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Week 7 forum - Soci 332 American Military university Statistics for social science

#1

Initial discussion postings should be a minimum of 150 words. Each student must also respond to a minimum of 2 fellow students' original postings; each response must be at least 100 words in length.

Responses should directly address the question and be discerning about when the Forum is asking for a more objective (researched) answer vs. personal experience and opinion. I also highly encourage you to incorporate relevant supplemental material (i.e. an article, website, Youtube video, etc.)

Constructive criticism and honest assessment of each others' ideas is encouraged. Postings are expected to be substantive and in good taste (remember your Netiquette). By "substantive," I mean comments that contribute something new and hopefully important to the discussion. Thus a message that simply says "I agree" is not substantive. If you feel very strongly about it and wish to be supportive of your classmate, you can certainly post such a statement anyway - but please limit such comments as there are few things more boring to read than discussions where 80% of the content is content-free! A substantive comment contributes a new idea or perspective, a good follow-up question to a point made, offers a response to a question, provides an example or illustration of a key point, points out an inconsistency in an argument, etc.

The deadline for this discussion assignment is 11:55pm ET on Thursday of this learning week. Two replies to your fellow students' posts must be completed by 11:55pm ET on Sunday of this learning week.


This week's main Forum requires you to answer the question completely and correctly to receive full credit.

The t test is limited when it comes to social research and best used when you have two groups (men and women) to compare. But what if you have many groups, such as people of varying religious backgrounds or beliefs, or even people with different educational backgrounds? We would want to compare, not only the relationship between variables, but also the relationships between the groups (Catholics and Jews, Buddhists and Methodists, Jews and Buddhists, Methodists and Catholics, etc.). One advantage of the ANOVA is that it examines the means, as well as the variances, of the subgroups and eliminates "individual differences" as a source of variability.

Last week you purposefully used GENDER as a variable to see a t test for understanding. This week you will need to choose a variable that has multiple subgroups to use for the ANOVA test of significance. Some examples are religious backgrounds, level of education, SEI, etc. (If you have questions about this, reach out to me ASAP for clarification). See how these variables are related to your variable...

Here are the steps for SPSS:

1. Select Analyze
2. Compare Means
3. One-Way ANOVA
4. Set your variables- your dependent variable goes into the 'Dependent List' box and your Independent Variable goes into the 'Factor' box.
5. Click Options and select 'Descriptive' and 'Continue'
6. Click 'OK'



Reading your output:

Use the steps for hypothesis testing to determine if the relationship between your variables is statistically significant.

Restate the question as a research hypothesis and a null hypothesis about the population.
Set your significance level at .05
Determine the significance level of the sample's ANOVA, which "Sig." identifies exactly.
Adhere the following rule: if Sig. is less than the cutoff score (.05) than you reject the null hypothesis and your research hypothesis is supported.
Decide whether to reject the null hypothesis and explain your answers.


Visit the following site, One Way ANOVA in SPSS, for more details which include an example and step-by-step instructions. (Step 4 and 5 are optional; You will not have to run the Tukey test).

* Remember to copy this over into your Portfolio file.

domyonlinemathclass

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