Research

 

Tom Valente Ph.D.I conduct research on substance abuse prevention, treatment programs, and on the evaluation of health promotion programs. My two main research interests are network analysis and the study of social influence through social networks and program evaluation.  I received a B.S. in mathematics from Mary Washington College, an M.S. in mass communication from San Diego State University, and a Ph.D. from the Annenberg School for Communication at the University of Southern California.  I spent nine years at the Johns Hopkins University School of Public Health from 1991 to 2000 conducting research and teaching health communication, program evaluation, and network analysis.

For a copy of my CV, please click here.

 


Evaluating Health Promotion Programs

Evaluating 

Health 

Promotion Programs

Evaluating Health Promotion programs is a comprehensive guide to the frameworks, theories, methods, procedures, and techniques used to evaluate health promotion programs.  The book covers every aspect of the research and evaluation activities needed to conduct an evaluation including formative, process, and summative research.  Particular attention is paid to data collection, management, analysis, and interpretation of findings with empirical examples.  

 

For additional materials

 

Labs (download all)

Class Exercises (download all)

  1. Theory in Program Evaluation
  2. FGDs
  3. Study Designs
  4. Sample Sizes I
  5. Sample Sizes II
  6. Questionnaire Construction
  7. Factor Analysis
  8. Statistical Analysis I
  9. Statistical Analysis II
  10. Lagged Analysis
  11. Regression
  [link to dataset download]  


Network Models of the Duffusion of Innovations
Network 

Analysis  

Network analysis is a set of techniques used to study who is connected to whom in a community.  It is often used to measure the communication structure for individuals, groups, organizations and communities.  My particular interest is in how networks can be used to study health behavior.  I wrote a book, Network Models of the Diffusion of Innovations that describes how networks structure the flow of information and adoption behavior  

 

 

[link to Amazon.com to buy book]  

 

I have a strong interest in using networks to accelerate diffusion.  

For a brief overview of the network diffusion model see [link to Netdif]

For a more academic treatment see [link to article in AAPSS]


PUBLICATIONS

BOOKS-PEER REVIEWED

•  Valente, T. W . (2002). Evaluating Health Promotion Programs . Oxford University Press.

•  Valente, T. W. (1995). Network models of the diffusion of innovations . Cresskill , NJ : Hampton Press.


JOURNAL ARTICLES-PEER REVIEWED


BOOK CHAPTERS

•  Valente, T. W. (In press). Models and methods for innovation diffusion. In P. J. Carrington, J. Scott, & S. Wasserman (Eds.) Models and Methods in Social Network Analysis . Cambridge , UK : Cambridge University Press.

•  Valente, T. W., & Schuster, D. V. (2002). The public health perspective for communicating environmental issues. T. Dietz & P. Stern (Eds.) The Human Dimensions of Global Change . Washington DC : National Academy Press.

•  Valente, T. W. (2001). Evaluating communication campaigns. In R. E. Rice & C. K. Atkin (Eds.) Public Communication Campaigns (3 rd Ed.) . Newbury Park , CA : Sage.

•  Valente, T. W . (2000). Social network and mass media factors that influence the diffusion of CAM . In B. Wellman & M. Kelner (Eds.) Complementary and Alternative Medicine . London , UK : Gordon and Breach/Harwood.

•  Valente, T. W., & Bardini, T. (1995). Virtual diffusion or an uncertain reality: Networks, policy and models for the diffusion of VR technology. In F. Biocca & M. Levy (Eds.) Communication in the age of virtual reality , (pp. 303-322). Northvale , NJ : Lawrence Erlbaum Associates.

•  Rogers, E. M., & Valente, T. W. (1993). A History of information theory in communication research. In J. R. Schement & B. D. Ruben (Eds.) Information and behavior volume 4: Between communication and information . New Brunswick , NJ : Transaction.

•  Pentz, M. A., & Valente, T. W. (1993). Effects of community organization in a drug abuse prevention campaign. In T. Backer & E. M. Rogers (Eds.) Organizational Factors in Health Communication Campaigns . Newburry Park , CA : Sage.

•  Rogers, E. M., & Valente, T. W. (1991). Technology transfer in high-technology industries. In T. Agmon & M. A. Von Glinow (Eds.) Technology transfer in international business . New York : Oxford University Press.



LETTERS

•  Valente T. W. (2003). The diffusion of genetic testing. Editorial, Genetics in Medicine .

•  Valente, T. W. (1997). On Evaluating Mass Media's Impact. Studies in Family Planning , 28 , 170-171.

•  Valente, T. W. ( July 17, 1996 ). The Science of Sin. New Yorker .

 

VIDEO

Bolivia NRHP Mass Media Campaign (1994-1996) Video Files

Below find video files (in flash format) of the 1-minute commercials produced and disseminated as part of the Bolivia National Reproductive Health Program (NRHP) Mass Media Campaign. The program was created and produced by the Johns Hopkins University Center for Communication Programs (JHU/CCP; visit www.jhuccp.org)with funding from the US Agency for International Development. Evaluation of the program was documented by Valente in one preliminary findings report (Valente & Saba, 1996) and two published papers (Valente and Saba, 1998; 2001) and reported extensively in Valente (2002: Evaluating Health Promotion Programs Oxford University Press).

 

Diffusion of Innovations - Part 1

Diffusion of Innovations - Part 2

Diffusion of Innovations - Part 3

  PRESENTATIONS

Network Analysis: Using Connections and Structures to Understand and Change Health Behaviors

Program date and time:
Tuesday, June 12, 2007, 10:00:00 AM

Description:
The NIH Office of Behavioral and Social Sciences Research and CDC's Syndemics Prevention Network present Spring 2007 symposia series on Systems Science and Health

Katherine Faust, Ph.D.
Associate Professor
Department of Sociology
University of California, Irvine

Thomas Valente, Ph.D.
Associate Professor
Department of Preventive Medicine
University of Southern California

Runtime 120 minutes
Video: http://videocast.nih.gov/podcast/ss/ss061207/ss061207.m4v
Audio: http://videocast.nih.gov/podcast/ss/ss061207/ss061207.m4a

 

 Empirical Networks Project Data

 

Appendix E