Abstract
This chapter will address many of the issues that confront research psychologists who conduct empirical studies based on the system modeling methods described in this volume. In this chapter, we shall cover the problems of the design of proper empirical studies, emphasizing the use of longitudinal and time series studies to describe the dynamic behavior of the system. The chapter deals with the problem of measurement error in time series associated with system behavior and possible solutions to measurement error through the application of filtering techniques borrowed from the engineering literature. Finally, the topic of developing psychological instruments from the perspective of scaling will be covered in some detail. A way of developing theoretical curves for system variables that will be congruent with interval scales will be suggested.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Acton, J. R., & Squire, P. T. (1985). Solving equations with physical understanding. Boston: Adam Hilger, Ltd..
Baird, J. C., & Noma, E. (1978). Fundamental of scaling and psychophysics. New York: John Wiley & Son.
Beaton, A. E., & Tukey, J. W. (1974). The fitting of power series, meaning polynomials, illustrated on band-spectroscopic data. Technometrics, 16, 147–185.
Bloomfield, P., & Steiger, W. (1983). Least absolute deviation. Boston: Birkhauser.
Cadzow, J. A. (1973). Discrete-time systems. Englewood Cliffs, NJ: Prentice-Hall.
Gaynor, A. K., & Clauset, K. H. (1983). Implementing effective school policies: A system dynamics policy analysis. Proceedings of the 1983 International Systems Dynamics Conference, 1, 307–314.
Gescheider, G. A. (1988). Psychophysical scaling. In M. R. Rosensweig & L. Porter (Eds.), Annual Review of Psychology, 39, pp. 169–200. Palo Alto: Annual Reviews, Inc.
Keppel, G. (1982). Design and analysis a researcher’s handbook. Englewood Cliffs, NJ: Prentice-Hall.
Lodge, M. (1981). Magnitude scaling: Quantitative measurements of opinions. Beverly Hills: Sage Publications.
Rousseeuw, P. J., & Leroy, A. M. (1987). Robust regression and outlier detection. New York: John Wiley and Sons.
Stevens, S. S. (1936). A scale for the measurement of a psychological magnitude: Loudness. Psychological Review, 43, 405–416.
Stevens, S. S. (1955). The measurement of loudness. Journal of the Acoustical Society of America, 27, 815–820.
Stevens, S. S. (1957). On the psychophysical law. Psychological Review, 64, 151–181.
Stevens, S. S. (1961). To honor Fechner and repeal his law. Science, 133, 80–86.
Stevens, S. S. (1968). Ratio scales of opinion. In D. K. Whitla (Ed.), Handbook of measurement and assessment in behavioral sciences (pp. 171–199 ). Reading, MA: Addison-Wesley.
Stevens, S. S. (1975). Psychophysics: Introduction to its perceptual, neural, and social prospects. New York: John Wiley & Son.
Woefel, J., & Fink, E. L. (1980). The measurement of communication processes: Galileo theory and method. New York: Academic Press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Plenum Press, New York
About this chapter
Cite this chapter
Levine, R.L., Lodwick, W. (1992). Psychological Scaling and Filtering of Errors in Empirical Systems. In: Levine, R.L., Fitzgerald, H.E. (eds) Analysis of Dynamic Psychological Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6440-9_4
Download citation
DOI: https://doi.org/10.1007/978-1-4615-6440-9_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-6442-3
Online ISBN: 978-1-4615-6440-9
eBook Packages: Springer Book Archive