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_quarto.yml

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mainfont: "Atkinson Hyperlegible"
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week10/lab.qmd

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---
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title: "Lab 10: XX"
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subtitle: "XX"
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title: "Lab 10: Preview to next term"
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subtitle: "Lots of fun ahead"
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image: "lab.png"
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author:
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- name: "Dr. Gordon Wright"
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# Title page populated by content above
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---
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## Today's activities 20000000
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# Welcome to Lab 10
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::: incremental
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1. Complete the Pulse (2 topics - 5 mins Max)
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2. Consider how to approach the Critical Proposal to best effect
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3. Start identifying candidate papers
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1. Use the tools suggested below (or share others!)
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- **Today's Focus**: Finalise your ethics applications
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2. Show it to LTs and/or Gordon - get specific!
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:::
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## Looking ahead to term 2!
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- **Study Swap**: Opens in week 11 and you learn by doing!
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- **Goal**: Learn from peers by participating in each other's studies.
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- **Why?**: Experience the challenges and creativity under shared constraints.
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# Literature searching
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# Compulsory Participation
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## How It Works
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- **Everyone Participates**: All second-year students will take part in each other’s studies.
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- **Participation Cap**: There will be a maximum number of required participations.
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- **Flexibility**: You are encouraged to join more studies if interested.
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# Why Participate?
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## Key Learning Outcomes
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- **Shared Constraints**: See how peers solve similar research challenges.
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- **Research Insight**: Learn what works and what doesn’t from others’ approaches.
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- **Improved Design Thinking**: Refine your study delivery ideas for future projects.
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## Learning by Doing
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- **Understand All Moving Parts**:
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- Study design choices
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- Data collection methods
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- Participant management
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- Ethical considerations
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## Learning by Doing
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- **Think Critically About Delivery**:
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- How will you run your study next year?
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- What methods will you avoid or adopt?
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- How do study conditions affect data quality?
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## Summary
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- **Participate**: Engage with as many studies as possible.
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- **Observe**: Learn from different designs and execution strategies.
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- **Reflect**: Apply insights to future research projects.
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- **Ask Questions**: Use labs and forums for feedback and clarification.
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## Participation will be monitored!
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![](images/Screenshot%202024-12-08%20at%2017.14.06.png)
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## Thank You!
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- Be curious, be engaged, and learn by doing!
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- Have a great break and see you next term!

week10/lecture.qmd

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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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embed-resources: true
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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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## 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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# Questions?
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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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# Questions?
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- **Questions?**
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- Let's make research open and reproducible!

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