Flashcards in Chapter 12 Practice Questions Deck (14)

Loading flashcards...

1

## What are factorial designs?

### Factorial designs are designs with more than one independent variable.

2

## Why does a factorial study test at least three null hypotheses?

### A factorial study must have at least two factors. With two factors, there will be the main effects of two factors and thie interaction.

3

## What is an interaction?

### An interaction involves two variables in which the effect of one variable differs depending on the level of the other variable.

4

## What is a main effect?

### Main effect refers to the individual effect on each factor on the dependent variable.

5

## When would you rather use a factorial rather than a single variable design?

### Factorial designs are used when the researcher is interested in the interactive effects of two or more independent variables.

6

## In terms of main effects and interactions, what outcomes are possible in a factorial?

### Any combination of main effects and factorials is possible in a factorial study.

7

## Why should one interpret the interaction first when both a main effect and an interaction are significant?

### We always inteprprey main effects in light of the interaction, because the main effects may be present only when some specific combination of the factors is present.

8

## What are the major advantages of a repeated measures factorial?

### The major advantages of repeated measures factorials are that fewer participants are needed and there is greater sensitivity to the effects of the independent variable on the dependent variable.

9

## What are the two meanings of a mixed design?

### They can be mixed by having both within subject and between subjects factor, both manipulated and nonmanipulated factors.

10

## Explain the implications of a mixed designs for a interpretation of results and statistical analyses?

### They must take into account the type of factors during data analysis.

11

## What does an analysis of covariance do?

### It removes the effects that are theoritically unimportant, but nonetheless powerful, variable from the dependnet variables scores as part of analysis.

12

## How does a MANOVA differ from an ANOVA?

### Manova includes more than one dependent variable, whereas an ANOVA includes only a single dependent variable in the analysis.

13

## What is the difference between assent and consent?

### Consent is a legal term. Assent means agreeing.

14