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Quality & Quantity

, Volume 50, Issue 4, pp 1507–1523 | Cite as

The changing nature of attitude constructs: an application of multiple correspondence analysis on gender role attitudes

  • Alice BarthEmail author
Article

Abstract

Attitude change is frequently measured by comparing respondents’ scores on the same instrument at different points in time. However, there is a variety of methodological challenges in measuring attitude change: when respondents’ handling of the questionnaire or their understanding of the items change, the comparability of constructs is threatened. This paper proposes the investigation of systematic methodological variation over time by multiple correspondence analysis. Visualizing respondents’ ‘cognitive maps’ facilitates the exploration of both changes in the underlying structure of attitude constructs—that is, changes in meaning—as well as data quality. The approach is illustrated with the analysis of two item batteries on gender role attitude from the BHPS and the BSA from the beginning of the 1990s to the mid-2000s. Both data sets exhibit similar structural changes - more methodological variation and increasing complexity of the attitude construct. The comparison of latent structures over time provides useful information about the nature of change in social constructs.

Keywords

Multiple correspondence analysis Attitude change Measurement equivalence Gender role attitude BHPS BSA 

References

  1. Alwin, D.F., Scott, J.: Attitude change: its measurement and interpretation using longitudinal surveys. In: Taylor, B., Thomson, K. (eds.) Understanding Change in Social Attitudes, pp. 75–106. Aldershot, Dartmouth (1996)Google Scholar
  2. Andrews, F.M., Herzog, R.A.: The quality of survey data as related to age of respondent. J. Am. Stat. Assoc. 81(394), 403–410 (1986)CrossRefGoogle Scholar
  3. Bardi, A., Goodwin, R.: The dual route to value change: individual processes and cultural moderators. J. Cross Cult. Psychol. 42(2), 271–287 (2011)CrossRefGoogle Scholar
  4. Behr, D., Braun, M., Kaczmirek, L., Bandilla, W.: Testing the validity of gender ideology items by implementing probing questions in web surveys. Field Methods 25(2), 124–141 (2012)CrossRefGoogle Scholar
  5. Berrington, A., Hu, Y., Smith, P.W.F., Sturgis, P.: A graphical chain model for reciprocal relationships between women’s gender role attitudes and labour force participation. J. R. Stat. Soc. 171, 89–108 (2008)Google Scholar
  6. Billiet, J.: Cross-cultural equivalence with structural equation modeling. In: Harkness, J.A., Van de Vijver, F.J.R., Mohler, P. (eds.) Cross-Cultural Survey Methods, pp. 247–265. Wiley, New York (2003)Google Scholar
  7. Blasius, J., Greenacre, M. (eds.): Multiple Correspondence Analysis and Related Methods. Chapman & Hall, London (2006)Google Scholar
  8. Blasius, J., Thiessen, V.: Assessing data quality and construct comparability in cross-national surveys. Eur. Sociol. Rev. 22(3), 229–242 (2006)CrossRefGoogle Scholar
  9. Blasius, J., Thiessen, V.: Assessing the Quality of Survey Data. Sage, London (2012)Google Scholar
  10. Braun, M.: Using egalitarian items to measure men’s and women’s family roles. Sex Roles 59, 644–656 (2008)CrossRefGoogle Scholar
  11. Byrne, B.M., Shavelson, R.J., Muthén, B.: Testing for the equivalence of factor covariance and mean structures: the issue of partial measurement invariance. Psychol. Bull. 105, 456–466 (1989)CrossRefGoogle Scholar
  12. Cantor, D.: A review and summary of studies on panel conditioning. In: Menard, S. (ed.) Handbook of Longitudinal Research, pp. 123–138. Elsevier/Academic Press, Burlington (2008)Google Scholar
  13. Chan, D.: The conceptualization and analysis of change over time: an integrative approach incorporating longitudinal mean and covariance structures analysis (LMACS) and multiple indicator latent growth modeling (MLGM). Organ. Res. Methods 1(4), 412–483 (1998)CrossRefGoogle Scholar
  14. Crompton, R., Brockmann, M., Lyonette, C.: Attitudes, women’s employment and the domestic division of labour: a cross-national analysis in two waves. Work Employ. Soc. 19(2), 213–233 (2005)CrossRefGoogle Scholar
  15. Curtin, R., Presser, S., Singer, E.: Changes in telephone survey nonresponse over the past quarter century. Public Opin. Q. 69(1), 87–98 (2005)CrossRefGoogle Scholar
  16. Davidov, E.: A cross-country and cross-time comparison of the human values measurements with the second round of the European social survey. Surv. Res. Methods 2(1), 33–46 (2008)Google Scholar
  17. Davidov, E.: Nationalism and constructive patriotism: a longitudinal test of comparability in 22 countries with the ISSP. Int. J. Public Opin. Res. 23(1), 88–103 (2011)CrossRefGoogle Scholar
  18. Fernández, E.A., de Rada Igúzquiza, V.D., Lautre, I.G., Calvo, M.I.L.: Face to face and telephone surveys in terms of sampling representativeness: a multidimensional analysis. Qual. Quant. 46, 303–313 (2012)CrossRefGoogle Scholar
  19. Frick, J.R., Goebel, J., Schechtman, E., Wagner, G., Yitzhaki, S.: Using analysis of Gini (ANoGi) for detecting whether two sub-samples represent the same universe: the SOEP experience. Sociol. Methods Res. 34(4), 427–468 (2006)CrossRefGoogle Scholar
  20. Golembiewski, R.T., Billingsley, K., Yeager, S.: Measuring change and persistence in human affairs: types of change generated by OD designs. J. Appl. Behav. Sci. 12, 133–157 (1976)CrossRefGoogle Scholar
  21. Greenacre, M.J.: Theory and Applications of Correspondence Analysis. Academic Press, London (1984)Google Scholar
  22. Greenacre, M.J.: From simple to multiple correspondence analysis. In: Blasius, J., Greenacre, M.J. (eds.) Multiple Correspondence Analysis and Related Methods, pp. 41–76. Chapman & Hall, London (2006)CrossRefGoogle Scholar
  23. Groves, R.M.: Nonresponse rates and nonresponse bias in household surveys. Public Opin. Q. 70(5), 646–675 (2006)CrossRefGoogle Scholar
  24. Horn, J.L., McArdle, J.J.: A practical and theoretical guide to measurement invariance in aging research. Exp. Aging Res. 18(3), 117–144 (1992)CrossRefGoogle Scholar
  25. Kaminska, O., McCutcheon, A.L., Billiet, J.: Satisficing among reluctant respondents in a cross-national context. Public Opin. Q. 74(5), 956–984 (2010)CrossRefGoogle Scholar
  26. Kan, M.Y.: Work orientation and wives’ employment careers. Work Occup. 34(4), 430–462 (2007)CrossRefGoogle Scholar
  27. Kim, J., Gershenson, C., Glaser, P., Smith, T.W.: The polls—trends in surveys on surveys. Public Opin. Q. 75(1), 165–191 (2011)CrossRefGoogle Scholar
  28. Konig, R.P.: Changing social categories in a changing society: studying trends with correspondence analysis. Qual. Quant. 44, 409–425 (2010)CrossRefGoogle Scholar
  29. Krosnick, J.A.: Response strategies for coping with the cognitive demands of attitude measures in surveys. Appl. Cognit. Psychol. 5(3), 213–236 (1991)CrossRefGoogle Scholar
  30. Krosnick, J.A., Narayan, S., Smith, W.R.: Satisficing in surveys: initial evidence. New Dir. Eval. 1996(70), 29–44 (1996)CrossRefGoogle Scholar
  31. Le Roux, B., Rouanet, H.: Geometric Data Analysis—From Correspondence Analysis to Structured Data Analysis. Kluwer Academic Publishers, Dordrecht (2004)Google Scholar
  32. Loosveldt, G., Storms, V.: Measuring public opinions about surveys. Int. J. Public Opin. Res. 20(1), 74–89 (2008)CrossRefGoogle Scholar
  33. Lugtig, P., Boeije, H.R., Lensvelt-Mulders, G.J.L.M.: Change? What change? An exploration of the use of mixed-methods research to understand longitudinal measurement variance. Methodology 8(3), 115–123 (2012)CrossRefGoogle Scholar
  34. Maurer, T.J., Raju, N.S., Collins, W.C.: Peer and subordinate performance appraisal measurement equivalence. J. Appl. Psychol. 83(5), 693–702 (1998)CrossRefGoogle Scholar
  35. Meade, A.W., Lautenschlager, G.J.J., Hecht, J.E.: Establishing measurement equivalence and invariance in longitudinal data with item response theory. Int. J. Test. 5(3), 279–300 (2005)CrossRefGoogle Scholar
  36. Meuleman, B., Davidov, E., Billiet, J.: Changing attitudes toward immigration in Europe, 2002–2007: a dynamic group conflict theory approach. Soc. Sci. Res. 38(2), 352–365 (2009)CrossRefGoogle Scholar
  37. Meurs, H., van Wissen, L., Visser, J.: Measurement biases in panel data. Transportation 16, 175–194 (1989)CrossRefGoogle Scholar
  38. Mickelson, K.D., Claffey, S.T., Williams, S.L.: The moderating role of gender and gender role attitudes on the link between spousal support and marital quality. Sex Roles 55, 73–82 (2006)CrossRefGoogle Scholar
  39. Millsap, R.E., Hartog, S.B.: Alpha, beta, and gamma change in evaluation research: a structural equation approach. J. Appl. Psychol. 73(3), 574–584 (1988)CrossRefGoogle Scholar
  40. Millsap, R.E.: Statistical Approaches to Measurement Invariance. Routledge, New York (2011)Google Scholar
  41. Poznyak, D., Meuleman, B., Abts, K., Bishop, G.F.: Trust in American government: longitudinal measurement equivalence in the ANES, 1964–2008. Soc. Indic. Res. 118(2), 741–758 (2014)CrossRefGoogle Scholar
  42. Read, S., Grundy, E.: Mental health among older married couples: the role of gender and family life. J. Soc. Psychiatry Psychiatr. Epidemiol. 46(4), 331–341 (2011)CrossRefGoogle Scholar
  43. Riordan, C.M., Richardson, H.A., Schaffer, B.S., Vandenberg, R.J.: Alpha, beta and gamma change—a review of past research with recommendations for new directions. In: Schriesheim, C., Neider, L.L. (eds.) Equivalence in Measurement, pp. 51–97. IAP, Charlotte (2001)Google Scholar
  44. Saris, W.E., Gallhofer, I.N.: Design, Evaluation, and Analysis of Questionnaires for Survey Research. John Wiley & Sons, Chapel Hill (2007)CrossRefGoogle Scholar
  45. Schmitt, N., Kuljanin, G.: Measurement invariance: review of practice and implications. Hum. Resour. Manag. Rev. 18, 210–222 (2008)CrossRefGoogle Scholar
  46. Schoonees, P. C., van de Velden, M. C., Groenen, P. J. F.: Constrained dual scaling for detecting response styles in categorical data. Psychometrika (in press)Google Scholar
  47. Smith, T.W.: Refining the total survey error perspective. Int. J. Public Opin. Res. 23(4), 464–484 (2011)CrossRefGoogle Scholar
  48. Steenkamp, J.B.E.M., Baumgartner, H.: Assessing measurement invariance in cross-national consumer research. J. Consum. Res. 25(1), 78–107 (1998)CrossRefGoogle Scholar
  49. Sturgis, P., Allum, N., Brunton-Smith, I.: Attitudes over time—the psychology of panel conditioning. In: Lynn, P. (ed.) Methodology of Longitudinal Surveys, pp. 113–126. John Wiley & Sons, Chichester (2009)CrossRefGoogle Scholar
  50. Sweeting, H., Bhaskar, A., Benzeval, M., Popham, F., Hunt, K.: Changing gender roles and their implications for well-being around the new millennium. Soc. Psychiatry Psychiatr. Epidemiol. 49, 791–809 (2014)CrossRefGoogle Scholar
  51. Toepoel, V., Das, M., van Soest, A.: Effects of design in web surveys: comparing trained and fresh respondents. Public Opin. Q. 72(5), 985–1007 (2009)CrossRefGoogle Scholar
  52. Vandenberg, R.J.: Toward a further understanding of and improvement in measurement invariance methods and procedures. Organ. Res. Methods 5, 139–158 (2002)CrossRefGoogle Scholar
  53. Vandenberg, R.J., Lance, C.E.: A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ. Res. Methods 3(1), 4–70 (2000)CrossRefGoogle Scholar
  54. Van De Vijver, F.J.R.: Cultural and gender differences in gender-role beliefs, sharing household task and child-care responsibilities, and well-being among immigrants and majority members in the Netherlands. Sex Roles 57(11–12), 813–824 (2007)CrossRefGoogle Scholar
  55. Voas, D.: Towards a sociology of attitudes. Sociol. Res. Online (2014). doi: 10.5153/sro.3289 Google Scholar
  56. Warren, J.R., Halpern-Manners, A.: Panel conditioning in longitudinal social science surveys. Sociol. Methods Res. 41(4), 491–534 (2012)CrossRefGoogle Scholar
  57. Waterton, J., Lievesley, D.: Evidence of conditioning effects in the british social attitudes panel. In: Duncan, G., Kalton, G., Kasprzyk, D., Singh, M.P. (eds.) Panel Surveys, pp. 318–339. Wiley, New York (1989)Google Scholar
  58. Weijters, B., Geuens, M., Schillewaert, N.: The stability of individual response styles. Psychol. Methods 15(1), 96–110 (2010)CrossRefGoogle Scholar
  59. Yan, T., Eckman, S.: Panel conditioning: change in true value versus change in self-report. In: Proceedings of the Survey Methods Research Section, American Statistical Association, Alexandria (2012)Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Institute of Political Science and Sociology, University of BonnBonnGermany

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