Flashcards in Statistics and Research Deck (48)

Loading flashcards...

1

## Alpha (level of power)

### Alpha determines the probability of rejecting null hypothesis when it is true. The value of alpha is set by the researcher before collecting or analyzing data. Usually .01 or .05

2

## ANCOVA (Analysis of covariance)

### The analysis of covariance is a version of the ANOVA that is used to increase the efficiency of the analysis by statistically removing variability in the DV that is due to an extraneous variable. When using the ANCOVA, each person's score on the DV is adjusted on the basis of his score on the extraneous variable.

3

## Between-Groups Designs

### are experimental research designs that allow a researcher to assess the effects of the different levels of one or more IVs by administering each level or combination of levels to a different group of subjects.

4

## Between-Groups Designs

5

## Central Limit Theorem

### derived from the probability theory and predicts that the sampling distribution of the mean (a) will approach a normal shape as the sample size increases, regardless of the shape of the population distribution of scores, (b) has a mean equal to the population mean, (c) has the standard deviation equal to the deviation referred to as the standard error of the mean.

6

## Central Limit Theorem

7

## CHI-SQUARE TEST (Single/Multi Sample)

### is a nonparametric statistical test that is used with nominal data. It is a goodness of fit type of test. (O bserved - E xpected)squared divided by E xpected. The answer minus 1 gives degrees of freedom. Standard acceptance of Null Hyp starts after .05

8

## CHI-SQUARE TEST (Single/Multi Sample)

9

## Cluster Analysis

### is a multivariate technique used to group people or objects into a smaller number of mutually exclusive and exhaustive subgroups (clusters) based on their similarities.

10

## Cross-validation / Shrinkage

### refers to validating a correlation coefficient on a new sample. The correlation coefficient tends to shrink on cross-validation. Shrinkage is greatest when the original sample size is small and the number of predictors is large.

11

## Discriminant Function Analysis

### is the appropriate multivariate technique when 2 or more continuos predictors will be used to predict or estimate a person's status on a single discrete (nominal) criterion.

12

## Effect Size

### is the measure of magnitude of the relationship between the dependent and independent variables; useful for interpreting the relationship's clinical or practical significance. Use Cohen's d (difference between groups in standard deviations) or eta squared (percent of variance in DV accounted for by variance in the IV)

13

## Experimental Research (Quasi & True)

### conducting an empirical study to test hypothesis about relationships. TRUE experiments hallmark is random assignment into groups.

14

## Experimental Research (Quasi & True)

15

## Experimentwise Error Rate

### The prob of making a type I error. As the number of statistical comparisons increases so does the EER.

16

## External Validity

### The degree to which a study's results can be generalized to other people, settings and conditions. Threats include: pretest sensitization, multiple-treatment interference,

17

## Factorial ANOVA (2-way, 3-WAY ANOVA)

### appropriate when study includes 2 or more IVs and a single DV.

18

## Internal Validity

### Is it a causal relationship? Are we measuring what we say we are measuring?

19

## Internal Validity

### Is it a causal relationship? Are we measuring what we say we are measuring?

20

## Interval recording / Event Sampling

### method of behavioral sampling that involves dividing a period of time into discrete intervals and recording whether the behavior occurs in each interval. It's useful for behaviors that have no clear beginning or end. Event sampling is useful for rare occuring variables / behaviors.

21

## LISREL

### a structural equation (causal) modeling technique that is used to verify a predefined causal model or theory. Allows 2-way non-recursive paths and takes into account observed variables.

22

## MANOVA (Multivariate analysis of variance)

### One or more IVs and 2 or more DVs each measured on a different interval scale. Helps reduce experimentwise error rate, and increases power.

23

## Measures of Central Tendency

###
MMMR

Mean = Sum the divide by N

Mode = Which is repeated most, can be more than 1 or none.

Median = The number in the middle, if two add them together then divide by 2.

Range = line up in numerical order. subtract the smallest from the largest.

24

## Mixed ANOVA (Split-plot)

### used when study includes both between and within groups variables.

25

## Mixed Designs

### Type of factorial design in which at least 1 IV is a between-groups and one is a within-subjects variable.

26

## Mixed Designs

27

## Moderator and Mediator Variables

### Moderators affect the strength or direction of the relationship between IVs and DVs. If treatment is greater for men than women, gender is a moderator variable. Mediators explain for the relationships between IVs and DVs; Authoritative parents have positive impact on academics due to its impact on self-efficacy beliefs.

28

## Multiple Regression / Multicollinearity

### m-regression is a technique that is used for predicting a score on a continuous criterion based

29

## Multiple Regression / Multicollinearity

### m-regression is a technique that is used for predicting a score on a continuous criterion based performance of 2 or more continuous predictors. Multiple IVs impact on the DV. Ex: Distance traveled and number of deliveries impact on time it takes to complete route. Multicollinearity are the relationships between the IVs not the IV to DV. Ie: sea salt and regular salt both make a salty flavor, hard to tell which is responsible.

30