Question 1

There are only about four standard deviation units above (and below) the mean.

Accepted Answer

A) True 
 B)False  False

Question 2

If we read a report that states that d equals 1.00, what does this mean?

Accepted Answer

A)  The experimental group has a mean that is a full standard deviation higher than the mean of the control group 
B)  The experimental group has a mean that is a full point higher than the mean of the control group 
C)  This is considered low effect size 
A)  The experimental group has a mean that is a full standard deviation higher than the mean of the control group 
B)  The experimental group has a mean that is a full point higher than the mean of the control group 
C)  This is considered low effect size A

Question 3

Is the effect size for question above "very large"?

Accepted Answer

NO, MEDIUM

Question 4

Which of the following is NOT a principles of effect size?

Accepted Answer

A)  A small effect size might represent an important result 
B)  A large effect size might represent an unimportant result 
C)  A small effect size does not represent important results 
D)  A large effect size might represent an important result 
A)  A small effect size might represent an important result 
B)  A large effect size might represent an unimportant result 
C)  A small effect size does not represent important results 
D)  A large effect size might represent an important result

Question 5

What does a Cohen's d value of 0.80 NOT indicate?

Accepted Answer

A)  Eight-tenths of a standard deviation 
B)  Small effect size 
C)  Large effect size 
A)  Eight-tenths of a standard deviation 
B)  Small effect size 
C)  Large effect size

Question 6

For an experimental group, M=50 and SD=7. For control group, M=46 and SD=8. For this experiment, what is the value of d?

Accepted Answer

0.5
Calcul

Question 7

In what situation(s) would the value of the d be meaningless?

Accepted Answer

A)  Inadequate sampling 
B)  Invalid instrumentation 
C)  Poor research design 
D)  All of the above 
E)  A and B only 
A)  Inadequate sampling 
B)  Invalid instrumentation 
C)  Poor research design 
D)  All of the above 
E)  A and B only

Question 8

Which of the following steps are NOT part of interpreting the difference?

Accepted Answer

A)  Determine whether the difference is statistically significant at an acceptable probability level 
B)  For a statistically significant difference, consider the value of d 
C)  For a statistically insignificant difference, still consider the value of d 
D)  Consider the implications of the difference for validating any relevant theories as well as the practical significance of the results 
A)  Determine whether the difference is statistically significant at an acceptable probability level 
B)  For a statistically significant difference, consider the value of d 
C)  For a statistically insignificant difference, still consider the value of d 
D)  Consider the implications of the difference for validating any relevant theories as well as the practical significance of the results

Exam 30: Effect Size

There are only about four standard deviation units above (and below) the mean.

If we read a report that states that d equals 1.00, what does this mean?

Is the effect size for question above "very large"?

Which of the following is NOT a principles of effect size?

What does a Cohen's d value of 0.80 NOT indicate?

For an experimental group, M=50 and SD=7. For control group, M=46 and SD=8. For this experiment, what is the value of d?

In what situation(s) would the value of the d be meaningless?

Which of the following steps are NOT part of interpreting the difference?

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

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters