10-24-2015, 03:13 AM

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.

This week you will run a t-test on your variables using SPSS. A t-test is a significance test based on means. The t test examines the distribution of values for one variable among different groups. While this test is best used with variables that at the Interval-Ratio level of measurement, we are going to use gender for this particular exercise. For this particular exercise you will be using gender as your Independent Variable. (If you are using gender as your variable already than you do not have to change anything for this; keep it "as-is").

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 t score, which "Sig. (2-tailed)" identifies exactly.

Adhere the following rule: if sample t score ("Sig. (2-tailed)"~ first row "equal variances assumed") 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.

Follow these steps in SPSS to run a t-test for Independent Means. Instructions can be found on pgs 310-313. Here is an additional resource with an example to view.

Choose your variables

Analyze

Compare Means

Independent-Samples T test

You will want to enter your variable as the "test variable" and GENDER as the "grouping variable".

Define your groups by giving Group 1 a '1' and Group 2 a '2' (men=1 and women=2)

Set your confidence interval percentage at 95%

Hit "OK"

Be sure to explain your findings as you understand them.

Remember to save a copy in your portfolio file.

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.

This week you will run a t-test on your variables using SPSS. A t-test is a significance test based on means. The t test examines the distribution of values for one variable among different groups. While this test is best used with variables that at the Interval-Ratio level of measurement, we are going to use gender for this particular exercise. For this particular exercise you will be using gender as your Independent Variable. (If you are using gender as your variable already than you do not have to change anything for this; keep it "as-is").

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 t score, which "Sig. (2-tailed)" identifies exactly.

Adhere the following rule: if sample t score ("Sig. (2-tailed)"~ first row "equal variances assumed") 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.

Follow these steps in SPSS to run a t-test for Independent Means. Instructions can be found on pgs 310-313. Here is an additional resource with an example to view.

Choose your variables

Analyze

Compare Means

Independent-Samples T test

You will want to enter your variable as the "test variable" and GENDER as the "grouping variable".

Define your groups by giving Group 1 a '1' and Group 2 a '2' (men=1 and women=2)

Set your confidence interval percentage at 95%

Hit "OK"

Be sure to explain your findings as you understand them.

Remember to save a copy in your portfolio file.