Question 1

In reference to sampling error, which of the following statements is valid?​

Accepted Answer

A)  ​The smaller the sample, the less sampling error. 
B)  ​Sampling error is an inverse function of sample size. 
C)  ​Inferential statistics are addressed to sampling and non-sampling errors. 
D)  ​Random assignment ensures no sampling error. 
A)  ​The smaller the sample, the less sampling error. 
B)  ​Sampling error is an inverse function of sample size. 
C)  ​Inferential statistics are addressed to sampling and non-sampling errors. 
D)  ​Random assignment ensures no sampling error.

Question 2

A research article reports that clients who received Intervention A had a 20% recidivism rate, while clients who received Intervention B had a 30% recidivism rate. What can be inferred from these statistics?​

Accepted Answer

A)  ​Intervention A is more effective than Intervention B. 
B)  ​The difference in recidivism rates may have been due to chance. 
C)  ​We risk a Type II error if we conclude that Intervention A is more effective than Intervention B. 
D)  ​We risk a Type I error if we conclude that the difference in recidivism rates may have been due to chance. 
A)  ​Intervention A is more effective than Intervention B. 
B)  ​The difference in recidivism rates may have been due to chance. 
C)  ​We risk a Type II error if we conclude that Intervention A is more effective than Intervention B. 
D)  ​We risk a Type I error if we conclude that the difference in recidivism rates may have been due to chance.

Question 3

A correlation of .60 indicates that 36 percent of the variance in the dependent variable has been explained.

Accepted Answer

A) True 
 B)False

Question 4

When using inferential statistics, we must risk either a Type I error or a Type II error, we cannot avoid risking both.

Accepted Answer

A) True 
 B)False

Question 5

The term "clinical significance" means the same thing as "substantive significance.

Accepted Answer

A) True 
 B)False

Question 6

If a result is statistically significant, it is also substantivelysignificant.

Accepted Answer

A) True 
 B)False

Question 7

An experiment is conducted to test the effectiveness of a social work intervention. The experimental group improves more than does the control group, but the results are not statistically significant. This means that​

Accepted Answer

A)  ​the intervention was not effective. 
B)  ​the intervention was effective, but not at a significant level. 
C)  ​we cannot rule out sampling error in inferring about the effectiveness of the intervention. 
D)  ​the results were clinically significant despite not being statistically significant. 
A)  ​the intervention was not effective. 
B)  ​the intervention was effective, but not at a significant level. 
C)  ​we cannot rule out sampling error in inferring about the effectiveness of the intervention. 
D)  ​the results were clinically significant despite not being statistically significant.

Question 8

The more statistically significant a finding, the less likely it isto be explained away by extraneous variables or design flaws.

Accepted Answer

A) True 
 B)False

Question 9

Explain the difference between statistical significance, relationship strength, and substantive significance.

Accepted Answer

Statistical significance, relationship s

Question 10

The smaller the sample, the greater the probability of obtainingstatistically significant findings.

Accepted Answer

A) True 
 B)False

In reference to sampling error, which of the following statements is valid?

A research article reports that clients who received Intervention A had a 20% recidivism rate, while clients who received Intervention B had a 30% recidivism rate. What can be inferred from these statistics?

A correlation of .60 indicates that 36 percent of the variance in the dependent variable has been explained.

When using inferential statistics, we must risk either a Type I error or a Type II error, we cannot avoid risking both.

The term "clinical significance" means the same thing as "substantive significance.

If a result is statistically significant, it is also substantivelysignificant.

An experiment is conducted to test the effectiveness of a social work intervention. The experimental group improves more than does the control group, but the results are not statistically significant. This means that

The more statistically significant a finding, the less likely it isto be explained away by extraneous variables or design flaws.

Explain the difference between statistical significance, relationship strength, and substantive significance.

The smaller the sample, the greater the probability of obtainingstatistically significant findings.

Why Study Research

Evidence-Based Practice

Factors Influencing the Research Process

Comparing Quantitative, Qualitative, and Mixed Methods of Inquiry

The Ethics and Politics of Social Work Research

Culturally Competent Research

Problem Formulation

Conceptualization in Quantitative and Qualitative Inquiry

Measurement

Constructing Measurement Instruments

Causal Inference and Experimental Designs

Quasi-Experimental Designs

Single-Case Evaluation Designs

Program Evaluation

Sampling

Survey Research

Analyzing Existing Data: Quantitative and Qualitative Methods

Qualitative Research: General Principles

Qualitative Research: Specific Methods

Qualitative Data Analysis

Descriptive Data Analysis

Writing Research Proposals and Reports

Filters

Exam 22: Inferential Data Analysis

In reference to sampling error, which of the following statements is valid?​

A research article reports that clients who received Intervention A had a 20% recidivism rate, while clients who received Intervention B had a 30% recidivism rate. What can be inferred from these statistics?​

A correlation of .60 indicates that 36 percent of the variance in the dependent variable has been explained.

When using inferential statistics, we must risk either a Type I error or a Type II error, we cannot avoid risking both.

The term "clinical significance" means the same thing as "substantive significance.

If a result is statistically significant, it is also substantivelysignificant.

An experiment is conducted to test the effectiveness of a social work intervention. The experimental group improves more than does the control group, but the results are not statistically significant. This means that​

The more statistically significant a finding, the less likely it isto be explained away by extraneous variables or design flaws.

Explain the difference between statistical significance, relationship strength, and substantive significance.

The smaller the sample, the greater the probability of obtainingstatistically significant findings.

Why Study Research

Evidence-Based Practice

Factors Influencing the Research Process

Comparing Quantitative, Qualitative, and Mixed Methods of Inquiry

The Ethics and Politics of Social Work Research

Culturally Competent Research

Problem Formulation

Conceptualization in Quantitative and Qualitative Inquiry

Measurement

Constructing Measurement Instruments

Causal Inference and Experimental Designs

Quasi-Experimental Designs

Single-Case Evaluation Designs

Program Evaluation

Sampling

Survey Research

Analyzing Existing Data: Quantitative and Qualitative Methods

Qualitative Research: General Principles

Qualitative Research: Specific Methods

Qualitative Data Analysis

Descriptive Data Analysis

Writing Research Proposals and Reports

Filters

In reference to sampling error, which of the following statements is valid?

A research article reports that clients who received Intervention A had a 20% recidivism rate, while clients who received Intervention B had a 30% recidivism rate. What can be inferred from these statistics?

An experiment is conducted to test the effectiveness of a social work intervention. The experimental group improves more than does the control group, but the results are not statistically significant. This means that