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In this assignment, there are 2 parts. Part 1 shows you how to analyze your data. Part 2 will be your publish of the Results section of your paper. Before getting into the assignment, there are a few things you need to do and figure out first.
Know what your independent (IV) and dependent variables (DV) are.
Know whether your variables are measured using nominal or numerical scales. If you want to divide up your IV into 2 groups, but you’re using a numerical measurement, you can simply decide what is the boundary for the groups. For example, if you are measuring social media usage, and you want to divide your group into low and high social media usage, you can choose how much is “low social media usage” and how much is “high social media usage”. You can decide that anyone who uses less than 3 hours a day is low, and anyone more than 3 hours is high usage. Or 2 hours. Or 4 hours. It is totally up to you.
Understand what questions on your survey will be used for each of your variables. If there are multiple questions for one variable, determine how you will add up the questions’ responses.
Based on how you’ve measured your variables, determine which analysis you will use. Many of you will be doing a t-test. However, some of you will do a different analysis. Use the Which analysis to do handout Download Which analysis to do handout and watch the following video to determine which analysis you will use.https://youtu.be/6e_MYVvO0m8Links to an external site.
Once you’ve figured out which analysis to use, it will be easier for you to know which videos to watch in Part 1.
Part 1Now that you’ve collected data, it is time to analyze it. Since you collected data using Google Forms, I am going to show you how download the data, prepare the data for analysis, and then conducting the analysis below. The data that I will be working with in the videos is from the following survey: Survey for Data Analysis.docx Download Survey for Data Analysis.docx. You can look at the survey while the videos are playing so that you can follow along with the video. I am also attaching the Excel file that I worked on in the video. The first tab in the Excel file has the initial data that I downloaded from Google Forms, and the second tab has the data that was calculated. Here is the Excel file: Survey Test for Data Analysis.xlsx Download Survey Test for Data Analysis.xlsx.
Downloading the dataOnce you are ready to analyze the data, you need to first close the survey. This is important to do so that no new data is collected. There is always a possibility of an error or mistake occurring while conducting your data analysis – if a mistake does occur, you can easily get the data again from your original source without the worry of it being compromised or changed in any way. Here is the video on how to download the data and calculate basic demographic information:https://youtu.be/NxX-gFKvx2kLinks to an external site.
Preparing the dataOnce you have downloaded the data, now you have to calculate the final scores for your DV and IV (if measured numerically). The following video shows you how I calculate a final numerical score from multiple questions that measure the DV:https://youtu.be/shPebj6FF48Links to an external site.
Conducting analysisWhen analyzing data, there are 2 types of statistics that are calculated – descriptive and inferential statistics.The descriptive statistics include calculating percentages for nominal data, and mean/standard deviation for numerical data. The first video (from Downloading the data part) shows you how to easily get percentages from nominal data (% of men and women on Google Forms). For numerical data, you will need to calculate the mean and standard deviation. The following video will show you how:https://youtu.be/Sq7RHn0aK5gLinks to an external site.
The inferential statistics is where your calculations help you form a conclusion about your data. Watch the video that corresponds to the analysis you need for your data. For t-testMost of you will use the t-test to do your analysis. If you had prior discussion with me about using a different analysis, then follow the correct video below.
Use the following website to calculate the t-test: http://vassarstats.net/Links to an external site.
Please use the link to go to the website. If you type in the wrong link, it can lead you to a virus. Here is the video on how to calculate the t-test:https://youtu.be/WGBDnAVjRAYLinks to an external site.
DO NOT USE THE ANALYSES BELOW UNLESS WE’VE DISCUSSED IT BEFOREHAND.For ANOVA/f-testYou will use the following website to calculate the f-test: http://vassarstats.net/Links to an external site.
Please use the link to go to the website. If you type in the wrong link, it can lead you to a virus. Here is the video on how to calculate the f-test:https://youtu.be/gstHmEq6yLYLinks to an external site.
For correlation You will use the following website to calculate your correlation analysis: http://vassarstats.net/Links to an external site.
Please use the link to go to the website. If you type in the wrong link, it can lead you to a virus. Here is the video on how to calculate the correlation test:https://youtu.be/vqwYzWyJnHcLinks to an external site.
For chi-square testGet in contact with me if you think you are doing a chi-square test because there are a couple of different chi-square tests depending on what you’re measuring, so I can give you the correct instructions.
Once you’ve completed all of the steps above, answer the following questions below for Part 1.
What is your independent variable (IV)?
Was your IV measured quantitatively or qualitatively?
If your IV was measured quantitatively, what is the mean and standard deviation for your variable? If your IV was measured qualitatively, what are your groups and what is the percentage of your sample in each group?
What is your dependent variable?
If your DV was measured quantitatively, what is the mean and standard deviation for your variable? If your DV was measured qualitatively, what are your groups and what is the percentage of your sample in each group?
What was your hypothesis?
Look at your statistical test results. What is the p (two tailed)? Is the p (two tailed) lesser or greater than .05? If the p (two tailed) is less than .05, then there is a significant relationship between the IV and DV. If the p (two tailed) is greater than .05, there is no significant relationship between the variables.
Part 2In Part 2, you will write a publish of the results section. The Results section has 2 parts: Descriptive Statistics and Inferential Statistics. You can watch this video again (from Formatting Demonstration Page) to review this section at minute 9:06:https://www.youtube.com/watch?v=6lk_kgDw-WI
Below is a description of what should be included in each section. Also, refer back to the APA Paper Template.docx Download APA Paper Template.docxto see how the header should look like for this section. Use your answers to Part 1 to help you write your publish.
Descriptive statisticsYou will report the descriptive statistics for the IV and DV. First state your variable, and then the descriptive statistics. If your variable was measured quantitatively, report the mean and standard deviation for your variable. If your variable was measured qualitatively, report the percentage of your sample in each group.
Example for qualitative data: If your responses for the variable was nominal, then this is easy. For example, if your variable was gender, then simply find the percentage of men and women. If your variable was social media usage, and you can divide your sample into those with low social media usage and high social media usage. You take the number of people who have low social media usage and divide it by the total sample size. If you had 102 participants, and 21 were considered low social media usage, then 21 divided by 102 is equal to .205, which we would convert to a percentage, which is 21% after rounding.
Example for quantitative data: If you measured stress using a numerical scale, then you report the mean and standard deviation. In APA, the mean is typically reported, and the standard deviation is in parentheses. For example: The average stress score of the men was 19.22 (SD = 3.45). The average stress score of the women was 21.45 (SD = 4.15)
Inferential statisticsIn this section, you will report your statistical analysis. Below is the general outline of this section: First, re-state your hypothesis. State what is your independent and dependent variable. State the statistical analysis used to test your data. Then state the outcome of the test. Here is document showing you how to report each type of test. Reporting Statistics in APA Style. Download Reporting Statistics in APA Style.Obviously, follow the example for the test you used. Generally, you need to report the df, test results, and p (two-tailed) value.
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