Self‐Construal Scales Lack Validity

Self‐construal is thought to mediate and explain the effects of culture on a wide variety of outcome variables. A meta‐analysis of published cross‐cultural self‐construal research is reported in this article, and the results across studies suggests that the evidence for the predicted cultural differences is weak, inconsistent, or nonexistent. The results of 3 priming experiments (N = 121, N = 99, and N = 361) suggest that (a) priming does not account for the inconsistent results observed in the meta‐analysis, (b) that scores on a self‐construal scale appear to be measuring trait‐like constructs that are not sensitive to priming, and (c) that measures of self‐construals lack convergent validity. The results of several measurement studies (N = 121, 223, 230, 323, 214, 206, 126, 204, 148, 141, and 150) were inconsistent with the a priori two‐factor measurement model in every case. Self‐construal scales were found to be radically multidimensional and highly unstable within and across cultures. These results lead us to conclude that catastrophic validity problems exist in research involving the use of self‐construal scales in cross‐cultural research.     

The (In)validity of Self‐Construal Scales Revisited

This paper offers a critical rejoinder in the discussion concerning the viability of self‐construal scales. It is our contention that the existing data reported in our previous article (Levine et al., 2003) and elsewhere are more than sufficient to justify the conclusion that self‐report scales purporting to measure interdependent and independent self‐construals as 2 orthogonal constructs lack validity. The arguments to the contrary offered by Gudykunst and Lee (2003) and Kim and Raja (2003) are disputed. Additional data (N = 1,013) show that neither age, occupation, sample size, standardization, nor a 2nd‐order structure can account for the problems we documented previously. Although we see potential utility in the self‐construal construct, we believe that the 3 primary scales fail to meet reasonable and accepted social scientific standards. Difficult conceptual problems will need to be solved prior to the development of new and improved measures.