Substance use and social identity in the lesbian community

Although the study results report discrepancies in the rates of substance abuse in the lesbian community, the general consensus in the field of gay and lesbian studies is that these individuals, as a whole, have a higher rate of substance use. For this study, data were collected via the Internet on the use of drugs and alcohol, level of self-esteem, and degree of social identity in the lesbian community. A correlation analysis was used to determine if negative social identity within the lesbian community leads to low self-esteem that is reflected in higher rates of substance abuse. Though a positive relationship between social identity and self-esteem was determined, no significant correlation between negative social identity, low self-esteem, and substance use was determined. However, it is important to consider that respondents with higher levels of self-esteem reported more frequent use of specific drugs. That outcome in itself is an implication for further investigation.     

Online surveys for BGLT research: issues and techniques

Online surveys are becoming increasingly popular for accessing less visible and decentralized populations, including bisexual, gay, lesbian and transgender (BGLT) populations. Advances in technology and convenience for the both the researcher and the participant have facilitated this trend. In this paper, we explore issues related to conducting BGLT survey research online, such as making decisions about survey formats, target populations and recruitment, compensation, access.     

Sex Differences in Attitude Expression: A Generational Explanation

Females have consistently shown higher DK response rates thanmales in surveys. Using the 1972 Center for Political StudiesNational Election Study, this sex difference is shown to bea largely generational phenomenon which is much greater amongolder than younger respondents. It also declines at higher levelsof political knowledge and interest. Finally, using the CPS1972–76 national panel, DK response rate shows high test-retestreliability.     

A formula for P(bi≤Ri≤ai, 1≤i≤m) under a general class of alternatives

Let X_i≤?≤X_m and Y_i≤?≤Y_n be two sets of independent order statistics from continous distributions with distribution functions F and G respectively. Let R_i denote the rank of X_i in the combined order sample. Steck (1980) has found an expression for P(b_i≤R_i≤a_i, all i) when F = h(G), h being the incomplete beta function with parameters (α,β?α+1). An alternative expression for the same probability is obtained which is computationally a substantial improvement on Steck's result.     

On the Bayesian analysis of categorical data: the problem of nonresponse

It is demonstrated how a suitably chosen prior for the frequency parameters can streamline the Bayesian analysis of categorical data with missing entries due to nonresponse or other causes. The two cases where the data follow the Multinomial or the Hypergeometric model are treated separately. In the first case it is adequate to restrict the prior (for the cell probabilities) to the class of Dirichlet distributions. In the case of the Hypergeometric model it is convenient to select a prior from the class of Dirichlet-Multinomial (DM) distributions. The DM distributions are studied in some details.     

The effects of user-generated design modifications in a general hospital

The present study investigated the effects of relatively minor design modifications in one wing of a local hospital on the organizational climate of the institution and the behavior of various user groups. Results showed that the changes had positive effects for patients and staff members on mood and morale and on the perceived quality of health care, while visitors reacted negatively to the modifications. Use of the more public areas of the experimental ward increased as a result of the alterations, especially in the evenings when more visitors were present. The positive effects occasionally spread to other wards as well.The research reported in this paper was funded by Grant SOC7508784 from the National Science Foundation.     

On aliasing and generalized defining relationships of factorial arrangements

The concepts of defining contrast (DC), generalized defining relationship (GDR) and aliasing structure (AS) are now well established in the terminology of regression analysis and factorial design theory. There is no complete agreement in the literature about the meaning of regular and irregular fractional factorial designs. This paper provides a workable definition of a regular fraction from a symmetrial prime-powered factorial. It characterizes the uniqueness of the GDR for fractions from the most general factorial. Results are also présentés on the uniqueness of the GDR for regular designs, on orthogonality aspects of regular and irregular designs, and on group-theoretic generation of the complete aliasing structure. Examples are provided to illustrate the developments.