Exam 6: Analyzing Data When You Are Comparing Two Groups

Please explain the importance of statistical and practical significance in evaluative research, with special reference to the two group comparison design using dichotomous nominal variables.

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Question 1

Correct Answer:

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Without statistical significance, the data can be easily explained by chance irrespective of the type of test used to examine the relationship between variables. In the example given in the text in comparing the rates of success for the two groups the percentage of people in each group who were in the successful category indicate that 75% those in the treatment group were successful as compared to 50% of those in the comparison group, who did not receive the treatment. This difference is key for determining practical significance, when there is statistical significance.

An effect size of two is considered a small effect size.

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(True/False)

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Question 2

Correct Answer:

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False

In reporting the findings of your independent samples t Test, it is sufficient to report the value of t and the sample size.

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(True/False)

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Question 3

Correct Answer:

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False

A test of hypothesis involving the comparison of mean scores of two distinct groups on a variable of interest that is measured at the interval level, requires the use of:

(Multiple Choice)

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Question 4

After conducting the independent samples t Test, when you notice that the treatment group's mean is higher as you hypothesized, it is not necessary to know whether the higher mean score for the treatment group is statistically significant.

(True/False)

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Question 5

When you compare two groups and when you have a dichotomous dependent variable, you can employ either the special Excel file or SPSS, for the examination of the relationship between the two variables.

(True/False)

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Question 6

Of the advantages of reporting the effect size, the major one is:

(Multiple Choice)

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Question 7

The understanding of the meaning of a given difference in the mean scores between two groups on the study variable is important for reaching a conclusion about practical significance of the study findings as merely stating an opinion regarding practical significance is not an acceptable way of reporting practical significance.

(True/False)

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Question 8

Chi square is appropriate for very small samples even when the data have most of the cells with "expected frequencies" less than 5.

(True/False)

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Question 9

In the SPSS procedure for using the Independent samples t Test, the "Test variable" in the dialog box, refers to the:

(Multiple Choice)

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Question 10

Please explain to an evaluative researcher, the procedure for computing chi square for two groups on a dichotomous variable using SPSS.

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Question 11

The expected frequencies in a chi square table are:

(Multiple Choice)

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Question 12

When you report your study findings you are not required to report on whether your hypothesis was supported or not, by the findings.

(True/False)

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Question 13

The two pieces of evidence that you need for your hypothesis to be supported by your data:

(Multiple Choice)

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Question 14

In the SPSS procedure for using the independent samples t Test, the "Grouping Variable" refers to the specifications pertaining to the two groups used in the study.

(True/False)

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Question 15

When you choose to use directional hypothesis, such as "The posttest scores on the scale for depression will be less than the pretest scores on depression," you have reason to predict the outcome of your intervention in reducing depression.

(True/False)

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Question 16

Practical significance is examined, when you use chi square for dichotomous data, by comparing the proportions of people in each group who succeeded and by referring to:

(Multiple Choice)

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Question 17

The specifications in SPSS using, "Analyze", followed by selecting "Compare means" from the drop down menu and choosing "Independent samples t Test" will allow you to:

(Multiple Choice)

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Question 18

Measuring the dependent variable in simply mutually exclusive categories such as "improved" or "not improved" for both a treatment group and a comparison group statistical significance can be established by:

(Multiple Choice)

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Question 19

When you have data on each person in each of two groups, with pretest and posttest measurements for each person in these two different groups, you cannot compute the gain score for each.

(True/False)

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Question 20

Showing 1 - 20 of 35

Please explain the importance of statistical and practical significance in evaluative research, with special reference to the two group comparison design using dichotomous nominal variables.

An effect size of two is considered a small effect size.

In reporting the findings of your independent samples t Test, it is sufficient to report the value of t and the sample size.

A test of hypothesis involving the comparison of mean scores of two distinct groups on a variable of interest that is measured at the interval level, requires the use of:

After conducting the independent samples t Test, when you notice that the treatment group's mean is higher as you hypothesized, it is not necessary to know whether the higher mean score for the treatment group is statistically significant.

When you compare two groups and when you have a dichotomous dependent variable, you can employ either the special Excel file or SPSS, for the examination of the relationship between the two variables.

Of the advantages of reporting the effect size, the major one is:

Chi square is appropriate for very small samples even when the data have most of the cells with "expected frequencies" less than 5.

In the SPSS procedure for using the Independent samples t Test, the "Test variable" in the dialog box, refers to the:

Please explain to an evaluative researcher, the procedure for computing chi square for two groups on a dichotomous variable using SPSS.

The expected frequencies in a chi square table are:

When you report your study findings you are not required to report on whether your hypothesis was supported or not, by the findings.

The two pieces of evidence that you need for your hypothesis to be supported by your data:

In the SPSS procedure for using the independent samples t Test, the "Grouping Variable" refers to the specifications pertaining to the two groups used in the study.

When you choose to use directional hypothesis, such as "The posttest scores on the scale for depression will be less than the pretest scores on depression," you have reason to predict the outcome of your intervention in reducing depression.

Practical significance is examined, when you use chi square for dichotomous data, by comparing the proportions of people in each group who succeeded and by referring to:

The specifications in SPSS using, "Analyze", followed by selecting "Compare means" from the drop down menu and choosing "Independent samples t Test" will allow you to:

Measuring the dependent variable in simply mutually exclusive categories such as "improved" or "not improved" for both a treatment group and a comparison group statistical significance can be established by:

When you have data on each person in each of two groups, with pretest and posttest measurements for each person in these two different groups, you cannot compute the gain score for each.

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 Evaluating a Single Client

Explaining Client Gain

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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