Everything you need for the course WSRt of the second year of Psychology at the Uva

An confidence interval is an interval brought out an algorithm that by repeated use gives an X% change to hold the true population value.

The three most important elements of Bayesian statistics are:

• The Prior: the relative plausibility of hypothesis, before seeing the data
• Likelihood: the predictive updating factor
• The Posterior: the relative plausibility of hypothesis, after seeing the data

For more information about Bayesian statistics, check out my summary of the fourth block of WSRt

Weaknesses of the Bayesian approach are:

• The prior is subjective
• Bayesian analysis force people to consider what a theory actually predicts, but specifying the predictions in detail may by contentious
• Bayesian analysis escape the paradoxes of violating the likelihood principle, but in doing so they no longer control for Type I and Type II errors

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Criteria that should be held by good qualitative research are:

• Sensitivity to context
• Commitment
• Rigour
• Transparency
• Coherence
• Impact and importance

For more information about these criteria, look at my (free) summary of 'Introduction to qualitative psychological research, Coyle (2015)'.