Basic stat tests for surveys and lab studies

1. Roshina Rabail
Master Trainer, PKNC. Ph.D. Human Nutrition and Dietetics,
NIFSAT, UAF.
10/05/2023
Roshina Rabail, Master Trainer, PKNC 1

2. SPSS stands for Statistical Package for Social
Sciences.
It’s a menu-based system for graphing and analyzing
data.
All you need is a little command or experience of
some spreadsheet program like Excel.
10/05/2023
Roshina Rabail, Master Trainer, PKNC 2

3. Step I: Assembling
Data of Your
Research Project
Step II: Inputting
Assembled Data
into SPSS Sheet
Step III: Application
of Suitable
Statistical Design
Step IV: Result
Interpretation
10/05/2023
Roshina Rabail, Master Trainer, PKNC 3

4. Numerical/Quantitative Data
(Laboratory Analysis)
First list your all results in “Excel
Sheet”
Make properly labelled columns
Include replications
Use 3 digits after decimal for
smaller values e.g. 0.334
Use 2 digits after decimal for
larger values e.g. 184.15
10/05/2023
Roshina Rabail, Master Trainer, PKNC 4

5. Nominal/Qualitative
Data (Survey-based)
First “code” your
research results in
Numbers (1,2,3,4,5,6,..)
List your all results in
“Excel Sheet”
Make properly labelled
columns
10/05/2023
Roshina Rabail, Master Trainer, PKNC 5

6. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 6
Coding your data for SPSS analysis
(Nominal/Qualitative)
First list your all results in “Excel
Sheet”
Go to Find & Select
Go to Replace
Write the nominals you want to
replace in upper row
Give appropriate code (1,2,3,4...)
and click “Replace all”

7. In
case
of
Nominal/
Qualitative/
survey
based
study:
Give codes to all
nominal values
Save codes in main
data excel sheet as
shown for record
keeping
10/05/2023
Roshina Rabail, Master Trainer, PKNC 7

8. Option 1: You can type in all
data one by one
Option 2: You can copy paste
data sheet from excel file into
SPSS sheet
Option 3: You can import data
file if you have already
working on previously built
SPSS sav. file
10/05/2023
Roshina Rabail, Master Trainer, PKNC 8

9. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 9
Open “Data view” in SPSS main
window, Label Treatment/Product/
Control codes in first column (Lab
research)
Paste data starting from
second column in SPSS Data
view

10. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 10
Open Original Excel sheet
and label data in SPSS
Name Columns in “Variable view”
window, Type should be “Numeric”
& Measure “Scale”

11. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 11
Open Original Excel sheet
Copy paste coded data into
SPSS (Survey-based study)
Name Columns in “Variable view”
window, Type should be “Numeric”
& Measure “Scale”

12. Type of
Research/Data
Quantitative
(Lab & Efficacy
Results)
One-way
Anova
Independent
Samples T-test
Qualitative
(Results of
Survey Studies)
Independent
Samples T-test
Chi Square
10/05/2023
Roshina Rabail, Master Trainer, PKNC 12

13. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 13

14. Factor could be your Treatments/ Products/ or Independent
parameter against all other/ dependent parameters
Choose Post Hoc Design according to study e.g. LSD,
Tuckeys, or Duncan
Select “Descriptives” and “Mean plots” in options
10/05/2023
Roshina Rabail, Master Trainer, PKNC 14

15. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 15

16. Each Treatment is labelled in replicates in first column like 1,1,1;
2,2,2; 3,3,3 … for 3 replicates
Grouping value could be your Treatments/ Products/ or
Independent parameter against all other/ dependent parameter
or parameters
You can compare T1 with T3 or T5 (any independent sample) Or
you can choose a cut off point like 5 for treatment 1 to 10.
10/05/2023
Roshina Rabail, Master Trainer, PKNC 16

17. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 17

18. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 18

19. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 19

20. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 20

21. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 21

22. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 22

23. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 23

24. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 24

25. For Post Hoc: Means sharing the same letters in a column are not significantly different
from each other at p < 0.05
*** = very highly significant at p < 0.001
** = highly significant at p < 0.01
* = significant at p < 0.05
ns = non-significant at p < 0.05
10/05/2023
Roshina Rabail, Master Trainer, PKNC 25

26. 10/05/2023
Roshina Rabail, Master Trainer, PKNC 26