Flashcards in Stats Deck (83)

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61

## one way ANOVA - F ratio-

### the sum of squares are converted to mean squares by diving each sum of squares by the appropriate degrees of freedom, the degrees of freedom are used not only to identify the crucial value

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## Factorial ANOVA

### is an extension of the one way ANOVA and is used when a study includes two or more independent variables.

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## Randomized block ANOVA

### type of factorial /ANOVA that is employed when blocking has been used to control an extraneous variable, it involves treating the extraneous variable as an independent variable so that its main and interaction effects can be spastically analyzed , increases stastical power by reducing within group variability

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## Analysis of Covariance ANCOVA

### combines the analysis of variance with regression analysis and allows an investigator to control an extraneous variable by stastically removing the portion of variability in the dependent variable that is due to the extraneous variable , removing the effects of an extraneous variable the ANCOVA reduces wihin group variability

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## Mixed( split plot) ANOVA

### appropriate test for studies using a mixed design in which at least one IV is a between groups variable and one IV is a within subjects variable

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## Trend Analysis

### used when the study involves one or more quanitative independent variables, and the researcher wants to evaluate the shape or form of the relationship between the independent and dependent variable , results indicate whether or not there is a statically significant linear or nonlinear relationship between the variables

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## Multivariate Analysis of Variance MANOVA

### used when a study includes one or more independent variables and two or more dependent variables that are each measured on an interval or ratio scale, it allows an investigation to simulanteounsly assesses the effects of the independent variable on all of the dependent variables and helps control the experimentwise error

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## Cohen's d

### is a measure of the difference between two groups in terms of standard deviation units, calculated by subtracting the mean of one group from the mean of the other group and dividing the result by a pooled standard deviation for the two groups

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## Eta squared

### indicates the percent of variance in the outcome variables that is accounted for by variance in the treatment

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## Pearson R

### interval or ratio correlation coefficent

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## Spearman Rho

### rank ordered correlation coefficent

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## Point Biseral

### True dichotomoy ( male/female) and interval or ratio

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## Eta

### interval or ratio, used when the relationship between variables is nonlinear

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## Degree of Association

### a correlation coefficent can be interpreted directly in terms of degrees of association , the closer the coefficent is to either to -1.0 to 1.0 the stronger the association between variables, the closer it is to 0, the weaker the association

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## Shared Variability

### when a correlation coefficent represents the degree of association between two different variables, it can be squared to obtain a coefficent of determenation , indicates the proportion of variability in Y that is explained by or accounted for by variability in X.

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## Regression Analysis

### goal is to use a predictor to predict or estimate performance on a criterion, the technique that allows such predictions to be made when there is one predictor X and one criterion Y

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## Mutiple Regression

### appropriate multivariate technique when two or more continuous or discrete predictors will be used to predict status on a single continuous criterion, use of multiple regression is based on the assumption that the relationship between variables is linear

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## Multicollinearity

### a high correlation with two or more predictors *not desirable

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## Cross Validation/Shrinkage

###
size of the correlation coefficent tends to shrink and the predictive accuracy of the regression equation decreases

Shrinkage- occurs because the regression weights which are used in the calculation of R as ell as in the regression equation, greatest when sample is mall, and number of predictors is large

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## Discriminant Function Analysis

### discriminant analysis and is the appropriate technique when two or more continuous predictors will be used to predict or estimate a persons status or a single discrete criterion

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## Path Analysis

### can be considered an extension of mutiple regression, translating the theory about the casual relationships among a set of variables into a path diagram

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## LISREL

### linear structural relations anaylsis- can be used when a casual model includes recursive and non recurive paths, takes into account the latent traits

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