Attitudes and Beliefs About Hepatitis B Vaccination Among Gay Men: The Birmingham Measurement Study

Rhodes, Scott D.; Hergenrather, Kenneth C.

doi:10.1080/00918360802129386

Cited by 14 publications

(22 citation statements)

References 73 publications

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“…An initial item pool was created with items from a variety of established instruments including the Youth Risk Behavior Survey (Kolbe, Kann, & Collins, 1993), the Harvard College Alcohol Survey (Wechsler, Davenport, Dowdall, Moeykens, & Castillo, 1994), the Core questionnaire (Presley, Meilman, & Lyerla, 1994), and the Birmingham Measurement Study (Rhodes & Hergenrather, 2008). …”

Section: Methodsmentioning

confidence: 99%

Behavioral Risk Disparities in a Random Sample of Self-Identifying Gay and Non-Gay Male University Students

Rhodes

McCoy

Wilkin

et al. 2009

Journal of Homosexuality

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This internet-based study was designed to compare health risk behaviors of gay and non-gay university students from stratified random cross-sectional samples of undergraduate students. Mean age of the 4,167 male participants was 20.5 (±2.7) years. Of these, 206 (4.9%) self-identified as gay and 3,961 (95.1%) self-identified as heterosexual. After adjusting for selected characteristics and clustering within university, gay men had higher odds of reporting: multiple sexual partners; cigarette smoking; methamphetamine use; gamma-hydroxybutyrate (GHB) use; other illicit drug use within the past 30 days and during lifetime; and intimate partner violence (IPV). Understanding the health risk behaviors of gay and heterosexual men is crucial to identifying associated factors and intervening upon them using appropriate and tailored strategies to reduce behavioral risk disparities and improve health outcomes.

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Section: Methodsmentioning

confidence: 99%

Behavioral Risk Disparities in a Random Sample of Self-Identifying Gay and Non-Gay Male University Students

Rhodes

McCoy

Wilkin

et al. 2009

Journal of Homosexuality

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“…Thus, the ability to measure such constructs is also seen as increasingly important [33]. This study has examined one such potential scale, the HCAMQ from a largely modern psychometric perspective.…”

Section: Discussionmentioning

confidence: 99%

Construct Validity of the Holistic Complementary and Alternative Medicines Questionnaire (HCAMQ)—An Investigation Using Modern Psychometric Approaches

Kersten

White

Tennant

2011

Evidence-Based Complementary and Alternative Medicine

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The scientific basis of efficacy studies of complementary medicine requires the availability of validated measures. The Holistic Complementary and Alternative Medicine Questionnaire (HCAMQ) is one such measure. This article aimed to examine its construct validity, using a modern psychometric approach. The HCAMQ was completed by 221 patients (mean age 66.8, SD 8.29, 58% females) with chronic stable pain predominantly from a single joint (hip or knee) of mechanical origin, waiting for a hip (40%) or knee (60%) joint replacement, on enrolment in a study investigating the effects of acupuncture and placebo controls. The HCAMQ contains a Holistic Health (HH) Subscale (five items) and a CAM subscale (six items). Validity of the subscales was tested using Cronbach alpha's, factor analysis, Mokken scaling and Rasch analysis, which did not support the original two-factor structure of the scale. A five-item HH subscale and a four-item CAM subscale (worded in a negative direction) fitted the Rasch model and were unidimensional (χ2 = 8.44, P = 0.39, PSI = 0.69 versus χ2 = 17.33, P = 0.03, PSI = 0.77). Two CAM items (worded in the positive direction) had significant misfit. In conclusion, we have shown that the original two-factor structure of the HCAMQ could not be supported but that two valid shortened subscales can be used, one for HH Beliefs (four-item HH), and the other for CAM Beliefs (four-item CAM). It is recommended that consideration is given to rewording the two discarded positively worded CAM questions to enhance construct validity.

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“…The assessment contained 267 items with predefined binary, categorical, or Likert-scale response options to facilitate readability and administration. Items for this assessment were developed after a careful review of the literature and other college student assessments, including the Youth Risk Behavior Survey (4), the Harvard College Alcohol Survey (5), the Core questionnaire (6), and the Birmingham Measurement Study (7). The assessment took between 17 and 24 minutes to complete, depending on the skip patterns of each participant.…”

Section: Methodsmentioning

confidence: 99%

“…With the first split-half sample, principal iterative factor analysis was used to determine the underlying factor structure based on dimensionality and internal consistency. The scree test, eigenvalues, the interpretability of the factors, theoretical considerations, and Cronbach's coefficient alpha were used to examine dimensionality in the factor analysis (7). An oblique Promax rotation was used prior to interpretation of factor loadings.…”

Section: Methodsmentioning

confidence: 99%

“…CFA via structural equation modeling (SEM) has become one of the primary methods of choice for instrument development (7). However, because no single factor index is accepted as sufficient to describe the goodness of fit between an estimated model and a theoretical model (13), commonly used indices, including the relative chi-square fit index, the Root Mean Square Error of Approximation (RMSEA), the non-normed fit index (NNFI), and the comparative fit index (CFI), were used to assess fit.…”

Section: Methodsmentioning

confidence: 99%

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The negative consequences of other students' drinking: Inventory development and assessment of differences by student characteristics and risk behaviors

Rhodes¹,

McCoy²,

Omli³

et al. 2009

International Journal of Adolescent Medicine and Health

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College students continue to report being disrupted by other students’ alcohol use. Objective: This study was designed to develop measures to document the consequences resulting from other students’ drinking and identify differences in experiencing these consequences by student characteristics and drinking behaviors. Study group: A stratified random sample of undergraduate students (N = 3,908) from ten universities in North Carolina, USA, completed a web-based assessment. Methods: Exploratory factor analysis (EFA) was performed on the random first split-half sample (n = 1,954) to identify factor structure. Confirmatory factor analysis (CFA) was performed on the remaining half sample (n = 1,954) using structural equation modeling. Results: EFA revealed two inventories: interpersonal and community consequences of others’ drinking inventories. CFA on the second split-half sample identified model fits for the two factor structure suggested by EFA. Of 3,908 participants, 78% reported experiencing one or more consequences due to others’ drinking during the past 30 days. Multivariable generalized linear mixed modeling further validated the inventories and resulted in several associations. Male students who reported getting drunk experienced significantly more interpersonal consequences from others’ drinking (p < .001). Minority students, students who lived on campus and students who reported getting drunk experienced significantly more community consequences from others’ drinking (p < .01). Conclusions: These findings demonstrate that 4 out of 5 college students experience consequences from others’ drinking, and consequences vary for different subgroups of students. Although these inventories should be tested further, these findings propose standardized measures that may be useful to assess the consequences of others’ drinking among college students.

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Attitudes and Beliefs About Hepatitis B Vaccination Among Gay Men: The Birmingham Measurement Study

Cited by 14 publications

References 73 publications

Behavioral Risk Disparities in a Random Sample of Self-Identifying Gay and Non-Gay Male University Students

Behavioral Risk Disparities in a Random Sample of Self-Identifying Gay and Non-Gay Male University Students

Construct Validity of the Holistic Complementary and Alternative Medicines Questionnaire (HCAMQ)—An Investigation Using Modern Psychometric Approaches

The negative consequences of other students' drinking: Inventory development and assessment of differences by student characteristics and risk behaviors

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