Integrative Data Analysis of Gender and Ethnic Measurement Invariance in Nicotine Dependence Symptoms

Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial

Integrative data analysis (IDA) is an analytic tool that allows researchers to combine raw data across multiple, independent studies, providing improved measurement of latent constructs as compared to single study analysis or meta-analyses. This is often achieved through implementation of moderated nonlinear factor analysis (MNLFA), an advanced modeling approach that allows for covariate moderation of item and factor parameters. The current paper provides an overview of this modeling technique, highlighting distinct advantages most apt for IDA. We further illustrate the complex modeling building process involved in MNLFA by providing a tutorial using empirical data from five separate prevention trials. The code and data used for analyses are also provided.

Past-year discrimination and cigarette smoking among sexual minority women: investigating racial/ethnic and sexual identity differences

Although findings are mixed, discrimination has been identified as a risk factor for smoking in sexual minority women (SMW; e.g., lesbian and bisexual). We examined associations between past-year discrimination and cigarette smoking among SMW. Using regression analyses we examined associations of past-year discrimination including count of types of discriminatory experiences and attributions of the main reason for discrimination (i.e., sexual orientation, race/ethnicity, gender) with smoking outcomes (e.g., current smoking, nicotine dependence, smoking more cigarettes now than 12 months ago). We conducted exploratory analyses to examine whether race/ethnicity and sexual identity moderated the associations of past-year discrimination with smoking outcomes. The sample included 619 SMW. Most identified as lesbian (74.3%) and non-White (61.1%). SMW who reported a higher count of types of discriminatory experiences (AOR 1.54, 95% CI 1.12-2.12) and any gender-based discrimination in the past year (AOR 4.79, 95% CI 1.39-16.45) reported smoking more cigarettes now than 12 months ago. Associations of other past-year discrimination measures with other smoking outcomes were not significant. Compared to White SMW, any discrimination [B (SD) = 2.56 (0.83)] and a higher count of types of discriminatory experiences in the past year [B (SD) = 0.88 (0.31)] were associated with higher nicotine dependence scores in Black/African American SMW. Past-year discrimination are associated with smoking outcomes in SMW. Black/African American race moderated the associations of any past-year discrimination and a higher count of types of discriminatory experiences with nicotine dependence scores in SMW. Targeted interventions to mitigate the influence of discrimination on smoking among SMW are needed.