Menu
Home
Log in / Register
 
Home arrow Engineering arrow Behavioral Intervention Research: Designing, Evaluating, and Implementing
Source

REFERENCES

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.

Breslau, N. (1985). Depressive symptoms, major depression, and generalized anxiety: A comparison of self-reports on CES-D and results from diagnostic interviews. Psychiatry Research, 15(3), 219-229.

Campbell, D. T., Stanley, J. C., & Gage, N. L. (1963). Experimental and quasi-experimental designs for research (pp. 171-246). Boston, MA: Houghton Mifflin.

Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2013). An introduction to latent variable growth curve modeling: Concepts, issues, and application. New York, NY: Routledge Academic.

Fairchild, A. J., & MacKinnon, D. P (2014). Using mediation and moderation analyses to enhance prevention research. In Z. Sloboda & H. Petras (Eds.), Defining prevention science (pp. 537-555). New York, NY: Springer.

Faul, F, Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175-191.

Gitlin, L. N., Roth, D. L., & Huang, J. (2014). Mediators of the impact of a home-based intervention (beat the blues) on depressive symptoms among older African Americans. Psychology and Aging, 29(3), 601-611.

Gupta, S. K. (2011). Intention-to-treat concept: A review. Perspectives in Clinical Research, 2(3), 109-112.

Imai, K., Tingley, D., & Yamamoto, T. (2013). Experimental designs for identifying causal mechanisms. Journal of the Royal Statistical Society: Series A (Statistics in Society), 176(1), 5-51.

Kenny, D. A., Bolger, N., & Kashy, D. A. (2002). Traditional methods for estimating multilevel models. In D. S. Moskowitz & S. L. Hershberger (Eds.), Modeling intraindividual variability with repeated measures data: Methods and applications (pp. 1-24). New York, NY: Psychology Press.

Little, R. J., & Rubin, D. B. (2014). Statistical analysis with missing data. Hoboken, NJ: Wiley

Little, R. J., & Yau, L. (1998). Statistical techniques for analyzing data from prevention trials: Treatment of no-shows using Rubin’s causal model. Psychological Methods, 3, 147-159.

MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychology, 51(1), 201-226.

Preacher, K. J., Rucker, D. D., & Hayes, A. E (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185-227.

Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385-401.

Rothwell, P M. (2005). External validity of randomised controlled trials: “To whom do the results of this trial apply?” The Lancet, 365(9453), 82-93.

Schaie, K. W (1988). Internal validity threats in studies of adult cognitive development. In M. L. Howe & C. J. Brainerd (Eds.), Cognitive development in adulthood: Progress in cognitive development research (pp. 241-272). New York: Springer-Verlag.

Schaie, K. W, Maitland, S. B., Willis, S. L., & Intrieri, R. C. (1998). Longitudinal invariance of adult psychometric ability factor structures across 7 years. Psychology and Aging, 13(1), 8-20.

Shadish, W R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Wadsworth Cengage Learning.

Trochim, W (2000). The research methods knowledge base (2nd ed.). Cincinnati, OH: Atomic Dog Publishing.

 
Source
Found a mistake? Please highlight the word and press Shift + Enter  
< Prev   CONTENTS   Next >
 
Subjects
Accounting
Business & Finance
Communication
Computer Science
Economics
Education
Engineering
Environment
Geography
Health
History
Language & Literature
Law
Management
Marketing
Mathematics
Political science
Philosophy
Psychology
Religion
Sociology
Travel