VUW Psych 447: Statistics for Psychological Science in R

What to submit?

Weekly journal entries (about 100 - 200 words)

(10 X journals = 10%)

Journals are due every Tuesday one week after the relevant’s weeks week lecture. So the final journal is due on 1 June 2021 (see the journal/workbook submission schedule below).

Format: you will document your insights, questions, and frustrations in a weekly journal. This record should include how you have sought help to address your questions, and how you have offered help. The purpose of the journals are to cultivate skills for interacting with the R community, and for documenting the research process.

Weekly workbook / problem sets

Weekly workbooks are here (10 x problem sets = 50%)

We will have 12 workbooks, but you will only be marked on your best 10. You may therefore skip 2 x workbooks. You also may due 11 or 12 workbooks, but only the top 10 will count.

Workbooks are due every Tuesday one week after the relevant’s weeks week lecture. So the final workbook is due on 1 June 2021 (see the journal/workbook submission schedule below).

Final report consisting of:

• 1 x short article (2500 word max): project due May 31 2021: 35%
• 1 x GitHub website profiling your CV: project CV due May 31 2021: 5%
• Note we require your project idea by the lab meeting on 31 March 2021.

= 40%

Due dates for problem sets and journals

One week after the relevant lecture, hence:

• Week 1 workbook/journal due: MAR 2
• Week 2 workbook/journal due: MAR 9
• Week 3 workbook/journal due: MAR 16
• Week 4 workbook/journal due: MAR 23
• Week 5 workbook/journal due: MAR 30
• Week 6 workbook/journal due: APRI 20
• Week 7 workbook/journal due: APRIL 27
• Week 8 workbook/journal due: MAY 4
• Week 9 workbook/journal due: MAY 11
• Week 10 workbook/journal due: MAY 18
• Week 11 workbook/journal due: MAY 25
• Week 12 workbook/journal due: JUNE 1st

Due date for final project

Monday May 31st

Due date for GitHub CV

Monday May 31st

Assessment criteria

Assessment criteria for weekly journals

The purpose of the journal is to provide evidence of course engagement:

• did the student attempt to learn the material for the week?
• did the student seek help when help was needed?
  
• did the student offer help?
• did the student’s engagement exhibit
  • rigour?
  • determination?
  • originality?

Assessment criteria for workbooks

Rigour

• Are the answers correct?
• Did the student comment on all code?
• Is the work reproducible?
• Did the student the student accurately record the process of data analysis, including sources for the approach?

Clarity

• Are the comments and text clearly written and easy to follow?
• Is the document well organised?

Creativity

• Did the student show evidence for clarity, creativity, and rigour, and thoughtfulness in reasoning about the approach?
• Did the student seek and offer help?
  
• If so, did the student seek and offer help effectively?

Assessment criteria for the final report

Rigour

• Did the student comment on all code?
• Is the work reproducible?
• Did the student the student accurately record the process of data analysis, including sources for the approach?
• Is the report accessible on GitHub, and where relevant OSF?
• Does the GitHub/OSF workflow exhibit order and clarity?
• Are the graphs appropriate, clear, and helpful in understanding the results?

Clarity

• Are the comments in the analysis clearly written and easy to follow?
• Is the analysis reproducible?
• Is the report clearly written and easy to follow?
• Does the document structure guide the reader’s understanding of the analysis and inference?

Creativity

• Does the approach in the analysis reflect mastery of the analytic procedures covered in this course
• Does the analysis reflect mastery of the graphical and analytic methods taught in this course?
• Are the conclusions well-supported and correct?
• Does the report describe future pathways for research.

Assessment criteria for the GitHub CV

Rigour

• Is the GitHub repository for the webpage efficiently structured?
• Does the wepage work?
• Is all code commented?

Clarity

• Is the webpage page easy to navigate
• Is the webage overly cluttered?

Creativity

• Is the CV page easy to read?
  
• Does the webpage contain an academic CV?
• Does the webpage contain a student’s education, skills, and training?
• Does the webpage convey the student’s professional qualities, research, and skills?
• Does the webpage make effective use of data visualisation and images?

Where to submit?

All assessments to be submitted on Blackboard

Weekly journals

• Except for the first journal in which you are to submit an Rmd file, please submit your journals on Blackboard as text files in the relevant text box.

Weekly workboks

• as .Rmd files and as .doc or .pdf files (.docx, .rtf and .txt = OK too)

Final report

• as .doc or .pdf files (.docx, .rtf and .txt = OK too)

GitHub CV

• as a link to your webpage.