Leonard A Marascuilo
Dados Biográficos
| ID | 1476733 |
|---|---|
| NOME | Leonard A Marascuilo |
| PRENOMES | Leonard A |
| SOBRENOME | Marascuilo |
| ASSINATURA | MARASCUILO L A |
| AFILIAÇÕES | University of California, Berkeley |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 28 |
| TOTAL DE CITAÇÕES | 42 |
| TOTAL COMO AUTOR | 28 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1964 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 1988 |
| ÍNDICE H | 3 |
Planned and post hoc methods for multiple-sample McNemar (1947) tests with missing data
Planned and post hoc methods for multiple-sample McNemar (1947) tests with missing data
Nonparametric alternatives for testing main effects hypotheses
Nonparametric alternatives for testing main effects hypotheses
Selection of pairwise multiple comparison procedures for parametric and nonparametric analysis of variance models
Selection of pairwise multiple comparison procedures for parametric and nonparametric analysis of variance models
Planned and Post Hoc Comparisons for Tests of Homogeneity where the Dependent Variable is Categorical and Ordered
Researchers in the social sciences tend to analyze two dimensional frequency tables by means of Karl Pearson's Chi-square test of homogeneity. This can be improved upon if the dependent variable represents an ordered qualitative characteristic. In particular, one can substitute the Kruskal-Wallis analysis of variance on ranks for the more familiar Karl Pearson test. An example is provided of this modification for a planned and post hoc analysis
Statistical tests for correlated proportions
Statistical tests for correlated proportions
A measure of association for selected nonparametric procedures
Interactions for dichotomous variables in repeated measures designs
Post hoc analysis of repeated measures interactions and gain scores
Interactions for dichotomous variables in repeated measures designs
Post hoc analysis of repeated measures interactions and gain scores
The Simultaneous Investigation of Interaction and Nested Hypotheses in Two-Factor Analysis of Variance Designs
A Type IV error, as introduced by Marascuilo and Levin (1970), refers to the incorrect interpretation of a correctly rejected hypothesis. It was suggested that Type IV errors may be found in abundance in factorial analysis of variance (ANOVA) designs, in particular in the interpretation of significant interactions. The source of such Type IV errors is two-fold: (1) researchers typically employ post hoc statistical procedures with an associated Ty…
The Meaning of the Word "Integration" to Seniors in a Multi-Racial High School
Since the Supreme Court decision in 1954 that separate schools for different races are inherently unequal the nation has moved in the direction of increased mixing in the schools. rhetoric used to bring about or prevent such mixing encompasses the concept of racial balance which in turn relies upon the terms desegregation and These words are often used interchangeably. Sometimes the usage betrays a particular social or political stance wherein ei…
The Effect of Factor Scores, Guttman Scores, and Simple Sum Scores on the Size of F Ratios in an Analysis O F Variance Design
Many questions in the social sciences reduce to a comparison of mean values across groups in a classical analysis of variance F test. Often the original data my come from a set of items in a questionnaire or personality inventory. When this occurs, some sort of data reduction, combining of items, or scaling procedure is first performed before the hypothesis of no difference in mean values across groups can be made. In many cases, this problem cau…
Type IV errors and Games
Statistical Methods for Behavioral Science Research
Tracking and Minority Student Attitudes and Performance
Type IV errors and interactions
Appropriate Post Hoc Comparisons for Interaction and Nested Hypotheses in Analysis of Variance Designs
PREVIOUS ARTICLEManipulating Abstract Thinking as a Subability to Problem Solving in the Context of an English Curriculum
The Critics of School Integration
Group Differences in the Perception of a Social Situation
Equality of Educational Opportunity
Appropriate Post Hoc Comparisons for Interaction and Nested Hypotheses in Analysis of Variance Designs
PREVIOUS ARTICLEManipulating Abstract Thinking as a Subability to Problem Solving in the Context of an English Curriculum
Large-sample multiple comparisons
Equality of Educational Opportunity
Type IV errors and interactions
Nonparametric Post Hoc Comparisons for Trend
Statistical tests for correlated proportions
A measure of association for selected nonparametric procedures
The Simultaneous Investigation of Interaction and Nested Hypotheses in Two-Factor Analysis of Variance Designs
A Type IV error, as introduced by Marascuilo and Levin (1970), refers to the incorrect interpretation of a correctly rejected hypothesis. It was suggested that Type IV errors may be found in abundance in factorial analysis of variance (ANOVA) designs, in particular in the interpretation of significant interactions. The source of such Type IV errors is two-fold: (1) researchers typically employ post hoc statistical procedures with an associated Ty…
Tracking and Minority Student Attitudes and Performance
Survey of 1961-1962 Congressional Polls
Survey of 1961-1962 Congressional Polls
Large-sample multiple comparisons
Equality of Educational Opportunity
Nonparametric Post Hoc Comparisons for Trend
Group Differences in the Perception of a Social Situation
The Critics of School Integration
Appropriate Post Hoc Comparisons for Interaction and Nested Hypotheses in Analysis of Variance Designs
PREVIOUS ARTICLEManipulating Abstract Thinking as a Subability to Problem Solving in the Context of an English Curriculum
Tracking and Minority Student Attitudes and Performance
Type IV errors and interactions
The Effect of Factor Scores, Guttman Scores, and Simple Sum Scores on the Size of F Ratios in an Analysis O F Variance Design
Many questions in the social sciences reduce to a comparison of mean values across groups in a classical analysis of variance F test. Often the original data my come from a set of items in a questionnaire or personality inventory. When this occurs, some sort of data reduction, combining of items, or scaling procedure is first performed before the hypothesis of no difference in mean values across groups can be made. In many cases, this problem cau…
Type IV errors and Games
Statistical Methods for Behavioral Science Research
The Meaning of the Word "Integration" to Seniors in a Multi-Racial High School
Since the Supreme Court decision in 1954 that separate schools for different races are inherently unequal the nation has moved in the direction of increased mixing in the schools. rhetoric used to bring about or prevent such mixing encompasses the concept of racial balance which in turn relies upon the terms desegregation and These words are often used interchangeably. Sometimes the usage betrays a particular social or political stance wherein ei…
The Simultaneous Investigation of Interaction and Nested Hypotheses in Two-Factor Analysis of Variance Designs
A Type IV error, as introduced by Marascuilo and Levin (1970), refers to the incorrect interpretation of a correctly rejected hypothesis. It was suggested that Type IV errors may be found in abundance in factorial analysis of variance (ANOVA) designs, in particular in the interpretation of significant interactions. The source of such Type IV errors is two-fold: (1) researchers typically employ post hoc statistical procedures with an associated Ty…
Interactions for dichotomous variables in repeated measures designs
Post hoc analysis of repeated measures interactions and gain scores
Interactions for dichotomous variables in repeated measures designs
Post hoc analysis of repeated measures interactions and gain scores
Planned and Post Hoc Comparisons for Tests of Homogeneity where the Dependent Variable is Categorical and Ordered
Researchers in the social sciences tend to analyze two dimensional frequency tables by means of Karl Pearson's Chi-square test of homogeneity. This can be improved upon if the dependent variable represents an ordered qualitative characteristic. In particular, one can substitute the Kruskal-Wallis analysis of variance on ranks for the more familiar Karl Pearson test. An example is provided of this modification for a planned and post hoc analysis
Statistical tests for correlated proportions
Statistical tests for correlated proportions
A measure of association for selected nonparametric procedures
Selection of pairwise multiple comparison procedures for parametric and nonparametric analysis of variance models
Selection of pairwise multiple comparison procedures for parametric and nonparametric analysis of variance models
Nonparametric alternatives for testing main effects hypotheses
Psychology (25 obras) · Mathematics (21 obras) · Statistics (21 obras) · Econometrics (19 obras) · Computer Science (10 obras) · Advanced Statistical Methods and Models (9 obras) · Analysis of variance (8 obras) · Post hoc (8 obras) · Post-hoc analysis (8 obras) · Medicine (7 obras)