'Bivariate correlation' diaporamas de présentation

Bivariate correlation - PowerPoint PPT Presentation

Chair : Dr. Marie Simonsson Members : Dr. Ralph Carlson Dr. Anita Pankake Dr. Karen Watt

Chair : Dr. Marie Simonsson Members : Dr. Ralph Carlson Dr. Anita Pankake Dr. Karen Watt

Chair : Dr. Marie Simonsson Members : Dr. Ralph Carlson Dr. Anita Pankake Dr. Karen Watt. AN INVESTIGATION OF HIGH SCHOOL DUAL ENROLLMENT PARTICIPATION AND ALLIED HEALTH PROGRAM ENROLLMENT IN A SOUTH TEXAS UNIVERSITY. Dissertation Defense by Marti Flores Fall 2010 *Define DE Programs

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618 views • 53 slides
Data Analysis : Correlation and regression analysis

Data Analysis : Correlation and regression analysis

Data Analysis : Correlation and regression analysis. Correlation. Correlation measures to what extent two (or more) variables are related Correlation expresses a relationship that is not necessarily precise (e.g. height and weight)

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1.77k views • 36 slides
Correlation

Correlation

Correlation. Bivariate statistics. What is Correlation?. When a researcher want to measure the association between variables Identifying the relationships and summarizing them Involves interval-level variables. Correlation . Designed to answer the following questions:

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505 views • 27 slides
Wrap-up and Review

Wrap-up and Review

Wrap-up and Review. PSY440 July 8, 2008. Repeated Measures & Mixed Factorial ANOVA. Basics of repeated measures factorial ANOVA Using SPSS Basics of mixed factorial ANOVA Using SPSS Similar to the between groups factorial ANOVA Main effects and interactions

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247 views • 24 slides
Canonical Correlation

Canonical Correlation

Canonical Correlation. Mechanics. Data. The input correlation setup is ? The canonical correlation matrix is the product of four correlation matrices, between DVs (inverse of R yy ,), IVs (inverse of R xx ), and between DVs and IVs

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543 views • 10 slides
PS34: An Analysis of Microbial Spore Recovery Methods for Sampling Plan Validation

PS34: An Analysis of Microbial Spore Recovery Methods for Sampling Plan Validation

PS34: An Analysis of Microbial Spore Recovery Methods for Sampling Plan Validation Kyle C. Griffith, Patrick L. Gurian, Jin Wen. Civil, Architectural and Environmental Engineering Drexel University Philadelphia, PA Phone: 215.895.1758 Fax: 215.8951363. Results. Discussion. Abstract.

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128 views • 1 slides

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