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The primary goal of the Data Core is to support and strengthen transdisciplinary research at Duke University on the prevention of adolescent drug use. The Data Core provides resources and expertise that contribute to developing, executing, analyzing, and publishing prevention research. This research is focused on peer influence at three levels of analysis: intrapersonal, interpersonal, and institutional. At each level of analysis, specific sampling, design, data management and statistical analysis concerns are salient. Members of the Data Core consult and, when appropriate, collaborate with Center investigators to ensure that these concerns are addressed in a rigorous and innovative manner.
GOALS
The activities of Data Core Members are motivated by four specific aims:
- Goal 1 : Provide leadership on the application of rigorous and innovative statistical methods in Center research.
- Goal 2 : Provide data warehousing support that includes the establishment of standards and consultation with Center investigators regarding data management; storage and retrieval of electronic data; and quality control and assurance of electronic data.
- Goal 3 : Promote collaborations between basic and applied researchers in the Center and Data Core members.
- Goal 4 : Provide training opportunities in data acquisition, data management, and data analysis for Center investigators.
ONGOING ASSISTANCE
Core members work together on efforts to develop documentation standards in order to maintain a consistent protocol across TPRC studies. Protocols include: analysis agreements, documentation guidelines, data use agreements, confidentiality agreements and data safety and monitoring plans.
Services:
Data Acquisition Services:
• Facilitating interaction with key personnel in local schools
• Reviewing protocols submitted to Institutional Review Boards
• Reviewing Human Subjects sections of grant applications
• Developing sampling designs and strategies
• Locating and / or designing measures
• Locating and acquiring archived data sets
Data Management Services
• Establishing procedures for data entry and validity checking
• Developing data safety and monitoring plans
• Developing strategies to ensure respondent privacy
• Securely archiving extant data
• Designing codebooks and other documentation
• Developing procedures for matching data sets from varied sources
• Programming in SAS and selected data base software.
Data Analysis Services
• Consulting on research design, including factorial, longitudinal and multilevel designs.
• Determining sample size needs and evaluating statistical power.
• Helping investigators plan for multiple operational definitions of key constructs and assisting in the selection of measurement strategies in order to allow method and construct variance to be disentangled.
• Reviewing and possibly collaborating on grant proposals and manuscripts
• Consulting on statistical analyses
• Programming in SAS, MPlus, HLM and EQS
PROJECTS
Social Networking Data:
Members of the Data Core investigate new strategies for examining social networking data. Through this work, members of the Data Core contribute to larger academic discussions of how to best measure social networks. This has included:
• Comparing methods for social network analysis (Malone, Killeya-Jones, Costanzo, Marcus & Fink, 2005)
• Co-facilitating a discussion on social network methodology at a national peer relations pre-conference focusing on peer relations (Bagwell, Gest & Malone, 2005)
• Co-organizing (with Scott Gest, Wayne Osgood, James Moody and Tom Dishion) a follow-up conference on social network analysis and problem behaviors (Applications of Social Network Analysis to the Prevention of Substance Use & Deliquency, November 11, 2005, Pennsylvania State University.
One research project utilizing this analysis style is examining to test the role of patterns of belief in networks as mediators of the effects of different risk and protective factors on multiple substances and polydrug use.
Youth Risk Behavior Survey:
The North Carolina Educational Research Data Center has acquired and made available the Youth Risk Behavior Survey (YRBS) to TPRC investigators. The YRBS is produced by the Centers for Disease Control and Prevention and is intended to assess health risk behaviors of children and adolescents.
Wisconsin Study of Families and Work:
The Data Core, through a supplemental award to the TPRC, has established a partnership with the University of Wisconsin 's Wisconsin Maternity Leave and Health Project / Wisconsin Study of Families and Work (WMLHP / WSFW). The WMLHP/ WSFW data set includes 570 mothers who were recruited in 1990–1991 from Milwaukee and Madison, WI .
These mothers, along with fathers, other providers, teachers and children have been studied over 13 waves (from prior to birth through age 15).
Data include information on the child's mental health, social and school functioning, infant and child temperament, and additional child characteristics. Additionally, information was collected on parental personality characteristics, family context and demographics. The Data Core has assisted TPRC members by compiling thousands of pages of documentation from the Wisconsin group into 10-20 page documents on each of the data sets. These large, rich data sets have contributed to a number of manuscripts and grant applications from TPRC investigators. One example of the Core's invaluable contributions in this regard is that the local availability of the WSFW dataset is allowing TPRC investigators to design studies that will use some of the same measures and constructs, providing critical evidence for the generalizability of both studies' findings.
Representative Trainings from Data Core Members
- “Introduction to Multilevel modeling” by Chongming Yang in November, 2007
- “Psychometric Scales: Development and Evaluation” by Chongming Yang in September, 2007
- “Research Ethics and IRB Orientation” by Clara Muschkin (held every Fall and Spring since September 2004)
- “IRB Re-Certification” by Clara Muschkin (held every fall since October 2004)
- “A Casual Overview of Structural Equation Modeling” by Pat Malone in January, 2004
- “Introduction to Structural Equation Modeling” by Rick Hoyle in March 2007.
- “Introduction to Using Stata” by Beth Gifford in March 2006 and February 2007.
- “Introduction to SAS” by Lorrie Schmid in October 2006.
- “Introduction to Mplus” by Chongming Yang in March 2007
- “Creating Scan Forms Using Teleforms” by Jolynn Pek in August 2006.
A series of training sessions for undergraduate interns including: Survey Construction & Measurement Issues; Research Ethics; Data Management Procedures; Secondary Data Analysis; Statistical Software Packages; Spatial Analysis of Data; Peer Clique Data Analysis
PEOPLE
Rick Hoyle, Ph.D., Director, Professor of Psychology and Neuroscience
Chongming Yang, Ph.D., Consultant
Anne Fletcher, Data Librarian
Lorrie Schmid, M.A., Data Manager/Analyst
Adam Mack, B.A., Data Technician
PUBLICATIONS
Hoyle, R. H. (2005). Applications of structural equation modelling in clinical and health psychology research. In J. Miles & P. Gilbert (Eds.), A handbook of research methods for clinical and health psychology (pp. 261-278). New York : Oxford University Press. [abstract]
Hoyle, R. H. (2007). Applications of structural equation modeling in personality research. In R. Robins, C. Fraley, & R. Krueger (Eds.), Handbook of research methods in personality psychology (pp. 444-460). New York : Guilford Publications.
Hoyle, R. H. (2004). Confirmatory factor analysis. In M. Lewis-Beck, A. Bryman, & T. Liao (Eds.), Encyclopedia of social science research methods (Vol. 1, pp. 169-175). Thousand Oaks, CA: Sage Publications.
Hoyle, R. H. (2005). Design and analysis of experimental research on groups. In S. A. Wheelan (Ed.), Handbook of group research and practice (pp. 223-239). Thousand Oaks, CA: Sage Publications.
Hoyle, R. H. (2007). Latent variable modeling in social research. In P. Alasuuta, J. Brannen, & L. Bickman (Eds.), Handbook of social research methods (pp. 395-413). London, UK: Sage Publications.
Hoyle, R. H. (2006). Personality and self-regulation: Trait and information-processing perspectives. Journal of Personality, 74, 1507-1525. [abstract]
Hoyle, R. H. (2008). Structural equation modeling in abnormal and clinical psychology research. In D. McKay (Ed.), Handbook of research methods in abnormal and clinical psychology (pp. 235-252). Thousand Oaks, CA: Sage Publications.
Hoyle, R. H., & Duvall, J. L. (2004). Determining the number of factors in exploratory and confirmatory factor analysis. In D. Kaplan (Ed.), Handbook of quantitative methodology for the social sciences (pp. 301-315). Thousand Oaks, CA: Sage Publications.
Hoyle, R. H., Ouellette, S., & Harris, M. J. (forthcoming). Research methods in social relations (8th ed). Pacific Grove, CA: Wadsworth Publishing.
Hoyle, R. H., & Robinson, J. I. (2003). Mediated and moderated effects in social psychological research: Measurement, design, and analysis issues. In C. Sansone, C. Morf, & A. T. Panter (Eds.), Handbook of methods in social psychology (pp. 213-233). Thousand Oaks, CA: Sage Publications.
Hoyle, R. H., & Sherrill, M. R. (2006). Future orientation in the self-system: Possible selves, self-regulation, and behavior. Journal of Personality, 74 , 1673-1696. [abstract]
Lynam, D. R., Hoyle, R. H., & Newman, J. P. (2006). The perils of partialling: Cautionary tales from aggression and psychopathy. Assessment, 13, 328-341.
Morgan, S. E., Palmgreen, P., Stephenson, M. T., Hoyle, R. H., & Lorch, E. P. (2003). Associations between message features and subjective evaluations of the sensation value of anti-drug public service announcements. Journal of Communication, 53, 512-526.
Palmgreen, P. C., Lorch, E. P., Stephenson, M. T., Hoyle, R. H, & Donohew, L. R. (2007). Effects of ONDCP's marijuana initiative campaign on high sensation-seeking youth. American Journal of Public Health, 97 (5).
Rabiner, D. L., Anastopoulos, A. D., Costello, J., Hoyle, R. H., & Swartzwelder, H. S. (in press). Adjustment to College in Students with ADHD. Journal of Attention Disorders.
Stephenson, M. T., Hoyle, R. H., Palmgreen, P., & Slater, M. D. (2003). Brief measures of sensation seeking for screening and large-scale surveys. Drug and Alcohol Dependence, 72, 279-286.
Stephenson, M. T., Velez, L. F., Chalela, P., Ramirez, A., & Hoyle, R. H. (2007). The reliability and validity of the Brief Sensation Seeking Scale (BSSS-8) with young adult Latino workers: Implications for tobacco and alcohol disparity research. Addiction, 102 (Suppl. 2), 79–91.
INVITED TALKS
Hoyle, R. H. (2007, April). Issues in the analysis of data from measurement-of-mediation designs . Invited talk, Quantitative Methodology Lunch Series, Department of Psychology, University of Virginia.
Hoyle, R. H. (2006, October). Statistical modeling of indirect effects: Obstacles to valid inference. Invited talk, Department of Psychology and Neuroscience, Duke University.
Malone, P. S. (2007, March). Recent methods for evaluating measurement: Factor mixture analysis of a measure of adolescent cognitions about alcohol. Invited talk, University of South Carolina.
CONFERENCE PRESENTATIONS
Costanzo, P., Malone, P., Killeya-Jones, L., & Miller-Johnson, S. (2006, May). Compared to my friends, I'm not so bad: Self- and other- perceived deviance in early adolescent same-sex and mixed-sex cliques. Presented at the annual meeting of the Society for Prevention Research, San Antonio, TX.
Foster, K., Putallaz, M., Schmid, L., Golonka, M., & Grimes, C. (2006, May ). A Whole New World Of Friends: The Influence Of Instant Messenger On Peer Relations. Presented at the annual meeting of the Society for Prevention Research, San Antonio , TX.
Franzese, A. T., Sherrill, M. R., Hoyle, R. H., & Strauman, T. J. (2005, May). Regulatory focus and adolescent substance use. Paper presented at the 13th Annual Meeting of the Society for Prevention Research, Washington, DC.
Hoyle, R. H., Duvall, J. L., & Karamehic, A. (2004, May). Synergistic effects of impulsivity and sensation seeking on adolescent substance use. Paper presented at the 12th Annual Meeting of the Society for Prevention Research, Québec City, Canada.
Killeya-Jones, L., Costanzo, P., Malone, P., & Schmid, L. (2006, March). School-Based Peer Relationships and Alcohol Use Among African-American and European-American Early Adolescents. Presented at the biennial meeting of the Society for Research on Adolescence, San Francisco , CA .
Killeya-Jones, L., Malone, P., Golonka, M., & Costanzo, P. (2005, May). Involvement with delinquent peers and alcohol use. Presented at the annual meeting of the Society for Prevention Research, Washington , DC .
Krumholz, L. S., Sherrill, M. R., Franzese, A. T., Hoyle, R. H., Strauman, T. J., Lekwauwa, R. E., Clark, L. F., & Arrington, K. (2005, August). A theory-based intervention for adolescent substance use: Adult Identity Mentoring. Paper presented at the 113th Annual Convention of the American Psychological Association, Washington, DC.
Malone, P., Hoyle, R., & Brewster, A. (2006, May). Reasons for substance use: Associations with peer use. Paper presented at the 14th Annual Meeting of the Society for Prevention Research, San Antonio, TX. [abstract]
Malone, P. S., Killeya-Jones, L., Costanzo, P. R., Marcus, S. R., & Fink, E. (2005, April). Comparison of two methods to assess peer group structure. Paper presented at the Biennial Meeting of the Society for Research on Child Development, Atlanta, GA. [abstract]
Muschkin, C. G. & Glennie, E. J. (2005, April). Peer effects of retention and old for grade students on adolescent problem behaviors. Paper presented to the Southern Sociological Society Meetings, Charlotte, NC .
Muschkin, C., Glennie, E. & Beck, A. (2006, April). Influence of Old-for-grade and Retained Peers on Disciplinary Infractions and Suspensions in Middle School . Presented at the annual American Educational Research Association meeting, San Francisco, CA. [abstract]
Palmgreen, P. C., Lorch, E. P., Donohew, L. R., Stephenson, M. T., & Hoyle, R. H. (2006, November). Effects of ONDCP's marijuana initiative campaign on high sensation-seeking youth. Paper presented at the 134th Annual Meeting of the America Association of Public Health, Boston, MA.
Zielinski, D., Malone, P., Polanichka, N., & Mack, A. (2005, May). Adolescent social visibility and its relationship to substance use: Implications for prevention research. Presented at the annual meeting of the Society for Prevention Research, Washington, DC. [abstract]
For additional information about the Data Core, please contact Lorrie Schmid at schmid@duke.edu.
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