Question 1

Both lambda and Pearson's product moment correlation are based on guessing the mean.

Accepted Answer

A) True 
 B)False

Question 2

The appropriate measure of association for two nominal level variables is

Accepted Answer

A) lambda. 
B) omega. 
C) gamma. 
D) alpha. 
E) PRE. 
A) lambda. 
B) omega. 
C) gamma. 
D) alpha. 
E) PRE.

Question 3

Raj wanted to examine the strength of the relationship between political affiliation (Democrat,Republican,Independent,Other,None)and religious beliefs (Protestant,Catholic,Jewish,Muslim,Other,None).Which measure of association should he use to present this relationship?

Accepted Answer

A)  lambda. 
B)  gamma. 
C)  chi square. 
D)  Pearson's product moment correlation. 
E)  omega. 
A)  lambda. 
B)  gamma. 
C)  chi square. 
D)  Pearson's product moment correlation. 
E)  omega.

Question 4

Professor Smigel calculated a chi square of 83.26 on a set of data.The value for chi square in the table at the .05 level (< .05)was 16.91.Smigel concluded that

Accepted Answer

A) it is improbable that the observed relationship could have resulted from sampling error alone. 
B) the null hypothesis was rejected. 
C) there is a statistically significant relationship at the .05 level. 
D) the null hypothesis was rejected, and there is a statistically significant relationship at the .05 level. 
E) the null hypothesis was rejected, there is a statistically significant relationship at the .05 level, and it is improbable that the observed relationship could have resulted from sampling error alone. 
A) it is improbable that the observed relationship could have resulted from sampling error alone. 
B) the null hypothesis was rejected. 
C) there is a statistically significant relationship at the .05 level. 
D) the null hypothesis was rejected, and there is a statistically significant relationship at the .05 level. 
E) the null hypothesis was rejected, there is a statistically significant relationship at the .05 level, and it is improbable that the observed relationship could have resulted from sampling error alone.

Question 5

In path analysis,the statistic measuring the strength of a relationship between pairs of variables with the effect of other variables held constant is called

Accepted Answer

A) a path coefficient. 
B) a partial epsilon. 
C) a coefficient of alienation. 
D) residual variance. 
E) a variance coefficient. 
A) a path coefficient. 
B) a partial epsilon. 
C) a coefficient of alienation. 
D) residual variance. 
E) a variance coefficient.

Question 6

Pearson's correlation product indicates how much of the variance in the dependent variable has been explained.

Accepted Answer

A) True 
 B)False

Question 7

The formula Y = f(X)tells us that

Accepted Answer

A) X is the dependent variable. 
B) Y is the dependent variable. 
C) f is the dependent variable. 
D) need to know what Y, f, and X represent to determine the dependent variable 
E) Y equals 10. 
A) X is the dependent variable. 
B) Y is the dependent variable. 
C) f is the dependent variable. 
D) need to know what Y, f, and X represent to determine the dependent variable 
E) Y equals 10.

Question 8

The null hypothesis states that

Accepted Answer

A) there is a strong relationship between the two variables in the total population. 
B) there is a moderate relationship between the two variables in the total population. 
C) there is a weak relationship between the two variables in the total population. 
D) there is no relationship between the two variables in the total population. 
E) you will not be able to find a relationship between the two variables in the total population. 
A) there is a strong relationship between the two variables in the total population. 
B) there is a moderate relationship between the two variables in the total population. 
C) there is a weak relationship between the two variables in the total population. 
D) there is no relationship between the two variables in the total population. 
E) you will not be able to find a relationship between the two variables in the total population.

Question 9

Chi square is based upon a comparison of observed frequencies with the frequencies that would be expected if there was no relationship between the variables.

Accepted Answer

A) True 
 B)False

Question 10

Chi square compares

Accepted Answer

A) percentages and ratios. 
B) expected and observed frequencies. 
C) percentages down with percentages across. 
D) observed frequencies and population frequencies. 
E) frequencies and ratios. 
A) percentages and ratios. 
B) expected and observed frequencies. 
C) percentages down with percentages across. 
D) observed frequencies and population frequencies. 
E) frequencies and ratios.

Question 11

In factor analysis the researcher must specify the number of factors and which variables to load on the factor to allow the computer to generate factor loadings.

Accepted Answer

A) True 
 B)False

Question 12

Which of the following is(are)NOT an assumption underlying the use of inferential statistics?

Accepted Answer

A) sample must be drawn from the population about which inferences are to be made 
B) nonprobability sampling 
C) 100% completion rate 
D) sampling with replacement 
E) simple random sampling. 
A) sample must be drawn from the population about which inferences are to be made 
B) nonprobability sampling 
C) 100% completion rate 
D) sampling with replacement 
E) simple random sampling.

Question 13

What is the best advice to follow when using regression analysis?

Accepted Answer

A) It is very robust-don't worry about a thing. 
B) It has far too many assumptions to make it a worthwhile approach. 
C) It is based on several assumptions that are seldom satisfied, so use with caution. 
D) When in doubt, use curvilinear regression. 
E) If one type of regression doesn't work, keep trying the other types of regression. 
A) It is very robust-don't worry about a thing. 
B) It has far too many assumptions to make it a worthwhile approach. 
C) It is based on several assumptions that are seldom satisfied, so use with caution. 
D) When in doubt, use curvilinear regression. 
E) If one type of regression doesn't work, keep trying the other types of regression.

Question 14

ANOVA requires two or more explanatory variables.

Accepted Answer

A) True 
 B)False

Question 15

Given the following computer printout from a factor analysis,which of the following statements is(are)TRUE?

Accepted Answer

A) There are seven factors. 
B) There are seven variables. 
C) Factor #7 could be eliminated from the analysis. 
D) Variable #2 is most important for factor #2. 
E) Variable #3 tells us nothing. 
A) There are seven factors. 
B) There are seven variables. 
C) Factor #7 could be eliminated from the analysis. 
D) Variable #2 is most important for factor #2. 
E) Variable #3 tells us nothing.

Question 16

A path diagram allows you to determine the effect of one variable upon another both directly and indirectly through an intervening variable.

Accepted Answer

A) True 
 B)False

Question 17

Regression analysis is an integral part of inferential statistics.Using real-life examples,explain when it would be appropriate to use each of the following types of regression analysis:
a)linear regression
b)multiple regression
c)partial regression
d)curvilinear regression

Accepted Answer

a) Linear regression: 
Linear regression

Question 18

For most social science purposes,the accepted minimum level of significance is:

Accepted Answer

A) p = .40 
B) p = .25 
C) p = .05 
D) p = .10 
E) p = .20 
A) p = .40 
B) p = .25 
C) p = .05 
D) p = .10 
E) p = .20

Question 19

Basically,path analysis attempts to

Accepted Answer

A) study a relationship between two variables with a third variable held constant. 
B) examine a nonlinear relationship between two variables. 
C) describe relationships among variables by developing causal models. 
D) determine the irreducible factors underlying a series of variables. 
E) represent relationships as distances between points. 
A) study a relationship between two variables with a third variable held constant. 
B) examine a nonlinear relationship between two variables. 
C) describe relationships among variables by developing causal models. 
D) determine the irreducible factors underlying a series of variables. 
E) represent relationships as distances between points.

Question 20

Ginger wanted to develop a causal analysis of factors leading to divorce.She was particularly concerned with developing a graphic picture of the relationships among her variables.It would be best to use

Accepted Answer

A) path analysis. 
B) time-series analysis. 
C) factor analysis. 
D) linear regression. 
E) graph. 
A) path analysis. 
B) time-series analysis. 
C) factor analysis. 
D) linear regression. 
E) graph.

Both lambda and Pearson's product moment correlation are based on guessing the mean.

The appropriate measure of association for two nominal level variables is

Raj wanted to examine the strength of the relationship between political affiliation (Democrat,Republican,Independent,Other,None)and religious beliefs (Protestant,Catholic,Jewish,Muslim,Other,None).Which measure of association should he use to present this relationship?

Professor Smigel calculated a chi square of 83.26 on a set of data.The value for chi square in the table at the .05 level (< .05)was 16.91.Smigel concluded that

In path analysis,the statistic measuring the strength of a relationship between pairs of variables with the effect of other variables held constant is called

Pearson's correlation product indicates how much of the variance in the dependent variable has been explained.

The formula Y = f(X)tells us that

The null hypothesis states that

Chi square is based upon a comparison of observed frequencies with the frequencies that would be expected if there was no relationship between the variables.

Chi square compares

In factor analysis the researcher must specify the number of factors and which variables to load on the factor to allow the computer to generate factor loadings.

Which of the following is(are)NOT an assumption underlying the use of inferential statistics?

What is the best advice to follow when using regression analysis?

ANOVA requires two or more explanatory variables.

Given the following computer printout from a factor analysis,which of the following statements is(are)TRUE?

A path diagram allows you to determine the effect of one variable upon another both directly and indirectly through an intervening variable.

Regression analysis is an integral part of inferential statistics.Using real-life examples,explain when it would be appropriate to use each of the following types of regression analysis: a)linear regression b)multiple regression c)partial regression d)curvilinear regression

For most social science purposes,the accepted minimum level of significance is:

Basically,path analysis attempts to

Ginger wanted to develop a causal analysis of factors leading to divorce.She was particularly concerned with developing a graphic picture of the relationships among her variables.It would be best to use

Human Inquiry and Science

Paradigms,theory,and Social Research

The Ethics and Politics of Social Research

Research Design

Conceptualization, operationalization, and Measurement

Indexes, scales, and Typologies

The Logic of Sampling

Experiments

Survey Research

Qualitative Field Research

Unobtrusive Research

Evaluation Research

Qualitative Data Analysis

Quantitative Data Analysis

The Logic of Multivariate Analysis

Reading and Writing Social Research

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Exam 16: Statistical Analyses

Both lambda and Pearson's product moment correlation are based on guessing the mean.

The appropriate measure of association for two nominal level variables is

Raj wanted to examine the strength of the relationship between political affiliation (Democrat,Republican,Independent,Other,None)and religious beliefs (Protestant,Catholic,Jewish,Muslim,Other,None).Which measure of association should he use to present this relationship?

Professor Smigel calculated a chi square of 83.26 on a set of data.The value for chi square in the table at the .05 level (< .05)was 16.91.Smigel concluded that

In path analysis,the statistic measuring the strength of a relationship between pairs of variables with the effect of other variables held constant is called

Pearson's correlation product indicates how much of the variance in the dependent variable has been explained.

The formula Y = f(X)tells us that

The null hypothesis states that

Chi square is based upon a comparison of observed frequencies with the frequencies that would be expected if there was no relationship between the variables.

Chi square compares

In factor analysis the researcher must specify the number of factors and which variables to load on the factor to allow the computer to generate factor loadings.

Which of the following is(are)NOT an assumption underlying the use of inferential statistics?

What is the best advice to follow when using regression analysis?

ANOVA requires two or more explanatory variables.

Given the following computer printout from a factor analysis,which of the following statements is(are)TRUE?

A path diagram allows you to determine the effect of one variable upon another both directly and indirectly through an intervening variable.

Regression analysis is an integral part of inferential statistics.Using real-life examples,explain when it would be appropriate to use each of the following types of regression analysis: a)linear regression b)multiple regression c)partial regression d)curvilinear regression

For most social science purposes,the accepted minimum level of significance is:

Basically,path analysis attempts to

Ginger wanted to develop a causal analysis of factors leading to divorce.She was particularly concerned with developing a graphic picture of the relationships among her variables.It would be best to use

Human Inquiry and Science

Paradigms,theory,and Social Research

The Ethics and Politics of Social Research

Research Design

Conceptualization, operationalization, and Measurement

Indexes, scales, and Typologies

The Logic of Sampling

Experiments

Survey Research

Qualitative Field Research

Unobtrusive Research

Evaluation Research

Qualitative Data Analysis

Quantitative Data Analysis

The Logic of Multivariate Analysis

Reading and Writing Social Research

Filters