particular, in etic studies) the dominant approach has been to equate nations with cul-
tures, and thus to study culture by comparing samples from different countries. However,
national boundaries often do not encompass homogenous societies with a shared culture.
Examples are Canada, which has an English- and a French-speaking population with dif-
ferent cultural features; Belgium, with a Flemish- and French-speaking population with
different cultural traits; Germany, with cultural differences between the different states
(Bundesländer), and so on. Moreover, the nation-state is essentially a western invention;
elsewhere (e.g. in Africa) the nation-state is relatively young and hardly corresponds to
any sense of cultural homogeneity or identity. It is argued, however, that in nations that
have existed for some time there are strong forces towards integration (Hofstede, 1991:
12). There is usually a single dominant language, educational system, army, political
system, shared mass media, markets, services and national symbols (e.g. flag, sports
teams). These can produce substantial sharing of basic values among residents of a
nation. This is less the case, of course, in nations with sharp divisions between ethnic
groups. Most etic research, however, concentrates on the more homogenous societies,
avoiding this problem but posing limits on the generalizability of the framework. Emic
research, in contrast, has always had a tendency to focus on cultural groups that are not
defined by national boundaries, like the indigenous peoples of North America, or the Nuer
people of the southern Sudan.
To be able to make valid comparisons, research should be based either on representa-
tive samples or on more narrow, but carefully ‘matched’, samples. In order to be
representative, a sample should cover (in the right proportions) all the relevant subgroups
or categories of people in a society, also taking into account age, gender and occupation.
As a result this strategy calls for large samples. The national samples used in the
1999/2000 European Values Survey, for instance, vary between 967 and 2500 respon-
dents. As for the strategy of matched samples, depending on the nature of the
characteristics scholars want to compare, they can compose matched samples of individ-
uals, situations, institutions (such as families) or organizations. An example of the last of
these is a study about hierarchy conducted by Tannenbaum et al. (1974) that covered ten
industrial companies, matched for size and product, in each of five countries. When com-
paring cultural aspect of nations, one should try to match for categories such as
educational level, socio-economic status, occupation, gender and age group. In addition,
there may also be linguistic, regional, tribal, ethnic, religious or caste divisions within
nations. We can compare Spanish nurses with Swedish nurses, or Spanish policemen
with Swedish policemen; in the case of such narrow samples, however, we have to be
careful in interpreting the differences and similarities found. For instance, if differences
are found in the values espoused by military personnel in different countries (Soeters and
Recht, 1998) this can reflect value differences between these countries in general, but
before drawing any conclusion we will have to ascertain whether these institutions are
functionally equivalent in the nations concerned. If one of the countries has a conscrip-
tion system and another country a regular (professional) army, there may be a
self-selection bias in the second sample that makes it incomparable with the first. A more
solid research strategy, if we have to use narrow samples, is to take several samples from
different parts of society. With a fourfold sample of Spanish and Swedish nurses and
Spanish and Swedish policemen, we can test not only the nationality effect but also the
occupation effect (nurses versus policemen) and the possible interaction between the two,
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