly when
associated with an unhappy marriage, is a gateway to a potential divorce. Yet another “solution” remains possible, however, particularly in
the case where intense marital discord exists. Van der Slik et al. (2002),
for example, have found that, among Dutch parents who experience intense marital discord, the mother often gives in and accommodates almost completely to her spouse’s child-rearing values. Why such an
Frans W. P. Van der Slik and Geert W. J. M. Driessen
117
accommodation among Dutch mothers takes place is unclear, though
one possibility might be that they try to protect both their children and
the marital relationship.
The outcome of spousal interdependency found in this study is inconsistent with the findings of other American studies, past or present. Earlier American studies have found support for male dominance in regard
to child rearing (e.g., Maccoby, 1961), while more recent work has documented patterns of independence between spouses, at least for
dual-earner couples (Spade, 1991). Unlike these earlier studies, this
study has made use of a large-scale longitudinal database that is representative of English-speaking American individuals who are married
and English-speaking. Such a sampling advantage means that greater
confidence can be placed on the validity of the results obtained in the
present study than some of the previous work. In short, mutual dependency within couples as regards their child-rearing values was not
moderated by the effects of age, divorce, period, or cohort experiences.
Given the major social changes that American society faced during
the 1970s and 1980s, the rejection of the “birth cohort,” “period,” and
“divorced” hypotheses in particular, is an important finding. Of particular prominence, for example, are results indicating that recent improvements in women’s social position as well as trends toward increased
individualism (Thornton & Young-DeMarco, 2001), have failed to impact on the balance of power between husband and wife in regard to
child rearing values. Moreover, no effect was found for having been divorced, a counter-intuitive finding that should be explored further for
replication with a more current data base, particularly because more
than half of today’s U.S. children have experienced a divorce.
A potential drawback of the present study might be that the outcomes
are the result of partner selection before marriage (Tynes, 1990; Sutton,
1993). However, assuming that there are countless criteria for mate selection, it seems rather unlikely that researchers would find some kind
of systematic link between partner’s education and their ideas about
raising children, who have not yet been born (Van Berkel & De Graaf,
1995). Even in the hypothetical case that partners do choose each other
on the base of their child-rearing values, this still would mean that
something like male dominance exists (Van der Slik et al., 2002). Another shortcoming, perhaps, might be that so few of our hypotheses
were supported by the data. In our view, however, a major task of social
sciences is to explode myths. In doing so, refuting research hypotheses
is equally valuable as finding support for them.
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This study has contributed to family research on patterns of influence
in another way. The finding of spousal interdependency with regard to
child-rearing values implies that the outcome of male dominance for
voting behavior and class identification can now be considered as domain-specific (e.g., Van Berkel, 1997). Future research is needed that
explores the differences among various aspects of family life more systematically. The relevant questions are now, which domains show male
dominance, which are of equal concern to both spouses, and finally,
which display female dominance? Diagonal reference modeling, the
technique we applied in this study, proved to be a helpful tool to study
such dominance patterns.
NOTES
1. In more recent GSS surveys, instead of the Kohn-items, phrasings adopted from
Lenski (1961) have been used to measure the parental value preferences for a child’s
conformity versus autonomy. This change in operationalization severely complicates
the inclusion of more recent GSS samples.
2. One might like to consider income differences between spouses as well, because
resource theory would predict that money yields power within the family. A study by
Spade (1991), however, using data of American dual-earner couples, reported no significant effects of spouse’s income on the value placed on a child’s conformity. Unfortunately, within the GSS surveys selected, no exact information is tractable on a
respondent’s as well as his/her spouse’s income.
3. As compared to the entire population in the 1970s and 1980s, the average married
American parent was more likely to be either older than 25 years or younger than 70
2
2
years (χ = 710.99; df = 13; p < .001), to be male (χ = 28.27; df = 1; p < .001), to have a
2
2
higher income (χ = 425.78; df = 11; p < .001), to have attended junior college (χ =
2
45.29; df = 4; p < .001), to have experienced divorce (χ = 377.33; df = 1; p < .001), and
2
to have been interviewed in the 1980s (χ = 23.50; df = 1; p < .001). As regards employment no significant differences were found. Given that unmarried childless persons are
more likely to be either younger or older, that divorced females are less likely to remarry than divorced males, the observed differences are not unexpected.
4. A number of respondents have ranked just one of the child qualities. Lower educated persons tend to have more missings than higher educated (Krosnick & Alwin,
1987).
5. A number of people have more years of schooling than just High School; yet do
not possess a higher degree. These persons, as well as those who graduated from Associate/junior College, were coded as having educational level (3).
6. No information is available about spouse’s age. Therefore, spousal differences in
age could not be used as an explanation for asymmetric effects.
7. School enrollment rates of males and females (aged 18 and 19 years) have been
published by the US Bureau of the Census (1998) for the years 1947 to 1996. No data
are available for respondents older than 18 years of age in 1947. We imputed for these
respondents the difference between enrollment rates as measured in 1947.
Frans W. P. Van der Slik and Geert W. J. M. Driessen
119
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