Abstract
Travel mode choice has been investigated in the last decade by many researchers, (e.g. Diekmann, 1994; Franzen, 1997; Bamberg, & Schmidt 1998, 2003; Davidov, Schmidt, & Bamberg, 2003). What is common to these studies is that they all tried to find a behavioral explanation to clarify why people choose different means of transportation on their way to work or to a variety of other destinations. In general, these studies differ in various aspects, methodological and substantial.
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References
Ajzen, I. (1985). From intentions to action: A theory of planned behavior. In: J. Kühl, & J. Beckman (Eds.), Action control: From cognitions to behaviors (pp. 11–39). NY: Springer.
Ajzen, I. (1988). Attitudes, personality and behavior. Milton-Keynes, England: Open University Press.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes,50, 179–211.
Ajzen, L, & M. Fishbein (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888–918.
Anderson, T. W. (1960). Some stochastic process modeis for intelligence test scores. In K. J. Arrow, S. Karlin, & P. Suppes (Eds.), Mathematical methods in the social sciences (pp.205–220). Stanford,CA: Stanford University Press.
Arbuckle, J.L., & Wothke, W. (1999).AMOS user’s guide 40. Chicago: Smallwaters.
Bamberg, S., & Schmidt, P. (1998). Changing travel mode choice as rational choice. Results from a longitudinal Intervention study. Rationality and Society,10(2), 223–252.
Bamberg, S., & Schmidt, P. (2000). Regulating transport: Behavioral changes in the field. Journal of Consumer Policy, 22, 479–509.
Bamberg, S., & Schmidt, P. (2003). Incentives, morality or habit? Predicting students’ car use for university routes with the modeis of Ajzen, Schwartz and Triandis. Environment and Behavior, 35(2), 264–285.
Bast, J., & Reitsma, P. (1997). Matthew effects in reading: A comparison of latent growth curve modeis and simplex modeis with structured means. Multivariate Behavioral Research, 32, 135–167.
Bentier, P. M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31, 419–456.
Bentier, P. M. (1983). Some contributions to efficient statistics for structural modeis: Specification and estimation of moment structures. Psychometrika, 48, 493–517.
Bohrnstedt, G. W. (1969). Observations on the measurement of change. In E. F. Borgatta (Ed.), Sociological methodology (pp. 113–133). San Francisco: Jossey-Bass.
Browne, M. W., & Du Toit, S. H. C. (1991). Models for learning data. In L. Collins, & J. örn (Eds.), Best methods for the analysis of change: Recent advances, unanswered questions, future directions (pp.47–68). Washington, DC: American Psychological Association.
Browne M. W. (1992). Covariance structures. In D. M. Hawkins (Ed.), Topics in applied multivariate analysis. Cambridge: Cambridge University Press.
Campbell, D. T. (1963). From description to experimentation: Interpreting trends as quasi-experiments. In C. W. Harris (Ed.), Problems in measuring change (pp.212–242). Madison: University of Wisconsin Press.
Curran, P. J. (2000). A latent curve framework for studying developmental trajectories of adolescent substance use. In J. Rose, L. Chassin, C. Presson, & J. Sherman (Eds.), Multivariate applications in substance use research (pp.1–42).
Mahwah, NJ: Erlbaum. Curran, P.J., & Muthen, B. O. (1999). The application of latent curve analysis to testing developmental theories in Intervention research. American Journal of Community Psychology, 27(4), 567–595.
Curran, P., & Bollen, K. (2002). The best of both worlds: Combining autoregressive and latent curve modeis. In A. Sayer, & L. Collins (Eds.), ew methods for the analysis of change (pp. 107–135). Washington, DC: American Psychological Association.
Davidov, E., Schmidt, P., & Bamberg, S. (2003). Time and money: An empirical explanation of behavior in the context of travel mode choice with the German microcensus. European Sociological Review,19(3), 267–280.
Diekmann, A. (1994). Umweltbewusstsein oder Anreizstrukturen? Empirische Befunde zum Energiesparen, der Verkehrsmittelwahl und zum Konsumverhalten. In A. Diekmann, & A. Franzen (Eds.), Kooperatives Umwelthandeln (pp. 39–68).
Bern, Ruegger. Diekmann, A., Gautschi, T., Franzen, A., & Preisendoerfer, P. (1996). Umweltbewusstsein in Deutschland 1996. Codebook- ZA Nr. 2964.Köln: Zentral Archive für Empirische Sozialforschung, Universität zu Köln
Diekmann, A., & Preisendoerfer, P. (1998) Environmental behavior- discrepancies between aspirations and reality. Rationality and society, 10, 79–102.
Duncan, O. D. (1969). Some linear modeis for two-wave, two-variable panel analysis. Psychological Bulletin, 72, 177–182.
Duncan, T.E., Duncan, S. C, Strycker, L. A., Li, F. & Alpert, A. (1999). An introduction to latent variable growth curve modeling. Concepts, issues and applications. London: Lawrence Erlbaum Associates, Publishers.
Franzen, A. (1997). Umweltbewusstsein und Verkehrsverhalten. Empirische Analyse zurVerkehrsmittelwahl und zur Akzeptanz umweltpolitischer Massnahmen. Chur, Zuerich: Ruegger.
Garst, H. (2000). Longitudinal research using structural equation modeling applied in studies of determinants of psychological well-being and personal initiative in east Germany after the unification. Ph.D. Dissertation, University of Amsterdam.
Guttman, L. A. (1954). A new approach to factor analysis. The radex. In P. F. Lazarsfeld (Ed.), Mathematical thinking in the social sciences (pp.258–348). New York: Columbia University Press.
Heise, D. R. (1969). Seperating reliability and stability in test-retest correlation. American Sociological Review, 34, 93–101.
Hoogland, J.J., & Boomsma, A. (1998). Robustness studies in covariance structure modeling. An overview and a metanalysis. Sociological Methods & Research, 26(3), 329–367.
Humphreys, L. G. (1960). Investigations of the simplex. Psychometrika,25, 313–323.
Jagodzinski, W., Kühnel, M., & Schmidt, P. (1987). Is there a ‘Socratic Effect’ in nonexperimental panel studies? Consistency of an attitude toward guestworkers. Sociological Methods & Research,15, 259–302.
Jöreskog, K. G. (1970). A general method for analysis of covariance structures. Biometrika, 57, 239–251.
Jöreskog, K. G. (1971a). Simultaneous factor analysis in several populations. Psychometrika, 36, 409–426.
Jöreskog, K. G. (1971b). Statistical analysis of sets of congeneric tests. Psychometrika, 36, 109–133.
Jöreskog, K. G. (1979). Statistical estimation of structural modeis in longitudinal developmental investigations. In J. R. Nesselroade, & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp.303–352). New York: Academic Press.
Jöreskog, K. G., & Sörbom, D. (1978). Advances in factor analysis and structural equation modeis. Cambridge, MA: Abt books.
Kenny, D. A., & Campbell, D. T. (1989). On the measurement of stability in over-time data. Journal of Personality, 57, 445–481.
Little, T. D., Schnabel, K. U., & Baumert, J. (Eds.) (2000). Modeling longitudinal and multilevel data. Practical Issues, applied approaches and specific examples. Mahwah, NJ, London: Lawrence Erlbaum Association, Publishers.
Marsh, H. W. (1993). Stability of individual differences in multiwave panel studies: Comparison of simplex modeis and one-factor modeis. Journal of Educational Measurement,30, 157–183.
McArdle, J. J.(1986). Latent growth within behavior genetic modeis. Behavioral Genetics,16, 163–200.
McArdle, J. J. (1988). Dynamic but structural equation modeling of repeated measures data. In J. R. Nesselroade, & R. B. Cattel (Eds.), Handbook of multivariate experimental psychology (2nd ed., pp. 561–614). New York: Plenum Press.
McArdle, J. J. (1989). Structural modeling experiments using multiple growth functions. In P. Ackerman, R. Kanfer, & R. Cudeck (Eds.), Learning and individual differences: Abilities,motivation and methodology (pp. 71–117). Hillsdale, NJ: Lawrence Erlbaum Associates.
McArdle, J. J. (1991). Structural modeis of developmental theory in psychology. In P. Van Geert, & L. P. Mos (Eds.), Annais of theoretical psychology (Vol. 7, pp. 139–160). New York: Plenum Press.
McArdle, J. J., & Epstein, D. (1987). Latent growth curves within developmental structural equation modeis. Child Development, 58, 110–133.
McCloy, R. A., Campbell, J. P., & Cudeck, R. (1994). A confirmatory test of a model of Performance determinants. Journal of Applied Psychology, 79, 493–505.
Meredith, W., & Tisak, J. (1984). “Tuckerizing” curves. Paper presented at the annual meeting of the Psychometric Society, Santa Barbara, CA.
Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika,55, 107–122.
Muthln, B. O. (1991). Analysis of longitudinal data using latent variable modeis with varying parameters. In L. M. Collins, & J. L. Hörn (Eds.), Best methods for the analysis of change: Recent advances, unanswered questions, future directions (pp. 1–17). Washington, DC: APA.
Muthen, B. O. (1994). Latent variable modeling of longitudinal and multilevel data. Invited paper for the showcase Session, Section on methodology, American Sociological Association, Aug.
Muthli, B. O., & Curran, J. P. (1997). General longitudinal modeling of individual differences in experimental designs: A latent variable framework for analysis and power estimation. Psychological Methods, 2, 371–402.
Preisendorfer, P. (2000). Strukturell-situationale Gegebenheiten als Bestimmungsfaktoren der Verkehrsmittelwahl. Soziale Welt51, 487–502.
Reinecke, J., Schmidt, P., & Weick, S. (2001). Dynamic modeis via structural equations and Stochastic differential equations: The process of identification of foreigners with Germany. In J. Blasius, J. Hox, E. de Leeuw, & Schmidt, P. (Eds.), Social science methodology in the new millennium. Proceedings of the 5th international Conference on logic and methodology, Opladen: Leske+Budrich.
Rogosa, D., & Willett, J. B. (1985). Satisfying simplex structure is simpler than it should be. Journal of educational sdtatistics, 10, 99–107.
Urban, D. (2002). Prozesseanalyse im Strukturgleichungsmodel. Zur Anwendung latenter Wachstumskurvenmodelle in der sozialisationsforschung. ZA-Information, 51, 6–37.
Willett, J. B. and A. G. Sayer (1994). Using covariance structure analysis to detect correlates and predictors of change. Psychological Bulletin, 116, 363–381.
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Davidov, E., Schmidt, P., Bamberg, S. (2004). Modeling Longitudinal Data of an Intervention Study on Travel Model Choice: Combining Latent Growth Curves and Autoregressive Models.. In: van Montfort, K., Oud, J., Satorra, A. (eds) Recent Developments on Structural Equation Models. Mathematical Modelling: Theory and Applications, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-1958-6_14
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DOI: https://doi.org/10.1007/978-1-4020-1958-6_14
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