Question 1

Suppose a research is examining what factors attribute to happiness in life which correlational statistics should the researcher compute for this research question?

Accepted Answer

A)  r 
B)  R 
A)  r 
B)  R B

Question 2

If we are looking for the R of predictors in order to predict freshman grades in college, what would be the best combination to predictors to obtain R from?

Accepted Answer

A)  Verbal college admissions test scores 
B)  Quantitative college admissions test scores 
C)  High school grades 
D)  All of the above 
E)  Some other factors 
A)  Verbal college admissions test scores 
B)  Quantitative college admissions test scores 
C)  High school grades 
D)  All of the above 
E)  Some other factors D

Question 3

In predicting the variance in Algebra Grade which of the following is a better predictor?

Accepted Answer

A)  Attitude-toward math sores with a correlation of .68 
B)  Basic math test scores with a correlation of 64 
C)  A combination of the above two variables with a correlation of .77 
D)  Some other variable(s) not measured 
A)  Attitude-toward math sores with a correlation of .68 
B)  Basic math test scores with a correlation of 64 
C)  A combination of the above two variables with a correlation of .77 
D)  Some other variable(s) not measured C

Question 4

What is NOT true about an R of .80?

Accepted Answer

A)  A combination of predictors has a strong positive correlation to the variable being predicted 
B)  A multiple correlation coefficient is .80 
C)  A combination of predictors predicts 80% of the variance on the variable being predicted 
D)  A combination of predictors predicts 64% of the variance on the variable being predicted 
A)  A combination of predictors has a strong positive correlation to the variable being predicted 
B)  A multiple correlation coefficient is .80 
C)  A combination of predictors predicts 80% of the variance on the variable being predicted 
D)  A combination of predictors predicts 64% of the variance on the variable being predicted

Question 5

Multiple correlation coefficients can be calculated for a combination of more than two predictors.

Accepted Answer

A) True 
 B)False

Suppose a research is examining what factors attribute to happiness in life which correlational statistics should the researcher compute for this research question?

If we are looking for the R of predictors in order to predict freshman grades in college, what would be the best combination to predictors to obtain R from?

In predicting the variance in Algebra Grade which of the following is a better predictor?

What is NOT true about an R of .80?

Multiple correlation coefficients can be calculated for a combination of more than two predictors.

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Standard Error of the Mean

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

One Sample T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Simple and Multiple Regression

Filters

Exam 32: Multiple Correlation

Suppose a research is examining what factors attribute to happiness in life which correlational statistics should the researcher compute for this research question?

If we are looking for the R of predictors in order to predict freshman grades in college, what would be the best combination to predictors to obtain R from?

In predicting the variance in Algebra Grade which of the following is a better predictor?

What is NOT true about an R of .80?

Multiple correlation coefficients can be calculated for a combination of more than two predictors.

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Standard Error of the Mean

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

One Sample T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Simple and Multiple Regression

Filters