I need an explanation for this Sociology question to help me study.
This week in the forum discussion:
I. You will decide which test of significance you will use for your project. Use the guideline above to make your choice.
II. You will use the process for hypothesis testing which outlines five steps:
III. You will decide which measure of association you will use for your project. Use the guideline above to make your choice. Include the output (table) in your post. Based on the output, describe the strength and direction of the relationship between the variables. Also explain the PRE.
THE GUIDELINES ARE LISTED BELOW BUT THE ONLY THING THAT NEEDS TO BE DONE IS WHATS ADOVE.
Please only select this assignment if you have full knowledge and details of how to do this as well as if you will be available in about a week to do the other half.
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is worth examining further. During Week 5, we studied tests of significance. In this week’s forum, we will apply these tests of significance to our project variables. We will also run measures of association to determine the strength and direction of the relationship between our variables. As we discussed previously, the levels of measurement of our variables determine which test of significance works for the research project. Here is the guideline:
1. Before-and-after design and the DV is at I/R level: Dependent Sample T-test
2. DV and IV are BOTH categorical variables (nominal/ordinal): Chi-square
*Special note for Chi-square: you should have less than 20% of the cells with an expected count of 5 or less. This information is reported automatically, right below the chi-square output table. If your chi-square test fails to meet this requirement, it is necessary to use “recoding” to combining certain answer categories together so the expected counts would increase.
3. DV and IV are both continuous (interval/ratio) variables: regression
4. Comparison of groups (when IV is categorical – nominal/ordinal and DV is continuous – interval/ratio):
a. Between 2 groups: Independent Sample T-test
b. Among 3 or more groups: ANOVA
Why do we need to run tests of significance?
Next, we’ll use tests of “measures of association” to figure out the exact strength of a relationship between two variables. In addition, we’ll learn how to interpret SPSS outputs for measures of association tests such as lambda, gamma, and Pearson’s r, along with other possible tests. These tests are also specific to the level of measurement of your variables. Here are the guidelines:
To interpret the output, see attached handout. Keep in mind measures of association is a statistical procedure based on Proportional Reduction of Error (PRE). Thus the format of interpretation will be: Knowing the IV will reduce error in predicting the DV by *%.
Please note: Don’t just say “IV” and “DV” in your explanation. You need to enter your variables names for IV and DV, and replace * for the exact test value from the output. If the value of Lambda is .34, then it will be interpreted as 34%.
****Ok, now it is time for you to try! For this week’s forum, be sure to perform the correct test of significance (choose one) and measure of association (choose one) on your variables for the final project. You can download the class handout attached at the bottom of the
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