PubMed · 14084810
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G MARWELL. 1963. VISIBILITY IN SMALL GROUPS.. https://doi.org/10.1080/00224545.1963.9919488
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Feminist theory predicts both a positive and negative relationship between gender equality and rape rates. Although liberal and radical feminist theory predicts that gender equality should ameliorate rape victimization, radical feminist theorists have argued that gender equality may increase rape in the form of male backlash. Alternatively, Marxist criminologists focus on women's absolute socioeconomic status rather than gender equality as a predictor of rape rates, whereas socialist feminists combine both radical and Marxist perspectives. This study uses factor analysis to overcome multicollinearity limitations of past studies while exploring the relationship between women's absolute and relative socioeconomic status on rape rates in major U.S. cities using 2000 census data. The findings indicate support for both the Marxist and radical feminist explanations of rape but no support for the ameliorative hypothesis. These findings support a more inclusive socialist feminist theory that takes both Marxist and radical feminist hypotheses into account.
Correlation and regression are statistical methods that help us determine interactions of variables. Both are being used in statistical analysis of basic and clinical research. Correlation (r) is a measure of linear relationship between two numerical measurements made on the same set of subjects and it is represented by correlation coefficient. Values of correlation coefficient range between -1 and 1. Pearson's and Spearman's coefficients of correlation are the most often used correlation coefficients. Correlation can be linear and non-linear. We calculate the significance of correlation (P) in an effort to determine significance of correlation coefficient. Regression is a statistical method that allows us to predict values of one variable from another. The simplest regression is linear regression. The success of regression equation is valued by analysis of residuals. Multiple regression is used to predict one variable from several known variables.
A synthetic bidirectional expression module was constructed by placing a computationally designed minimal promoter sequence on the 5' and 3' sides of a transcription activation module. The activation of transcription from the unidirectional and bidirectional promoters constructed from the same sequence elements was evaluated by using the reporter genes gusA and gfp. The analysis based on transient and stable transformation of tobacco showed that the artificially designed multifactorial activation module activated transcription simultaneously to comparable levels in both the directions. The transcription activation module responded to elicitors like salicylic acid, NaCl and IAA in the forward as well as reverse directions. The concentration of the elicitor required for highest gene activation was similar for the two directions in case of the three activators. The kinetics of time of induction was similar in the two directions for salicylic acid and NaCl. In the case of IAA, the transcription activation was faster in the reverse direction. The results show that constitutive and chemically inducible bidirectional promoters can be deployed for predictable simultaneous regulation of two genes for genetic engineering in plants.