The Structure Among Measures of Personality, Social Attitudes, Values, and Social Norms

2007 ◽  
Vol 28 (4) ◽  
pp. 240-251 ◽  
Author(s):  
Lazar Stankov
Keyword(s):  
Factor Analysis ◽  
Individual Differences ◽  
Social Norms ◽  
Social Interactions ◽  
Correlation Matrix ◽  
Social Attitudes ◽  
Group Differences ◽  
Factor Scores ◽  
Ethnic Group Differences ◽  
Inside Out

Abstract. This paper presents the results of a study that employed measures of personality, social attitudes, values, and social norms that have been the focus of recent research in individual differences. These measures were given to a sample of participants (N = 1,255) who were enrolled at 25 US colleges and universities. Factor analysis of the correlation matrix produced four factors. Three of these factors corresponded to the domains of Personality/Amoral Social Attitudes, Values, and Social Norms; one factor, Conservatism, cut across the domains. Cognitive ability showed negative correlation with conservatism and amoral social attitudes. The study also examined gender and ethnic group differences on factor scores. The overall interpretation of the findings is consistent with the inside-out view of human social interactions.

Analysis of Factor Variance: One-Way Classification

1966 ◽  
Vol 23 (3_suppl) ◽  
pp. 1209-1210 ◽  
Author(s):  
Samuel R. Pinneau ◽  
Anson J. Levine ◽  
Bryce C. Schurr ◽  
Donald C. Butler
Keyword(s):  
Factor Analysis ◽  
Correlation Matrix ◽  
Simple Structure ◽  
Response Factor ◽  
Factor Scores ◽  
Simple Analysis ◽  
Total Correlation ◽  
Response Measures ◽  
Space Economy ◽  
Q Factors

A method of analyzing M response measures gathered in a simple analysis of variance design has been suggested. The first step is a factor analysis of the M by M total correlation matrix with rotation to “simple structure” and the extraction of Q factors with uncorrelated factor scores. Secondly, separate analyses of variance are performed on each of the Q sets of factor scores. Some advantages are knowledge of the structure of the response space, economy of description, and orthogonality of response factor measurements.

Individual differences in wild (WWCPS) rat — manifested in the exploration box

2010 ◽  
Vol 41 (1) ◽  
pp. 31-35
Author(s):  
Wojciech Pisula
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Individual Differences ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Dimensional Structure ◽  
Two Dimensional ◽  
Factor Scores ◽  
Laboratory Rats ◽  
Two Factors

Individual differences in wild (WWCPS) rat — manifested in the exploration box Thirty nine WWCPS rats were tested in the exploration box throughout fifteen sessions. Factor analysis was run to extract the main dimensions describing rat behavior. Two factors were extracted, confirming the validity of the concept of two dimensional structure of individual differences in rats. Hierarchical cluster analysis run on factor scores showed that only three out of a possible four types of factor combinations are actually present within observed group of animals. In terms of individual differences structure, the study provide support for the view that laboratory rats are still rats.

Adolescent Racial and Ethnic Group Differences in Social Attitudes and Adjustment

1959 ◽  
Vol 5 (2) ◽  
pp. 549-552 ◽  
Author(s):  
John Pierce-Jones ◽  
Jackson B. Reid ◽  
F. J. King
Keyword(s):  
Ethnic Group ◽  
Social Attitudes ◽  
Group Differences ◽  
Ethnic Group Differences

Sex Differences in Motive to Avoid Success on Competitive or Cooperative Action

1982 ◽  
Vol 50 (1) ◽  
pp. 55-61 ◽  
Author(s):  
Hirotsugu Yamauchi
Keyword(s):  
Factor Analysis ◽  
Sex Differences ◽  
Correlation Matrix ◽  
Factor Score ◽  
Principal Factor ◽  
Factor Scores ◽  
Principal Factor Analysis ◽  
Cooperative Action ◽  
The Mean ◽  
Female Subjects

To find out the factorial dimensions among achievement-related motives (motive to approach success, motive to avoid failure, and motive to avoid success) and to provide information about the relation of the motive to avoid success to cooperative action 62 male and 62 female subjects were administered ARM Scale. Four factors were extracted by the principal-factor analysis from the correlation matrix, and the factors were rotated by a normalized varimax criterion. Two of these factors contained the motive to avoid success. Four factor scores were computed for each subject using the varimax factor weights obtained in the factor analysis. Sex differences in each factor score were not significant. The number of cooperative actions on Prisoner's Dilemma Game was defined as a score of cooperative tendency. Sex differences in the mean cooperative score were not significant. It is interesting to note, however, that the relationships between the denying attitude for attaining success and the cooperative tendency were significant for females but not for males.

Providing Needed Care to Grandparents: Gender and Ethnic Group Differences

2006 ◽  
Author(s):  
Sharon B. Hamill ◽  
Nancy Roherty ◽  
Kristi Dehnert ◽  
Julia Laplante ◽  
Stacey Race
Keyword(s):  
Ethnic Group ◽  
Group Differences ◽  
Ethnic Group Differences

Parent Experiences of a Family-Centered Intervention: Examining Ethnic Group Differences

2010 ◽  
Author(s):  
Cristina E. Bustos ◽  
Benedict T. McWhirter ◽  
Elizabeth A. Stormshak ◽  
Thomas J. Dishion ◽  
Kathryn Kavanagh ◽  
...  
Keyword(s):  
Ethnic Group ◽  
Group Differences ◽  
Parent Experiences ◽  
Ethnic Group Differences ◽  
Family Centered

Professional Stress among Junior Commissioned Officers and Non Commissioned Officers of Indian Military Intelligence – A Case Study

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 133-145
Author(s):  
Dr. S. S. Nirmala ◽  
Dr. N. Kogila ◽  
T. Porkodi
Keyword(s):  
Factor Analysis ◽  
Correlation Matrix ◽  
Null Hypothesis ◽  
Primary Data ◽  
Questionnaire Data ◽  
Military Intelligence ◽  
Sphericity Test ◽  
Professional Stress ◽  
Structured Questionnaire

The present study is focusing on the professional stress on organisation among the Junior Commissioned Officers (JCOs) and Non-Commissioned Officers (NCOs) of Indian Military Intelligence. 384 samples of Military Intelligence personnel will be taken for this study. Sources of data is Primary data include a structured questionnaire. Data was collected through structured questionnaire and measure through Likert’s scale, using KMO measure of sampling adequacy, Cronbach’s alpha for checking internal consistency, Bartlett sphericity test for testing the null hypothesis and various factor analysis including Eigenvalues, Extract square Sum loading, variance percent and Accumulation percent values relative comparison and Correlation matrix will be used as tools to arrive at desired results and statistical interpretations. The hypotheses put for test and the resultant values at 0.01 and 0.05 (for different factors) clearly indicated that there is an existence of association between different level of cadres and professional stress among personnel of Indian Military Intelligence. The authority who can formulate the rules and regulations and binding them on the lower cadres and professions to accept and adopt.

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