Data analysis using SPSS free online training descriptive and inferential

This article dedicated to helping the students and professionals in understanding the data analysis protocol and relevant research methodology for medical and health science field. It’s aimed to¬†guide the Advance Diploma students in understanding the principle underlying the concept of statistic either descriptive or inferential statistic in nature.

Data analysis training and workshop ADOC

  1. Questionnaire in Word
  2. Data Asal MS Excel (Tidak Di Edit)
  3. Data Excel Yang Telah Di Adjust (Tukar Coding)
  4. Data SPSS Yang Telah Di Setkan
  5. Data Syntax for training (ADOC)
  6. LATIHAN TAMBAHAN CUBA-CUBA JAYA




Advanced Research Methodology (Advance Diploma Oncology) – ILKKM Sg Buloh (19.3.2018)

Notes and Video Available HERE

Please download the data below and read the statement given. After that, please download the dataset and begin your data analysis as we discussed before. If you encounter any problem or question. Please do not hesitate to call/ Whatsapp me personally. Will help you all according;y.



Time taken for this exercise will be approximate>4 hours. Good luck and happy analyzing your data. Please submit your report by hardcopy within the time given. You are encouraged to use the proper analysis technique (hypothesis testing steps) and other ideas as given before to make the marking process easier.

Question

Dataset Examination

Good Luck =)

Data PHN 23.3.2018

 

DATA EXCEL

DATA SPSS

 

DATA DISCUSSION ADIC 2017

CLICK HERE TO SUBMIT YOUR DATA FOR DISCUSSION

OUTPUT FOR SPECIFIC GROUP

 

 

ADMW 2018 [Cohort 1 – 2018]

 

  1. KNOWLEDGE ON PERINEAL CARE AMONG POSTNATAL MOTHER (Responses)
  2. EXCEL BAGI MUKA
  3. DATA SPSS
  4. DATA SPSS EDITED (DAH COMPUTE) 2.00 PM

Recode data

RECODE b8 (5=1) (4=2) (3=3) (2=4) (1=5) INTO b8.cat.
EXECUTE.

RECODE b9 (5=1) (4=2) (3=3) (2=4) (1=5) INTO b9.cat.
EXECUTE.

RECODE b10 (5=1) (4=2) (3=3) (2=4) (1=5) INTO b10.cat.
EXECUTE.

RECODE b11 (5=1) (4=2) (3=3) (2=4) (1=5) INTO b11.cat.
EXECUTE.

RECODE b14 (5=1) (4=2) (3=3) (2=4) (1=5) INTO b14.cat.
EXECUTE.

RECODE b15 (5=1) (4=2) (3=3) (2=4) (1=5) INTO b15.cat.
EXECUTE.

RECODE b17 (5=1) (4=2) (3=3) (2=4) (1=5) INTO b17.cat.
EXECUTE.

 

COMPUTE total=b1 + b2 + b3 + b4 + b5 + b6 + b7 + b8.cat + b9.cat + b10.cat + b11.cat + b12 + b13 +
b14.cat + b15.cat + b16 + b17.cat + b18 + b19 + b20.
EXECUTE.

COMPUTE mean=total/20.
EXECUTE.