Research Topics
| John W GrahamSummaryAffiliation: Pennsylvania State University Country: USA Publications
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Detail Information
Publications
Missing data analysis: making it work in the real worldJohn W Graham
Department of Biobehavioral Health and the Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
Annu Rev Psychol 60:549-76. 2009..Suggestions are given for moving forward with research on missing data and attrition...
Planned missing data designs in psychological researchJohn W Graham
The Methodology Center, Pennsylvania State University, University Park, PA 16802, USA
Psychol Methods 11:323-43. 2006..With a large cost differential between cheap and expensive measures and small effect sizes, the benefits of the design can be enormous. Strategies for using these 2 designs are suggested...
How many imputations are really needed? Some practical clarifications of multiple imputation theoryJohn W Graham
Department of Biobehavioral Health, Penn State University, E 315 Health and Human Development Bldg, University Park, PA 16802, USA
Prev Sci 8:206-13. 2007..These recommendations are based on gamma, and take into consideration one's tolerance for a preventable power falloff (compared to FIML) due to using too few imputations...
Preventing alcohol-related harm in college students: Alcohol-related Harm Prevention program effects on hypothesized mediating variablesJ W Graham
Department of Biobehavioral Health, Pennsylvania State University, University Park, PA 16802, USA
Health Educ Res 19:71-84. 2004..The program was received very well by students and showed significant effects on the proximal outcomes hypothesized to mediate more distal health-relevant outcomes...
Substance use and sexual risk prevention in Cape Town, South Africa: an evaluation of the HealthWise programEdward A Smith
Pennsylvania State University, State College, PA, USA
Prev Sci 9:311-21. 2008..These results suggest that HealthWise is a promising approach to reducing multiple health risk behaviors among the population of school-going South African adolescents...
Adapting school-based substance use prevention curriculum through cultural grounding: a review and exemplar of adaptation processes for rural schoolsMargaret Colby
Penn State University, 501 Keller Building, University Park, PA 16802, USA
Am J Community Psychol 51:190-205. 2013..We argue that adaptation processes like those presented should be incorporated into the design and dissemination of prevention interventions...
Perceived exposure to peer and adult drinking as predictors of growth in positive alcohol expectancies during adolescenceP E Cumsille
Methodology Center, Pennsylvania State University, University Park 16802, USA
J Consult Clin Psychol 68:531-6. 2000..These effects were particularly strong between Grades 5 and 7, suggesting the need for early intervention aimed to prevent the increase in positive alcohol expectancies...
Rates of missing responses in personal digital assistant (PDA) versus paper assessmentsLori Ann Palen
Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USA
Eval Rev 32:257-72. 2008..Certain analyses also suggest that paper assessments have higher rates of missingness for items pertaining to participants' sexual behavior. Implications of these results for evaluation research will be discussed...
Associations between maternal closeness, suicidal ideation, and risk behaviors in Cape TownTamika D Gilreath
Dept of Biobehavorial Health, Pennsylvania State University, University Park, PA 16802, USA
Eur Child Adolesc Psychiatry 18:174-9. 2009....
The drug resistance strategies intervention: program effects on substance useMichael L Hecht
Department of Communication Arts and Sciences, The Pennsylvania State University, University Park 16802, USA
Health Commun 20:267-76. 2006....
Construct validity in health behavior research: interpreting latent variable models involving self-report and objective measuresRaymond F Palmer
Department of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania 16802, USA
J Behav Med 25:525-50. 2002....
Data quality in evaluation of an alcohol-related harm prevention programJohn W Graham
Department of Biobehavioral Health, East 315 Health and Human Development Building, Penn State University, University Park, PA 16802, USA
Eval Rev 26:147-89. 2002..Results indicate 23 of the 27 composite scales had at least acceptable reliability, and the remaining 4 composite scales had at least marginally acceptable reliability. At least moderate construct validity was demonstrated for 25 scales...
Describing teacher-student interactions: a qualitative assessment of teacher implementation of the 7th grade keepin' it REAL substance use interventionJonathan Pettigrew
Penn State University, University Park, PA, USA
Am J Community Psychol 51:43-56. 2013..Findings provide a descriptive basis grounded in observation of classroom implementation that can be used to test models of implementation fidelity and quality as well as impact training and other dissemination research...
Missing data: our view of the state of the artJoseph L Schafer
Department of Statistics and The Methodology Center, Pennsylvania State University, University Park 16802, USA
Psychol Methods 7:147-77. 2002..Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art...
The effect of the timing and spacing of observations in longitudinal studies of tobacco and other drug use: temporal design considerationsLinda M Collins
Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USA
Drug Alcohol Depend 68:S85-96. 2002..More information is needed to help guide researchers in their choice of temporal design...
The accuracy of artificial neural networks in predicting long-term outcome after traumatic brain injuryMary E Segal
Research Center for Health Care Decision making, Inc, Wyndmoor, PA 19038, USA
J Head Trauma Rehabil 21:298-314. 2006..This study compared the accuracy of artificial neural networks to multiple regression and classification and regression trees in predicting outcomes of 1,644 patients in the Traumatic Brain Injury Model Systems database 1 year after injury...
