A Field Test of Opportunities for Teen Dating Violence Disclosure in School-Based Relationship Education Programs.

School-based relationship education programs offer an opportunity to identify youth who are experiencing teen dating violence (TDV), support their safety, and connect them with individualized services or referrals. However, no research has tested the feasibility or accuracy of approaches to create opportunities for TDV disclosure in the context of school-based programs. The current study presents the results of a field test comparing three tools used to provide opportunities for TDV disclosure (two questionnaire-style tools and one universal education discussion guide). High school students from two federally funded healthy marriage and relationship education (HMRE) program sites (N = 648) were offered the three tools in random order over the course of the HMRE program, which lasted between 3 weeks and 3 months and took place during the school day. Onsite qualitative interviews with HMRE program staff and their local domestic violence program partners assessed how service providers saw the tools and the process of implementing them. Latent class models examined the accuracy of the tools in identifying TDV. Sensitivities of the tools were low and specificities were high; the questionnaire-style tools tended to have higher sensitivities and fewer classification errors than the universal education tool. Several three-item combinations from across the tools performed better than any intact tool, suggesting that shorter assessments may be effective, provided they include items on sexual coercion and physical violence. Qualitative findings suggested that implementation of TDV assessment and universal education in school settings is a viable strategy, provided programs are able to gain support from school staff, adapt to tight time constraints, and plan procedures for protecting student privacy and confidentiality.

Local Dependence in Latent Class Analysis of Rare and Sensitive Events.

For survey methodologists, latent class analysis (LCA) is a powerful tool for assessing the measurement error in survey questions, evaluating survey methods, and estimating the bias in estimates of population prevalence. LCA can be used when gold standard measurements are not available and applied to essentially any set of indicators that meet certain criteria for identifiability. LCA offers quality inference, provided the key threat to model validity-namely, local dependence-can be appropriately addressed either in the study design or in the model-building process. Three potential causes threaten local independence: bivocality, behaviorally correlated error, and latent heterogeneity. In this article, these threats are examined separately to obtain insights regarding (a) questionnaire designs that reduce local dependence, (b) the effects of local dependence on parameter estimation, and (c) modeling strategies to mitigate these effects in statistical inference. The article focuses primarily on the analysis of rare and sensitivity outcomes and proposes a practical approach for diagnosing and mitigating model failures. The proposed approach is empirically tested using real data from a national survey of inmate sexual abuse where measurement errors are a serious concern. Our findings suggest that the proposed modeling strategy was successful in reducing local dependence bias in the estimates, but its success varied by the quality of the indicators available for analysis. With only three indicators, the biasing effects of local dependence can usually be reduced but not always to acceptable levels.

A general approach for estimating scale score reliability for panel survey data.

Scale score measures are ubiquitous in the psychological literature and can be used as both dependent and independent variables in data analysis. Poor reliability of scale score measures leads to inflated standard errors and/or biased estimates, particularly in multivariate analysis. Reliability estimation is usually an integral step to assess data quality in the analysis of scale score data. Cronbach's alpha is a widely used indicator of reliability but, due to its rather strong assumptions, can be a poor estimator (L. J. Cronbach, 1951). For longitudinal data, an alternative approach is the simplex method; however, it too requires assumptions that may not hold in practice. One effective approach is an alternative estimator of reliability that relaxes the assumptions of both Cronbach's alpha and the simplex estimator and thus generalizes both estimators. Using data from a large-scale panel survey, the benefits of the statistical properties of this estimator are investigated, and its use is illustrated and compared with the more traditional estimators of reliability.

Factors related to lower urinary tract symptoms among a sample of employed women in Taipei.

AIM: To identify factors associated with lower urinary tract symptoms (LUTS) among female elementary school teachers in Taipei. METHODS: This study is a cross-sectional, descriptive study. A total of 520 surveys were distributed to 26 elementary schools in Taipei. Logistic regression was used to identify possible factors related to individual LUTS. RESULTS: Study results were based on the information provided by 445 participants. Of the 445 teachers, 293 (65.8%) experienced at least one type of LUTS. Factors associated with urinary incontinence were body mass index (BMI), vaginal delivery, obstetric and/or gynecological surgery, bladder habits, and job control. Increased daytime urinary frequency was associated with chronic cough and chronic constipation. Bladder habits, straining to lift heavy objects at work and chronic constipation were associated with urgency. Nocturia was associated with age and caffeine consumption while intermittent stream was associated with the presence of a family history of LUTS and chronic constipation. Bladder habits and regular exercise were associated with weak urinary stream. Incomplete emptying was more likely to occur in teachers with chronic constipation and in those who did not exercise regularly. CONCLUSION: All the LUTS under logistic regression analyses were associated with 1-3 modifiable factors. Identification of these modifiable contributing factors may be useful to health care providers. Education of women may include the importance of maintaining normal body weight, good bladder/bowel habits, and regular exercise, treating chronic cough, decreasing daily caffeine consumption, and implementing feasible environmental modifications in employment settings.

Prevalence of lower urinary tract symptoms among female elementary school teachers in Taipei.

The aim of this study was to estimate the prevalence of lower urinary tract symptoms (LUTS) among female elementary school teachers in Taipei. A total of 520 self-administered surveys were distributed to 26 elementary schools in Taipei City. Data analyses were based on 445 usable surveys. The prevalence rates for different types of LUTS ranged from 9.9 to 44.5%. The prevalence of urinary incontinence (UI; 26.7%) and nocturia (16.0%) fell within the prevalence estimates of these LUTS in North American and European women. Employed women in this study were more likely to experience LUTS than women in previous epidemiological or community studies. This study extended research on UI into other LUTS among employed women in Asia. Study results suggest that the working environment may affect LUTS in female elementary school teachers. This preliminary study is important for developing future behavioral interventions for female LUTS in the workplace.

AUDIO AND VIDEO COMPUTER-ASSISTED SELF INTERVIEWING: Preliminary Tests of New Technologies for Data Collection.

Results are reported from a preliminary study testing a new technology for survey data collection: audio computer-assisted self interviewing. This technology has the theoretical potential of providing privacy (or anonymity) of response equivalent to that of paper self-administered questionnaires (SAQs). In addition, it could offer the advantages common to all computer-assisted methods such as the ability to implement complex questionnaire logic, consistency checking, etc.. In contrast to Video-CASI, Audio-CASI proffers these potential advantages without limiting data collection to the literate segment of the population. In this preliminary study, results obtained using RTI's Audio-CASI system were compared to those for paper SAQs and for Video-CASI. Survey questionnaires asking about drug use, sexual behavior, income, and demographic characteristics were administered to a small sample (N = 40) of subjects of average and below-average reading abilities using each method of data collection. While the small sample size renders many results suggestive rather than definitive, the study did demonstrate that both Audio- and Video-CASI systems work well even with subjects who do not have extensive familiarity with computers. Indeed, respondents preferred the Audio- and Video-CASI to paper SAQs. The computerized systems also eliminated errors in execution of "skip" instructions that occurred when subjects completed paper SAQs. In a number of instances, the computerized systems also appeared to encourage more complete reporting of sensitive behaviors such as use of illicit drugs. Among the two CASI systems, respondents rated Audio-CASI more favorably than Video-CASI in terms of interest, ease of use, and overall preference.