A criterion measurement model for health behavior change

Addictive Behaviors

Volumn 21, Issue 5, 1996, Pages 555-584

  Velicer, Wayne F ^a   Rossi, Joseph S ^b   Prochaska, James O ^b   Diclemente, Carlo C ^b  

^a UNIVERSITY OF RHODE ISLAND   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COGNITION; EVALUATION AND FOLLOW UP; HABIT; HEALTH BEHAVIOR; MODEL; MULTIVARIATE ANALYSIS; SMOKING CESSATION;

EID: 0030250084     PISSN: 03064603     EISSN: None     Source Type: Journal    
DOI: 10.1016/0306-4603(95)00083-6     Document Type: Article

References (108)

1. Allison, P. D. (1984). Event history analysis: Regression for longitudinal event data. Beverly Hills, CA: Sage.
2. Baer, J. S., Holt, C. S., & Lichtenstein, E. (1986). Self-efficacy and smoking re-examined: Construct validity and clinical utility. Journal of Consulting and Clinical Psychology, 54, 846-852.
3. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavior change. Psychological Review, 84, 191-215.
4. Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37, 122-147.
5. Bentler, P. M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31, 419-456.
6. Bentler, P. M. (1990). Comparatiave fit indices in structural models. Psychological Bulletin. 107, 238-246.
7. Blane, H. T., & Leonard, K. E. (1987). Pschological theories of drinking and alcoholism. New York: The Guilford Press.
8. Blossfield, H. P., Hamerle, A., & Mayer, K. V. (1989). Event history analysis: Statistical theory and application in the social sciences. Hillsdale, NJ: Erlbaum.
9. Box, G. E. P., & Jenkins, G. M. (1976). Time-series analysis: Forecasting and control., (Rev. ed.). San Francisco: Holden Day.
10. Brownell, K. D., Marlatt, G. A., Lichtenstein, E., & Wilson, C. T. (1986). Understanding and preventing relapse. American Psychologist, 41, 765-778.
11. Coan, R. W. (1973). Personality variables associated with cigarette smoking. Journal of Personality and Social Psychology, 26, 86-104.
12. Coelho, R. J. (1984). Self-efficacy and cessation of smoking. Psychological Reports, 54, 309-310.
13. Cohen J. (1977). Statistical power analysis for the behavioral sciences (Rev. ed.). New York: Academic Press.
14. Collins, L. M., & Wugalter, W. E. (1992). Latent class models for stage-sequential dynamic latent variables. Multivariate Behavioral Research, 27, 131-157.
15. Collines, L. M., Wugalter, S. E., & Rousculp, S. S. (1991). LTA User's Manual. Los Angeles: J. P. Guilford Laboratory of Quantitative Psychology, University of Southern California.
16. Condiotte, M. M., & Lichtenstein, E. (1981). Self-efficacy and relapse in smoking cessation programs. Journal of Consulting and Clinical Psychology, 49, 648-658.
17. Costa, P. T., McCrae, R. R., & Bosse, R. (1980). Smoking motive factors: A review and replication. International Journal of the Addictions, 15, 537-549.
18. Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 282-302.
19. DiClemente, C. C. (1981). Self-efficacy and smoking cessation maintenance: A preliminary report. Cognitive Therapy and Research, 5, 175-187.
20. DiClemente, C. C. (1986). Self-efficacy and the addictive behaviors. Journal of Social and Clinical Psychology, 4, 302-315.
21. DiClemente, C. C. & Prochaska, J. O. (1982). Self-change and therapy change of smoking behavior: A comparison of processes of change in cessation and maintenance. Addictive Behaviors, 7, 133-142.
22. DiClemente, C. C., Prochaska, J. O., Fairhurst, S. K., Velicer, W. F., Velasquez, M. M., & Rossi, J. S. (1991). The processes of smoking cessation: An analysis of precontemplation, contemplation and preparation stages of change. Journal of Consulting and Clinical Psychology, 59, 295-304.
23. DiClemente, C. C., Prochaska, J. O., & Gibertini, M. (1985). Self-efficacy and the stages of self-change of smoking. Cognitive Therapy and Research, 9, 181-200.
24. Fagerström, K. O. (1978). Measuring degree of physical dependence to tobacco smoking with reference to individualization of treatment. Addictive Behaviors, 3, 235-241.
25. Fava, J. L., Velicer, W. F., & Prochaska, J. O. (1994). Applying the Transtheoretical Model to a large representative smoking sample. Addictive Behaviors, 19, 189-203.
26. Glasgow, R. E., Mullooly, J. P., Vogt, T. M., Stevens, V. J., Lichtenstein, E., Hollis, J. F., Lando, H. A., Stevenson, H. H., Pearson, K. A., & Vogt, M. R. (1993). Biochemical validation of smoking status in public health settings: pros, cons, and data from four low-intensity intervention trials. Addictive Behaviors, 18, 504-527.
27. Glass, G. V., Wilson, V. L., & Gottman, J. M. (1975). Design and analysis of time-series experiments. Boulder, CO: Colorado Associated University Press.
28. Graham, J. W., Collines, L. M., Wugalter, S. E., Chung, N. K., & Hansen, W. B. (1991). Modeling transitions in latent stage-sequential processes: A substance use prevention example. Journal of Consulting and Clinical Psychology, 59, 48-57.
29. Hakstian, A. R., Rogers, W. T., & Cattell, R. B. (1982). The behavior of number of factor rules with simulated data. Multivariate Behavioral Research, 17, 193-219.
30. Harrop, J., & Velicer, W. F. (1985). A comparison of alternative approaches to the analysis of interrupted time-series. Multivariate Behavioral Research, 20, 27-44.
31. Harrop, J. W., & Velicer, W. F. (1990). Computer programs for interrupted time series analysis: II. A quantitative evaluation. Multivariate Behavioral Research, 25, 233-249.
32. Horn, D. (1969). Why do you smoke. Public Health Service Publicaiton No. 2013. Washington. DC: U.S. Department of Health, Education, and Welfare.
33. Horn, D. (1976). A model for the study of personal choice health behavior. International Journal of the Addictions, 19, 89-98.
34. Horn, D., & Waingrown, S. (1966). Some dimensions of a model for smoking behavior change. American Journal of Public Health, 56, 21.
35. Hoyt, M. F., & Janis, I. L. (1975). Increasing adherence to a stressful decision via a motivational balancesheet procedure: A field experiment. Journal of Personality and Social Psychology, 31, 833-839.
36. Ikard, F. F., Green, D. E., & Horn, D. (1969). A scale to differentiate between types of smoking as related to the management of affect. International Journal of the Addictions, 4, 649-659.
37. Ikard, F. F., & Tomkins, S. (1973). The experience of affect as a determinant of smoking behavior: A series of validity studies. Journal of Abnormal Psychology, 81, 172-181.
38. Jackson, D. N. (1970). A sequential system for personality scale development. In C. D. Spielberger (Ed.), Current Topics in Clinical and Community Psychology, (Vol. 2, pp. 61-96). New York: Academic Press.
39. Jackson, D. N. (1971). The dynamics of structured personality tests: 1971. Psychological Review, 78, 229-248.
40. Janis, I. L., & Mann, L. (1977). Decision making: A psychological analysis of conflict, choice and commitment. New York: Free Press.
41. Joffe, R., Lowe, M. R., & Fisher, E. B. (1981). A validity test of the Reasons for Smoking acale. Addictive Behaviors, 6, 41-45.
42. Jones, R. R., Weinroth, M., & Vaught, R. S. (1978). Effects of serial dependency on the agreement between visual and statistical inference. Journal of Applied Behavior Analysis, 11, 277-283.
43. Joreskog, K. G. (1970). A general method for analysis of covariance structures. Biometrika, 57, 239-251.
44. Joreskog, K. G. (1977). Statistical models and methods for analysis of longitudinal data. In D. V. Aigner, & A. S. Goldberg (Eds.), Latent variables in socioeconomic models. Amsterdam: North Holland.
45. Joreskog, K. G. (1978). Structural analysis of covariance and correlation matrices. Psychometrika, 43, 443-477.
46. Joreskog, K. G., & Sorbom, D. (1984). LISREL VI Users Guide. Chicago: National Educational Resources.
47. Lettieri, D. J., Sayers, M., & Pearson, H. W., (1980). Theories on drug abuse: Selected contemporary perspectives. NIDA research Monograph 30. Rockville, MD: Department of Health and Human Services National Institute.
48. Leventhal, H., & Avis, N. (1976). Pleasure, addiction, and habit: Factors in verbal report or factors in smoking behavior? Journal of Abnormal Psychology, 85, 478-488.
49. Leventhal, H., & Cleary, P. D. (1980). The smokng problem: A review of the research and theory in behavioral risk modification. Psychological Bulletin, 88, 370-405.
50. Loevinger, J. (1957). Objective tests as instrumentals of psychological theory. Psychological Reports, 3, 635-694.
51. Marlatt, G. A. (1978). Craving for alcohol, loss of control and relapse: A cognitive-behavioral analysis. In P. E. Nathan, G. A. Marlatt, & T. Loberg (Eds.), Alcoholism: New directions in behavioral research and treatment. New York: Plenum.
52. Marlatt, G. A., & Gordon, J. R. (1980). Determinants of relapse: Implications for the maintenance of behavior change. In P. Davidson (ed.). Behavior medicine: Changing health lifestyles. New York: Brunner/Mazel.
53. Marlatt, G. A., & Gordon, J. R. (Eds). (1985). Relapse prevention: Maintenance strategies in addictive behavior change. New York: Guilford.
54. Marsh, W. W., Balla, J. R., & McDonald, R. P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103, 391-410.
55. Martin, R. A., Velicer, W. F., & Fava, J. L. (1995). Latent transition analysis applied to the stages of change. Manuscript under review.
56. McCleary, R., & Hay, R. A., Jr. (1980). Applied time series analysis for the social sciences. Beverly Hills, CA: Sage.
57. McDonald, R. P. (1990). An index of goodness-of-fit based on non-centrality. Journal of Classification, 6, 97-103.
58. McIntyre, K., Lichtenstein, E., & Mermelstein, R. (1983). Self-efficacy and relapse in smoking cessation: A replication and extension. Journal of Consulting and Clinical Psychology, 51, 632-633.
59. Miller, W. E., & Heather, N. (Eds.) (1986). Treating addictive behaviors: Processes of change. New York: Plenum.
60. Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S., & Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105, 430-445.
61. Orford, J. (1985). Excessive appetites: A psychological view of addictions. New York: John Wiley & Sons.
62. Padia, W. L. (1973). Effect of auto correlation on probability statements about the mean. Masters thesis, Laboratory of Educational Research, University of Colorado.
63. Patrick, D. L., Cheadle, A., Thompson, D. C., Diehr, P., Koepsell, T., & Kinne, S. (1994). The validity of self-reported smoking: A review and meta-analysis. American Journal of Public Health, 84, 1086-1093.
64. Pojer, R., Whitfield, J. B., Poulos, V., Eckhard, I. F., Richmond, R., & Hensley, W. J. (1984). Carboxyhemoglobin, cotinine, and thiocyanate assay compared for distinguishing smokers from non-smokers. Clinical Chemistry, 30, 1377-1380.
65. Prochaska, J. O., & DiClemente, C. C. (1982). Transtheoretical therapy: Toward a more integrative model of change. Psychotherapy: Theory, Research and Practice, 19, 276-288.
66. Prochaska, J. O., & DiClemente, C. C. (1983). Stages and processes of self-change of smoking: Toward an integrative model of change. Journal of Consulting and Clinical Psychology, 51, 390-395.
67. Prochaska, J. O., & DiClemente, C. C. (1992). Stages of change in the modification of problem behaviors. In M. Hersen, R. M. Eisler, & P. M. Miller (Eds.), Progress in behavior modification. New Park: Sage.
68. Prochaska, J. O., DiClemente, C. C., Velicer, W. F., Ginpil, S., & Norcross, J. C. (1985). Predicting change in smoking status for self-changers. Addictive Behaviors, 10, 395-406.
69. Prochaska, J. O., Velicer, W. F., DiClemente, C. C., & Fava, J. (1988). Measuring the processes of change: Applications to the cessation of smoking. Journal of Consulting and Clinical Psychology, 56, 520-528.
70. Prochaska, J. O., Velicer, W. F., DiClemente, C. C., Guadagnoli, E., & Rossi, J. S. (1991). Patterns of change: Dynamic typology applied to smoking cessation. Multivariate Behavioral Research, 26, 83-107.
71. Prochaska, J. O., Velicer, W. F., Rossi, J. S., Goldstein, M. G., Marcus, B. H., Rakowski, W., Fjore, C., Harlow, L. L., Redding, C. A., Rosenbloom, D., & Rossi, S. R. (1994). Stages of change and decisional balance for twelve problem behaviors. Health Psychology 13, 39-46.
72. Reed, H. D., & Janis, I. L. (1974). Effects of a new type of psychological treatment on smokers' resistance to warnings about health hazards. Journal of Consulting and Clinical Psychology, 42, 748.
73. Richmond, R., & Webster, I. (1986). Blood cotinine, Carboxyhemoglobin, and thiocyanate concentrations and cigarette consumption. British Medical Journal, 293, 1280.
74. Rossi, J. S. (1985). Tables of effect size for Z score tests of differences between proportions and between correlation coefficients. Educational and Psychological Measurement, 45, 737-743.
75. Rossi, J. S., Harlow, L. L., Wilcox, N. S., Fava, J. L., & Prochaska, J. O. (1988, August). Factor structure of the Reasons for Smoking Scale. Paper presented at the 96th annual meeting of the American Psychological Association, Atlanta, GA.
76. Schaie, K. W., & Strother, C. R. (1968). A cross-sequential study of age changes in cognitive behavior. Psychological Bulletin, 70, 271-280.
77. Seltzer, C. C. (1974). Effects of smoking on blood pressure. American Heart Journal, 87, 558-564.
78. Shiffman, S. (1982). Relapse following smoking cessation: A situational analysis. Journal of Consulting and Clinical Psychology, 50, 71-86.
79. Simonton, D. K. (1977). Cross-sectional time-series experiments: Some suggested statistical analyses. Psychological Bulletin, 84, 489-502.
80. Singer, J. D., & Willett, J. B. (1991). Modeling the days of our lives: Using survival analysis when designing and analyzing longitudinal studies of duration and the timing of events. Psychological Bulletin, 110, 268-290.
81. Skinner, H. A., & Allen, B. A. (1983). Differential assessment of alcoholism: Evaluation of the alcohol use inventory, Journal of Studies on Alcohol, 44, 852-862.
82. Sobell, L. C., & Sobell, M. B. (1990). Self reports across addictive behaviors. New York: The Guilford Press.
83. Solomon, R. L. (1980). The opponent-process theory of acquired motivation. American Psychologist, 35, 691-712.
84. Solomon, R. L., & Corbit, J. D. (1973). An opponent-process theory of motivation: II. Cigarette addiction. Journal of Abnormal Psychology, 81, 158-171.
85. Solomon, R. L., & Corbit, J. D. (1974). An opponent-process theory of motivation: I. Temporal dynamics of affect. Psychological Review, 81, 119-145.
86. Sorbom, D. (1975). Detection of correlated errors in longitudinal data. British Journal of Mathematical and Statistical Psychology, 28, 138-151.
87. Steiger, J. H. (1989). Ez PATH: A supplementary module for SYSTAT and SYGRAPH. Evanston, IL; SYSTAT, Inc.
88. Steiger, J. H., & Lind, J. C. (1980, May). Statistically-based tests for the number of common factors. Paper presented at the annual meeting of the Psychometric Society, Iowa City, IA.
89. Tomkins, S. S. (1966). Psychological model for smoking behavior. American Journal of Public Health, 68, 250-257.
90. Tomkins, S. S. (1968). A modified model of smoking behavior. In E. F. Borgatta & R. R. Evans (Eds,.), Smoking, health and behavior. Chicago: Aldine.
91. Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10.
92. Velicer, W. F., & DiClemente, C. C., (1993). Understanding and Intervening with the total population of smokers. Tobacco Control, 2, 95-96.
93. Velicer, W. F., DiClemente, C. C., Prochaska, J. O., & Brandenberg, N. (1985). Decisional balance measure for assessing and predicting smoking status. Journal of Personality and Social Psychology, 48, 1279-1289.
94. 2m^Velicer, W. F., DiClemente, C. C., Rossi, J. S., & Prochaska, J. O. (1990). Relapse situations and self-efficacy: An integrative model. Addictive Behaviors, 15, 271-283.
95. Velicer, W. R., Fava, J. L., Prochaska, J. O., Abrams, D. G., & Goldstein, M. D. (1992). Design for a small state. Manuscript under review.
96. Velicer, W. F., Fava, J. L., Prochaska, J. O., Abrams, D. B., Emmons, K. M., & Pierce, J. P. (1995). Distribution of smokers by stage in three representative samples. Preventive Medicine, 24, 401-411.
97. Velicer, W. F., & Harrop, J. (1983). The reliability and accuracy of time series model identification. Evaluation Review, 7, 551-560.
98. Velicer, W. F., Hughes, S. L., Fava, J. L., Prochaska, J. O., & DiClemente, C. C., (1995). An empirical typology of subjects within stages of change. Addictive Behaviors, 20, 299-300.
99. Velicer, W. F., & Jackson, D. N. (1990). Component analysis vs. common factor analysis: Some issues in selecting an appropriate procedure. Multivariate Behavioral Research, 25, 1-28.
100. Velicer, W. F., & McDonald, R. P. (1984). Time series analysis without model identification. Multivariate Behavioral Research, 19, 33-47.
101. Velicer, W. F., Prochaska, J. O., Rossi, J. S., & DiClemente, C. C., (1985, November). A criterion measurement model for addictive behaviors. Paper presented at the Society for Multivariate Experimental Psychology Meeting. Berkeley, CA.
102. Velicer, W. F., Prochaska, J. O., Rossi, J. S., & Snow, M. (1992). Assessing outcome in smokng cessation studies. Psychological Bulletin, 111, 23-41.
103. Velicer, W. F., Redding, C. A., Richmond, R., Greeley, J., & Swift, W. (1992). A time series investigation of three nicotine regulation models. Addictive Behaviors, 71, 325-345.
104. Velicer, W. F., Rossi, J. S., Ruggiero, L., & Prochaska, J. O. (1994). Minimal interventions appropriate for an entire population of smokers. In R. Richmond (Ed.), Interventions for smokers: An international perspective, (pp. 69-92). Baltimore: Williams & Wilkins.
105. Wanberg, K. W., & Horn, J. L. (1983). Assessment of alcohol use with multidimensional concepts and measures. American Psychologist, 38, 1055-1069.
106. Willett, J. B., & Singer, J. O. (1991). How long did it take . . .? Using survival analysis in educational and psychological research. In L. M. Collins & J. L. Horn (Eds.), Best methods for the analysis of change (pp. 310-327). Washington, DC: American Psychological Association.
107. Willett, J. B., & Singer, J. O. (1993). Investigating onset, cessation, relapse and recovery: Why you should, and how you can, use discrete-time survival analysis to examine event occurrence. Journal of Consulting and Clinical Psychology, 61, 952-965.
108. Zwick, W. R., & Velicer, W. F. (1986). A comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442.