Question 1

If your probability of a Type Il error is .30,then your statistical power is:

Accepted Answer

A) .30 
B) .05 
C) .70 
D) .80 
A) .30 
B) .05 
C) .70 
D) .80

Question 2

An a priori statistical power analysis can be used to determine how large a sample to select.

Accepted Answer

A) True 
 B)False

Question 3

Identify the key things to look for when critically appraising the trustworthiness of meta-analysis.

Accepted Answer

When critically appraising the trustwort

Question 4

One of the best ways to determine which hypotheses have been tested is to firsind which variables are significantly related.

Accepted Answer

A) True 
 B)False

Question 5

The t-test is appropriate to use when testing the significance of the relationship between two nominal level variables.

Accepted Answer

A) True 
 B)False

Question 6

Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two nominal-level variables?

Accepted Answer

A)  Gamma 
B)  Chi-square 
C)  Analysis of variance 
D)  Pearson's product-moment correlation coefficient 
A)  Gamma 
B)  Chi-square 
C)  Analysis of variance 
D)  Pearson's product-moment correlation coefficient

Question 7

Define statistical power and explain its utility in planning research as well as in interpreting the implications of findings that are not statistically significant.

Accepted Answer

Statistical power refers to the probabil

If your probability of a Type Il error is .30,then your statistical power is:

An a priori statistical power analysis can be used to determine how large a sample to select.

Identify the key things to look for when critically appraising the trustworthiness of meta-analysis.

One of the best ways to determine which hypotheses have been tested is to firsind which variables are significantly related.

The t-test is appropriate to use when testing the significance of the relationship between two nominal level variables.

Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two nominal-level variables?

Define statistical power and explain its utility in planning research as well as in interpreting the implications of findings that are not statistically significant.

Why Study Research

Evidence-Based Practice

Philosophy and Theory in Social Work Research

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

Quantitative Data Analysis

Inferential Data Analysis

Writing Research Proposals and Reports

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Exam 23: Inferential Data Analysis

If your probability of a Type Il error is .30,then your statistical power is:

An a priori statistical power analysis can be used to determine how large a sample to select.

Identify the key things to look for when critically appraising the trustworthiness of meta-analysis.

One of the best ways to determine which hypotheses have been tested is to firsind which variables are significantly related.

The t-test is appropriate to use when testing the significance of the relationship between two nominal level variables.

Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two nominal-level variables?

Define statistical power and explain its utility in planning research as well as in interpreting the implications of findings that are not statistically significant.

Why Study Research

Evidence-Based Practice

Philosophy and Theory in Social Work Research

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

Quantitative Data Analysis

Inferential Data Analysis

Writing Research Proposals and Reports

Filters