Albert A Cota
Biographic Data
| ID | 4236804 |
|---|---|
| NAME | Albert A Cota |
| GIVEN NAMES | Albert A |
| FAMILY NAME | Cota |
| SIGNATURE | COTA A A |
| AFFILIATIONS | University of Toronto |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 25 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1986 |
| LATEST PUBLICATION YEAR | 1995 |
| H-INDEX | 3 |
An Error in Cota, Dion, and Evans (1993) Produced by a GLS Error in EQS Version 3.00
An error was found in an article published by the authors in this journal in 1993 entitled "A Reexamination of the Structure of the Gross Cohesiveness Scale." The value of .981 for the Bentler-Bonett Normed Fit Index (NFI) that was reported is incorrect. This research note was written to correct the error, which was caused by an inaccurate null model chi-square produced by the generalized least-squares (GLS) method of EQS Version 3.00. Implicatio…
A Reexamination of the Structure of the Gross Cohesiveness Scale
Psychologists have had a long-standing interest in the construct of group cohesion. Yet, how this construct should be defined and measured -remains a controversial question. A central issue in the debate concerns the dimensionality of group cohesion. Recently, some researchers have adopted unidimensional models of this construct, whereas others have used multidimensional models of the same construct. In this study, the structure of the Gross (195…
Comparing Different Methods for Implementing Parallel Analysis: A Practical Index of Accuracy
Of the various methods and rules-of-thumb for deciding the 4correct" number of components to retain in principal components analysis, parallel analysis is arguably the most useful. Recently, researchers have become interested in developing alternative methods of implementing parallel analysis and of comparing their accuracy. The accuracy of three methods of implementing parallel analysis with mean eigenvalues (regression, interpolation, and compu…
Interpolating 95Th Percentile Eigenvalues from Random Data: An Empirical Example
Selecting the "correct" number of components to retain in principal components analysis is crucial. Parallel analysis, which requires a comparison of eigenvalues from observed and random data, is a highly promising strategy for making this decision. This paper focuses on linear interpolation, which has been shown to be an accurate method of implementing parallel analysis. Specifically, this article contains tables of 95th percentile eigenvalues f…
Factor structure of the Sex-Role Ideology Scale: Introducing a short form
The Ms. Stereotype: Its Domain and the Role of Explicitness in Title Preference
It was hypothesized that (a) a woman who prefers Ms. as her title of address would be seen by perceivers of both sexes as being higher on positive as well as negative instrumental qualities and also lower on positive and negative qualities of expressiveness than a woman who prefers a traditional title of address (i.e., Miss and Mrs.), and (b) explicit preference for the woman's title of address would elicit stronger trait attributions for women w…
Construct validity of a diagnostic ratio measure of gender stereotypes
A Regression Equation for the Parallel Analysis Criterion in Principal Components Analysis: Mean and 95th Percentile Eigenvalues
Monte Carlo research increasingly seems to favor the use of parallel analysis as a method for determining the "correct" number of factors in factor analysis or components in principal components analysis. We present a regression equation for predicting parallel analysis values used to decide the number of principal components to retain. This equation is appropriate for predicting criterion mean eigenvalues and was derived from random data sets co…
Salience of gender and sex composition of ad hoc groups: An experimental test of distinctiveness theory
Does the salience of an individual group member's gender depend on the group's sex composition? According to McGuire's distinctiveness theory, even for momentary or ad hoc groups, gender would be more salient in the spontaneous self-concepts of members of the minority sex in mixed-sex groups than in other conditions. To test this prediction experimentally, we manipulated the sex composition of 3-peison groups, which resulted in four types: All ma…
Salience of gender and sex composition of ad hoc groups: An experimental test of distinctiveness theory
Does the salience of an individual group member's gender depend on the group's sex composition? According to McGuire's distinctiveness theory, even for momentary or ad hoc groups, gender would be more salient in the spontaneous self-concepts of members of the minority sex in mixed-sex groups than in other conditions. To test this prediction experimentally, we manipulated the sex composition of 3-peison groups, which resulted in four types: All ma…
Factor structure of the Sex-Role Ideology Scale: Introducing a short form
The Ms. Stereotype: Its Domain and the Role of Explicitness in Title Preference
It was hypothesized that (a) a woman who prefers Ms. as her title of address would be seen by perceivers of both sexes as being higher on positive as well as negative instrumental qualities and also lower on positive and negative qualities of expressiveness than a woman who prefers a traditional title of address (i.e., Miss and Mrs.), and (b) explicit preference for the woman's title of address would elicit stronger trait attributions for women w…
Salience of gender and sex composition of ad hoc groups: An experimental test of distinctiveness theory
Does the salience of an individual group member's gender depend on the group's sex composition? According to McGuire's distinctiveness theory, even for momentary or ad hoc groups, gender would be more salient in the spontaneous self-concepts of members of the minority sex in mixed-sex groups than in other conditions. To test this prediction experimentally, we manipulated the sex composition of 3-peison groups, which resulted in four types: All ma…
A Regression Equation for the Parallel Analysis Criterion in Principal Components Analysis: Mean and 95th Percentile Eigenvalues
Monte Carlo research increasingly seems to favor the use of parallel analysis as a method for determining the "correct" number of factors in factor analysis or components in principal components analysis. We present a regression equation for predicting parallel analysis values used to decide the number of principal components to retain. This equation is appropriate for predicting criterion mean eigenvalues and was derived from random data sets co…
The Ms. Stereotype: Its Domain and the Role of Explicitness in Title Preference
It was hypothesized that (a) a woman who prefers Ms. as her title of address would be seen by perceivers of both sexes as being higher on positive as well as negative instrumental qualities and also lower on positive and negative qualities of expressiveness than a woman who prefers a traditional title of address (i.e., Miss and Mrs.), and (b) explicit preference for the woman's title of address would elicit stronger trait attributions for women w…
Construct validity of a diagnostic ratio measure of gender stereotypes
A Reexamination of the Structure of the Gross Cohesiveness Scale
Psychologists have had a long-standing interest in the construct of group cohesion. Yet, how this construct should be defined and measured -remains a controversial question. A central issue in the debate concerns the dimensionality of group cohesion. Recently, some researchers have adopted unidimensional models of this construct, whereas others have used multidimensional models of the same construct. In this study, the structure of the Gross (195…
Comparing Different Methods for Implementing Parallel Analysis: A Practical Index of Accuracy
Of the various methods and rules-of-thumb for deciding the 4correct" number of components to retain in principal components analysis, parallel analysis is arguably the most useful. Recently, researchers have become interested in developing alternative methods of implementing parallel analysis and of comparing their accuracy. The accuracy of three methods of implementing parallel analysis with mean eigenvalues (regression, interpolation, and compu…
Interpolating 95Th Percentile Eigenvalues from Random Data: An Empirical Example
Selecting the "correct" number of components to retain in principal components analysis is crucial. Parallel analysis, which requires a comparison of eigenvalues from observed and random data, is a highly promising strategy for making this decision. This paper focuses on linear interpolation, which has been shown to be an accurate method of implementing parallel analysis. Specifically, this article contains tables of 95th percentile eigenvalues f…
Factor structure of the Sex-Role Ideology Scale: Introducing a short form
An Error in Cota, Dion, and Evans (1993) Produced by a GLS Error in EQS Version 3.00
An error was found in an article published by the authors in this journal in 1993 entitled "A Reexamination of the Structure of the Gross Cohesiveness Scale." The value of .981 for the Bentler-Bonett Normed Fit Index (NFI) that was reported is incorrect. This research note was written to correct the error, which was caused by an inaccurate null model chi-square produced by the generalized least-squares (GLS) method of EQS Version 3.00. Implicatio…
Psychology (6 works) · Social Psychology (6 works) · Computer Science (5 works) · Developmental psychology (5 works) · Mathematics (5 works) · Social and Intergroup Psychology (5 works) · Statistics (5 works) · Social Psychology (4 works) · Construct validity (3 works) · Eigenvalues and eigenvectors (3 works)