Abstract
Abstract. Studies on the construct validity of the Self-Description Questionnaire II (SDQII) have not compared the factor structure between the English and Chinese versions of the SDQII. By using rigorous multiple group comparison procedures based upon confirmatory factor analysis (CFA) of measurement invariance, the present study examined the responses of Australian high school students (N = 302) and Chinese high school students (N = 322) using the English and Chinese versions of the SDQII, respectively. CFA provided strong evidence that the factor structure (factor loading and item intercept) of the Chinese version of the SDQII in comparison to responses to the English version of the SDQII is invariant, therefore it allows researchers to confidently utilize both the English and Chinese versions of the SDQII with Chinese and Australian samples separately and cross-culturally.
References
(2001).
Correlates of achievement in the United Arab Emirates: A sociocultural study . In D. M. McInerneyS. Van EttenEds., Research on sociocultural influences on motivation and learning (Vol. 1, pp. 205–230). Greenwich, CT: Information Age.(2003). Learners for life: Student approaches to learning. Results from PISA 2000. Paris, France: OECD.
(2002).
Cultural-cognitive issues in academic achievement: New directions for cross-national research . In A. C. PorterA. GamoranEds., Methodological advances in cross-national surveys of educational achievement (pp. 117–149). Washington, DC: National Academic Press.(1990). Comparative fit indices in structural models. Psychological Bulletin, 107, 238–246.
(1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606.
(2010). Factorial invariance testing and latent mean differences for the Self-Description Questionnaire II (short version) with indigenous and non-indigenous Australian secondary school students. International Journal of Testing, 9, 47–79. doi: 10.1080/15305050903352065
(1994). Self-Description Questionnaire II: A review. Test Critiques, 10, 632–643.
(1993).
Alternative ways of assessing model fit . In K. A. BollenJ. S. LongEds., Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.(2012). Principles and practice of scaled difference chi-square testing. Structural Equation Modeling, 19, 372–398.
(1984). The general/academic self-concept nomological network: A review of construct validation research. Review of Educational Research, 54, 427–456.
(1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Erlbaum.
(2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming. New York, NY: Routledge Academic.
(2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14, 464–504. doi: 10.1080/10705510701301834
(2008). An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models. Sociological Methods & Research, 36, 462–494. doi: 10.1177/0049124108314720
(2001). The effects of model parsimony and sampling error on the fit of structural equation models. Organizational Research Methods, 4, 236–264. doi: 10.1177/109442810143004
(2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255. doi: 10.1207/S15328007SEM0902_5
(1982). The perceived competence scale for children. Child Development, 53, 87–97.
(1992). Self-concept. Hillsdale, NJ: Erlbaum.
(1999). Is there a universal need for positive self-regard? Psychological Review, 106, 766–794.
(1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
(1993). LISREL 8: Structural equation modeling with the SIMPLIS command language [Computer software]. Chicago, IL: Scientific Software International.
(2003). LISREL 8.54 [Computer software]. Chicago, IL: Scientific Software International.
(2006). Self-concept in Mexican American girls and boys: Validating the Self-Description Questionnaire-I. Cultural Diversity & Ethnic Minority Psychology, 11, 321–338. doi: 10.1037/1099-9809.11.4.321
(2005). Principles and practices of structural equation modeling. New York, NY: Guilford.
(2000). Chinese students’ self-concept: Structure, frame of reference, and relation with academic achievement. Dissertation Abstracts International Section A: Humanities & Social Sciences, 61, 880
(2003). Why is self-enhancement low in certain collectivist cultures? An investigation of two competing explanations. Journal of Cross-Cultural Psychology, 34, 496–510. doi: 10.1177/0022022103256474
(2006). A reliability generalization study of the Self-Description Questionnaire. Educational and Psychological Measurement, 66, 285–304.
(2011).
Methodological issues in using structural equation models for testing differential item functioning . In E. DavidovP. SchmittJ. BillietEds., Cross-cultural analysis: Methods and applications (Vol. 1, pp. 55–85). New York, NY: Routledge. doi: 10.1109/TSC.2008.18(2013). Domain specificity between peer support and self-concept. Journal of Early Adolescence, 33, 227–244.
(2014). Validity of social, moral and emotional facets of Self Description Questionnaire II. Journal of Experimental Education, . doi: 10.1080/00220973.2013.876229
(2006). Rethinking culture and self-construal: China as a middle land. Journal of Social Psychology, 146, 591–610.
(1990a). A multidimensional, hierarchical self-concept: Theoretical and empirical justification. Educational Psychology Review. 2, 77–172.
(1990b). Self-Description Questionnaire (SDQ) I: A theoretical and empirical basis for the measurement of multiple dimensions of preadolescent self-concept: A test manual and a research monograph. Sydney, Australia: University of Western Sydney.
(1990c). The structure of academic self-concept: The Marsh/Shavelson model. Journal of Educational Psychology. 82, 623–636.
(1992a). Self-Description Questionnaire (SDQ) II: Manual. Sydney, Australia: University of Western Sydney. (Original Work published 1990)
(1992b). Self-Description Questionnaire (SDQ) III: A theoretical and empirical basis for the measurement of multiple dimensions of late adolescent self-concept: A test manual and a research monograph. Sydney, Australia: University of Western Sydney.
(1992c). The content specificity of relations between academic achievement and academic self-concept. Journal of Educational Psychology. 84, 35–42.
(1993). Academic self-concept: Theory measurement and research. In J. Suls (Ed.), Psychological perspectives on the self, (Vol. 4, pp. 59–98). Hillsdale, NJ: Erlbaum, .
(1994). Using the National Longitudinal Study of 1988 to evaluate theoretical models of self-concept: The Self-Description Questionnaire. Journal of Educational Psychology, 80, 439–456.
(2013). Factorial, convergent, and discriminant validity of TIMSS math and science motivation measures: A comparison of Arab and Anglo-Saxon countries. Journal of Educational Psychology, 105, 108–128. doi: 10.1037/a0029907
(1996).
An evaluation of incremental fit indices: A clarification of mathematical and empirical processes . In G. A. MarcoulidesR. E. SchumackerEds., Advanced structural equation modeling techniques (pp. 315–353). Hillsdale, NJ: Erlbaum.(1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103, 391–410.
(1985). Self-other agreement on multidimensional self-concept ratings: Factor analysis and multitrait-multimethod analysis. Journal of Personality and Social Psychology, 49, 1360–1377.
(1988). A multifaceted academic self-concept: Its hierarchical structure and its relation to academic achievement. Journal of Educational Psychology, 80, 366–380.
(1991). Self-other agreement on multiple dimensions of preadolescent self-concept: Inferences by teachers, mothers, and fathers. Journal of Educational Psychology, 83, 393–404.
(1997).
Academic self-concept: Beyond the dustbowl . In G. PhyeEd., Handbook of classroom assessment: Learning, achievement, and adjustment (pp. 131–198). Orlando, FL: Academic Press.(2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1, 133–163.
(1991). Self-concepts of young children 5 to 8 years of age: Measurement and multidimensional structure. Journal of Educational Psychology, 83, 377–392.
(2002). How do preschool children feel about themselves? Unraveling measurement and multidimensional self-concept structure. Developmental Psychology, 38, 376–393.
(2005). A short version of the Self Description Questionnaire II: Operationalizing criteria for short-form evaluation with new applications of confirmatory factor analyses. Psychological Assessment, 17, 81–102.
(2006). OECD’s Brief Self-Report Measure of Educational Psychology’s most useful affective constructs: Cross-Cultural, Psychometric Comparisons across 25 countries. International Journal of Testing, 6, 311–360. doi: 10.1207/s15327574ijt0604_1
(2000). Longitudinal multilevel models of the big-fish-little-pond effect on academic self-concept: Counterbalancing contrast and reflected-glory effects in Hong Kong schools. Journal of Personality and Social Psychology, 78, 337–349.
(2009). Exploratory Structural Equation Modeling, integrating CFA and EFA: Application to students’ evaluations of university teaching. Structural Equation Modeling, 16, 439–476.
(2008). Reciprocal effects between academic self-concept, self-esteem, achievement, and attainment over seven adolescent years: Unidimensional and multidimensional perspectives of self-concept. Journal of Personality and Social Psychology, 34, 542–552. doi: 10.1177/0146167207312313
(2004). A multidimensional perspective of relations between self-concept (Self Description Questionnaire II) and adolescent mental health (Youth Self Report). Psychological Assessment, 16, 27–41.
(2004).
In the looking glass: A reciprocal effects model elucidating the complex nature of bullying, psychological determinants and the central role of self-concept . In C. S. SandersG. D. PhyeEds., Bullying: Implications for the classroom (pp. 63–106). Orlando, FL: Academic Press.(1985). Multidimensional adolescent self-concepts: Their relationship to age, sex and academic measures. American Educational Research Journal, 22, 422–444.
(2001). The Self-Description Questionnaire II and gifted students: Another look at Plucker, Taylor, Callahan, and Tomchin’s (1997) “Mirror, mirror on the wall”. Educational and Psychological Measurement, 61, 976–996.
(1985). Self-concept: Its multifaceted, hierarchical structure. Educational Psychologist, 20, 107–125.
(1985). Multidimensional self-concepts: Relations with sex and academic achievement. Journal of Educational Psychology, 77, 581–596.
(1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525–543.
(1988). Scaling corrections for chi-square statistics in covariance structure analysis. ASA 1988 Proceedings of Business and Economic Statistics, Section (308–313). Alexandria, VA: American Statistics Association.
(1994).
Corrections to test statistics and standard errors in covariance structure analysis . In A. von EyeC. C. ClogEds., Latent variables analysis: Applications for developmental research (pp. 399–419). Thousand Oaks, CA: Sage.(2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507–514.
(2010). Ensuring positiveness of the scaled difference chi-square test statistic. Psychometrika, 75, 243–248.
(1976). Validation of construct interpretations. Review of Educational Research, 46, 407–441.
(1986).
On the structure of self-concept . In R. SchwazerEd., Anxiety and cognitions (pp. 305–330). Hillsdale, NJ: Erlbaum.(2000). The relationship between students’ achievement and their self-perception of competence and rigour of mathematics and science: A cross-national analysis. Assessment in Education, 7, 237–253.
(2006).
The paradoxical relationship between students’ achievement and their self-perceptions: A cross-national analysis based on three waves of TIMSS data . In H. WagemakerEd., The Second IEA International Research Conference: Proceedings of the IRC-2006, Vol. 1: Trends in International Mathematics and Science Study (TIMSS) (pp. 43–60). Amsterdam, The Netherlands: International Association for the Evaluation of Educational Achievement.(1985). The self-perception of competence by Chinese children. Child Development, 56, 1259–1270.
(1988). Low and high mathematics achievement in Japanese, Chinese, and American elementary-school children. Developmental Psychology, 24, 335–342.
(1997).
Methods and data analysis of comparative research . In J. W. BerryY. H. PoortingaJ. PandeyEds., Handbook of cross-cultural psychology: Theory and method (Vol. 1, pp. 257–300). Needham Heights, MA: Allyn and Bacon.(2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–70.
(2008). Cross validation of a self-concept tool for use with children with cerebral palsy. Journal of Developmental and Physical Disabilities, 20, 561–572. doi: 10.1007/s10882-008-9119-3
(2001). Culture effects on adults’ earliest childhood recollection and self description: Implications for the relation between memory and the self. Journal of Personality and Social Psychology, 81, 220–233.
(1997).
Exploring the measurement invariance of psychological instruments: Applications in the substance use domain . In K. J. BryantM. WindleS. G. WestEds., The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). Washington, DC: American Psychological Association.(1989). Measures of self-concept. Lincoln, NB: University of Nebraska Press.
