Biomedical subjects
T E Dinero
Publications and source records attributed to T E Dinero.
Seven reasons why you should not categorize continuous data.
I have shown that there are a variety of logical, philosophical, measurement, and statistical reasons why every attempt should be made to measure continuous attributes using measures which reflect that continuity and that following statistical analyses should also retain that continuity. I encourage you to look back at some of the research articles which you have read and see if any of these issues is pertinent. Check out the conclusions and see if they are warranted by the data.
Reading qualitative research from a methodological point of view.
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Discriminant analysis of risk factors for sexual victimization among a national sample of college women.
Examined the accuracy with which rape and lesser sexual assaults were predicted among a representative national sample of 2,723 college women. A total of 14 risk variables operationalized three vulnerability hypotheses: (a) vulnerability-creating traumatic experiences, (b) social-psychological vulnerability, and (c) vulnerability-enhancing situations. Each hypothesis was tested individually, and a composite model was developed via discriminant analysis. Only the traumatic experiences variables clearly improved over the base rates in identifying rape victims, but risk variables from each vulnerability hypothesis met criteria for inclusion in the composite model. A risk profile emerged that characterized only 10% of the women, but among them the risk of rape was twice the rate of women without the profile. The concept of traumatic sexualization was used to explain this finding. However, the vast majority of sexually victimized women (75-91%) could not be differentiated from nonvictims.
Predictors of sexual aggression among a national sample of male college students.
An approximately representative national sample of 2,972 male students at 32 U.S. institutions of higher education was surveyed regarding their use of several degrees of verbal coercion and physical force to obtain sexual intimacy with women without consent. The most severe form of sexual aggression each man reported was used to classify him into one of five groups: sexually nonaggressive, sexual coercion, sexual contact, attempted rape, or rape. Respondents also provided data that was grouped into three blocks of variables: early experiences (family violence exposure, childhood sexual abuse, age of sexual initiation), psychological characteristics (MMPI Scale 4, Hostility Toward Women, rape supportive beliefs, gender role orientation), and current behavior (alcohol use, pornography use, male bonding, sexual values and activity, conflict tactics). Data were analysed via blockwise discriminant function analysis. Variables were entered following a suggested development sequence. Specifically, all early experience variables were entered first as a block. Then the entire set of psychological characteristics were entered stepwise followed by all the current behavior variables. Variables from all three blocks entered the model. The classification rates have been discussed and the implications of the analyses for future causal models of male sexual aggression considered.
The Slingerland Screening Tests for identifying children with specific language disability: screening for learning disabilities in first grade.
The responses on the Slingerland tests of 29 learning disabled and 11 nondisabled children in Grade 1 distinguished the two groups, except for copying (near vision). Copying (far vision) and auditory, visual, and kinesthetic perception and discrimination together were the strongest predictors of group membership.