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2012-02-27 19:19:16
Stats lec one

Stats for psychology
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  1. Norms
    an usual or expected practice, rather like custom
  2. Universalism
    Anyone can come up with an idea and if it's corroborated it should be recognised
  3. Organised scepticism
    Nothing is ever accepted as absolute truth
  4. Communalism
    Everything is shared in an open access community
  5. Disinterestdness
    being impartial in assessing your work as well as everyone else's
  6. Honesty
    don't make stuff up
  7. Empirical methods
    based on first hand experiences of the world
  8. Empiricism
    doctrine that ascribes superior truth-status to things that have been directly observed or manipulated over tings that cannot be observed or manipulated
  9. Rationality
    adherence to a system of reasoning
  10. Rationalism
    faith that rationality is the best guide to decision making
  11. Statistics and prbability
    a combination of empiricist and rationalist ideas
  12. Uncertainties in research
    all researchers engage with the unknown (both friend and foe)
  13. Distortion
    a systematic error with measurement (not random)
  14. Confusion
    Qualitative distortion; confusing one thing for another
  15. Inaccuracy
    • Quantitative distortion; systematic inaccuracy 
    • eg; over report about ourselves to bolster social desireability
  16. Incompleteness
    Missing or indeterminate information (to do with data analytic techniques)
  17. Absence
    • Missing information 
    • form of incompleteness
  18. Uncertainty
    • Indeterminate information 
    • form of incompleteness
  19. Probability and statistical uncertainty
    Likelihood of an event
  20. Ambiguity
    • Multiple possible meanings 
    • need more information to decide 
    • nothing to do with stats 
    • eg; hot food
  21. Vagueness
    • A range of values 
    • usually on a scale 
    • nothing to do with stats
  22. Strategies for managing uncertainty
    • Uncertainty can be; 
    •  described
    • quantified (sometimes) 
    • estimated 
    • manipulated in service of the researcher
  23. Topical uncertainty
    • How the researcher is to describe the object of their investigations (definition)
    • eg: What is trust?
  24. Investigative Uncertainty
    • concerns research questions and hypotheses 
    • eg: Is there a testable hypothesis? Or is the research being done to discover the hypothesis?
    • generative vs experimental research
  25. Methodological uncertainty
    • Refers to the design of the study 
    • eg; will it suit our purposes, answer our questions, test our hypothesis???
  26. Statistical Uncertainty
    Related to the analysis and to some extent the interpretation of data
  27. Interpretive Uncertainty
    despite having good data and sound stats, still not able to decide between competing interpretations