Question 1

Repeated-measures analysis includes an array of applications.In simple terms,it is?

Accepted Answer

A) A randomized chi-square test 
B) Better for reducing error 
C) A generalization of the paired t-test 
D) Equal to working out the standard deviation 
A) A randomized chi-square test 
B) Better for reducing error 
C) A generalization of the paired t-test 
D) Equal to working out the standard deviation

Question 2

Participant responses/performance may change during a repeated-measures study because of the nature of repeated testing,and not because of the independent variable.These are?

Accepted Answer

A) Standard errors 
B) Basic conditioning 
C) Recency effects 
D) Practice effects 
A) Standard errors 
B) Basic conditioning 
C) Recency effects 
D) Practice effects

Question 3

One pitfall associated with repeated-measures designs may be?

Accepted Answer

A) They are far less powerful than between-subjects studies. 
B) More participants are needed than other types of study. 
C) Carryover effects are often high. 
D) Only one order of the independent variable levels can be used. 
A) They are far less powerful than between-subjects studies. 
B) More participants are needed than other types of study. 
C) Carryover effects are often high. 
D) Only one order of the independent variable levels can be used.

Question 4

A repeated-measures ANOVA is the same as a dependent t-test,apart from?

Accepted Answer

A) There can only be one independent variable in a repeated-measures ANOVA. 
B) There can only be two dependent variables in a repeated-measures ANOVA. 
C) There can only be two levels of the independent variable in the dependent t-test. 
D) The two are exactly the same. 
A) There can only be one independent variable in a repeated-measures ANOVA. 
B) There can only be two dependent variables in a repeated-measures ANOVA. 
C) There can only be two levels of the independent variable in the dependent t-test. 
D) The two are exactly the same.

Question 5

How can carryover effects be evened out?

Accepted Answer

A) They can't. 
B) Increase participant numbers. 
C) Use a Latin square or counterbalancing. 
D) Use chi-square. 
A) They can't. 
B) Increase participant numbers. 
C) Use a Latin square or counterbalancing. 
D) Use chi-square.

Repeated-measures analysis includes an array of applications.In simple terms,it is?

Participant responses/performance may change during a repeated-measures study because of the nature of repeated testing,and not because of the independent variable.These are?

One pitfall associated with repeated-measures designs may be?

A repeated-measures ANOVA is the same as a dependent t-test,apart from?

How can carryover effects be evened out?

Why Is My Evil Lecturer Forcing Me to Learn Statistic

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing

Moderation,mediation and Multicategory Predictors

Comparing Several Means

Analysis of Covariance

Factorial Anova

Mixed Design Anova

Multiple Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Data

Logistic Regression

Multilevel Linear Models

Filters

Exam 15: Repeated-Measures Designs

Repeated-measures analysis includes an array of applications.In simple terms,it is?

Participant responses/performance may change during a repeated-measures study because of the nature of repeated testing,and not because of the independent variable.These are?

One pitfall associated with repeated-measures designs may be?

A repeated-measures ANOVA is the same as a dependent t-test,apart from?

How can carryover effects be evened out?

Why Is My Evil Lecturer Forcing Me to Learn Statistic

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing

Moderation,mediation and Multicategory Predictors

Comparing Several Means

Analysis of Covariance

Factorial Anova

Mixed Design Anova

Multiple Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Data

Logistic Regression

Multilevel Linear Models

Filters