# Making Sense of Advanced Statistical Procedures in Research Articles - PowerPoint PPT Presentation

PPT – Making Sense of Advanced Statistical Procedures in Research Articles PowerPoint presentation | free to download - id: 297458-ZDc1Z

The Adobe Flash plugin is needed to view this content

Get the plugin now

View by Category
Title:

## Making Sense of Advanced Statistical Procedures in Research Articles

Description:

### Both involve adding variables a stage at a time and checking for significant ... Independent and Dependent Variables. Independent variable. Predictor ... – PowerPoint PPT presentation

Number of Views:54
Avg rating:3.0/5.0
Slides: 21
Provided by: Elliot57
Category:
Transcript and Presenter's Notes

Title: Making Sense of Advanced Statistical Procedures in Research Articles

1
Chapter 17
• Making Sense of Advanced Statistical Procedures
in Research Articles

2
Brief Review of Multiple Regression
• Predicting scores on a criterion variable from
two or more predictor variables
• Proportion of variance accounted for (R2)

3
Hierarchical and Stepwise Multiple Regression
• Hierarchical multiple regression
• Examine contribution to the prediction of each
variable added in a sequential fashion
• Stepwise Multiple regression
• Controversial exploratory procedure
• Predictor variable with best prediction located
• Find next predictor variable that gives highest
R2 with first predictor variable
• Repeat until best predictor variable does not
give significant improvement

4
Hierarchical and Stepwise Multiple Regression
• Both involve adding variables a stage at a time
and checking for significant improvement of
prediction
• Theory/plan determines order of variables in
hierarchical regression
• No initial plan in stepwise regression
• Useful in exploratory and applied research

5
Partial Correlation
• Association between two variables, over and above
influence of one or more other variables
• Holding constant, partialing out, controlling
• Partial correlation coefficient

6
Reliability
• Reliability
• Test-retest reliability
• Split-half reliability
• Cronbachs alpha (a)
• Interrater reliability

7
Factor Analysis
• Measured large number of variables
• Identifies variables that clump together
• Factor
• Several approaches to factor analysis
• Naming the factors

8
Causal Modeling
• Measured large number of variables
• Does the pattern of correlations match theory of
which variables cause which?
• Path analysis
• Path
• Path coefficient

9
Causal Modeling
• Path analysis

10
Causal Modeling
• Structural equation modeling
• Elaboration of path analysis
• Fit index
• e.g., RMSEA
• Latent variable
• Measured variable

11
Causal Modeling
• Structural equation modeling

12
Causal Modeling
• Structural equation modeling

13
Causal Modeling
• Limitations
• Other patterns of causality possible
• Alternative theories
• Correlation and causality
• Linear relationships
• Restriction in range

14
Independent and Dependent Variables
• Independent variable
• Predictor variable
• Dependent variable
• Criterion variable

15
Analysis of Covariance (ANCOVA)
• ANOVA adjusting the dependent variable for effect
• Analogous to partial correlation
• Covariate

16
Multivariate Analysis of Variance (MANOVA) and
Covariance (MANCOVA)
• Multivariate statistics
• More than one dependent variable
• Multivariate analysis of variance (MANOVA)
• ANOVA with more than one dependent variable
• Univariate ANOVA

17
Multivariate Analysis of Variance (MANOVA) and
Covariance (MANCOVA)
• Multivariate analysis of covariance (MANCOVA)
• ANCOVA with more than one dependent variable
• MANOVA with covariates

18
Overview of Statistical Techniques
19
Controversy Should Statistics be Controversial?
• Fisher
• Neyman
• Pearson

20
Reading Results Using Unfamiliar Techniques
• Dont panic!
• Look for a p level
• Look for pattern of results that is considered
significant
• Look for degree of association or size of the
difference
• Look up in statistics book
• Take more statistics courses!