Detailed
Overview
of the
Transtheoretical Model
Material adapted and updated for this Website
from:
Velicer, W. F, Prochaska, J. O., Fava, J. L.,
Norman, G. J., & Redding, C. A. (1998)
Smoking cessation and stress management:
Applications of the Transtheoretical Model
of behavior change. Homeostasis, 38, 216-233.
This is an overview of the
Transtheoretical Model of Change, a theoretical model of behavior
change, which has been the basis for developing effective
interventions to promote health behavior change. The
Transtheoretical Model (Prochaska & DiClemente, 1983; Prochaska,
DiClemente, & Norcross, 1992; Prochaska & Velicer, 1997) is
an integrative model of behavior change. Key constructs from other
theories are integrated. The model describes how people modify a
problem behavior or acquire a positive behavior. The central
organizing construct of the model is the Stages of Change. The model
also includes a series of independent variables, the Processes of
Change, and a series of outcome measures, including the Decisional
Balance and the Temptation scales. The Processes of Change are ten
cognitive and behavior activities that facilitate change. This model
will be described in greater detail below.
The Transtheoretical Model is a
model of intentional change. It is a model that focuses on the
decision making of the individual. Other approaches to health
promotion have focused primarily on social influences on behavior or
on biological influences on behavior. For smoking, an example of
social influences would be peer influence models (Flay, 1985) or
policy changes (Velicer, Laforge, Levesque, & Fava, 1994). An
example of biological influences would be nicotine regulation models
(Leventhal & Cleary, 1980; Velicer, Redding, Richmond, Greeley,
& Swift, 1992) and replacement therapy (Fiore. Smith, Jorenby,
& Baker, 1994). Within the context of the Transtheoretical
Model, these are viewed as external influences, impacting through
the individual.
The model involves emotions,
cognitions, and behavior. This involves a reliance on self-report.
For example, in smoking cessation, self-report has been demonstrated
to be very accurate (Velicer, Prochaska, Rossi, & Snow 1992).
Accurate measurement requires a series of unambiguous items that the
individual can respond to accurately with little opportunity for
distortion. Measurement issues are very important and one of the
critical steps for the application of the model involves the
development of short, reliable, and valid measures of the key
constructs.
This paper will demonstrate
applications of the Transtheoretical Model. The model has previously
been applied to a wide variety of problem behaviors. These include
smoking cessation, exercise, low fat diet, radon testing, alcohol
abuse, weight control, condom use for HIV protection, organizational
change, use of sunscreens to prevent skin cancer, drug abuse,
medical compliance, mammography screening, and stress management.
Two of these applications will be described in detail, smoking
cessation and stress management. The former represents a
well-researched area where multiple tests of the model are available
and effective interventions based on the model have been developed
and evaluated in multiple clinical trials. The latter represents a
problem area where research based on the Transtheoretical Model is
in the formative stages.
Stages of Change: The
Temporal Dimension
The stage construct is the key
organizing construct of the model. It is important in part because
it represents a temporal dimension. Change implies phenomena
occurring over time. However, this aspect was largely ignored by
alternative theories of change. Behavior change was often construed
as an event, such as quitting smoking, drinking, or over-eating. The
Transtheoretical Model construes change as a process involving
progress through a series of five stages.
Precontemplation is the
stage in which people are not intending to take action in the
foreseeable future, usually measured as the next six months. People
may be in this stage because they are uninformed or under-informed
about the consequences of their behavior. Or they may have tried to
change a number of times and become demoralized about their ability
to change. Both groups tend to avoid reading, talking or thinking
about their high risk behaviors. They are often characterized in
other theories as resistant or unmotivated or as not ready for
health promotion programs. The fact is traditional health promotion
programs are often not designed for such individuals and are not
matched to their needs.
Contemplation is the stage
in which people are intending to change in the next six months. They
are more aware of the pros of changing but are also acutely aware of
the cons. This balance between the costs and benefits of changing
can produce profound ambivalence that can keep people stuck in this
stage for long periods of time. We often characterize this
phenomenon as chronic contemplation or behavioral procrastination.
These people are also not ready for traditional action oriented
programs.
Preparation is the stage in
which people are intending to take action in the immediate future,
usually measured as the next month. They have typically taken some
significant action in the past year. These individuals have a plan
of action, such as joining a health education class, consulting a
counselor, talking to their physician, buying a self-help book or
relying on a self-change approach. These are the people that should
be recruited for action- oriented smoking cessation, weight loss, or
exercise programs.
Action is the stage in which
people have made specific overt modifications in their life-styles
within the past six months. Since action is observable, behavior
change often has been equated with action. But in the
Transtheoretical Model, Action is only one of five stages. Not all
modifications of behavior count as action in this model. People must
attain a criterion that scientists and professionals agree is
sufficient to reduce risks for disease. In smoking, for example, the
field used to count reduction in the number of cigarettes as action,
or switching to low tar and nicotine cigarettes. Now the consensus
is clear--only total abstinence counts. In the diet area, there is
some consensus that less than 30% of calories should be consumed
from fat. The Action stage is also the stage where vigilance against
relapse is critical.
Maintenance is the stage in
which people are working to prevent relapse but they do not apply
change processes as frequently as do people in action. They are less
tempted to relapse and increasingly more confident that they can
continue their change.
Figure 1 illustrates how the
temporal dimension is represented in the model. Two different
concepts are employed. Before the target behavior change occurs, the
temporal dimension is conceptualized in terms of behavioral
intention. After the behavior change has occurred, the temporal
dimension is conceptualized in terms of duration of behavior.

Figure 1. The Temporal Dimension
as the Basis for the Stages of Change
Regression occurs when individuals
revert to an earlier stage of change. Relapse is one form of
regression, involving regression from Action or Maintenance to an
earlier stage. However, people can regress from any stage to an
earlier stage. The bad news is that relapse tends to be the rule
when action is taken for most health behavior problems. The good
news is that for smoking and exercise only about 15% of people
regress all the way to the Precontemplation stage. The vast majority
regress to Contemplating or Preparation.
In a recent study (Velicer, Fava,
Prochaska, Abrams, Emmons, & Pierce, 1995), it was demonstrated
that the distribution of smokers across the first three Stages of
Change was approximately identical across three large representative
samples. Approximately 40% of the smokers were in the
Precontemplation stage, 40% were in the Contemplation stage, and 20%
were in the Preparation stage.
However, the distributions may be
different in different countries. A recent paper (Etter, Perneger,
& Ronchi, 1997) summarized the stage distributions from four
recent samples from different countries in Europe (one each from
Spain and the Netherlands, and two from Switzerland). The
distributions were very similar across the European samples but very
different from the American samples. In the European samples,
approximately 70% of the smokers were in the Precontemplation stage,
20% were in the Contemplation stage, and 10% were in the Preparation
stage.
While the stage distributions for
smoking cessation have now been established in multiple samples, the
stage distributions for other problem behaviors are not as well
known. This is particularly true for countries other than the United
States.
Intermediate/Dependent Measures:
Determining when Change Occurs
The Transtheoretical Model also
involves a series of intermediate/outcome measures. Typical theories
of change involve only a single univariate outcome measure of
success, often discrete. Point prevalence smoking cessation (Velicer,
Prochaska, Rossi, & Snow, 1992) is an example from smoking
cessation research. Such measures have low power, i. e., a limited
ability to detect change. They are also not sensitive to change over
all the possible stage transitions. For example, point prevalence
for smoking cessation would be unable to detect an individual who
progresses from Precontemplation to Contemplation or from
Contemplation to Preparation or from Action to Maintenance. In
contrast, the Transtheoretical Model proposes a set of constructs
that form a multivariate outcome space and includes measures that
are sensitive to progress through all stages. These constructs
include the Pros and Cons from the Decisional Balance Scale,
Self-efficacy or Temptation, and the target behavior. A more
detailed presentation of this aspect to the model is provided
elsewhere (Velicer, Prochaska, Rossi, & DiClemente, 1996).
Decisional Balance.
The Decisional Balance construct reflects the individual's relative
weighing of the pros and cons of changing. It is derived from the
Janis and Mann's model of decision making (Janis and Mann, 1985)
that included four categories of pros (instrumental gains for self
and others and approval for self and others). The four categories of
cons were instrumental costs to self and others and disapproval from
self and others. However, an empirical test of the model resulted in
a much simpler structure. Only two factors, the Pros and Cons, were
found (Velicer, DiClemente, Prochaska, & Brandenberg, 1985). In
a long series of studies (Prochaska, et al. 1994), this much simpler
structure has always been found.
The Decisional Balance scale
involves weighting the importance of the Pros and Cons. A
predictable pattern has been observed of how the Pros and Cons
relate to the stages of change. Figure 2 illustrates this pattern
for smoking cessation. In Precontemplation, the Pros of smoking far
outweigh the Cons of smoking. In Contemplation, these two scales are
more equal. In the advanced stages, the Cons outweigh the Pros.

Figure 2. The Relationship
between Stage and the Decisional Balance for an Unhealthy Behavior
A different pattern has been
observed for the acquisition of healthy behaviors. Figure 3
illustrates this pattern for exercise. The patterns are similar
across the first three stages. However, for the last two stages, the
Pros of exercising remain high. This probably reflects the fact that
maintaining a program of regular exercise requires a continual
series of decisions while smoking eventually becomes irrelevant.
These two scales capture some of the cognitive changes that are
required for progress in the early stages of change.

Figure 3. The Relationship
between Stage and the Decisional Balance for a Healthy Behavior
Self-efficacy/Temptations.
The Self-efficacy construct represents the situation specific
confidence that people have that they can cope with high-risk
situations without relapsing to their unhealthy or high-risk habit.
This construct was adapted from Bandura's self-efficacy theory (Bandura,
1977, 1982). This construct is represented either by a Temptation
measure or a Self-efficacy construct.
The Situational Temptation Measure
(DiClemente, 1981, 1986; Velicer, DiClemente, Rossi, &
Prochaska, 1990) reflects the intensity of urges to engage in a
specific behavior when in the midst of difficult situations. It is,
in effect, the converse of self-efficacy and the same set of items
can be used to measure both, using different response formats. The
Situational Self-efficacy Measure reflects the confidence of the
individual not to engage in a specific behavior across a series of
difficult situations.
Both the Self-efficacy and
Temptation measures have the same structure (Velicer et al., 1990).
In our research we typically find three factors reflecting the most
common types of tempting situations: negative affect or emotional
distress, positive social situations, and craving. The
Temptation/Self-efficacy measures are particularly sensitive to the
changes that are involved in progress in the later stages and are
good predictors of relapse.
Self-efficacy can be represented by
a monotonically increasing function across the five stages.
Temptation is represented by a monotonically decreasing function
across the five stages. Figure 4 illustrates the relation between
stage and these two constructs.

Figure 4. The Relationship
between Stage and both Self-efficacy and Temptation
Independent Measures: How Change
Occurs
Processes of Change
are the covert and overt activities that people use to progress
through the stages. Processes of change provide important guides for
intervention programs, since the processes are the independent
variables that people need to apply, or be engaged in, to move from
stage to stage. Ten processes (Prochaska & DiClemente, 1983;
Prochaska, Velicer, DiClemente, & Fava, 1988) have received the
most empirical support in our research to date. The first five are
classified as Experiential Processes and are used primarily for the
early stage transitions. The last five are labeled Behavioral
Processes and are used primarily for later stage transitions. Table
1 provides a list of the processes with a sample item for each
process from smoking cessation as well as alternative labels.
I. Processes
of Change: Experiential
- Consciousness Raising
[Increasing awareness]
I recall information people had
given me on how to stop smoking
- Dramatic Relief [Emotional
arousal]
I react emotionally to warnings
about smoking cigarettes
- Environmental Reevaluation
[Social reappraisal]
I consider the view that smoking
can be harmful to the environment
- Social Liberation [Environmental
opportunities]
I find society changing in ways
that make it easier for the nonsmoker
- Self Reevaluation [Self
reappraisal]
My dependency on cigarettes makes
me feel disappointed in myself
II. Processes
of Change: Behavioral
- Stimulus Control
[Re-engineering]
I remove things from my home that
remind me of smoking
- Helping Relationship
[Supporting]
I have someone who listens when I
need to talk about my smoking
- Counter Conditioning
[Substituting]
I find that doing other things
with my hands is a good substitute for smoking
- Reinforcement Management
[Rewarding]
I reward myself when I dont
smoke
- Self Liberation [Committing]
I make commitments not to smoke
Table 1. The processes of change
with alternative labels and sample items from smoking cessation
Consciousness Raising
involves increased awareness about the causes, consequences and
cures for a particular problem behavior. Interventions that can
increase awareness include feedback, education, confrontation,
interpretation, bibliotherapy and media campaigns.
Dramatic Relief
initially produces increased emotional experiences followed by
reduced affect if appropriate action can be taken. Psychodrama, role
playing, grieving, personal testimonies and media campaigns are
examples of techniques that can move people emotionally.
Environmental Reevaluation
combines both affective and cognitive assessments of how the
presence or absence of a personal habit affects one's social
environment such as the effect of smoking on others. It can also
include the awareness that one can serve as a positive or negative
role model for others. Empathy training, documentaries, and family
interventions can lead to such re-assessments.
Social Liberation
requires an increase in social opportunities or alternatives
especially for people who are relatively deprived or oppressed.
Advocacy, empowerment procedures, and appropriate policies can
produce increased opportunities for minority health promotion, gay
health promotion, and health promotion for impoverished people.
These same procedures can also be used to help all people change
such as smoke-free zones, salad bars in school lunches, and easy
access to condoms and other contraceptives.
Self-reevaluation combines
both cognitive and affective assessments of one's self-image with
and without a particular unhealthy habit, such as one's image as a
couch potato or an active person. Value clarification, healthy role
models, and imagery are techniques that can move people evaluatively.
Stimulus Control
removes cues for unhealthy habits and adds prompts for healthier
alternatives. Avoidance, environmental re-engineering, and self-help
groups can provide stimuli that support change and reduce risks for
relapse. Planning parking lots with a two-minute walk to the office
and putting art displays in stairwells are examples of reengineering
that can encourage more exercise.
Helping Relationships
combine caring, trust, openness and acceptance as well as support
for the healthy behavior change. Rapport building, a therapeutic
alliance, counselor calls and buddy systems can be sources of social
support.
Counter Conditioning
requires the learning of healthier behaviors that can substitute for
problem behaviors. Relaxation can counter stress; assertion can
counter peer pressure; nicotine replacement can substitute for
cigarettes, and fat free foods can be safer substitutes.
Reinforcement Management
provides consequences for taking steps in a particular direction.
While reinforcement management can include the use of punishments,
we found that self-changers rely on rewards much more than
punishments. So reinforcements are emphasized, since a philosophy of
the stage model is to work in harmony with how people change
naturally. Contingency contracts, overt and covert reinforcements,
positive self-statements and group recognition are procedures for
increasing reinforcement and the probability that healthier
responses will be repeated.
Self-liberation is both the
belief that one can change and the commitment and recommitment to
act on that belief. New Year's resolutions, public testimonies, and
multiple rather than single choices can enhance self-liberation or
what the public calls willpower. Motivation research indicates that
people with two choices have greater commitment than people with one
choice; those with three choices have even greater commitment; four
choices does not further enhance will power. So with smokers, for
example, three excellent action choices they can be given are cold
turkey, nicotine fading and nicotine replacement.
For smoking cessation, each of the
processes is related to the stages of change by a curvilinear
function. Process use is at a minimum in Precontemplation, increases
over the middle stages, and then declines over the last stages. The
processes differ in the stage where use reaches a peak. Typically,
the experiential processes reach peak use early and the behavioral
processes reach peak use late. Figure 5 illustrates the relation of
process to stage for two processes, Consciousness Raising and
Stimulus Control, exemplars of experiential and behavioral
processes, respectively.

Figure 5. The Relationship
between Stage and two sample Processes, Consciousness Raising and
Stimulus Control
Summary
The Transtheoretical Model has
general implications for all aspects of intervention development and
implementation. We will briefly describe how it impacts on five
areas: recruitment, retention, progress, process, and outcome.
The Transtheoretical Model is an
appropriate model for the recruitment of an entire
population. Traditional interventions often assume that individuals
are ready for an immediate and permanent behavior change. The
recruitment strategies reflect that assumption and, as a result,
only a very small proportion of the population participates. In
contrast, the Transtheoretical Model makes no assumption about how
ready individuals are to change. It recognizes that different
individuals will be in different stages and that appropriate
interventions must be developed for everyone. As a result, very high
participation rates have been achieved.
The Transtheoretical Model can
result in high retention rates. Traditional interventions
often have very high dropout rates. Participants find that there is
a mismatch between their needs and readiness and the intervention
program. Since the program is not fitting their needs, they quickly
dropout. In contrast, the Transtheoretical Model is designed to
develop interventions that are matched to the specific needs of the
individual. Since the interventions are individualized to their
needs, people much less frequently drop out because of inappropriate
demand characteristics.
The Transtheoretical Model can
provide sensitive measures of progress. Action oriented
programs typically use a single, often discrete, measure of outcome.
Any progress that does not reach criterion is not recognized. This
is particularly a problem in the early stages where progress
typically does not involve easily observed changes in overt patterns
of behavior. In contrast, the Transtheoretical Model includes a set
of outcome measures that are sensitive to a full range of cognitive,
emotional, and behavioral changes and recognize and reinforce
smaller steps than traditional action-oriented approaches.
The Transtheoretical Model can
facilitate an analysis of the mediational mechanisms.
Interventions are likely to be differentially effective. Given the
multiple constructs and clearly defined relationships, the model can
facilitate a process analysis and guide the modification and
improvement of the intervention. For example, an analysis of the
patterns of transition from one stage to another can determine if
the intervention was more successful with individuals in one stage
and not with individuals in another stage. Likewise, an analysis of
process use can determine if the interventions were more successful
in activating the use of some processes.
The Transtheoretical Model can
support a more appropriate assessment of outcome.
Interventions should be evaluated in terms of their impact, i.e.,
the recruitment rate times the efficacy. For example, a smoking
cessation intervention could have a very high efficacy rate but a
very low recruitment rate. This otherwise effective intervention
would have very little impact on smoking rates in the population. In
contrast, an intervention that is less effective but has a very high
recruitment rate could have an important impact on smoking rates in
the population. Interventions based on the Transtheoretical Model
have the potential to have both a high efficacy and a high
recruitment rate, thus dramatically increasing our potential impact
on entire populations of individuals with behavioral health risks.
References
Bandura, A. (1977). Self-efficacy:
Toward a unifying theory of behavior change. Psychological Review,
84, 191-215.
Bandura, A. (1982). Self-efficacy
mechanism in human agency. American Psychologist, 37,
122-147.
Bollen, K. A. (1989). A new
incremental fit index for general structural equation models. Sociological
Methods of Research, 17, 303-316.
Botelho, R. J., Velicer, W. F.,
& Prochaska, J. O. (1998). Expert systems for motivating
health behavior change: II. Evaluating the future prospects for
dissemination. Manuscript under review.
Cohen, J. (1977). Statistical
power analysis for the behavioral sciences (rev ed.). New York:
Academic Press.
Cronbach, L. J., (1951).
Coefficient alpha and the internal structure of tests. Psychometrika,
16, 297-334.
DiClemente, CC (1981).
Self-efficacy and smoking cessation maintenance: A preliminary
report. Cognitive Therapy and Research, 5, 175-187.
DiClemente, CC (1986).
Self-efficacy and the addictive behaviors. Journal of Social and
Clinical Psychology, 4, 302-315.
DiClemente, C. C., Prochaska, J.
O., Fairhurst, S., Velicer, W. F., Rossi, J. S., &
Velasquez, M. (1991). The process of smoking cessation: An analysis
of precontemplation, contemplation and contemplation/action. Journal
of Consulting and Clinical Psychology, 59,
295-304.
Etter, J-F, Perneger, T. V., &
Ronchi, A. (1997). Distributions of smokers by stage: International
comparison and association with smoking prevalence. Preventive
Medicine, 26, 580-585.
Fava, J. L., Norman, G. J.,
Redding, C. A., Keller, S., Robbins, M. L., Maddock, J. E., Evers,
K. & Dewart, S. (1997). The Multidimensional Stress Management
Behaviors Inventory. Stress Management Working Group, Cancer
Prevention Research Center, University of Rhode Island, Kingston,
RI.
Fava, J. L., Norman, G. J.,
Redding, C. A., Levesque, D. A., Evers, K., & Johnson, S.
(1998). A Processes of Change Measure for Stress Management.
Paper presented at the Nineteenth Annual Scientific Sessions of the
Society of Behavioral Medicine, New Orleans, March.
Fava, J. L., Norman, G. J.,
Levesque, D. A., Redding, C. A., Johnson, S., Evers, K., &
Reich, T. (1998) Measuring Decisional Balance for Stress
Management. Paper presented at the Nineteenth Annual Scientific
Sessions of the Society of Behavioral Medicine, New Orleans, March.
Fava, J. L., Ruggiero, L., &
Grimley, D. M. (in press). The development and structural
confirmation of the Rhode Island Stress and Coping Inventory. Journal
of Behavioral Medicine, 00, 000-000.
Fava, JL, Velicer, WF, &
Prochaska, JO. (1995). Applying the Transtheoretical Model to a
representative sample of smokers. Addictive Behaviors, 20,
189-203.
Fiore, M. C., Smith, S. S., Jorenby,
D. E., & Baker, T. B. (1994). The effectiveness of the nicotine
patch for smoking cessation: A meta-analysis. Journal of the
American Medical Association, 271, 1940-1947.
Flay, B. R. (1985). Psychosocial
approaches to smoking prevention: A review of findings. Health
Psychology, 4, 449-488.
Jackson, D. N. (1970). A sequential
system for personality scale development. In CD Spielberger, (ed.),
Current topics in community and clinical psychology, Vol. 2.
Orlando, FL: Academic Press, pp. 61-96.
Jackson, D. N. (1971). The dynamics
of structured personality tests. Psychological Review, 78,
229-248.
Janis, I. L., & Mann, L.
(1977). Decision making: A psychological analysis of conflict,
choice and commitment. New York: Free Press.
Johnson, S. S., Norman, G. J.,
& Fava, J. L. (1998). Are Subjects in Maintenance for Stress
Management at Risk for Relapse? Paper presented at the
Nineteenth Annual Scientific Sessions of the Society of Behavioral
Medicine, New Orleans, March.
Jöreskog, K. C., & Sörbom, D.
(1989). LISREL 7: A guide to the program and applications.
(2nd ed.). Chicago: SPSS Inc.
Kohut, F.J., Berkman, L.F., Evans,
D. A., & Cornoni-Huntley, J. (1993) Two shorter forms of the CES-D
Depression Symptoms Index. Journal of Aging and Health, 5,
179-193.
Lazarus, R. S. (1966). Psychological
stress and the coping process. New York: McGraw-Hill Book Co.
Lazarus, R. S., & Folkman, S.
(1984). Stress, appraisal and coping. New York: Springer
Publishing Co.
Leventhal, H. & Cleary, P. D.
(1980). The smoking problem: A review of the research and theory in
behavioral risk modification. Psychological Bulletin, 88,
370-405.
Norman, G. J., Fava, J. L.,
Levesque, D. A., Redding, C. A., Johnson, S., Evers, K., &
Reich, T. (1997). An Inventory for Measuring Confidence to Manage
Stress. Annals of Behavioral Medicine, 19 (supplement),
78.
Prochaska, J. O. (1994). Strong and
weak principles for progressing from precontemplation to action on
the basis of twelve problem behaviors. Health Psychology, 13,
47-51.
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.
Prochaska, J.O., DiClemente, C.C.,
Velicer, W.F., Ginpil, S., & Norcross, J.C. (l985). Predicting
change in status for self-changers. Addictive Behaviors,
l0, 395-406.
Prochaska, J. O., DiClemente, C.
C., & Norcross, J. C. (1992). In search of how people change:
Applications to addictive behavior. American Psychologist, 47,
1102-1114.
Prochaska, J. O., DiClemente, C.
C., Velicer, W. F., & Rossi, J. S. (1993). Standardized,
individualized, interactive and personalized self-help programs for
smoking cessation. Health Psychology, 12,
399-405.
Prochaska, J. O., & Velicer,
W.F. (1997). The Transtheoretical Model of health behavior change. American
Journal of Health Promotion, 12, 38-48.
Prochaska, J. O., Velicer, W. F.,
DiClemente, C. C., & Fava, J. L. (1988). Measuring the processes
of change: Applications to the cessation of smoking. Journal of
Consulting and Clinical Psychology, 56,
520-528.
Prochaska, J.O., Velicer, W.F.,
DiClemente, C.C., Guadagnoli, E., & Rossi, J. (1991). Patterns
of Change: A dynamic typology applied to smoking cessation. Multivariate
Behavioral Research, 26, 83-107.
Prochaska, J. O., Velicer, W. F.,
Fava, J.L., Rossi, J. S., & Tsoh, J. (1998a). A stage-matched
expert system intervention for a total population of smokers.
Manuscript under review.
Prochaska, J. O., Velicer, W. F.,
Fava, J. L., Ruggiero, L., Laforge, R. G., & Rossi, J. S.
(1998b). Counselor and stimulus control enhancements of a
stage-matched expert system intervention for smokers in a managed
care setting. Manuscript under review.
Prochaska, J. O., Velicer, W. F.,
Rossi, J. S., Goldstein, M. G., Marcus, B. H., Rakowski, W., Fiore,
C., Harlow, L. L., Redding, C. A., Rosenbloom, D., & Rossi, S.
R. (1994). Stages of change and decisional balance for 12 problem
behaviors. Health Psychology, 13, 39-46.
Robbins, M. L., Fava, J. L.,
Norman, G. J., Velicer, W. F., Redding, C., & Levesque, D. B.
(1998). Stages of Change for Stress Management in Three Samples.
Paper presented at the Nineteenth Annual Scientific Sessions of the
Society of Behavioral Medicine, New Orleans, March.
Stewart, A. L., Hays, R. D., &
Ware, J. E., Jr. (1988). The MOS short-form general health survey:
Reliability and validity in a patient population. Medical Care,
26, 724-735.
Susser, M., & Susser, E.
(1996). Choosing a future for epidemiology: II Eras and paradigms. American
Journal of Public Health, 86, 668-673.
Tucker, L. R., & Lewis, C.
(1973). A reliability coefficient for maximum likelihood factor
analysis. Psychometrika, 38, 1-10.
Veit, C. T., & Ware, J. E., Jr.
(1983). The structure of psychological distress and well-being in
general populations. Journal of Consulting and Clinical
Psychology, 51, 730-742.
Velicer, WF, Botelho, RJ, &
Prochaska, JO. (1998). Expert systems for motivating health
behavior change: I. Methods, applications, and outcome studies.
Manuscript under review, 1997.
Velicer, W. F., DiClemente, C. C.,
Prochaska, J. O., & Brandenberg, N. (1985). A decisional balance
measure for assessing and predicting smoking status. Journal of
Personality and Social Psychology, 48,
1279-1289.
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.
Velicer, W. F., Fava, J. L.
Prochaska, J. O., Abrams, D. B., Emmons, K. M., & Pierce, J.
(1995). Distribution of smokers by stage in three representative
samples. Preventive Medicine, 24: 401-411.
Velicer, W.F., Laforge, R.G.,
Levesque, D. A., & Fava, J.L. (1994). The development and
initial validation of the Smoking Policy Inventory. Tobacco Control,
3, 347-355.
Velicer, W.F., & Prochaska, J.
O. (in press). An expert system intervention for smoking cessation. Patient
Education and Counseling, 00, 00-00.
Velicer, W. F., Prochaska, J. O.,
Bellis, J. M., DiClemente, C. C., Rossi, J. S., Fava, J. L., &
Steiger, J. H. (1993). An expert system intervention for smoking
cessation. Addictive Behaviors, 18: 269-290.
Velicer, W.F., Prochaska, J.O.,
Rossi, J., & DiClemente, C.C. (1996). A criterion measurement
model for addictive behaviors. Addictive Behaviors, 21:
555-584.
Velicer, WF, Prochaska, JO, Rossi,
JS, & Snow, M. (1992). Assessing outcome in smoking cessation
studies. Psychological Bulletin, 111, 23-41.
Velicer, W.F., Richmond, R.,
Greeley, J., Swift, W., & Redding, C.R. (1992). A time series
investigation of three nicotine regulation models. Addictive Behaviors,
17, 325-345.
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. Baltimore: Williams & Wilkins, (pp. 69-92).
Velicer, WF, Prochaska, JO, Fava,
JL, Laforge, RG, & Rossi, JS. (in press). Interactive versus
non-interactive interventions and dose-response relationships for
stage-matched smoking cessation programs in a managed care setting. Health
Psychology, 00, 000-000.
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