Question 1

Which adjustment method is used when factor scores can still correlate with each other?

Accepted Answer

A) Bartlett method 
B) Anderson-Rubin method 
C) Neither 
D) Both 
A) Bartlett method 
B) Anderson-Rubin method 
C) Neither 
D) Both A

Question 2

What is the different between these two types of rotation?

Accepted Answer

A) There are no differences,they are the same process used on different types of data set. 
B) The factors are allowed to correlate in oblique rotation,but remain uncorrelated in orthogonal correlation. 
C) The factors are allowed to correlate in orthogonal rotation,but remain uncorrelated in oblique rotation. 
D) Orthogonal rotation is used on large data sets,whereas oblique rotation can only be used on small data sets (fewer than 25 participants). 
A) There are no differences,they are the same process used on different types of data set. 
B) The factors are allowed to correlate in oblique rotation,but remain uncorrelated in orthogonal correlation. 
C) The factors are allowed to correlate in orthogonal rotation,but remain uncorrelated in oblique rotation. 
D) Orthogonal rotation is used on large data sets,whereas oblique rotation can only be used on small data sets (fewer than 25 participants). B

Question 3

Error is also known as?

Accepted Answer

A) Common variance 
B) Unique variance 
C) Random variance 
D) None of the above 
A) Common variance 
B) Unique variance 
C) Random variance 
D) None of the above C

Question 4

Orthogonal rotation and oblique rotation are two types of what?

Accepted Answer

A) Factor rotation 
B) Error rotation 
C) Unique rotation 
D) ANOVA rotation 
A) Factor rotation 
B) Error rotation 
C) Unique rotation 
D) ANOVA rotation

Question 5

Taking the scores from the R-matrix produced in Q8,and the two correlations found,what is the next stage in the analysis?

Accepted Answer

A) Add the scores together from the R-matrix for each correlation. 
B) Represent the correlations graphically. 
C) Square the cumulative scores in the ?R-matrix for each correlation. 
D) Move on to the next study. 
A) Add the scores together from the R-matrix for each correlation. 
B) Represent the correlations graphically. 
C) Square the cumulative scores in the ?R-matrix for each correlation. 
D) Move on to the next study.

Question 6

Based on your answer to Q4,why is this the case?

Accepted Answer

A) Because the diagonal elements in an R-matrix never correlate very well. 
B) Because the diagonal elements in an R-matrix are randomly assigned. 
C) Because the diagonal elements in an R-matrix are impossible to predict. 
D) Because the diagonal elements in an R-matrix are the same,so will correlate perfectly. 
A) Because the diagonal elements in an R-matrix never correlate very well. 
B) Because the diagonal elements in an R-matrix are randomly assigned. 
C) Because the diagonal elements in an R-matrix are impossible to predict. 
D) Because the diagonal elements in an R-matrix are the same,so will correlate perfectly.

Question 7

Identification of error avoids what?

Accepted Answer

A) Unending calculations 
B) Telling the researcher they've done something wrong 
C) Unnecessary investigations of variance 
D) Nothing,as error cannot be identified. 
A) Unending calculations 
B) Telling the researcher they've done something wrong 
C) Unnecessary investigations of variance 
D) Nothing,as error cannot be identified.

Question 8

Which of the following represents a simple analogy for factor analysis?

Accepted Answer

A) Using all of the ingredients offered in a cooking experiment to produce the largest cake. 
B) Whisking all of the eggs available to you together,regardless of the size or structure of the cake you are making. 
C) Sieving the amount of flour given to you so that only a usable and manageable amount is used in the baking process. 
D) All of the above. 
A) Using all of the ingredients offered in a cooking experiment to produce the largest cake. 
B) Whisking all of the eggs available to you together,regardless of the size or structure of the cake you are making. 
C) Sieving the amount of flour given to you so that only a usable and manageable amount is used in the baking process. 
D) All of the above.

Question 9

What does ML stand for?

Accepted Answer

A) Maximum liability 
B) More or less 
C) Minimum load 
D) Maximum likelihood 
A) Maximum liability 
B) More or less 
C) Minimum load 
D) Maximum likelihood

Question 10

What is principal component analysis?

Accepted Answer

A) The process in which factor analysis is linked to ANOVA 
B) The technique used to divide the factor scores by one another 
C) A method used for calculating the square of the sum of the correlation variable scores 
D) The procedure of converting possibly correlated variables into a set of linearly uncorrelated variables 
A) The process in which factor analysis is linked to ANOVA 
B) The technique used to divide the factor scores by one another 
C) A method used for calculating the square of the sum of the correlation variable scores 
D) The procedure of converting possibly correlated variables into a set of linearly uncorrelated variables

Question 11

Within the common factor model,measured variables are expressed as what?

Accepted Answer

A) Totals of the unique variance scores 
B) A function of common factors,unique factors,and errors of measurement 
C) The square of the standard deviation of each variable 
D) Quadratic equations 
A) Totals of the unique variance scores 
B) A function of common factors,unique factors,and errors of measurement 
C) The square of the standard deviation of each variable 
D) Quadratic equations

Question 12

When factor scores have a mean of 0 and a standard deviation of 1,which adjustment method has been used on factor scores?

Accepted Answer

A) Bartlett method 
B) Anderson-Rubin method 
C) Neither 
D) Both 
A) Bartlett method 
B) Anderson-Rubin method 
C) Neither 
D) Both

Question 13

An R-matrix could be used to assess a participant's response to a survey on personality and character.

Accepted Answer

A) True 
 B)False

Question 14

Squared multiple correlation (SMC)is used to estimate what?

Accepted Answer

A) Random variance between variables 
B) Communality values for each variable 
C) Common variance across all variables 
D) Common variance in each independent variable 
A) Random variance between variables 
B) Communality values for each variable 
C) Common variance across all variables 
D) Common variance in each independent variable

Question 15

Principal component analysis is concerned with establishing which linear components exist within data.

Accepted Answer

A) True 
 B)False

Question 16

The use of factor analysis in the social sciences is common because social science studies often research correlations with which type of variable?

Accepted Answer

A) Latent 
B) Continuous 
C) Binary 
D) Ordered 
A) Latent 
B) Continuous 
C) Binary 
D) Ordered

Question 17

In such a study,questions are grouped into themes of sociability,morals,comprehension and perception of themselves.When constructing an R-matrix,the diagonal line from top left to bottom right will show which figure?

Accepted Answer

A) 0.001 
B) 0.010 
C) 0.100 
D) 1.000 
A) 0.001 
B) 0.010 
C) 0.100 
D) 1.000

Question 18

Factors determined from correlation with other variables in the R-matrix are the same as the independent variables in factorial ANOVA.

Accepted Answer

A) True 
 B)False

Question 19

Why is there no intercept in the equation for describing factors?

Accepted Answer

A) Because,when plotted graphically,the lines intersect at zero,so the intercept is also zero. 
B) Because there is no intercept,as each factor runs parallel to the other. 
C) Because it is too difficult to work out. 
D) Because the intercept serves no purpose in factor analysis. 
A) Because,when plotted graphically,the lines intersect at zero,so the intercept is also zero. 
B) Because there is no intercept,as each factor runs parallel to the other. 
C) Because it is too difficult to work out. 
D) Because the intercept serves no purpose in factor analysis.

Question 20

In the study described in Q2,you ask questions based on themes of interest in PhD topic,sociability with other PhD students,ability to talk about PhD studies enthusiastically,ability to talk about other students' studies,interest in an academic career beyond studies,interest in other PhD students' academic careers.You find a negative correlation between scores on the R-matrix around ability to talk about PhD studies enthusiastically,interest in an academic career beyond studies and interest in PhD topic,and a positive correlation between sociability with other PhD students,ability to talk about other students' studies and interest in other PhD students' academic careers.These two correlations are called?

Accepted Answer

A) Links 
B) Summaries 
C) Factors 
D) Matrices 
A) Links 
B) Summaries 
C) Factors 
D) Matrices

Which adjustment method is used when factor scores can still correlate with each other?

What is the different between these two types of rotation?

Error is also known as?

Orthogonal rotation and oblique rotation are two types of what?

Taking the scores from the R-matrix produced in Q8,and the two correlations found,what is the next stage in the analysis?

Based on your answer to Q4,why is this the case?

Identification of error avoids what?

Which of the following represents a simple analogy for factor analysis?

What does ML stand for?

What is principal component analysis?

Within the common factor model,measured variables are expressed as what?

When factor scores have a mean of 0 and a standard deviation of 1,which adjustment method has been used on factor scores?

An R-matrix could be used to assess a participant's response to a survey on personality and character.

Squared multiple correlation (SMC)is used to estimate what?

Principal component analysis is concerned with establishing which linear components exist within data.

The use of factor analysis in the social sciences is common because social science studies often research correlations with which type of variable?

In such a study,questions are grouped into themes of sociability,morals,comprehension and perception of themselves.When constructing an R-matrix,the diagonal line from top left to bottom right will show which figure?

Factors determined from correlation with other variables in the R-matrix are the same as the independent variables in factorial ANOVA.

Why is there no intercept in the equation for describing factors?

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

Repeated-Measures Designs

Mixed Design Anova

Multiple Analysis of Variance Manova

Categorical Data

Logistic Regression

Multilevel Linear Models

Filters

Exam 18: Exploratory Factor Analysis

Which adjustment method is used when factor scores can still correlate with each other?

What is the different between these two types of rotation?

Error is also known as?

Orthogonal rotation and oblique rotation are two types of what?

Taking the scores from the R-matrix produced in Q8,and the two correlations found,what is the next stage in the analysis?

Based on your answer to Q4,why is this the case?

Identification of error avoids what?

Which of the following represents a simple analogy for factor analysis?

What does ML stand for?

What is principal component analysis?

Within the common factor model,measured variables are expressed as what?

When factor scores have a mean of 0 and a standard deviation of 1,which adjustment method has been used on factor scores?

An R-matrix could be used to assess a participant's response to a survey on personality and character.

Squared multiple correlation (SMC)is used to estimate what?

Principal component analysis is concerned with establishing which linear components exist within data.

The use of factor analysis in the social sciences is common because social science studies often research correlations with which type of variable?

In such a study,questions are grouped into themes of sociability,morals,comprehension and perception of themselves.When constructing an R-matrix,the diagonal line from top left to bottom right will show which figure?

Factors determined from correlation with other variables in the R-matrix are the same as the independent variables in factorial ANOVA.

Why is there no intercept in the equation for describing factors?

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

Repeated-Measures Designs

Mixed Design Anova

Multiple Analysis of Variance Manova

Categorical Data

Logistic Regression

Multilevel Linear Models

Filters