Freudian Symbols on Sexual and Creative Aspects of Stories

1998 ◽  
Vol 82 (3) ◽  
pp. 1059-1072
Author(s):  
Constance J. Larson
Keyword(s):  
College Students ◽  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Repeated Measures ◽  
Univariate Analysis ◽  
Visual Presentation ◽  
Pairwise Comparisons ◽  
Sexual Content ◽  
Multivariate Analysis Of Variance

Sexual content and creativity of stories and story titles was investigated. 96 college students responded to visual presentation of instances of theoretical Freudian symbols. Analyses subjected responses to a 2 (sex) × 2 (symbol) × 2 (mode) × 6 (subscales) analysis of variance with repeated measures on subscales and to multivariate analysis of variance procedures with four dependent measures. These showed men wrote masculine stories and women wrote feminine stories. Certain subscales were more sensitive to sexual content than others. Pairwise comparisons between the subscales among instances of symbols emerged as significant. In addition, subjects exposed to Male symbols wrote stories containing greater latent sexual content than subjects exposed to Female symbols. Creativity of story tides was evident only on a univariate analysis of variance.

Repeated-Measures Designs: Univariate or Multivariate Analysis of Variance?

1997 ◽  
Vol 85 (1) ◽  
pp. 193-194
Author(s):  
Peter Hassmén
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Repeated Measures ◽  
Type I Error ◽  
Univariate Analysis ◽  
Type I ◽  
Multivariate Analysis Of Variance ◽  
Repeated Measures Analysis ◽  
Alpha Level ◽  
Repeated Measures Designs

Violation of the sphericity assumption in repeated-measures analysis of variance can lead to positively biased tests, i.e., the likelihood of a Type I error exceeds the alpha level set by the user. Two widely applicable solutions exist, the use of an epsilon-corrected univariate analysis of variance or the use of a multivariate analysis of variance. It is argued that the latter method offers advantages over the former.

scholarly journals Repeated measures in randomized block and split-plot experiments

1993 ◽  
Vol 23 (4) ◽  
pp. 625-639 ◽  
Author(s):  
M.L. Gumpertz ◽  
C. Brownie
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Loblolly Pine ◽  
Repeated Measures ◽  
Univariate Analysis ◽  
Complete Analysis ◽  
Phosphorus Fertilization ◽  
Multivariate Analysis Of Variance ◽  
Repeated Measures Data ◽  
Split Plot

Randomized block and split-plot designs are among the most commonly used experimental designs in forest research. Measurements for plots in a block (or subplots in a whole plot) are correlated with each other, and these correlations must be taken into account when analyzing repeated-measures data from blocked designs. The analysis is similar to repeated-measures analysis for a completely randomized design, but test statistics must allow for random block × time effects, and standard errors for treatment means must also incorporate block to block variation and variation among plots within a block. Two types of statistical analysis are often recommended for repeated-measures data: analysis of contrasts of the repeated factor and multivariate analysis of variance. A complete analysis of repeated measures should usually contain both of these components, just as in univariate analysis of variance it is often necessary to decompose the main effects into single degree of freedom contrasts to answer the research objectives. We demonstrate the multivariate analysis of variance and the analysis of contrasts in detail for two experiments. In addition, estimation of coefficients assuming a polynomial growth curve is discussed in detail for one of these experiments. The first experiment, a randomized complete block design, is a forest nutrition study of the long-term effects of midrotation nitrogen and phosphorus fertilization on loblolly pine (Pinustaeda L.); the second experiment, a split-plot design, is an air-pollution study of the effects of ozone and acid precipitation on loblolly pine growth.

Differences in Motivations of Paid versus Nonpaid Volunteers

2004 ◽  
Vol 94 (1) ◽  
pp. 163-175 ◽  
Author(s):  
Lawrence H. Gerstein ◽  
David A. Wilkeson ◽  
Heather Anderson
Keyword(s):  
College Students ◽  
Multivariate Analysis ◽  
College Student ◽  
Analysis Of Variance ◽  
Educational Services ◽  
Multivariate Analysis Of Variance ◽  
Volunteer Functions Inventory ◽  
Monetary Compensation ◽  
Student Volunteers ◽  
Motives For Volunteering

143 AmeriCorps volunteers (30 men; 113 women) and 127 college student volunteers (43 men; 84 women) completed the Volunteer Functions Inventory to assess whether monetary compensation was associated with choice to volunteer to provide educational services, e.g., tutoring, mentoring. Based on Snyder's 1993 theory of functionalism, motives of paid (AmeriCorps participants) and nonpaid (college students) volunteers were expected to differ. It was also predicted that the motives of female and male volunteers would differ. Multivariate analysis of variance confirmed these assumptions. In general, paid male participants reported perceiving numerous benefits associated with volunteering and reported stronger beliefs about such benefits. Female participants reported motives for volunteering, in contrast, which were not linked with monetary compensation. The women reported recognizing the benefits of volunteering and engaging in this activity for egoistic reasons. Their reported motives had little relation to compensation.

Gender and Generation Effects on Person Perception

1980 ◽  
Vol 11 (4) ◽  
pp. 307-318 ◽  
Author(s):  
Kay C. Sharp ◽  
Sandra G. Candy ◽  
Lillian E. Troll
Keyword(s):  
College Students ◽  
Multivariate Analysis ◽  
Sex Differences ◽  
Analysis Of Variance ◽  
Generational Differences ◽  
Person Perception ◽  
Multivariate Analysis Of Variance ◽  
Men And Women ◽  
Wide Range ◽  
The Way

It has been assumed that the characteristics of respondents, such as their sex, background and socialization experiences, would affect the way in which respondents perceive other persons. Sex differences have been found in college students, but generational differences have not been explored. The present study employed one hundred fifty men and women, of non-college background and of a wide range of ages, and permitted free responses in respondents' descriptions. The effect of gender and generation on the categories participants used to describe a known man and woman was examined. A multivariate analysis of variance indicated significance on both variables. However, subsequent one-way analyses of variance revealed that only a few categories were used differentially by men and women, or by the older, middle and younger generations.

scholarly journals Cognitive flexibility of smokers in the context of social anxiety

2020 ◽  
pp. 93-99
Keyword(s):  
Multivariate Analysis ◽  
Social Anxiety ◽  
Analysis Of Variance ◽  
Cognitive Flexibility ◽  
Univariate Analysis ◽  
Multivariate Analysis Of Variance ◽  
Nicotine Abuse ◽  
Significant Difference ◽  
Wilks Lambda ◽  
Study Population

Background: The cognitiveCognitive dysfunction may be an important factor in smoking and nicotine abuse. However, there are very few studies that have examined the effects of psychiatric conditions on the cognitive flexibility of smokers. Objectives: This research was conducted with the aim of examination theto examine cognitive flexibility (perceive theperceived controllability and cognitive alternatives) ofamong smokers in the context of with social anxiety. MaterialMaterials and methods: The research was a study withpresent causal-comparative design. The populationstudy was allconducted on 60 smoker students ofstudying at Arak University, Arak, Iran, in 2018-2019 years. For selecting the research sample the. The study population was selected using the purposive sampling was usedtechnique. At first, the participants completed the Social Phobia Inventory (SPIN) and Cognitive Flexibility Inventory (CFI).. Then, based on the cutoff point scores of SPIN (19 to above),≤), the participants were divided into two smoker groups (n=30 in each group) were selected: smoker groupsof smokers with and without social anxiety. (n=30 in each group). Finally, these groups were compared in perceive the terms of perceived controllability and cognitive alternatives by Multivariate Analysis of Variance (MANOVA).using the multivariate analysis of variance. Results: The results indicated a significant difference in the linerlinear composition of the dependent variables ofin the two groups (wilks,Wilks’ lambda= 0/.799, F50,2= 6/.726, p= P=0/.004). UnivariateThe results of the univariate analysis of variance indicated that the smoker group with social anxiety had lower perceive theperceived controllability and cognitive alternatives, compared to the smoker group without social anxiety. Conclusion: In generalAs the findings indicated, the level of cognitive flexibility in the smokers with and without social anxiety iswas different. Therefore, it is necessary to consideringconsider the evaluation and treatment of cognitive deficits in smokers based on their level of social anxiety.

Bayesian Full Rank MANOVA/MANCOVA: An Intermediate Exposition with Interactive Computer Examples

1979 ◽  
Vol 4 (4) ◽  
pp. 357-404 ◽  
Author(s):  
George G. Woodworth
Keyword(s):  
Multivariate Analysis ◽  
Multiple Regression ◽  
Analysis Of Variance ◽  
Univariate Analysis ◽  
Full Rank ◽  
Multivariate Analysis Of Variance

Computation and interpretation of Bayesian full-rank multivariate analysis of variance and covariance is described and illustrated in an exposition intended for readers familiar with univariate analysis of variance and multiple regression.

Sign in / Sign up

Export Citation Format

Share Document