Statistical Analysis Using SPSS & R Workshop | INTERNATIONAL INSTITUTE OF AQUACULTURE AND AQUATIC SCIENCES
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Statistical Analysis Using SPSS & R Workshop

 

INTRODUCTION

This is an 8-hour workshop (broken down into two days) that covers what elements necessitate simple sample comparisons, and most importantly how to run the testing on select statistical software (R and SPSS). The organizer welcomes participation from those who are looking for a refresher, or a gentle introductory utility of one- and two-factor statistical tests e.g. t -tests and ANOVA 

 

WORKSHOP OUTCOMES

  1. Participants are able to independently run sample comparisons of one- and two-factor analyses (t-tests, one-way ANOVA, two-way ANOVA) on R, SPSS, or both
  2. Participants are able to interpret the analyses diagnostics and outputs

 

DATE AND VENUE  

      Date                      :           29th  to 30th November 2021

      Day                       :           Monday to Tuesday

      Platform                :           Zoom Meeting

 

YURAN

UPM staffs & students: RM100.00

International & others: RM120.00/USD30

 

TENTATIVES

 

Day 1 (4 hours)

  1. Refresher overview of population and sample parameters
  2. Can we 'accept' a research hypothesis (Ha) when p-value > α?
  3. Designing one-factor sample comparison: independent one-sample t-test, two-sample t-test, one-way ANOVA
  4. The sample mean comparison when samples are significantly different (post-hoc tests)
  5. Q&A and breather
  6. Data preparation (dataset provided)
  7. How do R and SPSS work?
  8. Importing data into R and SPSS
  9. Your first R code and let's run the analyses (script provided)
  10. Point-and-click away in SPSS and hit the run tab (steps provided)
  11. Output interpretation of diagnostics, visuals and hypothesis tests
  12. Running equivalent statistical tests if the normality assumption is violated (non-parametric)
  13. Content review

 

Day 2 (4 hours)

  1. When two-factor analyses (ANOVA) are interesting
  2. Designing two-factor experiments with or without replications
  3. Same samples, but measured multiple times (repeated measures design)
  4. When experimental units are in groups (randomised block design)
  5. Q&A and breather
  6. Data preparation and entry into R and/or SPSS
  7. Unroll the R script, re-type the code (if you wish) and run the analyses (script provided)
  8. Point-and-click away in SPSS and hit the run tab (steps provided)
  9. Output interpretation of diagnostics, visuals and hypothesis tests
  10. Content review 

 

Supplementary documents from the organizer

  • Notes
  • R code scripts
  • Practice datasets

 

 Optional requirement for participants

  • Laptops to install latest R, R Studio, and SPSS versions
  • Installation guidelines to follow instructions from the organizer
  • Please email proof of payment to: training.i-aquas@upm.edu.my 

 

PAYMENT LINK

 

Updated:: 26/10/2021 [m_fakhrulddin]

MEDIA SHARING

INTERNATIONAL INSTITUTE OF AQUACULTURE AND AQUATIC SCIENCES
Universiti Putra Malaysia
43400 UPM Serdang
Selangor Darul Ehsan
03-9769 8100
03-9769 8953
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