Bias for Treatment Effect by Measurement Error in Pretest in ANCOVA Analysis.

This paper investigated consequences of measurement error in the pretest on the estimate of the treatment effect in a pretest-posttest design with the analysis of covariance (ANCOVA) model, focusing on both the direction and magnitude of its bias. Some prior studies have examined the magnitude of the bias due to measurement error and suggested ways to correct it. However, none of them clarified how the direction of bias is affected by measurement error. This study analytically derived a formula for the asymptotic bias for the treatment effect. The derived formula is a function of the reliability of the pretest, the standardized population group mean difference for the pretest, and the correlation between pretest and posttest true scores. It revealed a concerning consequence of ignoring measurement errors in pretest scores: treatment effects could be overestimated or underestimated, and positive treatment effects can be estimated as negative effects in certain conditions. A simulation study was also conducted to verify the derived bias formula.

Psychometric Properties of Disaster Event Reaction Items From the Crisis Counseling Individual/Family Encounter Log.

OBJECTIVE: The purpose of this article was to examine the psychometric properties of the Crisis Counseling Assistance and Training Program (CCP) data collection instrument, the Individual/Family Encounter Log (IFEL). Data collected from disaster survivors included how they reacted to events in emotional, behavioral, physical, and cognitive domains. These domains are based on conceptual categorization of event reactions and allow CCP staff to provide survivors with referrals to appropriate behavioral health support resources, if warranted. METHODS: This study explored the factor structure of these survey items to determine how best to use the available information as a screen of disaster-related behavioral health indicators. Specifically, our first research question explored and confirmed the optimal factor structure of the event reaction items, and our second question examined whether the new factor structure was similar across disaster types: hurricanes, tornadoes, floods, and wildfires. Using a factor analytic technique, we tested whether our event reaction outcomes achieved consistent and reliable measurement across different disaster situations. Finally, we assessed how the new subscales were correlated with the type of risk to which CCP disaster survivors were exposed. RESULTS: Our analyses revealed 3 factors: (1) depressive-like, (2) anxiety-like, and (3) somatic. In addition, we found that these factors were coherent for hurricanes, floods, and wildfires, although the basic factor structure was not equivalent for tornadoes. CONCLUSION: Implications for use of the IFEL in disaster preparedness, response, and recovery are discussed. (Disaster Med Public Health Preparedness. 2016;10:822-831).

Reducing drinking among junior enlisted Air Force members in five communities: early findings of the EUDL program's influence on self-reported drinking behaviors.

OBJECTIVE: In the fall of 2006, the Office of Juvenile Justice and Delinquency Prevention awarded discretionary grants to five communities in four states as part of the Enforcing Underage Drinking Laws initiative. These 3-year grants were designed to support implementation of a set of interventions using an environmental strategies approach to reduce drinking and associated alcohol-related misconducts among active-duty Air Force members ages 18-25, with a specific focus on the underage population. The current article presents findings from Year 1 of the evaluation. METHOD: Data on alcohol use were obtained from a large-scale, anonymous survey that fielded in the spring of 2006 (i.e., pretest) and the spring of 2008 (i.e., posttest) from a stratified random sample of Air Force members at five demonstration and five comparison communities. RESULTS: The percentage of junior enlisted personnel at risk for an alcohol problem dropped 6.6% in the Air Force overall during the last 2 years but dropped as much as 13.6% and 9.8% in two Arizona demonstration communities that implemented the intervention. CONCLUSIONS: The first-year results suggest that the Enforcing Underage Drinking Laws intervention may have been one factor that helped to reduce the percentage of junior enlisted Air Force members at risk for an alcohol problem in the demonstration communities.