The Mind and the Book: A Long Look at Psychoanalytic Literary Criticism

This immense field can be summarized by recognizing that the psychoanalytic critic must address one or more of three minds: the author's, the reader's, or a mind derived from the text. The critic can then address them from any theoretical point of view. The future of psychoanalytic criticism, and indeed of psychoanalysis, lies in integrating the discoveries of brain and cognitive science with those of psychoanalysis. In the present, psychoanalytic critics need to recognize that their function is to delight and enlighten. Hence, no more pathography, no more id-analysis, no more symbol-mongering, no more jargon. Only that way, will psychoanalytic critics keep open psychoanalysis' royal road into the human possibilities offered by great literature.     

Contemporary Christian analytic philosophy of religion: Biblical fundamentalism,terrible solutions to a horrible problem,and hearing God

International Journal for Philosophy of Religion -     

The High Cost of Complexity in Experimental Design and Data Analysis: Type I and Type II Error Rates in Multiway ANOVA

The availability of statistical software packages has led to a sharp increase in use of complex research designs and complex statistical analyses in communication research. An informal examination of studies from 2 leading communication journals suggests that the analysis of variance (ANOVA) is often the statistic of choice, and a substantial proportion of published research reports using ANOVA employ complex (k ≥ 3) factorial designs, often involving multiple dependent variables. This article reports a series of Monte Carlo simulations which demonstrate that this complexity may come at a heavier cost than many communication researchers realize. As frequently used, complex factorial ANOVA yield Type I and Type II error rates that many communication scholars would likely consider unacceptable. Consequently, quality of statistical inference in many studies is highly suspect. Communication researchers are warned about problems associated with design and statistical complexity and solutions are suggested.