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The tutorials are not compulsory, out tney wm otter you ana a tutor tne cnance to worK tnrougn issues and problems you encounter in this course. These SPSS "practicals" will support you in everything from simple data entry to complex multi-variate analysis. It is advisable that you actively leverage these practicals, as progress in collective understanding is a huge boost to your private study.
Learning Objectives By the end of this week, you will:
The viable Hypothesis that would enable me to interrogate the given data would be:
Null hypothesis; there is no positive intervention to the treatment of the participants’ depression.
Alternative hypothesis; there is a positive intervention to the treatment of the participants’ depression.
Testing the null hypothesis would give me the reason as to why I would like to compare participants’ scores in each treatment group at the start of the study. Khan, R.A.G., Khan, and Khan (2011)
I will be using the paired sample T-Test to test the hypothesis.
From the analysis on SPSS as shown by the results I have found out that the Paired- Sample T-Test gives a significant value of 0.000 which is less than 0.005. This leads to the rejection of the null hypothesis and accepts the alternative hypothesis. By this, the test is statistically significant. Norušis (2011)
Running analysis of the data set’s descriptive statistics and reporting the table.
When comparing groups by condition and gender, I realized that the paired correlation cannot be computed because at least one of the variables is a constant.
The condition and the gender that has the highest mean are Electro Convulsive Therapy and Male. This can be deduced from the table below where we see can a label of 2.00 which stands for Electro Convulsive Therapy and this is the male gender variable. In this variable to we have a mean of 27.6833 which is more than 25.4500 found on the female gender variable section with label 1.00 which stands for Placebo. Bolin (2014). Hayes, Andrew (2013)
Analyzing the distributions of the histograms by mean from the first to the last condition, I find that the condition is negatively skewed, skewed to the right. The means keep on rising from the first condition as per the question to the last condition and therefore the results of the different conditions are not normally distributed.
When the histogram is run strictly for gender for all the conditions you realize that data is normally distributed as below.
Brace, Snelgar, and Kemp (2012)
As I conclude from the data of the significant value then I found out that the there is a positive intervention to the treatment of the participants’ depression. And by this, we stick to the alternative hypothesis and reject the null hypothesis.
Norušis, M.J., 2011. IBM SPSS statistics 19 guides to data analysis. Upper Saddle River, New Jersey: Prentice Hall.
Khan, R.A.G., Khan, F.A. and Khan, M.A., 2011. Impact of training and development on organizational performance. Global Journal of Management and Business Research, 11(7).
Bolin, J.H., 2014. Hayes, Andrew F.(2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression?Based Approach. New York, NY: The Guilford Press. Journal of Educational Measurement, 51(3), pp.335-337.
Brace, N., Snelgar, R. and Kemp, R., 2012. SPSS for Psychologists. Macmillan International Higher Education.
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