Question 1

As sample size increases, the standard error decreases, resulting in a larger test statistic.

Accepted Answer

A) True 
 B)False

Question 2

If the expected direction of an effect is correct, then using a one-tailed hypothesis test instead of a two-tailed hypothesis test:

Accepted Answer

A)  increases power. 
B)  decreases power. 
C)  makes power 1.0. 
D)  makes power 0. 
A)  increases power. 
B)  decreases power. 
C)  makes power 1.0. 
D)  makes power 0.

Question 3

Following a meta-analysis, the researcher might decide to perform a(n) _____ to determine the number of null results that would have to exist to overturn any statistically significant effect found in the meta-analysis.

Accepted Answer

A)  power analysis 
B)  file drawer analysis 
C)  effect-size analysis 
D)  hypothesis test 
A)  power analysis 
B)  file drawer analysis 
C)  effect-size analysis 
D)  hypothesis test

Question 4

According to Cohen's convention, a value of _____ is a medium effect size.

Accepted Answer

A)  0.2 
B)  0.5 
C)  0.8 
D)  340 
A)  0.2 
B)  0.5 
C)  0.8 
D)  340

Question 5

Which of the following does NOT increase statistical power?

Accepted Answer

A)  increasing alpha 
B)  using a one-tailed hypothesis 
C)  increasing sample size 
D)  reducing differences between levels of the independent variable 
A)  increasing alpha 
B)  using a one-tailed hypothesis 
C)  increasing sample size 
D)  reducing differences between levels of the independent variable

Question 6

A researcher interested in the effects of humor on memory randomly assigns 16 participants to either the humor group or the no-humor group.The humor group reads humorous sentences and the no-humor group reads non-humorous sentences.On a later memory test, the researcher finds that in terms of the direction of the means, the humor group had better memory than the no-humor group, but this effect was not significant (p = 0.06).What should this researcher do?

Accepted Answer

A)  She can attempt to increase her statistical power by using a two-tailed hypothesis test rather than a one-tailed hypothesis test. 
B)  She can abandon the study of humor on memory because given her results it is obvious that humor has no effect on memory. 
C)  Because the effect looks as though it is barely missing significance, she can just treat it as though the effect exists and communicate this exciting effect to her colleagues. 
D)  Because the effect looks as though it is barely missing significance and her sample size is fairly small, she can increase her sample size to increase her statistical power to detect the effect. 
A)  She can attempt to increase her statistical power by using a two-tailed hypothesis test rather than a one-tailed hypothesis test. 
B)  She can abandon the study of humor on memory because given her results it is obvious that humor has no effect on memory. 
C)  Because the effect looks as though it is barely missing significance, she can just treat it as though the effect exists and communicate this exciting effect to her colleagues. 
D)  Because the effect looks as though it is barely missing significance and her sample size is fairly small, she can increase her sample size to increase her statistical power to detect the effect.

Question 7

Which of these is NOT a benefit of performing a meta-analysis?

Accepted Answer

A)  It adds statistical power by examining the results of several studies at once. 
B)  It increases the chances of misinterpreting data by analyzing half of the studies. 
C)  It reduces the risk of misinterpreting many findings within a broad literature. 
D)  It identifies what research questions are still left unanswered. 
A)  It adds statistical power by examining the results of several studies at once. 
B)  It increases the chances of misinterpreting data by analyzing half of the studies. 
C)  It reduces the risk of misinterpreting many findings within a broad literature. 
D)  It identifies what research questions are still left unanswered.

As sample size increases, the standard error decreases, resulting in a larger test statistic.

If the expected direction of an effect is correct, then using a one-tailed hypothesis test instead of a two-tailed hypothesis test:

Following a meta-analysis, the researcher might decide to perform a(n) _____ to determine the number of null results that would have to exist to overturn any statistically significant effect found in the meta-analysis.

According to Cohen's convention, a value of _____ is a medium effect size.

Which of the following does NOT increase statistical power?

Which of these is NOT a benefit of performing a meta-analysis?

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

Exam 8: Confidence Intervals, Effect Size, and Statistical Power

As sample size increases, the standard error decreases, resulting in a larger test statistic.

If the expected direction of an effect is correct, then using a one-tailed hypothesis test instead of a two-tailed hypothesis test:

Following a meta-analysis, the researcher might decide to perform a(n) _____ to determine the number of null results that would have to exist to overturn any statistically significant effect found in the meta-analysis.

According to Cohen's convention, a value of _____ is a medium effect size.

Which of the following does NOT increase statistical power?

Which of these is NOT a benefit of performing a meta-analysis?

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters