Stability over Age and Sex of Children's Responses to Embedded Figures Test

1987 ◽  
Vol 64 (2) ◽  
pp. 399-406 ◽  
Author(s):  
Robert C. Hardy ◽  
John Eliot ◽  
Kenneth Burlingame
Keyword(s):  
Factor Analysis ◽  
Principal Axis ◽  
Relevant Factor ◽  
Embedded Figures Test ◽  
Stable Factor ◽  
Embedded Figures ◽  
Principal Axis Factor Analysis ◽  
Similar Factor ◽  
Age And Sex ◽  
Principal Axis Factor

240 children in Grades K to 4 were administered the entire Children's Embedded Figures Test to determine whether similar factor structures are obtained from samples of different sex and age as well as when the population is randomly split. Data were analyzed by principal axis factor analysis and relevant factor structures were compared using Veldman's 1967 program “Relate”. There was one stable factor which was consistent across sex and accounted for about 19% of the variance. Results were inconsistent across grades and indicated a possible lack of agreement of factor structures.

The Hopelessness Scale: A Factor Analysis

2007 ◽  
Vol 100 (2) ◽  
pp. 375-378 ◽  
Author(s):  
Maurizio Pompili ◽  
Roberto Tatarelli ◽  
James R. Rogers ◽  
David Lester
Keyword(s):  
Factor Analysis ◽  
Principal Axis ◽  
Factor Model ◽  
Psychiatric Patients ◽  
Confirmatory Factor ◽  
Beck Hopelessness Scale ◽  
Principal Axis Factor Analysis ◽  
Correlated Factors ◽  
Principal Axis Factor

A confirmatory factor analysis of the Beck Hopelessness Scale in a sample of 340 Italian students did not support the 3-factor model reported for previous samples of psychiatric patients. A follow-up principal axis factor analysis yielded two interpretable correlated factors, suggesting that the structure of the scale may differ across clinical and nonclinical groups and as a function of nationality.

A Dimensional Analysis of the Yale-Brown Obsessive Compulsive Scale

1992 ◽  
Vol 70 (1) ◽  
pp. 239-240 ◽  
Author(s):  
William Fals-Stewart
Keyword(s):  
Factor Analysis ◽  
Dimensional Analysis ◽  
Principal Axis ◽  
Obsessive Compulsive ◽  
Principal Axis Factor Analysis ◽  
Promax Rotation ◽  
Principal Axis Factor

A principal axis factor analysis with a Promax rotation was performed on the Yale-Brown Obsessive Compulsive Scale. Although the scale has separate obsession and compulsion indices, only one factor was extracted. The psychometric implications of this finding are discussed.

Happiness and Self-Actualization under Conditions of Strain: A Sample of Homeless Men

2000 ◽  
Vol 90 (1) ◽  
pp. 191-203
Author(s):  
John R. Sumerlin ◽  
Charles M. Bundrick
Keyword(s):  
Factor Analysis ◽  
Principal Axis ◽  
Human Potential ◽  
Existential Psychology ◽  
Homeless Men ◽  
Self Actualization ◽  
Principal Axis Factor Analysis ◽  
Principal Axis Factor

Maslow's contention that happiness includes striving and is more than a hedonistic construct was tested in a sample of 146 homeless men. Since all participants were homeless, environmental experiences can be considered as largely held constant, allowing an examination of personality and happiness under conditions of strain. Principal axis factor analysis with promax and oblique rotations placed scores from the measures Unhappy–Happy and the Brief Index of Self-actualization on the same factor which supported Maslow's idea. Humanistic-existential psychology has interest in the happiness construct particularly regarding the development of human potential.

scholarly journals Perceptions of the dimensions of the fairness of affirmative action: A pilot study

2006 ◽  
Vol 37 (3) ◽  
pp. 53-65 ◽  
Author(s):  
L. P. Vermeulen ◽  
M. Coetzee
Keyword(s):  
South Africa ◽  
Factor Analysis ◽  
Affirmative Action ◽  
Principal Axis ◽  
Financial Institution ◽  
Effective Management ◽  
Varimax Rotation ◽  
Principal Axis Factor Analysis ◽  
The Relationship ◽  
Principal Axis Factor

The purpose of this study was to identify the dimensions of affirmative action (AA) fairness in order to develop a valid and reliable questionnaire to assess employees’ perceptions of the fairness of AA decisions and practices, and to explore the relationship between employees’ biographical characteristics and their perceptions of the dimensions of AA fairness. The research sample consisted of 349 participants connected to a large financial institution in South Africa. Principal axis factor analysis with a varimax rotation was performed on the data in order to uncover the different factors that employees perceived to be important for the fair and just management of affirmative action practices. Four factors define AA fairness: namely interactional, procedural (input), procedural (criteria) and distributive justice. One-way MANOVAs and associated ANOVAs revealed that the importance of the justice factors in AA fairness differed significantly across ethnicity and staff category. This study enables a better understanding of the dimensionality of AA fairness. It should ultimately contribute to more effective management of AA in the workplace.

Factor Analytic Support for Psychosocial and Vocational Mentoring Functions

1985 ◽  
Vol 57 (2) ◽  
pp. 627-630 ◽  
Author(s):  
Melanie R. Schockett ◽  
Marilyn Haring-Hidore
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Principal Axis ◽  
Prior Work ◽  
Oblique Rotation ◽  
Factor Analytic ◽  
Mentoring Functions ◽  
Two Factors ◽  
Principal Axis Factor Analysis ◽  
Principal Axis Factor

Eight 50-word vignettes which portrayed either psychosocial or vocational mentoring functions were presented to 144 college students who rated the desirability of each function on a scale of 1 to 7. A principal axis factor analysis with oblique rotation yielded two factors, one on which the psychosocial functions loaded more heavily (and which accounted for 33.4% of the variance) and one on which the vocational functions loaded more heavily (and which accounted for an additional 5.9% of the variance). The results may help researchers formulate different questions about mentoring than the basic questions which have guided prior work.

Factor Structure of Shortened Children's Embedded Figures Test for Different Age Groups

1986 ◽  
Vol 63 (2) ◽  
pp. 479-486 ◽  
Author(s):  
Robert C. Hardy ◽  
John Eliot ◽  
Kenneth Burlingame
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Total Population ◽  
Age Groups ◽  
Total Sample ◽  
Factor Loadings ◽  
Embedded Figures Test ◽  
Embedded Figures

240 children, 24 of each sex in Grades K to 4, were administered the entire Children's Embedded Figures Test, regardless of the failure rule. Factor loadings for items from a shortened version of the test were examined for a randomly divided sample, a sample divided by sex, a sample divided in two grade groupings, and an undivided total population. Stable factors were found for the total sample and when the sample was divided by sex. Analysis indicated that the factor analysis of the shortened form was consistent with previous analyses using the total scale.

The LIVES Daily Hassles Scale and Its Relation to Life Satisfaction

Assessment ◽  
2021 ◽  
pp. 107319112110478
Author(s):  
Shagini Udayar ◽  
Ieva Urbanaviciute ◽  
Davide Morselli ◽  
Grégoire Bollmann ◽  
Jérome Rossier ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Factor Analysis ◽  
Principal Axis ◽  
Daily Hassles ◽  
Hierarchical Regression ◽  
Panel Surveys ◽  
Five Factors ◽  
Confirmatory Factor ◽  
Principal Axis Factor Analysis ◽  
German Speaking

Although daily hassles have been of interest since the 1980s, only a few tools have been developed to assess them. Most of them are checklists or open-ended questions that are demanding for participants in panel surveys. Therefore, to facilitate daily hassles integration into large surveys, the aim of this study was to present a new tool assessing daily hassles, the LIVES–Daily Hassles Scale (LIVES-DHS), and to examine its relation to life satisfaction, in a sample of 1,170 French- and German-speaking adults living in Switzerland. In a first random subsample, we conducted a principal axis factor analysis, and the results suggested a five-factor solution. Furthermore, we conducted a confirmatory factor analysis on a second random subsample, and it supported the hierarchical factor structure of the scale. The LIVES-DHS consists of 18 items represented by five factors that describe five sources of daily hassles: financial, physical, relational, environmental, and professional. The bivariate correlations showed that the LIVES-DHS could differentiate the concept of daily hassles from associated concepts. Finally, the hierarchical regression showed that daily hassles negatively predicted life satisfaction and added a significant incremental variance beyond that accounted for by age, gender, household income, education level, and personality traits.

scholarly journals Musical Activity and Well-being

2018 ◽  
Vol 35 (4) ◽  
pp. 454-474 ◽  
Author(s):  
Amanda E. Krause ◽  
Jane W. Davidson ◽  
Adrian C. North
Keyword(s):  
Principal Axis ◽  
Quantitative Measure ◽  
Well Being ◽  
Future Research ◽  
Music Participation ◽  
Musical Activity ◽  
Self Actualization ◽  
Principal Axis Factor Analysis ◽  
And Coping ◽  
Principal Axis Factor

A relationship between participation in musical activity and well-being has frequently been observed in recent research reports. Of these, some propose various well-being-related correlates of musical participation, but the varying samples and foci leave researchers without a reasoned appraisal of these correlates or a data-driven categorization of them. To address this lacuna, the current research reviewed of existing literature, identifying 562 benefits of well-being benefits perceived to be associated with musical participation. These items were used as the basis for developing a new quantitative measure to evaluate the perceived benefits of well-being arising from music participation. Principal axis factor analysis of data using this new, 36-item measure identified five discrete dimensions: mood and coping, esteem and worth, socialization, cognition, and self-actualization. The development of this well-being measure addresses a gap in the research and provides a tool for future research concerning musical participation.

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