Unit 4: Statistics - Main Effects and Interactions

Lookin at the ___ mean describes the direction or pattern of the ______ effect of one IV at different levels of the other IV

We examine ________ means to describe the ____ effects of a single IV

The most common interaction patterns in behavioral sciences will be missed by the _____-____ lines rule, while all interaction patterns will be identified by the ___-________ lines rule

Looking at the ________ means describes the direction or pattern of the ____ effect of a single IV

Using the ___-________ lines rule will consistently identify interactions, while using the _____-____ lines rule will miss many interaction patterns

___________ effects between two IVs as they relate to the DV are described by examining ______ effects

All interaction patterns will be identified using the ___-________ lines rule, while the most common interaction patterns in behavioral sciences will be missed by the _____-____ lines rule

___ means describe the ______ effects of one IV at different levels of the other IV

The direction or pattern of the ______ effect of one IV at different levels of the other IV is described by looking at the ___ means

____ ______ _-_____ compare marginal means, while ______ ______ ______ _____ compare cell means

______ _____ are used to determine if the main effects are descriptive and to describe the pattern of a significant interaction, while _-_____ are used to test if main effects and interactions are significant

___________ F-tests tell if the simple effects of one IV are significantly different at different levels of the other IV while ____ _______ F-tests tell if the marginal means of one IV are significantly different

A RH about the pattern of that interaction is tested by a(n) ______ _______ ______ ____, while a RH about whether or not there is an interaction is tested by a(n) ___________ _-____

RH about marginal means are tested using ____ ______ _-_____, while RH about he patterns of an interaction are tested using ______ ______ ______ _____

____ ______ F-tests tell if the marginal means of one IV are significantly different, while ___________ F-tests tell if the simple effects of one IV are significantly different at different levels of the other IV

_______ ______ IVs involve having different participants in the different conditionsof the IV, while ______ ______ involve having the same participants in all conditions of the IV

___________ main effect interpretations only say whether or not there is a statistical relationship between one IV and the DV, while ______ main effect interpretations also say that the DV value is a direct result of the value of that IV

If we had 40 total participants in a study, n would be 10 for a __ factorial design, n would be 40 for __ factorial design, and n would be 20 for a __ factorial design

__ factorial designs have each participant in all design cells, __ factorial designs have different participants in each design cell, and __ factorial designs have each participant in two of the design cells

___________ main effect interpretations are always appropriate, while ______ main effect interpretations require that the conditions of that IV were randomly assigned, properly mainpulated, and there was good experimental control

_______ ______ IVs require a between groups F-test of their main effect, while ______ ______ IVs require a within groups F-test of their main effect

A(n) ___________ RH tells the expected differences in how one IV relates to the DV for different conditions of the other IV, while a(n) ____ ______ RH tells how one IV is expected to relate to the DV ignoring the other IV

A(n) ____ ______ RH involves a single IV, while a(n) __________ RH involves both IVs

Telling the expected pattern of a ___________ main effect RH involves a single IV, while tellign the ecpected pattern of a __________ main effect RH is essentially the same as describing an interaction

A(n) __________ effect RH states whether or not there is a statistical relationship between the combination of the IVs and DV, while a(n) ______ effect RH staes that the DV value is a direct result of the value of the combination of IV conditions

A ___________ main effect RH suggests that the effects of that IV are the same for all levels of the other IV, while a __________ main effect RH suggests important differences between the effects of that IV at different levels of the other IV

A ___________ main effect is unconditional or generalizable for different values of the other IV, while a __________ main effect is conditional or not generalizable for different values of the other IV

Differences between marginal means are ____ effects, differences between cell means are ______ effects, and differences between simpel effects are ___________ effects

There are two ________ means for each IV in a 2x2 factorial design and four ____ means

A ___________ main effect is the same for all conditions of the other IV while a __________ main effect is different for different conditions of the other IV

___________ effects tell the differences in how one IV relates to the DV fo different conditions of the other IV, ______ effects tell how one IV relates to the DV for a specific condition of the other IV, and ____ effects tell how one IV relates to the Dv ignoring the other IV

____ means are from participants who are in a specific combination of IV conditions, ________ means are from all the participants in a specific condition of one IV

___________ research involves a DV and multiple IVs, while _________ research involves only one IV and one DV

____________ research involves at least 3 variables, while _________ research involves only two variables

The _________ is the variable for which we cannot readily get data, and so, must instead obtain and use an estimate, while the _________ is the variable for which we can readily obtain data

The differences between the _________ score and the _________ _________ score is the ________ score

In the formula r=y-y', r is the ________ score and y is the _________ score

_ tells the expected value of the criterion when the value of a predictor is zero, while _ tells the direction and extent of the expected change in the criterion for a 1-unit increase in the value of the predictor

The _________ score is used to compute the _________ _________ score

The ________ is the difference between the _________ score and the _________ _________ score

_ is the slope of the bivariate regression, while _ is the y-intercept of the bivariate regression line

In the formula y'=bx+a, y' is the _________ _________ score and x is the _________ score

The _________ is used to estimate the value of the _________

_ is obtained from a correlation while _ is obtained from a bivariate regression analysis and ___________ _ is obtained from a multiple regression analysis

___________ effects occur when a predictor that is correlated with the criterion does not contribute to a multiple regression model, while __________ effects occur when a predictor that is correlated with the criterion has a multiple regression weight is the opposite sign

__________ effects occur when a predictor that is not correlated with the criterion does contribute to a multiple regression model, while ___________ effects occur when a predictor that is correlated with the criterion does not contribute to a multiple regression model

__ summarizes the fit of the predictor to the criterion, while __ summarizes the fit of the multiple regression model to the criterion

__ tells hwo much variance in the criterion is accounted for by the multiple regression model, while __ tells the variance shared between the single predictor and the criterion

_ tells the direction and extent of the expected change in the criterion for a 1-unit increase in the value of the single predictor, _ tells the direction and strength of the relationship between the two variables, while ____________ _ tells the direction and extent of the expected change in the criterion for a 1-unit increase in the value of that predictor, holding the value of all other predictors that are in teh model constant

The __ is used to determine how well the model works, while the _-____ is used to determine if the model works

The effect size fo a multiple regression is the __ while the significance test fo a multiple regression is the _-____

A/an ________ __________ effect si when X causes Y, while a/an ____ ________ is when X causes Z which, in turn causes Y

____ ________ tells about the role of a specific variable in a structural model designed to explain a criterion, while ________ __________ tells about the linear relationship between a specific predictor and criterion

A variable is __________ when that variable "came into being" and could have a causal influence on other variables, while a variable is ________ when data are collected to represent it

A _________ ________ is a 3-variable path analysis that seeks to explicate the mechanism that underlies the observed relationship between an IV and a DV

________ __________ examine the unique contribution of each of several predictors to understanding a criterion, while ____ ________ examines the structural model among those predictors and the criterion