Study your flashcards anywhere!
Download the official Cram app for free >
 Shuffle
Toggle OnToggle Off
 Alphabetize
Toggle OnToggle Off
 Front First
Toggle OnToggle Off
 Both Sides
Toggle OnToggle Off
 Read
Toggle OnToggle Off
How to study your flashcards.
Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key
Up/Down arrow keys: Flip the card between the front and back.down keyup key
H key: Show hint (3rd side).h key
A key: Read text to speech.a key
37 Cards in this Set
 Front
 Back
What is the standard error of the mean?

When data is collected from many samples of equal size, the distribution of data means would be "normal" and any deviation in the means would be wrror. The average deviation of multiple means of numerous samples is the std. error of the mean.


What is the central limit theorem?

Assuming an infinite # of equal sized samples are drawn from a population, the SD and mean of the sample means distribution would be equal to the population mean and standard deviation divided by the square root of the sample size.


What is the rejection region? It's size depends on what?

THe tail ends of a normal curve  it is the region of unlikely values because it is unlikely a researcher would obtain these values by chance. When values fall in this region you REJECT the null hypothesis. It's size depends on alpha.


When you reject the null and it turns out to be a mistake, this is known as ___.

Type I error


When the null is accepted and it is a mistake, this is known as ____.

Type II error


What is power? ANd how do you increase it?

The ability to correctly reject the null hypothesis. Increase sample size, increase treatment effect, decrease error, use parametric statistical tests, and onetailed.


WHen selecting a statistical test of difference, how would the DV influence which test you use?

w/ nominal or ordinal DV = non parametric tests (Chi sq, Mann Whitney, Wilcoxin)
w/ interval or ratio DV = ttest or ANOVA parametric tests W/2+ DV's = multivariate 

Name two assumptions for parametric tests.

Homoscedasticity (similar variability) & normal distribution


How would you ensure that there is no correlation between the groups being tested?

Random assignment. See page 30 for a good chart


How do you calculate df for the following chi square tests... single sample chi square and multiple sample chi square.

Single sample df  #columns  1
Multiple samples df = (#rows1) X (#columns 1) 

How do you determine df form ttest single sample, matched or correlated samples, or independent samples?

ttest single sample df = N  1; ttest for matched samples df = # pairs  1; ttest for indep samples df = N2


How do you calculate the three types of df for one way ANOVA's?

df total = N  1
df b/n groups = #groups  1 df w/n groups = df total  df b/n 

Chi square expectancy frequency for a cell formula?

[(sum of rows) X (sum of columns)]/N


Chi square expectancy frequency when you are given N and groups?

N/total # of cells


Why would you want to run one ANOVA versus several ttests?

To minimize type I error.


How do you calculate the F ratio?

Mean square between groups/MS within groups. Mean square is the average variability within and between groups.


Of the post hoc test options for one way ANOVA's, which is the most conservative and which protects the least from Type I error?

Scheffe is the most conservative with Tukey coming in next and Fisher's LSD protects least from type I error.


How many F ratios in a 2way ANOVA?

3  one for each IV and one for the interaction.


When interpreting a 2way ANOVA, what do you look for first and then second?

First look for the interaction effect and if no interaction effect examine the main effects.


When would you want to focus on a trend analysis?

When the IV is quantitative, frequently the outcome is nonlinear so we become more interested in the trend of the data.


What is the correlation coefficient?

Describes the relationship b/n X and Y in terms of strength (0  1.0) and directions ( or +).


What is the coefficient of determination?

Square the correlation coefficient. It represents the amount of shared variability in Y by X.


How is a simple linear regression derived?

Based on the "line of best fit" through the scatterplot and is calculated with the "least squares criterion."


What are the three assumptions of bivariate tests?

1. Linear relation b/n X and Y.
2. Homoscedasticity 3. Unrestricted range of scores on both X and Y. 

What is a zero order correlation and a partial correlation?

Zero order  the relaion of X and Y without extraneous variables affecting them.
Partial correlation  looks at a relationship of 2 variables with the effect of a 3rd variable removed. 

Semipartial correlation is...

relationship between 2 variables w/ influence of 3rd variable on either X or Y taken out.


In multiple R, how many IV's and DV's what qualities do the X and Y variables have?

1+ IV's, 1 DV, Y is always interval or ratio, 1+ is interval or ratio


What is the coefficient of multiple determination?

R squared  an index of the amount of variability in Y accounted for by the combo of all X's.


What is multiple regression equation?

Y = a + b1X1 + b2X2 + b3X3...


What is multicollinearity?

correlation between IV's or the predictors.


What is the difference between stepwise and hierarchical regression?

In stepwise regression, predictors are added to the equation in the order of strength of correlation with DV in ascending or descending order. Hierarchical regression is when the researcher adds IV's in order most consistent with theory.


When would you use Canonical Correlation?

Allows you to evaluate the relationship between 2 SETS of variables. Allos for prediction of 2 criterion scores based on 2 predictor scores.


When would you use a discriminant function analyses?

2+ predictors and 1 criterion  allows prediction of membership in group. Use this when criterion is nominal rather than interval or ratio.


What is used to predict a categorical criterion based on categorical predictors?

Loglinear analysis


What test is used to test a theoretical pathway for significance and relationship strength?

Path analysis. Path coefficients are calculated with a series of multiple regressions.


LISREL...

Linear Structural Relations  structural equation modeling. Determines whether the path diagrams are correct.


Name two tests of structure:

Cluster analysis  gather data on a variety of DV's and look for natural subgroups.
Factor analysis. 