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1. Matched-subjects design fits in our discussion well here. What would be an example of a matched-subjects design? Make sure that it is an example that is unique from your classmates.

2. Repeated measures design fits in our discussion well here. What would be an example of a repeated measures design? Make sure that it is unique from your classmates.

A minimum of 75 words each question and References (IF NEEDED)(Response #1 – 6) KEEP RESPONSE WITH ANSWER

Make sure the Responses includes the Following: (a) an understanding of the weekly content as supported by a scholarly resource, (b) the provision of a probing question. (c) stay on topic

1. One might use an independent sample when they are randomly observing participants one time only (Privitera, 2018). This can be done by using two populations to create two seperate samples, or one large sample split into two random samples (Privitera, 2018). This sample would be used when two seperate populations are being study/observed at random, and results being compared. For instance, if i were to test a small sample of children on their reading and comprehension skills, from two seperate schools. 

Related samples are used when samples are related to one another by using the same treatments/events, and observed over time and multiple times (Privitera, 2018). This can be done using the repeated method or the match pairs design (Privitera, 2018). An example of using related sampling is using a small sample of students and test their readig and comprehensions skills after going through a reading program. Overtime, these same students are tested to evaluate their overall improvement using the program. 

2. An independent sample is one which observes two groups or samples which will also select different participants for each group and compare the differences. A related sample (dependent) is like a company who may hire people to evaluate it, a related sample keeps using the same sample and people without extending research (Privitera, 2018).

Consider a fitness club that wants to test the effectiveness of a workout plan which will aid in reducing weight quickly. With the related sample the weight and work out would be from the same people, who are matched and perhaps who work at the gym (not fair) who are tested before and after they train. With related the samples are taken from the same people. Therefore, the people with the highest weight loss in the first sample will likely have the best weight loss and muscle building in the second sample because they are dependent and from the same people.

Independent samples a group of people and an outside different group of people to evaluate the true effectiveness of the program. This type is more honest and compares the initiatives of the workout program between these two distinct groups. These two samples would likely be independent because the measurements are from different people.

3. Related samples are used when samples have a relation to each other and can be used over multiple occurrences. For example, the subjects used will have many similarities and will be used multiple times.

Independent samples are used when a random sample is being used and observed. For example, a one time observation on a population used at random and sorted into two groups.

4. Since my collegue is measuring the same thing two seperate groups, I would advise her to use an unpaired test, or two independent sample t test, to measure the effectivness of the lesson plan. If she were to retest the same participant before and after the lesson plan was given, then I would advise her to use a paired test (Privitera, 2018). 

In order to perform the calculation using SSPS, I would do the followig steps: 

· define your labels for your samples, and enter your data collected into the data sheet for he correaponding labels.

· Click the "Analyze" tab at the top, then click "compare means", then click "independent sample". 

1. From here a screen will pop up.

2. On the left, your variables will be labeled, on the right you will have screens to move your dependent and independent variables.

3. At the top, there will be a box labeled "Test Varibles". This is where you will move your dependent variable, or the variable that is being measured/tested.

4. At the bottom, under "grouping variance", you will move your independent variable. 

1. If there is more than one group included in your independent variable, click teh button under the "Grouping variance" box that is labeled "define groups". Then you can enter in a distinct letter or number to define your variable. 

· Click "Ok" and your chart will generate.

5. Since these are 2 different groups Mary should conduct an independent or unpaired t test

In SPSS

Click Analyze>compare means>independent sample t test

Next Independent sample -transfer the dependent variable into the Test Variable(s): box, and transfer the independent variable into the Grouping Variable: box, by highlighting the relevant variables and pressing the button to move it to the other side You will end up with the following screen: to define groups

You then need to define the groups Click on the Define groups button. You will be presented with the Define Groups dialogue box,

Enter "1" into the Group 1: box and enter "2" into the Group 2: box. At the bottom, under "grouping variance", you will move your independent variable.

· If there is more than one group included in your independent variable, click the button under the "Grouping variance" box that is labeled "define groups". Then you can enter in a distinct letter or number to define your variable.

Click ok and your chart will generate