Question 1

Describe the interaction effect shown in this plot.

Accepted Answer

The gender gap in schooling changes both

Question 2

Your research hypothesis is "In the population, first stays in the U.S. by unauthorized immigrants are on average longer than second stays in the U.S. by these same immigrants." What type of hypothesis test should be used?

Accepted Answer

A)  one-sample t test 
B)  paired-samples t test 
C)  independent-samples t test 
D)  one-way ANOVA 
E)  two-way ANOVA 
A)  one-sample t test 
B)  paired-samples t test 
C)  independent-samples t test 
D)  one-way ANOVA 
E)  two-way ANOVA

Question 3

Your one-way ANOVA research hypothesis was that average years of schooling (EDUC) differed between strong Republicans, Independents, and strong Democrats. On the basis of the following output, which pairs of groups significantly differ?
Multiple Comparisons
EDUC Tukey HSD
$\begin{array}{|ll|r|r|r|}
\hline & & & & \
\text { (I) POLPARTY } & \text { (J) POLPARTY } & \begin{array}{c}
\text { Mean } \
\text { Difference (1- } \
\mathrm{J}
\end{array} & \text { Std. Error } & \text { Sig. } \
\hline 1 \text { strong Republican } & 4 \text { independent } & 1.647^{*} & .602 & .018 \
& 7 \text { strong Democrat } & -471 & .606 & .718 \
\hline 4 \text { independent } & 1 \text { strong Republican } & -1.647^{*} & .602 & .018 \
& 7 \text { strong Democrat } & -2.118^{*} & .511 & .000 \
\hline 7 \text { strong Democrat } & 1 \text { strong Republican } & 471 & .606 & .718 \
& 4 \text { independent } & 2.118^{*} & .511 & .000 \
\hline
\end{array}$
$*$. The mean difference is significant at the $0.05$ level.

Accepted Answer

A)  no pairs significantly differ 
B)  (strong Republicans & strong Democrats) 
C)  (strong Republicans & Independents) and (Strong Democrats & Independents) 
D)  all pairs significantly differ 
A)  no pairs significantly differ 
B)  (strong Republicans & strong Democrats) 
C)  (strong Republicans & Independents) and (Strong Democrats & Independents) 
D)  all pairs significantly differ

Question 4

Answer the questions that follow this SPSS output: 
Descriptive Statistics
Dependent Variable: EARNIN04 Total Waoes and Salaries in 2004
\(\begin{array}{|ll|r|r|r|}
\hline \text { RACE } & \text { FEMALE } & {\text { Mean }} & \text { Std. Deviation } &{\mathrm{N}} \
\hline \text { 1 Hispanic } & 0 \text { no (male) } & 41285.98 & 42998.204 & 44 \
& 1 \text { yes (female) } & 24631.31 & 24530.302 & 36 \
& \text { Total } & 33791.38 & 36639.398 & 80 \
\hline \text { 2 Black, not Hispanic } & 0 \text { no (male) } & 36485.53 & 41976.763 & 53 \
& 1 \text { yes (female) } & 18507.82 & 19089.535 & 90 \
& \text { Total } & 25170.89 & 30815.198 & 143 \
\hline \text { 3 White, not Hispanic } & 0 \text { no (male) } & 61171.53 & 63147.153 & 379 \
& 1 \text { yes (female) } & 26921.99 & 30198.993 & 489 \
& \text { Total } & 41876.57 & 50405.556 & 868 \
\hline \text { 4 Other, not Hispanic } & 0 \text { no (male) } & 37740.00 & 25030.741 & 5 \
& 1 \text { yes (female) } & 2250.00 & 4500.000 & 4 \
& \text { Total } & 21966.67 & 25898.552 & 9 \
\hline \text { Total } & 0 \text { no (male) } & 56388.83 & 59902.208 & 481 \
& 1 \text { yes (female) } & 25405.95 & 28619.045 & 619 \
& \text { Total } & 38953.92 & 47583.774 & 1100 \
\hline
\end{array}\)
Tests of Between-Subjects Effects
Dependent Variable: EARNINO4 Total Wages and Salaries in 2004
$\begin{array}{|l|r|r|r|r|r|}
\hline \text { Source } & \begin{array}{c}
\text { Type III Sum } \
\text { of Squares }
\end{array} & \text { df } & \text { Mean Square } & \text { F } & {\text { Sig. }} \
\hline \text { Corrected Model } & 3.088 \mathrm{E}+011^{3} & 7 & 4.412 \mathrm{E}+010 & 22.105 & .000 \
\text { Intercept } & 1.158 \mathrm{E}+011 & 1 & 1.158 \mathrm{E}+011 & 58.043 & .000 \
\text { RACE } & 4.130 \mathrm{E}+010 & 3 & 1.377 \mathrm{E}+010 & 6.897 & .000 \
\text { FEMALE } & 2.036 \mathrm{E}+010 & 1 & 2.036 \mathrm{E}+010 & 10.199 & .001 \
\text { RACE =FEMALE } & 1.203 \mathrm{E}+010 & 3 & 4009953148 & 2.009 & .111 \
\text { Error } & 2.180 \mathrm{E}+012 & 1092 & 1995908127 & & \
\text { Total } & 4.158 \mathrm{E}+012 & 1100 & & & \
\text { Corrected Total } & 2.488 \mathrm{E}+012 & 1099 & & & \
\hline
\end{array}$
a. R Squared $= .124$ (Adjusted R Squared $= .118 )$
You have done a two-way analysis of variance with earnings (EARNIN04) as the dependent variable and RACE and FEMALE as the factor variables. 
A) Is the overall model statistically significant? (yes / no)
B) Is the interaction effect statistically significant? (yes / no / skipped) (If this step was skipped because of earlier conclusions, write the word "skipped" as your answer.)
C) Is the main effect of RACE statistically significant? (yes / no / skipped) (If this step was skipped because of earlier conclusions, write the word "skipped" as your answer.)
D) Is the main effect of gender(FEMALE) statistically significant? (yes / no / skipped) (If this step was skipped because of earlier conclusions, write the word "skipped" as your answer.)

Accepted Answer

a. yes
b.

Question 5

"The educational attainment difference between persons raised by a single parent and persons raised by two parents is larger for lower social class families than for upper social class families." This is a description of

Accepted Answer

A)  an interaction effect involving type of household in which raised and social class 
B)  a main effect of educational attainment 
C)  a main effect of social class 
D)  a main effect of type of household in which raised 
A)  an interaction effect involving type of household in which raised and social class 
B)  a main effect of educational attainment 
C)  a main effect of social class 
D)  a main effect of type of household in which raised

Question 6

You want to know if two variables significantly interact in their effect on some variable. Which would be an appropriate procedure to use?

Accepted Answer

A)  Frequencies 
B)  One-Way ANOVA 
C)  Paired-Samples T Test 
D)  Univariate General Linear Model (Two-Way ANOV
A)  
A)  Frequencies 
B)  One-Way ANOVA 
C)  Paired-Samples T Test 
D)  Univariate General Linear Model (Two-Way ANOV
A)

Question 7

On the basis of this output, which of the following is true?
Tests of Between-Subjects Effects
Dependent Variable:ABORTOK
$\begin{array}{|l|r|r|r|r|r|}
\hline \text { Source } & {\begin{array}{c}
\text { Type III Sum } \
\text { of Squares }
\end{array}} & \text { df } & \text { Mean Square } &{\text { F }} & {\text { Sig. }} \
\hline \text { Corrected Model } & 214.225^{a} & 11 & 19.475 & 5.594 & .000 \
\text { Intercept } & 1451.930 & 1 & 1451.930 & 417.071 & .000 \
\text { MARRIED } & 21.421 & 2 & 10.710 & 3.077 & .049 \
\text { RELINTEN } & 51.237 & 3 & 17.079 & 4.906 & .003 \
\text { MARRIED * RELINTEN } & 24.451 & 6 & 4.075 & 1.171 & .326 \
\text { Error } & 459.525 & 132 & 3.481 & & \
\text { Total } & 3326.000 & 144 & & & \
\text { Corrected Total } & 673.750 & 143 & & & \
\hline
\end{array}$
a. $\mathrm { R }$ Squared $= .318$ (Adjusted R Squared $= .261$ )

Accepted Answer

A)  The overall model is significant. 
B)  The interaction effect is significant. 
C)  Discussion of the main effect of MARRIED would be skipped. 
D)  Discussion of the main effect of RELINTEN would be skipped. 
A)  The overall model is significant. 
B)  The interaction effect is significant. 
C)  Discussion of the main effect of MARRIED would be skipped. 
D)  Discussion of the main effect of RELINTEN would be skipped.

Question 8

You are doing a two-way ANOVA. What level of measurement is required for the dependent variable?

Accepted Answer

A)  It must be nominal. 
B)  It must be ordinal. 
C)  It must be interval/ratio. 
D)  It can be any level of measurement. 
A)  It must be nominal. 
B)  It must be ordinal. 
C)  It must be interval/ratio. 
D)  It can be any level of measurement.

Question 9

What is an interaction effect?

Accepted Answer

An interaction effect is when

Describe the interaction effect shown in this plot.

Your research hypothesis is "In the population, first stays in the U.S. by unauthorized immigrants are on average longer than second stays in the U.S. by these same immigrants." What type of hypothesis test should be used?

"The educational attainment difference between persons raised by a single parent and persons raised by two parents is larger for lower social class families than for upper social class families." This is a description of

You want to know if two variables significantly interact in their effect on some variable. Which would be an appropriate procedure to use?

You are doing a two-way ANOVA. What level of measurement is required for the dependent variable?

What is an interaction effect?

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Pearsons Correlation and Bivariate Regression

Multiple Regression

Sampling Distributions and Normal Distributions

Hypothesis Testing and One-Sample T Tests

Paired and Independent-Samples T Tests

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters

Exam 14: Analysis of Variance

Describe the interaction effect shown in this plot.

Your research hypothesis is "In the population, first stays in the U.S. by unauthorized immigrants are on average longer than second stays in the U.S. by these same immigrants." What type of hypothesis test should be used?

"The educational attainment difference between persons raised by a single parent and persons raised by two parents is larger for lower social class families than for upper social class families." This is a description of

You want to know if two variables significantly interact in their effect on some variable. Which would be an appropriate procedure to use?

You are doing a two-way ANOVA. What level of measurement is required for the dependent variable?

What is an interaction effect?

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Pearsons Correlation and Bivariate Regression

Multiple Regression

Sampling Distributions and Normal Distributions

Hypothesis Testing and One-Sample T Tests

Paired and Independent-Samples T Tests

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters