PSYCHOLOGICAL SCIENCE
Research Article
VOL. 13, NO. 2, MARCH 2002 Copyright © 2002 American Psychological Society 157
EVOLVED SEX DIFFERENCES IN THE NUMBER OF
PARTNERS DESIRED?
The Long and the Short of It
William C. Pedersen, Lynn Carol Miller, Anila D. Putcha-Bhagavatula, and Yijing Yang
University of Southern California
Abstract—Do men seek more short-term mates than women? Buss
and Schmitt (1993) showed a pattern of mean difference in the ideal
number of sexual partners men and women desired over various time
frames. We replicated these mean sex differences (e.g., ideal number
over the next 30 years: Ms = 7.69 and 2.78 for men and women, re-
spectively), but in both data sets the sampling distributions were
highly skewed. In Study 1, we found few sex differences in medians
across time frames (e.g., ideal number over the next 30 years: Mdn =
1 for both men and women). In Study 2, most college men (98.9%) and
women (99.2%) said they wanted to settle down with one mutually ex-
clusive sexual partner at some point in their life, ideally within the
next 5 years. Neither medians in number of partners desired overall
before settling down (replicating Study 1) nor medians in short-term
partners desired before settling down (Mdn = 0) differed significantly
by gender. Rather, men and women concurred: Short-term mating is
not what humans typically seek.
Do men and women differ in the number of short-term partners
that they seek? Sexual strategies theory (Buss & Schmitt, 1993) argues
that the answer to this question is yes. Buss and Schmitt (1993) argued
that, although men and women should seek both short-term and long-
term relationships, “because of a fundamental asymmetry between the
sexes in minimum levels of parental investment, men devote a larger
proportion of their total mating effort to short-term mating than do
women” (p. 205). According to Buss and Schmitt, one prediction that
stems from this assumption is the following: “For any given period of
time (e.g., a month, a year, a decade, or a lifetime), men will desire a
larger number of mates than will women” (p. 210). This desire for a
large number of (presumably short-term) mates helps solve a problem
that, according to sexual strategies theory, men confront in pursuing
short-term, but not long-term relationships (viz. “the problem of part-
ner number,” p. 207). In fact, Buss and Schmitt reported a mean differ-
ence in the number of partners men (M = 16) versus women (M = 4)
desire in the next 30 years.
Do these findings support the claim that men seek more short-term
mates than do women? Because the question Buss and Schmitt (1993)
posed to their participants did not specify the nature of the relation-
ships men and women seek, this question cannot be answered directly.
Still, the mean number of mates desired is large for men compared
with women (e.g., over the next 30 years: Ms = 16 vs. 4). Therefore,
this pattern might suggest, at least indirectly, that men typically desire
more short-term mates than women.
There are many problems, however, with this inference. Later, we
return to the problem of directly assessing the number of relationships
of each type (e.g., short term, intermediate term, long term) that men
and women desire. First, however, we consider the problem with indi-
rectly inferring differences for men and women in preferences for
short-term mates from mean values of the number of mates desired.
Buss and Schmitt’s (1993) indirect inferences rely heavily on t-test
comparisons of means. This matters both conceptually and statisti-
cally. Buss and Schmitt did not merely argue for sex differences in ex-
pressed behavior, they argued that these are due to fundamental
evolved sex differences in minimal levels of parental investment (e.g.,
pregnancy, labor, and nourishing young vs. mere insemination). The
logic of sexual strategies theory, so tied to nonoverlapping gender dif-
ferences in biological propensities (e.g., to produce sperm or not; to
bear offspring or not), seems consistent with the expectation that cer-
tainly, the typical man and the typical woman would differ in their
sexual strategies.
Moreover, open-ended sexual-preference and behavior data are apt
to be heavily skewed (Rothspan & Read, 1996). As distributions be-
come progressively more skewed, means become increasingly poor
measures of the typical response. In such cases, it “has been argued
that a comparison of medians is more appropriate . . . because medians
generally lie closer to the ‘bulk’ of the data” (Wilcox & Charlin, 1986,
p. 264). Not surprisingly, therefore, researchers who report numbers
of sexual partners routinely use medians (e.g., Davies et al., 1992;
King et al., 1994).
Still, the conventional wisdom has been that even when distribu-
tions are badly skewed or replete with outliers, resulting in means that
are not representative of the “typical” response (Wilcox & Charlin,
1986), the inferences derived from t tests are still accurate (e.g., Bo-
neau, 1960; Box, 1954; Glass, Peckham, & Sanders, 1972). Even if
psychologists once thought this, today’s statisticians certainly dis-
agree, as t tests are sensitive to even moderate violations of the as-
sumptions (e.g., normality and homogeneity of variance) of these tests
(Cliff, 1993; Wilcox, 1992, 1994, 1996). Violations of these assump-
tions can affect both Type I and Type II errors. When assumptions of
the t test are violated, “the actual probability of a Type I error can be
substantially higher or lower than the nominal level” (Wilcox, 1997,
p. 70). Similarly, Tabachnick and Fidell (1996) noted, “Especially
worrisome is that an outlier can produce either a Type I or a Type II er-
ror, with no clue in the analysis as to which is occurring” (p. 381).
Furthermore, nonrobustness and statistical inferences are apt to be-
come more problematic as “skewness or kurtosis of the sampled popu-
lation departs increasingly from its normal-distribution value” (Bradley,
1982, p. 87), rendering t tests inferior to other two-sample (e.g., non-
parametric) tests (Cressie & Whitford, 1986; Neave & Granger, 1968;
Wilcox, 1990). Therefore, medians and inferential tests associated
with them may—for a variety of conceptual and statistical reasons—
provide a better vehicle to examine a hypothesis about evolved, bio-
Address correspondence to Lynn Carol Miller, Annenberg School for Com-
munication, University of Southern California, Los Angeles, CA 90089-0281;
e-mail: Lmiller@rcf.usc.edu.