Abstract
Most people hold beliefs about personality characteristics typical of members of their own and others' cultures. These perceptions of national character may be generalizations from personal experience, stereotypes with a “kernel of truth,” or inaccurate stereotypes. We obtained national character ratings (N = 3,989) from 49 cultures and compared them to the average personality scores of culture members assessed by observer ratings and self-reports. National character ratings were reliable, but did not converge with assessed traits (Mdn r = .04). Perceptions of national character thus appear to be unfounded stereotypes that may serve the function of maintaining a national identity.
Beliefs about distinctive personality characteristics common to members of a culture are referred to as national character (1) or national stereotypes (2-4). National stereotypes include beliefs about social, physical, and mental characteristics, but the present article focuses on personality traits. Several factors are thought to influence these beliefs. They may be generalizations based on observations of the personality traits of individual culture members. They may be inferences based on the national ethos, as revealed in socio-economic conditions, history, customs, myths, legends, and values. They may be shaped by comparisons or contrasts with geographically close or competing cultures. Stereotypes are oversimplified judgments, but if they have some “kernel of truth” (5), national character should reflect the average emotional, interpersonal, experiential, attitudinal, and motivational styles of members of the culture.
There have been surprisingly few attempts to examine the accuracy of national stereotypes (3, 5-7), perhaps because researchers lacked appropriate criteria. However, recent advances in personality psychology and cross-cultural research make it possible to compare perceived national character to aggregate personality data (that is, the means of a sample of assessments of individuals) across a wide range of cultures.
Personality Traits and Aggregate Personality Profiles
National character may be a social construction, but personality traits are rooted in biology. Most personality psychologists today agree that the dimensions of the Five-Factor Model (FFM) of personality—Neuroticism versus Emotional Stability, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness—account for the covariation of most personality traits (8), and behavioral genetics studies (9) have shown that traits from all five factors are strongly heritable. As products (in part) of the human genome, traits are universal: Cross-cultural research suggests that the structure and development of personality traits is very similar in nations as dissimilar as India, Argentina, and Burkina Faso (10). In every culture examined, the five factors are hierarchically related to lower-order traits or facets. For example, the Extraversion factor in the Revised NEO Personality Inventory (NEO-PI-R) (11) is defined by Warmth, Gregariousness, Assertiveness, Activity, Excitement Seeking, and Positive Emotions facets.
Personality traits can be assessed with standardized instruments such as the NEO-PI-R, using either self-reports or observer ratings from knowledgeable informants. The reliability and validity of individual assessments made with the NEO-PI-R are well established (10, 11). Recent cross-cultural data also indicate that aggregate (or mean) NEO-PI-R scores can be validly used to describe cultures as a whole. In a study of self-report data from 36 cultures, culture-level scores were generalizable across age groups and gender, and aggregate scores showed meaningful patterns of convergent and discriminant validity with other culture-level variables such as Individualism-Collectivism (12). Geographically and historically related cultures (such as Germany and Austria or the United States and Canada) showed similar personality profiles (13). Most of these findings were replicated in a subsequent study using observer ratings from 51 cultures (10, 14), and aggregate self-reports were significantly correlated with aggregate observer ratings for most of the 30 NEO-PI-R facets. Assessed aggregate personality scores from these two studies can thus be used in a multimethod evaluation of the accuracy of perceptions of national character.
Accuracy of Stereotypes
There is a substantial literature on the evaluation of the accuracy of stereotypes (3), showing that they may or may not reflect reality. For example, gender stereotypes depicting women as warm and men as assertive are widely held around the world (15). Cross-cultural studies using both self-reports and observer ratings have shown that women in fact score higher on measures of Warmth, whereas men score higher on measures of Assertiveness (10, 16). Assessed gender differences are small, but are largely consistent with gender stereotypes (17, 18), so those views appear to have a basis in the characteristics of individuals.
The available literature provides less support for the accuracy of beliefs about national character. The perceptions of a panel of experts in cross-cultural psychology did not match beyond chance assessed characteristics in a sample of 26 cultures (19). Church and Katigbak (20) identified raters who had lived in both the United States and the Philippines and asked them to compare the typical American with the typical Filipino on traits that paralleled the 30 NEO-PI-R facets. There was considerable consensus among the judges, but their judgments did not correspond to differences observed when mean American self-reports were compared to mean Filipino self-reports. Another study using the NEO-PI-R found no support for popular stereotypes of Northern and Southern Italians (21).
Here we examine whether national character, as described by culture members themselves (the in-group), are consistent with aggregate personality data. Aggregate scores from self-report and observer ratings on the NEO-PI-R provide the criteria, but measurement of perceived national character requires a new instrument.
Measuring National Character
We designed a short questionnaire, the National Character Survey (NCS), to describe the typical member of a culture (22). The NCS consists of 30 bipolar scales with two or three adjectives or phrases at each pole of the scale (see Appendix S1, on-line). For example, the first item asks how likely it is that the typical member of a culture is anxious, nervous, worrying vs. at ease, calm, relaxed. Each 5-point scale taps one of the 30 facets assessed by the NEO-PI-R, with six items for each of the five major dimensions of personality traits. Internal consistency and factor analysis of the NCS items (supporting online material) indicate that the scales have acceptable psychometric properties and successfully define the dimensions of the FFM. To the extent that the FFM is a comprehensive model of personality, the NCS should capture the essential features of national character.
Data were gathered from 49 cultures or subcultures from six continents, using translations into 27 languages from Indo-European, Hamito-Semitic, Sino-Tibetan, Uralic, Malayo-Polynesian, and Altaic families. Most cultures corresponded to nations; however, where subcultures could be identified on the basis of history (e.g., England vs. N. Ireland) or language (e.g., French- vs. German-speaking Switzerland), they were treated as separate samples. In each sample, we asked college students to complete the NCS to describe the typical member of their culture or subculture, and then, as a common basis of comparison, the typical American.
Analyses of the NCS data in the full sample (N = 3,989) and in selected subsamples supported the reliability, generalizability, and validity of the NCS as a measure of perceived national character (supporting online text). Interjudge reliability between single raters showed there is only modest agreement between individual judgments of national character, with coefficients ranging from .09 to .30 (Mdn = .17). This is roughly half the size of typical agreement between two judges on a single person they both know well (23). However, by aggregating the judgments of an average of 81 raters per culture, highly reliable means were obtained, with reliability coefficients ranging from .96 to .97 for the five factors, and from .89 to .97 (Mdn = .94) for the 30 facets. These aggregate values correspond to the shared portion of individuals' perceptions. Men and women provided essentially the same profile of the typical member of their culture: When mean scores for female subsamples were correlated with mean scores for male subsamples matched on culture, correlations for the five factors ranged from .80 to .90 (N = 49; all ps < .001).
Additional analyses comparing NCS profiles across groups used T-scores (M = 50, SD = 10) based on the grand means and standard deviations across all raters and samples for the 30 NCS items. Profile agreement is calculated as the intraclass correlation (ICC) across the 30 facets using the double-entry method (24). Intraclass correlations are similar to Pearson correlations, but are sensitive to both the shapes of the profiles and differences in elevation, and are thus an appropriate metric for assessing profile similarity. With 30 profile elements, ICCs above .57 are significant at p < .001.
Several comparisons suggested that NCS means were robust. In Ethiopia and Italy, samples of adults were used as raters in addition to college students and yielded similar profiles (ICCs = .62 and .90, respectively). In some cultures student data from multiple sites were available, and intraclass correlations between these different sites ranged from .76 to .94 (25). This is illustrated for Canada and the U.S.A. by the dotted lines in Figure 1 (26).
Mean NCS scores for the 49 cultures are available on-line, Table S1; the highest and lowest scoring cultures for each factor are listed in Table 1. It is perhaps not surprising that Australians see themselves as Extraverts, German Swiss believe they are typically high in Conscientiousness, and Canadians describe themselves as Agreeable. But many of the other entries are nations with which most readers are not familiar, and it is difficult to judge the plausibility of these ratings. In any case, individual judgments of national character—including the reader's—have low reliability. The data suggest that aggregate values accurately reflect the way in-group members perceive the personality of the typical member of their culture.
Table 1.
Highest NCS Scores | Lowest NCS Scores | ||
---|---|---|---|
Culture | NEO-PI-R T-Score | Culture | NEO-PI-R T-Score |
Neuroticism | |||
Indonesia | 50.0 | The Philippines | 48.3 |
Nigeria | 47.8 | Canada | 49.5 |
Turkey | 51.4 | New Zealand | 47.9 |
Poland | 50.7 | Australia | 48.6 |
Japan | 50.7 | Burkina Faso | 53.1 |
Extraversion | |||
Puerto Rico | 51.6 | Slovenia | 49.5 |
Australia | 53.8 | Indonesia | 45.4 |
Spain | 50.4 | French Switzerland | 51.0 |
New Zealand | 52.4 | Japan | 49.4 |
Serbia | 49.3 | Estonia | 52.1 |
Openness | |||
Russia | 49.7 | P. R. China | 50.1 |
India | 48.8 | Estonia | 46.8 |
Nigeria | 49.1 | Chile | 51.8 |
Kuwait | 47.6 | Turkey | 48.2 |
Puerto Rico | 49.7 | Japan | 51.2 |
Agreeableness | |||
Burkina Faso | 51.3 | Czech Republic | 54.2 |
India | 51.7 | Lebanon | 46.4 |
Canada | 49.9 | United States | 49.1 |
Botswana | 48.0 | Argentina | 50.6 |
Russia | 50.3 | Hong Kong | 46.9 |
Conscientiousness | |||
German Switzerland | 53.5 | Spain | 51.3 |
Sweden | 45.7a | Turkey | 51.4 |
Germany | 52.3 | Croatia | 50.3 |
Burkina Faso | 49.7 | Chile | 52.2 |
Estonia | 50.0 | Indonesia | 49.6 |
Mdn | 50.0 | 49.6 |
Observer rating data were unavailable for Sweden; self-report data are shown (12).
Comparing National Character and Aggregate Personality Traits
The primary question this study was designed to address is whether these in-group perceptions of national character accurately reflect aggregate judgments of individual personality traits. A first examination of the data shows one respect in which they are clearly different: There is a much greater range of variation across cultures in perceived traits than in assessed traits. For example, the typical German-speaking Swiss is thought to score 28 T-score points higher on Conscientiousness than the typical Indonesian, but the largest difference on observer-rated Conscientiousness between any two cultures was only 8 T-score points. Thus, if national stereotypes are accurate at all, they clearly exaggerate real differences.
We first examined agreement of trait profiles within cultures, correlating NCS facet scores with assessed mean facet values from NEO-PI-R observer ratings (N = 11,479) in 47 cultures (10) and self-reports (N = 25,732) in 30 cultures (12, 22). ICCs between NCS and the NEO-PI-R observer rating profiles ranged from −.57 for England to .40 for Poland (Mdn = .00), and there was a significant positive correlation in only four cultures (New Zealand, Australia, Poland, and Lebanon). Examples of these findings are shown in Figure 1, in which the solid lines, representing mean observer rated NEO-PI-R profiles, deviate markedly from the perceptions of national character, especially with regard to Agreeableness facets. ICCs between NCS and mean NEO-PI-R self-report profiles ranged from −.46 for Russia to .46 for Poland (Mdn = −.02), and only Poland and Japan showed significant positive correlations (see Table S1, on-line). Thus, only for Poland were the observer rating findings replicated. Overall, there is little support for the view that perceptions of national character profiles are accurate in any culture.
However, it is possible that agreement exists for some factors. To determine the degree of agreement for each trait, NCS domain and facets scores were correlated with NEO-PI-R observer rating and self-report across 47 and 30 cultures, respectively. For the five factors, correlations with observer ratings ranged from −.23 to .13, and those with self-reports ranged from −.34 to .30 (Table S2, on-line), indicating that there is no relation between aggregate NEO-PI-R data and the NCS on any of the five major dimensions. (This finding is illustrated in Table 1, where cultures scoring high versus low on the five NCS factors do not differ systematically on mean NEO-PI-R T-scores.) There are eleven significant correlations at the facet level, five of which are negative. The median of the 70 correlations was .04. The only replicated effect is a significant negative correlation with Openness to Feelings: In cultures where people have a sensitive and rich emotional life, they perceive that their typical compatriot is emotionally impoverished. These analyses, too, provide little reason to trust national stereotypes (27).
Discussion
Comparisons across cultures are always challenging, and several factors may have limited the association between NCS and NEO-PI-R profiles, including problems in translation, response biases such as acquiescence (a yea-saying tendency)(29), and the unfamiliarity of respondents in some cultures with the use of rating scales (10). Comparisons would have been more direct if the full NEO-PI-R had been used to assess national character. Yet the mean NCS scores were reliable and generalizable across sites and types of rater and showed the hypothesized factor structure. Future studies might use more representative raters, although student and adult samples gave similar results when both were available.
In the case of gender differences, widely held stereotypes are consistent with—although they may exaggerate—assessed personality differences between men and women (16-18). That kernel-of-truth hypothesis does not appear to apply to national character. Correspondence between perceived national character traits and the average levels of traits of individual members of each culture was found neither within nor across cultures. Perceptions of national character are not generalizations about personality traits based on accumulated observations of the people with whom one lives; instead, they appear to be social constructions that may serve different functions altogether. Correlations of NCS scores with culture-level variables might be informative about these functions. Whatever their origins, stereotypes may be perpetuated by information processing biases in attention/perception, encoding, and integration of information (2, 30). They become cultural phenomena, transmitted through media, hearsay, education, history, and jokes.
But national character also has a much darker side. When stereotypes of national or ethnic groups are unfavorable they can lead to prejudice, discrimination, or persecution, of which history and the world today are full of tragic examples. The classic analysis of stereotypes depicted them as the product of authoritarian (31) or prejudiced personalities (32); more recent approaches have considered them as the result of general cognitive processes (2). Though social scientists have long been skeptical about the accuracy of national stereotypes, the present study offers the best evidence to date that in-group perceptions of national character may be informative about the culture, but they are not descriptive of the people themselves.
Supplementary Material
Acknowledgments
Robert R. McCrae receives royalties from the Revised NEO Personality Inventory. This research was supported in part by the Intramural Research Program of the NIH, National Institute on Aging. Czech participation was supported by Grant 406/01/1507 from the Grant Agency of the Czech Republic and is related to research plan AV AV0Z0250504 of the Institute of Psychology, Academy of Sciences of the Czech Republic. S. Gulgöz's participation was supported by the Turkish Academy of Sciences. Burkinabè and French Swiss participation was supported by a grant from the Swiss National Science Foundation to J. Rossier. The data collection in Hong Kong was supported by RGC Direct Allocation Grants (DAG02/03.HSS14 and DAG03/04.HSS14) awarded to M. Yik. Data collection in Malaysia was supported by UKM Fundamental Research Grant 11JD/015/2003 awarded to Khairul A. Mastor. Portions of these data were presented at 113th Convention of the American Psychological Association, August, 2005, Washington DC. For helpful comments on the manuscript we thank Ype H. Poortinga; for their assistance on this project we thank F. Abal, L. de Almeida, S. Baumann, H. Biggs, D. Bion, A. Butković, C.Y. Carrasquillo, H. W. Carvalho, S. Catty, C.-S. Chan, A. Curbelo, P. Duffill, L. Etcheverry, L. Firpo, J. Gonzalez, A. Gramberg, H. Harrow, H. Imuta, R. Ismail, R. Kamis, S. Kannan N. Messoulam, F. Molina, M. Montarroyos Calegaro, S. Mosquera, J. C. Munene, V. Najzrova, C. Nathanson, D. Padilla, C. N. Scollon, S. B. Sigurdardottir, A. da Silva Bez, M. Takayama, T. W. Teasdale, L. N. Van Heugten, F. Vera, and J. Villamil.
Contributor Information
A. Terracciano, Email: terraccianoa@grc.nia.nih.gov.
R. R. McCrae, Email: mccraej@grc.nia.nih.gov.
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