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Henry's 699 -
A brainstorm of research questions, analysis techniques…
Henry's 699 -
A brainstorm of research questions, analysis techniques and intended outcomes
RQ: Are the A-E user classifications identified in the interviews also present in the survey data set?
If A-E groupings are not identifiable in the survey data set OR if we find evidence for bulletin users being grouped in some other way...
...what are the alternative groups (latent clusters/ segments) present in the survey sample and what are the main factors/ latent constructs that separate them?? Geographic location? Time since last training?
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What are the common sequences of answers? Ie are there consistent 'pathways' or groups of respondents that answered in a similar way?
- PCA?
- Clustering analysis?
- Correspondence analysis?
- Latent class analysis?
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Answering this question would require forming a kind of catalogue that details what each usertype should be capable of in the skills-based questions
Perhaps it's not possible to confirm/ disconfirm whether the A-E classifications exist, given the type of data that we've collected, it may be hard to extract the same patterns that Anne and Patrick have observed
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RQ: Do inaccurate self-assessments of bulletin-use proficiency produce under-performance among backcountry users?
...what are the common characteristics of these individuals?/ What factors might predispose someone to be inaccurate in their self-assessments? (Ehrlinger 2016)
Are overconfident individuals subject to a greater level of risk than the rest of the backcountry population? What other possible detriments are there? E.g. decreased performance (Schumann 2014)
This could be evaluated by comparing 1) bullusetypes 2) confidence questions 3) info thresholds with performance in the skills-based questions
Which segments of the survey sample are the most inaccurate in their self-assessments of bulletin proficiency?...
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