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---
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- title : " Lecture 10: STUFF "
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- subtitle : " STUFF "
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+ title : " Lecture 10: Open Science Practices for your MD "
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+ subtitle : " Important information "
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date : " 12/09/2024"
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categories :
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- " Lecture"
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data-background-color : " #3d0158" # Plum
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header : " Research Methods Lecture 10" # Replace it
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hide-from-titleSlide : " text"
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+ mainfont : " Atkinson Hyperlegible"
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+ embed-resources : true
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# pdf: default
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pptx : default
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# html: default
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freeze : auto
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---
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- ## Key topics today 20000
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+ # Introduction
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- The week ahead
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+ - ** Purpose** : Enhance transparency, reproducibility, and collaboration.
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+ - ** Focus Areas** :
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+ - Open Data
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+ - Open Materials
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+ - Reflective Account
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- - Personal Tutor Meeting about Mini-Dissertation this week
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- - also Weeks 8 (ethics), 13 (write-up prep), 17 (Stats)
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- - It is your time, PTs have been told to follow your lead
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- - Critical Proposal overview and tips
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- - Lab preview - Literature search and management
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- - Your Critical Proposal Target Paper
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+ # Why Open Science Matters
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- ## Personal Tutor Meeting Week 3
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+ - Ensures research credibility and integrity.
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+ - Facilitates peer review and replication.
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+ - Increases research visibility and impact.
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+ - Encourages innovation and collaborative opportunities.
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- This week (week 3) you have 50 minutes with your Personal Tutor to
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- discuss the Mini-Dissertation
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+ # Open Data Requirements
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- ::: callout-tip
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- Your Personal Tutor is ANOTHER source of guidance and support.
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+ ## What is Open Data?
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- Give them the information they need to best help you on this journey.
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- :::
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+ - ** Definition** : Making research data accessible for transparency and reproducibility.
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+ - ** Benefits** :
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+ - Promotes collaboration.
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+ - Advances scientific knowledge.
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+ - Increases study credibility.
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- > [ Dear PTs, "Next week, you are given ** no information whatsoever** ,
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- > and are asked to turn up to your session with nothing other than
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- > perhaps a pen and paper, a big smile, and anticipation of lots of
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- > exciting research in the making."] {.takeaway}
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+ ## Preparing Your Data
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- ## Future PT Sessions devoted to the MD
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+ - Clean, validate, and anonymize your data.
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+ - Remove errors, inconsistencies, or missing values.
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+ - Anonymize participant data: Replace PII with unique identifiers.
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- Week 8 - Check on status of Ethics application, and troubleshooting
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+ ## Data Dictionary
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- Week 13 - Session to support Analysis Planning and Writing up/Submission
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- preparation
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+ - Document the dataset structure for easy understanding:
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+ - Variable names and descriptions
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+ - Data types (categorical, continuous)
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+ - Units of measurement (e.g., ms, hours)
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+ - Coding schemes (if applicable)
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- Week 17 - Result interpretation, and any concerns arising in the final
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- phase of the MD
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+ ## Documenting Pre-processing
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- # Any Questions?
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+ - Describe decisions on exclusions, missing data handling.
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+ - Keep a record of processing steps for transparency.
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- # Being critical and evaluating the work of others
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+ ## Choosing Suitable Formats
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- ## This is a topic and skill you've already been shownReview these materials and consider your performance of the assessment, and any feedback
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+ - CSV, Excel (.xlsx), SPSS (.sav), Jamovi, R.
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+ - Ensure formats are user-friendly and well-documented.
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- ## This year Critical Analysis has a 'point'
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+ ## Where to Avoid SPSS Dumps
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- The objective of the Critical Proposal is that you start to deploy the
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- tools you have practiced in the service of your Mini-Dissertations.
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+ - ** Important** : Do not submit the full SPSS output.
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+ - ** What to Include** :
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+ - Key statistics and results in your report.
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+ - Relevant outputs only for transparency.
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- A 'practical' exercise, success if determined in light of practical
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- value.
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+ # Open Materials Requirements
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- Helping to develop some aspect of your study design or methodology.
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+ ## Why Submit Open Materials?
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- You will probably follow this process 'a few times' for your final year
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- dissertation!
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+ - Enables replication and evaluation of research.
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+ - Ensures all materials are well-organized and complete.
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- ## Reading list items (Barber 2002; 2004)
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+ ## Key Materials to Include
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- ## Let's look at the example from last weekHow do I do it? \[ one approach\]
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+ - Stimuli (images, videos, text)
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+ - Experimental software/scripts
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+ - Data collection tools (surveys, questionnaires)
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+ - Consent, debriefing, and ethics forms
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+ - Study protocols and task instructions
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- Review literature on a key part of your 'puzzle' (an IV, a 'tool', the
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- DV etc)
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+ ## Documenting Your Materials
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- Apply critical evaluation to carefully chosen paper(s)
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+ - Provide a description of each item’s purpose.
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+ - Indicate whether materials are IVs or DVs.
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+ - Include labels, reverse-coded items, and response scales.
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- Consider how it might realistically guide or inform your own research
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+ ## Study Design
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- Identify a procedure to partially replicate, replicate, or replicate and
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- extend/improve
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+ - Study types: Repeated Measures, Mixed, Between-Groups.
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+ - Participants: Demographics, recruitment, sample size, inclusion/exclusion criteria.
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+ - Procedures: Task instructions, randomization, counterbalancing.
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- Detail how that takes shape and reflect on your confidence, skill base,
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- perception of value
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+ ## Anonymizing and Sharing
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- ## or
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+ - Ensure PII is removed.
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+ - Redact researcher names if anonymity is required.
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+ - Prepare files in text, spreadsheet, or PDF formats.
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- You could approach it [ strategically as a group ] {.underline}.
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+ ## Submission Organization
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- Identify areas to take ownership of, then divide and conquer!
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+ - Consider a README file for clarity.
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+ - Index documents logically for easy navigation.
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- [ Or fly solo and agree to later apply the same process to a mutually
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- beneficial part of your study] {.incremental}
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+ # Reflective Account Requirements
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- ## Critical Proposal Support
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+ ## Why Reflect?
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- ## Briefing
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+ - Develop deeper learning and research skills.
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+ - Prepare for future research projects and careers.
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- ## Please follow theseMore tips
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+ ## Reflection Guide 1/2
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- - Please review the "SUGGESTED ESSAY OUTLINE" in the coursework
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- briefing
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- - No need to follow it roboticly, be strategic & selective in terms of
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- details
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- - [ Selection of a 'good' paper to focus on is an integral part of the
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- assessment] {.underline}!
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- - Do you think the first google result will be a fruitful paper? No,
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- of course you don't!
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- - [ Use your Lab Tutor and me to get a sense of confidence.
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- Early.] {.takeaway}
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- - [ Tell us how you are searching and what you are looking
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- for] {.takeaway}
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- - [ Confirm the paper with us in a lab session \[ Priority given for
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- this\] ] {.takeaway}
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+ - ** Document Your Journey** :
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+ - Research phases, successes, and challenges.
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+ - Record decisions and learning experiences.
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+ - ** Ask Critical Questions** :
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+ - What worked well? What could improve?
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+ - How did challenges affect your outcomes?
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+
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+ ## Reflection Guide 2/2
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- ## Even more tips
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+ - ** Evaluate & Synthesize** :
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+ - Identify strengths and areas for improvement.
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+ - Set future research goals.
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+ - ** Consider Future Impact** :
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+ - How does your research fit into the broader field?
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+ - What next steps could advance this line of inquiry?
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- - Use some of the tools presented in the lab activity to help track
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- down a suitable paper
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+ # Summary & Reminders
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- - Give yourself time to read, review, re-read and select your juiciest
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- points
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+ - ** Must Submit** :
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+ - Open Data
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+ - Open Materials
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+ - Reflective Account
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+ - ** Ask Questions** :
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+ - Use lab sessions or discussion forums.
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+ - Seek feedback from peers and instructors.
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- - Avoid any discussion of methodologies that cannot inform your study
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- directly
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+ # Thank You!
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- - e.g. Clinical diagnostic procedures, fMRI technicalities,
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- Criminal Record or Case Study review procedures
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- ## You can (will) use LOTS of this in your MD!
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- This isn't a sidetrack exercise. It's a critical step in your project
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- Note your references, note your main points, be organised
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- ## Weeks 4 & 5
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- Talking about Variables and the 3 'flavours' of ANOVA in week 4
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- Week 5 is 'power calculations' and opportunity to discuss CP
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- But we will be moving on and the CP will be part of your independent
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- study
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- Same opportunities for RASA submissions/summer deferrals & resubmissions
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-
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- # Questions?
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-
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- ## New Teaching Fellow in Lab 03 WB300 9:30-11:30
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- Dr. Faize Eryaman
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- I'm going to meet her directly after this.
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- New to Goldsmiths, but a fantastic researcher and teacher.
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- Please help her settle in!
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- ## Roving Gordon
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- I shall be more available across all the labs now, and looking to help
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- out as much as I can!
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- I'm looking for opportunities:
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- - To share good ideas or practice
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- - To help confirm consistency and give you confidence
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- - To be another "guide at the side"
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- - To challenge you
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- - But not to confuse you or contradict your Lab or Personal Tutors
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-
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- # Questions?
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+ - ** Questions?**
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+ - Let's make research open and reproducible!
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