Pass It On: Errors in Direct Quotes in a Sample of Scholarly Journal Articles

Concern has been expressed in the literature over inaccuracies both in reference listings and direct quotes. This study examined one volume year of each of four journals in the social sciences to compare 1,278 quotes against the original sources. Of this total, 89 could not be found and 519 (43.7% of the remaining quotes) had one or more inaccuracies, ranging from trivial punctuation differences to errors that significantly changed the content meaning. Implications as well as suggestions for editors and writers for reducing errors are discussed.     

Liberal vs Radical Feminism Revisited

ABSTRACT This essay considers the movement away from a feminism based upon liberal political principles, such as John Stuart Mill espoused, and towards a radical feminism which seeks to build upon more recent explorations of psychology, biology and sexuality. It argues that some of these moves are philosophically suspect and that liberal feminism can accommodate the more substantial elements in these radical lines of thought.     

A SEX COMPARISON OF FACTORS RELATED TO SUCCESS IN NAVAL HOSPITAL CORPS SCHOOL1

Background information, Comrey Personality Scale scores, and a standard Navy aptitude test score were obtained on 600 Navy enlisted men and 600 Navy enlisted women prior to beginning Naval Hospital Corps School training. A comparison of the men and women indicated that the sexes differed on a number of background and personality dimensions. A double-split cross-validation design with multiple regression was then employed in the development of a test battery for predicting school completion. Results indicated that the men were more predictable than the women with cross-validities on the order of .53 for men and .41 for women. For the total sample, cross-validities were approximately .47. An empirical comparison of the utility of these equations for screening candidates for paramedical training suggested that the use of separate equations with the sexes would not produce results which were substantially different from use of the single equation developed on both sexes combined.     

LOG-LINEAR MODELING IN PERSONNEL RESEARCH

Log-linear modeling is a discrete multivariate statistical technique that is designed specifically for analyzing data when both the independent and dependent variables are categorical or nominal. The purpose of this paper is to demonstrate the utility of this technique in personnel research. The paper (a) discusses behavioral areas of application, (b) compares log-linear modeling with chi-square and regression analysis, (c) presents the basic principles and hypotheses of log-linear modeling, and (d) shows how the technique is used.