Browsing by Author "Smith, Matthew L."
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Item Adolescent Perceptions of Delinquent Behavior Based on Individual Smoking Status: Friends and Peers(2012-07-16) Thomsen, CortneyAdolescent social influence is a contributing factor to higher rates of delinquent behaviors such as tobacco use, alcohol abuse, illicit drug use, and sexual activity. The objective of this study is to assess how the distinction between the perception of two social groups, peer and friend, influences behavior based on individual smoking status. Data from the 2006 Adolescent Health Risk Behaviors Survey is used for secondary analysis using questions that address individual perception of delinquent behavior based on peer ("people your age") and friends. An independent samples t-test is used to assess the combined friend and peer perception based on lifetime smoking status (non-smokers and smokers). Next, a paired samples t-test using the significant variable of smokers only is used to measure the difference in perception of the social groups, peer vs. friend. The data indicated that there is a perceived difference between social groups behavior based on smoking status with smokers perceiving their peers to be more delinquent than their friends. There is a need for further research to address true prevalence rates in adolescent social groups and education efforts to focus on the dynamic of social interactions that influence delinquent behaviors.Item Instrumentation in Health Education and the Adolescent Health Risk Behavior Survey (AHRBS) Instrument(2010-01-14) Smith, Matthew L.This journal article format dissertation examined aspects of survey research methodology in health education. In the first study, the author examined articles published in Health Education and Behavior, Health Education Journal, Health Education Research, and International Electronic Journal of Health Education to assess if authors report survey instrument characteristics and results of psychometric property tests for data collected with survey instruments. In the second study, the author examined the validity and reliability of data collected from 1,992 Indiana middle and high school students with the Adolescent Health Risk Behavior Survey (AHRBS) instrument. The AHRBS instrument was created using the Biopsychosocial Model (BPSM) theoretical framework and investigates the relationships and influences of adolescents? intrapersonal and normative perceptions on alcohol, tobacco, and other drug (ATOD) use. In the third study, the author used reliable measures for the data to conduct mediation analyses to examine the effects of adolescent perceptions of their social environment, such as perceived peer disapproval, perceived parental disapproval, and perceived peer behavior, on adolescent lifetime inhalant use in the presence of the theorized mediator variable, characteristics of the peer group. The author concluded the following: (1) published articles in the four health education journals inconsistently reported survey instrument characteristics or results of psychometric property testing for the data collected with survey instruments; (2) systematically eliminating items due to their limited contribution to scale reliability for these data using exploratory factor analyses, confirmatory factor analyses, and calculating internal consistency reliability shortened the AHRBS instrument by 41.18% and improved the reliability of measures for these data; and (3) the effects of perceived peer disapproval, perceived parental disapproval, and perceived peer behavior on adolescent lifetime inhalant use were significantly mediated by characteristics of the peer group as theorized by the BPSM. Findings of this dissertation have implications for the field of health education. First, survey instrument characteristics and internal reliability coefficients for data collected with instrument scales should be reported in published manuscripts. Second, researchers should examine the validity and reliability of data collected with survey instruments. Third, only reliable measures for the data should be used in statistical analyses.