Sample heterogeneity and the measurement structure of the multidimensional students' life satisfaction scale

Social Indicators Research

Volumn 94, Issue 2, 2009, Pages 273-296

  Sawatzky, Richard ^a   Ratner, Pamela A ^b   Johnson, Joy L ^b   Kopec, Jacek A ^b   Zumbo, Bruno D ^b  

^a TRINITY WESTERN UNIVERSITY   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Adolescence; Factor mixture analysis; Measurement; Quality of life; Validity

Indexed keywords

ADOLESCENCE; FACTOR ANALYSIS; HETEROGENEITY; QUALITY OF LIFE; STUDENT;

BRITISH COLUMBIA; CANADA; NORTH AMERICA;

EID: 70349736226     PISSN: 03038300     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11205-008-9423-4     Document Type: Article

References (82)

1. Allison, P. D. (2002). Missing data. Thousand Oaks, CA: Sage.
2. Bandalos, D. L. (2002). The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling, 9, 78-102.
3. Barnette, J. J. (2000). Effects of stem and Likert response option reversals on survey internal consistency: If you feel the need, there is a better alternative to using those negatively worded stems. Educational and Psychological Measurement, 60, 361-370.
4. Beauducel, A., & Herzberg, P. Y. (2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling, 13, 186-203.
5. Borgers, N., Hox, J., & Sikkel, D. (2004). Response effects in surveys on children and adolescents: The effect of number of response options, negative wording, and neutral mid-point. Quality & Quantity, 38, 17-33.
6. Bradford, R., Rutherford, D. L., & John, A. (2002). Quality of life in young people: Ratings and factor structure of the Quality of Life Profile-Adolescent Version. Journal of Adolescence, 25, 261-274.
7. Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum.
8. Campbell, A., Converse, P., & Rodgers, W. L. (1976). The quality of American life. New York: Sage.
9. Cohen, A. S., & Bolt, D. M. (2005). A mixture model analysis of differential item functioning. Journal of Educational Measurement, 42, 133-148.
10. Dannerbeck, A., Casas, F., Sadurni, M., & Coenders, G. (Eds.). (2004). Quality-of-life research on children and adolescents (Vol. 23). Dordrecht: Kluwer.
11. De Ayala, R. J., Seock, H., Stapleton, L. M., & Dayton, C. M. (2002). Differential item functioning: A mixture distribution conceptualization. International Journal of Testing, 2, 243.
12. Drennan, J. (2003). Cognitive interviewing: Verbal data in the design and pretesting of questionnaires. Journal of Advanced Nursing, 42, 57-63.
13. Drotar, D. (Ed.). (1998). Measuring health-related quality of life in children and adolescents: Implications for research and practice. Mahwah, NJ: Lawrence Erlbaum.
14. Edwards, J. R., & Bagozzi, R. P. (2000). On the nature and direction of relationships between constructs and measures. Psychological Methods, 5, 155-174.
15. Edwards, T. C., Huebner, C. E., Connell, F. A., & Patrick, D. L. (2002). Adolescent quality of life, part I: Conceptual and measurement model. Journal of Adolescence, 25, 275-286.
16. Edwards, T. C., Patrick, D. L., & Topolski, T. D. (2003). Quality of life of adolescents with perceived disabilities. Journal of Pediatric Psychology, 28, 233-241.
17. Enders, C. K. (2006). Analyzing structural equation models with missing data. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 313-342). Greenwich: Information Age Publishing.
18. Fayers, P., & Machin, D. (2007). Quality of life: The assessment, analysis and interpretation of patient-reported outcomes. Chichester, West Sussex: Wiley.
19. Finney, S. J., & DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269-314). Greenwich: Information Age Publishing.
20. Fletcher, R., & Hattie, J. (2005). Gender differences in physical self-concept: A multidimensional differential item functioning analysis. Educational and Psychological Measurement, 65, 657-667.
21. Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466-491.
22. Gilman, R. (1999). Validation of the Multidimensional Students' Life Satisfaction Scale with adolescents. Dissertation Abstracts International, 60(04), 1901B.
23. Gilman, R., & Ashby, J. S. (2003). A first study of perfectionism and multidimensional life satisfaction among adolescents. Journal of Early Adolescence, 23, 218-235.
24. Gilman, R., Huebner, E. S., & Laughlin, J. E. (2000). A first study of the Multidimensional Students' Life Satisfaction Scale with adolescents. Social Indicators Research, 52, 135-160.
25. Greenspoon, P. J., & Saklofske, D. H. (1997). Validity and reliability of the Multidimensional Students' Life Satisfaction Scale with Canadian children. Journal of Psychoeducational Assessment, 15, 138-155.
26. Greenspoon, P. J., & Saklofske, D. H. (1998). Confirmatory factor analysis of the Multidimensional Students' Life Satisfaction Scale. Personality and Individual Differences, 25, 965-971.
27. Hagenaars, J. A., & McCutcheon, A. L. (2002). Applied latent class analysis. Cambridge, NY: Cambridge University Press.
28. Harter, S. (1999). The construction of the self: A developmental perspective. New York: Guilford.
29. Hinds, P. S., & Haase, J. (2003). Quality of life in children and adolescents with cancer. In C. R. King & P. S. Hinds (Eds.), Quality of life from nursing and patient perspectives: Theory, research, practice (2nd ed., pp. 143-168). Sudbury, MA: Jones and Bartlett.
30. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
31. Huebner, E. S. (1994). Preliminary development and validation of a multidimensional life satisfaction scale for children. Psychological Assessment, 6, 149-158.
32. Huebner, E. S. (1997). Life satisfaction and happiness. In G. Bear, K. Minke, & A. Thomas (Eds.), Children's needs-II (pp. 271-278). Silver Springs, MD: National Association of School Psychologists.
33. Huebner, E. S. (2001). Manual for the Multidimensional Students' Life Satisfaction Scale. Retrieved June 29, 2007, from http://www.cas.sc.edu/ psyc/pdfdocs/huebslssmanual.doc.
34. Huebner, E. S., & Gilman, R. (2002). An introduction to the Multidimensional Students' Life Satisfaction Scale. Social Indicators Research, 60, 115-122.
35. Huebner, E. S., Laughlin, J. E., Ash, C., & Gilman, R. (1998). Further validation of the Multidimensional Students' Life Satisfaction Scale. Journal of Psychoeducational Assessment, 16, 118-134.
36. Huebner, E. S., Nagle, R. J., & Suldo, S. (2003). Quality of life assessment in child and adolescent health care: The Multidimensional Students' Life Satisfaction Scale (MSLSS). Social Indicators Research Series: Advances in Quality-of-Life Theory and Research, 20, 179-189.
37. Huebner, E. S., Valois, R. F., Suldo, S. M., Smith, L. C., McKnight, C. G., Seligson, J. L., et al. (2004). Perceived quality of life: A neglected component of adolescent health assessment and intervention. Journal of Adolescent Health, 34, 270-278.
38. Jöreskog, K. G. (1990). New developments in LISREL: Analysis of ordinal variables using polychoric correlations and weighted least squares. Quality & Quantity, 24, 387.
39. Jöreskog, K. G., & Moustaki, I. (2001). Factor analysis of ordinal variables: A comparison of three approaches. Multivariate Behavioral Research, 36, 347-387.
40. Kaplan, R. M. (1998). Implication of quality of life assessment in public policy for adolescent health. In D. Drotar (Ed.), Measuring health-related quality of life in children and adolescents (pp. 63-84). Mahwah, NJ: Lawrence Erlbaum.
41. Koot, H. M., & Wallander, J. L. (2001). Quality of life in child and adolescent illness: Concepts, methods and findings. Hove, East Sussex: Brunner-Routledge.
42. Lee, S. J., Song, X., Skevington, S., & Hao, Y. T. (2005). Application of structural equation models to quality of life. Structural Equation Modeling, 12, 435-453.
43. Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9, 151-173.
44. Lubke, G. H., & Muthén, B. (2005). Investigating population heterogeneity with factor mixture models. Psychological Methods, 10, 21-39.
45. Magidson, J., & Vermunt, J. K. (2004). Latent class models. In D. Kaplan (Ed.), The Sage handbook of quantitative methodology for the social sciences (pp. 175-195). Thousand Oaks, CA: Sage.
46. Marsh, H. W. (1986). Negative item bias in ratings scales for preadolescent children: A cognitive-developmental phenomenon. Developmental Psychology, 22, 37-49.
47. Marsh, H. W. (1996). Positive and negative global self-esteem: A substantively meaningful distinction or artifactors? Journal of Personality and Social Psychology, 70, 810-819.
48. Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling, 11, 320-341.
49. McDonald, R. P., & Ho, M. H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7, 64-82.
50. Michalos, A. C. (1985). Multiple discrepancies theory (MDT). Social Indicators Research (Historical Archive), 16, 347-413.
51. Millsap, R. E., & Yun-Tein, J. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39, 479.
52. Moors, G. (2003). Diagnosing response style behavior by means of a latent-class factor approach. Socio-demographic correlates of gender role attitudes and perceptions of ethnic discrimination reexamined. Quality & Quantity, 37, 277-302.
53. Muthén, B., & Muthén, L. K. (2006). MPlus (version 4.2). Los Angeles: Statmodel.
54. Nasser, F. (2003). The effect of using item parcels on ad hoc goodness-of-fit indexes in confirmatory factor analysis: An example using Sarason's reactions to tests. Applied Measurement in Education, 16, 75-97.
55. Nordenfelt, L. (1993). Quality of life, health and happiness. Aldershot: Avebury.
56. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
57. Nylund, K. L., Asparouhov, T., & Muthén, B. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14, 535-569.
58. Park, N. S. (2000). Life satisfaction of school age children: Cross-cultural and cross-developmental comparisons. Dissertation Abstracts International, 62(02), 1118B.
59. Park, N. S., Huebner, E. S., Laughlin, J. E., Valois, R. F., & Gilman, R. (2004). A cross-cultural comparison of the dimensions of child and adolescent life satisfaction reports. Social Indicators Research, 66, 61-79.
60. Raphael, D. (1996). Determinants of health of North-American adolescents: Evolving definitions, recent findings, and proposed research agenda. Journal of Adolescent Health, 19, 6-16.
61. Raphael, D., Brown, I., Rukholm, E., & Hill-Bailey, P. (1996). Adolescent health: Moving from prevention to promotion through a quality of life approach. Canadian Journal of Public Health, 87, 81-83.
62. Rapley, M. (2003). Quality of life research: A critical introduction. Thousand Oaks, CA: Sage.
63. Richardson, C. G., Johnson, J. L., Ratner, P. A., Zumbo, B. D., Bottorff, J. L., Shoveller, J. A., et al. (2007). Validation of the dimensions of tobacco dependence scale for adolescents. Addictive Behaviors, 32(7), 1498-1504.
64. Rigdon, E. E., & Ferguson, C. E., Jr. (1991). The performance of the polychoric correlation coefficient and selected fitting functions in confirmatory factor analysis with ordinal data. Journal of Marketing Research, 28, 491-497.
65. Rosenberg, M. (1989). Society and the adolescent self-image (Rev. ed.). Middletown, CT: Wesleyan University Press.
66. Samuelsen, K. M. (2008). Examining differential item functioning from a latent mixture perspective. In G. R. Hancock & K. M. Samuelsen (Eds.), Latent variable mixture models (pp. 177-198). Charlotte, NC: Information Age Publishing.
67. SAS Institute. (2005). Statistical analysis software (version 9.2). Cary, NC: SAS Institute.
68. Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.
69. Spieth, L. E., & Harris, C. V. (1996). Assessment of health-related quality of life in children and adolescents: An integrative review. Journal of Pediatric Psychology, 21, 175-193.
70. Steenkamp, J., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research, 25, 78-90.
71. Tomas, J. M., & Oliver, A. (1999). Rosenberg's Self-Esteem Scale: Two factors or method effects. Structural Equation Modeling, 6, 84.
72. Topolski, T. D., Edwards, T. C., & Patrick, D. L. (2004). Toward youth self-report of health and quality of life in population monitoring. Ambulatory Pediatrics, 4, 387-394.
73. Topolski, T. D., Patrick, D. L., Edwards, T. C., Huebner, C. E., Connell, F. A., & Mount, K. K. (2001). Quality of life and health-risk behaviors among adolescents. Journal of Adolescent Health, 29, 426-435.
74. Tu, A. W., Ratner, P. A., & Johnson, J. L. (2008). Gender differences in the correlates of adolescents' cannabis use. Substance Use and Misuse, 43, 1438-1463.
75. Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4-69.
76. Veenhoven, R. (2000). The four qualities of life. Journal of Happiness Studies, 1, 1-39.
77. Viswanathan, M. (2005). Measurement error and research design. Thousand Oaks, CA: Sage.
78. Wallander, J. L., Schmitt, M., & Koot, H. M. (2001). Quality of life measurement in children and adolescents: Issues, instruments, and applications. Journal of Clinical Psychology, 57, 571-585.
79. Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Dissertation Abstracts International, 63(10), 3527B.
80. Zumbo, B. D. (2007a). Validity: Foundational issues and statistical methodology. In C. R. Rao & S. Sinharay (Eds.), Handbook of statistics (Psychometrics) (Vol. 26, pp. 45-79). Amsterdam: Elsevier.
81. Zumbo, B. D. (2007b). Three generations of DIF analyses: Considering where it has been, where it is now, and where it is going. Language Assessment Quarterly, 4(2), 223-233.
82. Zumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal of Modern Applied Statistical Methods, 6, 21-29.