James M. Richards

The Validity of a Battery of Creativity Tests in a High School Sample

a battery of &dquo;creativity&dquo; tests. A second purpose was to determine the degree to which the criterion variance accounted for by the creativity tests is independent of the criterion variance accounted for by an IQ test. Sample. The sample consisted of 161 students (95 males and 66 females) in a suburban Salt Lake City, Utah high school. These students were selected on the basis of having taken at least two high school science courses, and were in their senior year when the battery of creativity tests was administered. In the data analysis, the two sexes were treated separately. Predictor Variables. For each student in the sample an IQ based

A factor analytic study of the father form of the parental attitude research instrument

AbstractThe father form of the Parental Attitude Research Instrument was administered to a sample of 69 males. Spearman—Brown reliabilities for the 30 scales of this instrument were computed. The range of reliabilities was .29 to .86 with a median of .695, which indicates use of these scales is justified for group comparisons. The 30 scales were intercorrelated and factor analyzed using the procedure based on eigenvalue analysis, and rotated to a final varimax solution. Seven factors were found as follows: I.Authoritarian ControlII.Democratic AttitudesIII.Hostility — RejectionIV.Non-PunishmentV.Independence — Achievement OrientationVI.Male DominanceVII.Seclusiveness The first three of these factors correspond to the three factors found for the mother form of the PARI by previous investigators.

Predicting Academic Achievement in a College of Medicine From Grades, Test Scores, Interviews, and Ratings

Problem. This study was conducted to evaluate the degree to which academic performance in the University of Utah College of Medicine can be predicted on the basis of undergraduate achievement and scores on the Medical College Admission Test. Two additional studies were conducted, one to evaluate the contribution to prediction of interviews of applicants by members of the Admissions Committee of the College of Medicine, and the other to determine the contribution to prediction of ratings of applicants made by premedical advisers.

Accuracy Components in Person Perception Scores and the Scoring System as an Artifact in Investigations of the Generality of Judging Ability

Cronbach (1955) has proposed that accuracy of person perception scores be divided into several components as follows: Total. Elevation, Differential Elevation, Stereotype Accuracy, and Differential Accuracy. In the present paper, hypothetical items are presented to illustrate the fact that the system used in assigning scores can artifactually reduce the Differential Elevation and Stereotype Accuracy components and in extreme cases cause them to disappear completely. An empirical example is presented in which these artifacts of the scoring system could result in an erroneous conclusion that there is no generality in accuracy of person perception.

Components of accuracy of interpersonal perception scores and the clinical and statistical prediction controversy

SummaryThis study was designed to provide data illustrating a proposed reconceptualization of the clinical and statistical prediction controversy. This reconceptualization is based on a distinction between two components of accuracy scores: Stereotype Accuracy and Interpersonal Accuracy. It was hypothesized that, under the conditions of this experiment, statistical prediction is superior on Stereotype Accuracy but that clinical prediction is superior on Interpersonal Accuracy. These hypotheses were tested using 56 college student Ss, who made predictions about six standard persons presented by means of sound-color movies of an interview situation. The data obtained in this study substantiate both hypotheses.

Book Reviews : An Introduction to Longitudinal Statistical Analysis by Nathan Goldfarb. Glencoe, Illinois: Free Press, 1960. Pp. xiii + 220

these models and randomization in general on the reliability of normal theory significance tests. The last chapter is concerned with the effects, on the analysis of variance, of various departures from assumptions. Some of these effects have been considered previously. The topics covered are: non-normality, as measured by coefficients of skewness and kurtosis ; heterogeneity of variance; and lack of independence. As mentioned before, fixed effects models are generally robust, while random and mixed models are fairly sensitive. Concerning fixed effect models, moderate amounts of skewness and kurtosis are not generally very damaging. Most heterogeneity of variance has little effect,