A) indicated only by a positive relationship between variables B) represented by a correlation coefficient of 1.00 or -1.00, indicated by either a positive or negative relationship between variables C) indicated only by a negative relationship in which higher scores on one variable are associated with lower scores on the other D) every data point which is higher than another data point in one variable is not related to the data point on the other variable A) indicated only by a positive relationship between variables B) represented by a correlation coefficient of 1.00 or -1.00, indicated by either a positive or negative relationship between variables C) indicated only by a negative relationship in which higher scores on one variable are associated with lower scores on the other D) every data point which is higher than another data point in one variable is not related to the data point on the other variable

Exam 8: Explaining Client Gain

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The results of the bivariate correlation might be presented as follows: Client gain on depression was found to have a negative relationship with the number of treatment session attended (r = -.829; p < .01; n = 20).

(True/False)

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Question 21

A perfect negative relationship is one in which subjects who are lower on one variable would be lower on the other variable.

(True/False)

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Question 22

The standardized coefficient (beta) of .501 for a given independent variable indicates that one standard deviation of change in that variable is associated with about half of a standard deviation of change in the dependent variable.

(True/False)

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Question 23

When we select a statistical test to apply to our data, we should be clear about our level of measurement because statistical tests make assumptions about the level of measurement when the formula is composed.

(True/False)

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Question 24

When you use the Pearson Correlation Coefficient as a statistic, you are engaging in:

(Multiple Choice)

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Question 25

The Spearman correlation coefficient is used to examine the relationship between two variables measured at the interval level.

(True/False)

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Question 26

In evaluative research, when you are trying to explain client gain, client gain is usually:

(Multiple Choice)

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Question 27

A correlation is:

(Multiple Choice)

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Question 28

When you conduct multiple regression analysis with two independent variables with the potential to predict the change in one dependent variable and when you notice that your R square is .342, it means:

(Multiple Choice)

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Question 29

The Spearman Correlation Coefficient can have a negative sign which implies a negative relationship between the variables.

(True/False)

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Question 30

A perfect positive or negative correlation can be found in social science data.

(True/False)

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Question 31

Please explain the benefit of the multiple regression analysis.

(Essay)

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Question 32

The independent samples t Test can be used to compare the gain scores of two groups of people.

(True/False)

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Question 33

Showing 21 - 33 of 33

The results of the bivariate correlation might be presented as follows: Client gain on depression was found to have a negative relationship with the number of treatment session attended (r = -.829; p < .01; n = 20).

A perfect negative relationship is one in which subjects who are lower on one variable would be lower on the other variable.

The standardized coefficient (beta) of .501 for a given independent variable indicates that one standard deviation of change in that variable is associated with about half of a standard deviation of change in the dependent variable.

When we select a statistical test to apply to our data, we should be clear about our level of measurement because statistical tests make assumptions about the level of measurement when the formula is composed.

When you use the Pearson Correlation Coefficient as a statistic, you are engaging in:

The Spearman correlation coefficient is used to examine the relationship between two variables measured at the interval level.

In evaluative research, when you are trying to explain client gain, client gain is usually:

A correlation is:

When you conduct multiple regression analysis with two independent variables with the potential to predict the change in one dependent variable and when you notice that your R square is .342, it means:

The Spearman Correlation Coefficient can have a negative sign which implies a negative relationship between the variables.

A perfect positive or negative correlation can be found in social science data.

Please explain the benefit of the multiple regression analysis.

The independent samples t Test can be used to compare the gain scores of two groups of people.

Why Do We Use Statistics

Using the Computer for Statistical Analysis of Data

Selecting a Statistic to Answer Your Research Question

Using Descriptive Statistics to Describe Your Study Sample

Analyzing Data With Pretest and Posttest Measurements of One Group

Analyzing Data When You Are Comparing Two Groups

Analyzing Data When You Are Evaluating a Single Client

A Synopsis of Selected Statistical Tests for Examining Nominal Data

A Synopsis of Selected Statistical Tests for Examining Ordinal Data

Statistics for Evidence-Based Practice

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