Mass media research has been inhibited by the lack of process methodologies which do not require panel data. This paper presents three alternative methods for generating predictions from survey-accessible phenomena which meet the requirements mentioned above. These techniques are applied to real data. The relative presumptions and merits of each are assessed
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References
1.
Anderson, T. (1954) "Probability models for analyzing time changes in attitudes," in P. Lazarsfeld (ed.) Mathematical Thinking in the Social Sciences. New York: Free Press.
2.
——— and L. Goodman (1957) "Statistical inference about Markov chains." Annals of Mathematical Statistics:28: 89-110.
3.
Bartholemew, D.J. (1967) Stochastic Models for Social Processes. New York: John Wiley.
4.
Campbell, D.T. and J.C. Stanley (1963) Experimental and Quasi-Experimental Designs for Research. Chicago: Rand McNally .
5.
Campbell, H. (1968) Matrices with Applications. New York: Appleton-Century-Crofts.
6.
Crider, D., F. Willits, and R. Bealer (1973) "Panel studies: some practical problems." Soc. Methods and Research2: 3-19.
7.
Cohen, J. (1969) Statistical Power Analysis for the Behavioral Sciences . New York: Academic Press.
8.
Coleman, J. (1973) The Mathematics of Collective Action. Chicago: Aldine.
9.
——— (1964) Introduction to Mathematical Sociology. New York: Free Press.
10.
Draper, N. and N. Smith (1966) Applied Regression Analysis. New York: John Wiley.
11.
Duncan, O.D. (1975) Introduction to Structural Equation Models. New York: Academic.
12.
Ehrenberg, A. (1965) "An appraisal of Markov brand-switching models ." J. of Marketing Research2: 347-362.
13.
Feller, W. (1957) An Introduction to Probability Theory and Its ApplicationsNew York: John Wiley.
14.
Glass, G.V., V.L. Willson, and J.M. Gottman (1975) Design and Analysis of Time-Series Experiments . Boulder, CO: Colorado Associated University Press.
15.
Goodman, L. (1973a) "Causal analysis of data from panel studies and other kinds of surveys." Amer. J. of Sociology78: 1135-1191.
16.
——— (1973b) "The analysis of multidimensional contingency tables when some variables are posterior to others: a modified path analysis approach." Biometrika60: 179-192.
17.
——— (1953) "A further note on 'Finite Markov Processes in Psychology'." Psychometrika18: 245-248.
18.
Hannan, M. and A. Young (1977) "Estimation in panel models: results of pooling cross-sections and time series," in D. Heise (ed.) Sociological Methodology 1977. San Francisco: Jossey-Bass.
19.
Hawes, L. and J. Foley (1976) "Group decisioning: testing a finite stochastic model," in G. R. Miller (ed.) Explorations in Interpersonal Communication. Beverly Hills, CA: Sage.
20.
Hayes, D.P., L. Meltzer, and G. Wolf (1970) "Substantive conclusions are dependent upon techniques of measurement." Behavioral Sci.15: 265-268.
21.
Hawkes, A. (1969) "An approach to the analysis of electoral swing ." J. of the Royal Statistical SocietyA132: 68-79.
22.
Henry, N.W. (1971) "The retention model: a Markov chain with variable transition probabilities." J. of the Amer. Statistical Association66: 264-267.
23.
Hewes, D. (forthcoming) "Stochastic models of communication processes," in P. Monge and J. Cappella (eds.) Multivariate Techniques in Communication Research. New York: Academic.
24.
——— (1977) "The sequential analysis of social interaction: what do we know and when should we stop knowing it?" Presented to the Speech Communication Association Convention.
25.
——— (1975) "A stochastic model of the relationship between attitudes and behaviors." Presented to the International Communication Association Convention.
26.
——— and D. Evans-Hewes (1974) "Toward a Markov chain model of attitude change ." Presented at the Speech Communication Association , Chicago.
27.
——— A. Brazil, and D. Evans (1977) "A comparative test of two stochastic process models of messages, mediating variables and behavioral expectations," in B. Ruben (ed.) Communication Yearbook INew Brunswick, NJ: Transaction—I.C.A.
28.
Hibbs, D.A. (1977) "On analyzing the effects of policy interventions: Box-Jenkins and Box-Tiao versus structural equation models," in D. R. Heise (ed.) Sociological Methodology 1977San Francisco: Jossey-Bass .
29.
——— (1974) "Problems of statistical estimation and causal inference in time-series regression models," in H. Costner (ed.) Sociological Methodology 1974. San Francisco: Jossey-Bass.
30.
Hovland, C., A. Lumsdaine, and F. Sheffield, (1949) "The effects of presenting 'one side' versus 'both sides' in changing opinions of a controversial subjection," in C. Hovland (ed.) Experiments in Mass Communication . Princeton: NJ: Princeton Univ. Press.
31.
Isaacson, D.L. and R.W. Madsen (1976) Markov Chains: Theory and Applications. New York: John Wiley.
32.
Kao, R. ( 1953) "Note on Miller's 'Finite Markov Processes in Psychology '." Psychometrika18: 241-243.
33.
Kashyap, R. and A. Rao (1976) Dynamic Stochastic Models from Empirical Data. New York: Academic Press.
34.
Kullback, S., M. Kupperman, and H. Ku (1962) "Tests for contingency tables and Markov chains ." Technometrics4: 573-608.
35.
Land, K. (1969) "Principles of path analysis," in E. Borgatta (ed.) Sociological Methodology 1969. San Francisco: Jossey-Bass .
36.
Lee, T., G. Judge, and Z. Zellner (1970) Estimating the Parameters of the Markov Probability Model From Aggregate Time Series Data. Amsterdam, Holland : North-Holland Publishing.
37.
MacRae, E.C. (1977) "Estimation of time-varying Markov processes with aggregate data." Econometrica45: 183-198.
38.
Madansky, A. (1959) "Least squares estimation in finite Markov processes ." Psychometrika24: 137-144.
39.
Massey, W.F., D.B. Montgomery, and D.G. Morrison (1970) Stochastic Models of Buying Behavior. Cambridge, MA: MIT Press.
40.
Miller, G. (1952) "Finite Markov processes in psychology." Psychometrika17: 149-167.
41.
Miller, W. (1972) "Measures of electoral change using aggregate data ." J. of the Royal Statistical Society135A: 122-142.
42.
Morrison, D., W. Massey, and F. Silverman (1971) "The effect of nonhomogeneous populations on Markov steady-state probabilities." J. of the American Statistical Association66: 268-274.
Singer, B. and S. Spilerman (1976) "The representation of social processes by Markov models." Amer. Soc. Rev.82: 1-54.
45.
——— (1974) "Social mobility models for heterogeneous populations ," in H. Costner (ed.) Sociological Methodology 1974. San Francisco: Jossey-Bass.
46.
Spilerman, S. (1972) "The analysis of mobility processes by the introduction of independent variables into a Markov Chain." Amer. Soc. Rev.37: 277-294.
47.
Suppes, P. and R.C. Atkinson (1960) Markov Learning Models for Multiperson Interactions . Stanford: Stanford Univ. Press .
48.
Telser, L. (1963) "Least-squares estimates of transition probabilities ," in C. Christ (ed.) Measurement in Economics. Stanford: Stanford Univ. Press.
49.
Vigderhous, G. (1978) "Forecasting sociological phenomena: application of Box-Jenkins methodology to suicide rates," in K. Schuessler (ed.) Sociological Methodology 1978. San Francisco: Jossey-Bass.
50.
Wotring, C. and D. Leroy (1974) "The decline of the Watergate audience." Public Telecommunications Rev.2: 28-33.
51.
——— and G. Phifer (1973) "Watergate: Who's watching the hearings?" Public Telecommunications Review1: 5-11.
