1. Dr. Siti Nor Binti Yaacob
18/9/2018
SPSS/SITINORYAACOB/SEM2_2014/2015
SPSS
Dr. Siti Nor Binti Yaacob

2. Quantitative Research
18/9/2018
SPSS/SITINORYAACOB/SEM2_2014/2015
Quantitative Research
Type of research objectives
Objective
Data analysis
Descriptive
To describe demographic background (e.g., age, gender), and the levels of independent variables (e.g., loneliness) and dependent variable (e.g., internet addiction.
Descriptive analysis
Difference between groups (bivariate)
Difference between two groups (0,1)
To examine the difference on tested variables (e.g., loneliness) among two groups (males and females).
Independent t-test
Difference between more than two groups (0,1,2)
To examine the difference on tested variables (e.g., internet addiction) among ethnics groups (Malay, Chinese and Indian).
One way ANOVA

3. Quantitative Research
18/9/2018
SPSS/SITINORYAACOB/SEM2_2014/2015
Quantitative Research
Type of research objectives
Objective
Data analysis
Relationship
(bivariate)
To examine the relationship between independent and dependent variables.
Pearson correlation
Relationship / Predicting Effect
(multivariate)
To determine the unique predictor of dependent variable.
Multiple regression analysis

4. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Data Entry
Varaible View

5. Data Transformation(recode data)
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SPSS/SITINORYAACOB/SEM2_2014/2015
Data Transformation(recode data)
Transform  Recode Into Different Variable  “choose your item”  input variable --> renew the name in output variable (name and label)  Change.
Old and New Values  eg. 1 change to 5  add  continue  OK

6. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Reliability test
Analyze  Scale  Reliability Analysis  choose all of the tested items
Scale label, type the name of variable .
Statistics  Choose “Item, Scale, and Scale if Item Deleted”.
Continue OK.

7. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Descriptive Analysis
Step 1: Analyze  Descriptive Statistics  Frequencies…
Step 2: select the variables and click in the box

8. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Step 3: Click “statistics” and choose “ mean, median, std. deviation, variance, range, minimum and maximum”.  click “continue”

9. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Step 4: Click “OK”.
Step 5: Interpret output

10. Example of Descriptive Table:
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SPSS/SITINORYAACOB/SEM2_2014/2015
Example of Descriptive Table:

11. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Independent t-test
Step 1: Analyze  Compare Means  Independent Sample t-test

12. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Step 2: Choose tested variable and put “groups” into “Grouping Variable”.
Step 3: State “Define Groups” (e.g., male= 0; female=1)
 continue

13. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Step 4: Click “OK”
Step 5: Output

14. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Step 6: Interpret output
Based on F significant value of Levene’s test (Circle with red color),
If F Value is not significant (p≥.05), report t-value and p value [sig. (2-tailed)] from “equal variance assumed”.
if F Value is significant (p<.05), report t-value and p value [sig. (2-tailed)] from “equal variance not assumed”.
Mean scores

15. Example of t-test table:
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SPSS/SITINORYAACOB/SEM2_2014/2015
Example of t-test table:

16. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
One way ANOVA
Step 1: Analyze  Compare Means  One-Way Anova
Step 2: Choose “tested continuous variables into the “Dependent list”.
Step 3: Choose categorical variable into the “Factor”.
Step 4: Post Hoc  Tukey
Step 5: Options  Choose “Descriptive”.
Step 6: Continue  OK

17. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Output

18. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015

19. One way ANOVA- Interpretation
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SPSS/SITINORYAACOB/SEM2_2014/2015
One way ANOVA- Interpretation

20. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Pearson Correlation
Step 1: Analyze  Correlate  Bivariate..

21. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Step 2: Select variables and click into “Variables” box
then click “OK”

22. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Step 3: Interpret output

23. Example of Pearson correlation table:
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SPSS/SITINORYAACOB/SEM2_2014/2015
Example of Pearson correlation table:

24. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015
Multiple regression
Step 1: Analyze  Regression  Linear.
Step 2: Choose dependent variable into “Dependent”.
Step 3: Choose independent variables into “Independent variables”.
Step 4: Statistics  Estimates, Confidence intervals, model fit, descriptives”.
Step 5: Continue OK.

25. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015

26. SPSS/SITINORYAACOB/SEM2_2014/2015
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SPSS/SITINORYAACOB/SEM2_2014/2015