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Data analysis

The study will require that you examine data, analyze the results, and share the results with groups of other researchers. Job satisfaction is important to companies large and small, and understanding it provides managers with insights into human behavior Identify the data you selected.
2.Explain why the data was selected.
3.Explain what was learned by examining these sets of data.
4.Your analysis should include using Microsoft Excel to obtain information about the data through the use of three measures of central tendency (mean, median, mode).
5.Your analysis should also include the use of two measures of variability (standard deviation and variance). Some measures are appropriate for qualitative data, and some are appropriate for quantitative data.
6.If a measure is not applicable, then explain why.
7.You will have to also provide one chart/graph for each of the results of the two processed sections of data (2 total), such as a pie or bar chart or a histogram. (A table is not a chart/graph.) Ensure that you label the chart/graph clearly.
8.You will then need to discuss what you additionally learned from the results of this process.
9.Explain why charts/graphs are important in conveying information in a visual format and why standard deviation and variation are important

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Data analysis

Data analysis

Paper details:
Regression, Correlation, Tscore, F, Mean, standard devition…. and other things that are included in the powerpoint, shwoing math steps and equations and including all SPSS files output. everything is explained in the two labs powerpoint that are attached please have a look at them very important !!

LAB ASSIGNMENT # 3
1) This week collect some data from 10-20 participants (e.g., family, friends, fellow-students, etc.). Choose two simple variables such as how many text-messages the person got within the last hour(variable: TEXT) and their mood on a five-point scale (variable: MOOD). Make sure that you follow ethical standards when you do this (e.g., voluntary participation, person is not negatively affected by being asked). For this task you can team up with fellow-students; however, the data file you will create needs to be unique (e.g., you collect data with your friend from class; she will use the participants 1-23 and you will use the participants 3-26).
a) Create an SPSS file and enter the data. When you submit the assignment attach the file (5 points).
b) Run a regression analysis with the data. Follow the steps as explained to you in the lab. Attach the SPSS output file to this assignment (5 points)
c) Interpret the results. You need to comment on the stats you got (e.g., “R2 = 0.36 means that the regression equation explains …”) and what they mean (e.g., “This means that the older the person the more he/she likes math”. Follow the steps as explained in class/lab. The TAs will show you what needs to be included (10 points).

2) Pick five suitable variables from the ECLS-K database (four IV and one DV). One of the IV you need to dummy-code.
a) Run a multiple regression analysis with the data. Follow the steps as explained to you in the lab. Attach the SPSS output file to this assignment (5 points)
b) Pick one participant and compute by hand for that participant the predicted outcome (based on the regression equation you found through SPSS). You need to write down the steps (e.g., where in the SPSS output file did you find the coefficients). (5 points)
c) Interpret the results of the multiple regression. You need to comment on the stats you got (e.g., “R2 = 0.36 means that the regression equation explains …”) and what they mean (e.g., “This means that the older the person the more he/she likes math”. Follow the steps as explained in class/lab. The TAs will show you what needs to be included (20 points).

Responses are currently closed, but you can trackback from your own site.

Comments are closed.

Data analysis

Data analysis

Paper details:
Regression, Correlation, Tscore, F, Mean, standard devition…. and other things that are included in the powerpoint, shwoing math steps and equations and including all SPSS files output. everything is explained in the two labs powerpoint that are attached please have a look at them very important !!

LAB ASSIGNMENT # 3
1) This week collect some data from 10-20 participants (e.g., family, friends, fellow-students, etc.). Choose two simple variables such as how many text-messages the person got within the last hour(variable: TEXT) and their mood on a five-point scale (variable: MOOD). Make sure that you follow ethical standards when you do this (e.g., voluntary participation, person is not negatively affected by being asked). For this task you can team up with fellow-students; however, the data file you will create needs to be unique (e.g., you collect data with your friend from class; she will use the participants 1-23 and you will use the participants 3-26).
a) Create an SPSS file and enter the data. When you submit the assignment attach the file (5 points).
b) Run a regression analysis with the data. Follow the steps as explained to you in the lab. Attach the SPSS output file to this assignment (5 points)
c) Interpret the results. You need to comment on the stats you got (e.g., “R2 = 0.36 means that the regression equation explains …”) and what they mean (e.g., “This means that the older the person the more he/she likes math”. Follow the steps as explained in class/lab. The TAs will show you what needs to be included (10 points).

2) Pick five suitable variables from the ECLS-K database (four IV and one DV). One of the IV you need to dummy-code.
a) Run a multiple regression analysis with the data. Follow the steps as explained to you in the lab. Attach the SPSS output file to this assignment (5 points)
b) Pick one participant and compute by hand for that participant the predicted outcome (based on the regression equation you found through SPSS). You need to write down the steps (e.g., where in the SPSS output file did you find the coefficients). (5 points)
c) Interpret the results of the multiple regression. You need to comment on the stats you got (e.g., “R2 = 0.36 means that the regression equation explains …”) and what they mean (e.g., “This means that the older the person the more he/she likes math”. Follow the steps as explained in class/lab. The TAs will show you what needs to be included (20 points).

Responses are currently closed, but you can trackback from your own site.

Comments are closed.

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