LATIFAH BINTI SALIM (1613236)
ILI NASEEHA BINTI NORSILAN (1719094)
INTAN NURHANI BINTI ABD HAMID (1710934)
NURUL ALESS BINTI ZAINAL ABIDIN (1718728)
NADIA NUR ARINA BINTI RUDY HARIS (1711410)
ATTIEYAH FARHANA BINTI ASHRAF FARHAN (1713096)
This blog is design to fulfill the requirement of PSYC1998 Psychological Statistics as part of our group project. In this study we aim to measure the level of depression and mental well-being among IIUM Undergraduate Students across all 4 levels of study. The Scales used for this survey are Zung Self-Rating Depression Scale (1965) and Warwick-Edinburgh Mental Well-Being Scale (2006).
The questionnaires were distributed via Whatsapp to 40 samples of IIUM students from different courses that were picked randomly. The medium for answering the questionnaire was through Google Drive. The sample included 20 males students and 20 females students. The sample of each level are 5 males and 5 females.
INTRODUCTION:
We have decided to choose questionnaires from Zung Self-Rating Depression Scale (Scale A) and Warwick-Edinburgh Mental Well-Being Scale (Scale B).
SCALE A
ILI NASEEHA BINTI NORSILAN (1719094)
INTAN NURHANI BINTI ABD HAMID (1710934)
NURUL ALESS BINTI ZAINAL ABIDIN (1718728)
NADIA NUR ARINA BINTI RUDY HARIS (1711410)
ATTIEYAH FARHANA BINTI ASHRAF FARHAN (1713096)
This blog is design to fulfill the requirement of PSYC1998 Psychological Statistics as part of our group project. In this study we aim to measure the level of depression and mental well-being among IIUM Undergraduate Students across all 4 levels of study. The Scales used for this survey are Zung Self-Rating Depression Scale (1965) and Warwick-Edinburgh Mental Well-Being Scale (2006).
The questionnaires were distributed via Whatsapp to 40 samples of IIUM students from different courses that were picked randomly. The medium for answering the questionnaire was through Google Drive. The sample included 20 males students and 20 females students. The sample of each level are 5 males and 5 females.
INTRODUCTION:
We have decided to choose questionnaires from Zung Self-Rating Depression Scale (Scale A) and Warwick-Edinburgh Mental Well-Being Scale (Scale B).
SCALE A
SCALE B
1. CODING STRATEGY
Firstly, after we collected all the data, we keyed in the data into Microsoft Excel and the data from the questionnaires that we keyed in into Microsoft Excel must be matched with the data view in SPSS.
Then, we clicked the value labels to differentiate
between male and female by grouping them into 1 as male and 2 as female.
We do the same thing to other types value where we clicked the values column and give a text label for category codes for all the selected variables. Besides, we also selected the appropriate level of measurement under the measure column before we proceed to the next step.
2. CREATE A DATAFILE
For the data file set up, we list all the variables in the Variable View tab. We can only use alphabets and numbers to name our variables. However, SPSS does not allow us to use an illegal characters such as “@, #, %, !, *, ?” or even space bar in name the variables. The data in the variable view tab should be modified appropriately in order to make the data looks neat and organized. For instance, we changed the decimals to zero because the scores do not have the decimal point.
After that, to create a data file. We save the variable
view in one file as one document before we proceed to the next step.
3 KEY IN THE DATA
For the data file set up, we list all the variables in the Variable View tab. We can only use alphabets and numbers to name our variables. However, SPSS does not allow us to use an illegal characters such as “@, #, %, !, *, ?” or even space bar in name the variables. The data in the variable view tab should be modified appropriately in order to make the data looks neat and organized. For instance, we changed the decimals to zero because the scores do not have the decimal point.
3. PREPARE A CODEBOOK
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To prepare a codebook, firstly, we clicked analyse -> reports -> codebook. Then, in the variables tab, we transfered all the variables that we wanted into codebook variables box.
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 In the output tab, we untick all the options except label, value label, missing value and the maximum number of categories. |
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In statistics tab, we ticked all options in
both sections. After that, we clicked OK button and then the result will come out
like this.
4. SCREEN, CLEAN AND PREPARE DATA
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In order to check the missing value and check mistakenly entered data, the data will be checked from any outliers.
For the data screening, we use EXPLORE command to all the variables in order to check and ensure that all the variables are free from any outliers and missing values.
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Firstly, we clicked analyse -> descriptive
statistics -> explore. Then we put all the variables that we wanted into a
dependent list.
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Then, clicked the statistics tab and only ticked descriptive and outliers.
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After clicked CONTINUE, the result will come out like
this. Based on the table above, the descriptive table is describing all the information that we can refer such as range, minimum and maximum number of the data to know if there is a mistakenly entered data or not.
Table above shows an evidence that the data have no error or outliers by looking at the missing value, range, minimum and maximum. |
Next, we clicked graphs -> legacy dialogs ->
histogram. Then, we select the selected variables into the specific box.
Afterwards, we click OK button. The result will come out like this.
5. DESCRIPTIVE STATISTICS
5. DESCRIPTIVE STATISTICS
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To get the descriptive analyse, first thing
first, we clicked analyse -> descriptive statistics -> descriptive. Then,
we transfered all the data that we want into variables box.
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Click options. After that, tick all the
options except variance, range, S.E mean, alphabetic, ascending means and
descending means. Then click CONTINUE. The result will come out like this.
6. PAIRED SAMPLES T TEST
To start with, we click analyse -> compare means -> paired-sample t-test
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After that, we divided the selected information that we want into two
categories which are variable 1 and variable 2. Then click OK.
RELIABILITY TEST: CRONBACH’S ALPHA
7. REPORT THE RESULTS
A paired-samples t-test was conducted to measure the level of stress and depression among IIUM undergraduate students across all the 4 levels of study before and after watch a motivational video. There was a significant difference in the result before the participants watch a motivational video which for total well-being before is (M=49.25, SD=8.619) and for total depression before is (M=48.40, SD=5.834) and after the participants watch a motivational video which for total well-being after is (M=55.30, SD=9.688) and for total depression after is (M=49.93, SD=6.014); t (39) =-2.202, t (39) =-5.135, p = 0.034 in measuring stress and depression test. These results show that the motivational video give an impact to majority IIUM students. Therefore, it can be concluded that there is a significant difference in the level of stress and depression among IIUM undergraduate students across all the level 4 of study at before and after.
8. REFERENCES:
American Psychological Association. (2011). Publication Manual of the American Psychological Association (6th Ed.). Washington, DC: American
Psychological Association.
Aron, A., Aron, E. N., & Coups, E. J. (2013). Statistics for Psychology (6th
Ed.). Upper Saddle River, NJ: Pearson Education International.
Pallant, J. (2013). SPSS survival manual. McGraw-Hill
Education (UK).
Stewart-Brown,
S., & Janmohamed, K. (2008). Warwick-Edinburgh mental well-being scale.
User guide. Version, 1.
Zung,
WW (1965) A self-rating depression scale. Arch Gen Psychiatry 12, 63-70.
Bayekolaei, M.
D., Nor, N. B. M., Sohaei, R., Berneti, A. K. M., Zerafat, R., & Saravi, H.
R. (2015). Application of Two-Valued and Fuzzy Logics Teaching in Understanding
the Precise and Approximate Concepts. International Journal of Education & Literacy
Studies, 3(3), 37.
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