44. Carl Kramer (1:57:45)

Date:
2018-03-27
Main contributors:
Indiana University
Summary:
Found in:
transcript (1070)

45. Analyzing ordinal data with metric models: What could possibly go wrong? (1:14:09)

Date:
2018-03-23
Main contributors:
John K. Kruschke
Summary:
(With co-author Torrin M. Liddell, Research and Statistics Analyst, Public Defender Commission, Indianapolis) We surveyed all articles in the Journal of Personality and Social Psychology, Psychological Science, and the Journal of Experimental Psychology: General that mentioned the term "Likert," and found that 100% of the articles that analyzed ordinal data did so using a metric model. We demonstrate that analyzing ordinal data as if they were metric can systematically lead to errors. We demonstrate false alarms (i.e., detecting an effect where none exists, Type~I errors) and failures to detect effects (i.e., loss of power, Type~II errors). We demonstrate systematic inversions of effects, for which treating ordinal data as metric indicates the opposite ordering of means than the true ordering of means. We show the same problems --- false alarms, misses, and inversions --- for interactions in factorial designs and for trend analyses in regression. We demonstrate that averaging across multiple ordinal measurements does not solve or even ameliorate these problems. We provide simple graphical explanations of why these mistakes occur. Moreover, we point out that there is no sure-fire way to detect these problems by treating the ordinal values as metric, and instead we advocate use of ordered-probit models (or similar) because they will better describe the data. Finally, although frequentist approaches to some ordered-probit models are available, we use Bayesian methods because of their flexibility in specifying models and their richness and accuracy in providing parameter estimates.
Found in:
metadata (29), transcript (984)

47. Herb Terry (2:44:00)

Date:
2018-03-14
Main contributors:
Indiana University
Summary:
Found in:
transcript (1811)

48. David Pace (1:08:00)

Date:
2018-03-09
Main contributors:
Indiana University
Summary:
Found in:
transcript (884)

50. Susan Hyatt (1:59:00)

Date:
2018-01-22
Main contributors:
Indiana University
Summary:
Found in:
transcript (1583)

51. Mikeal Wright (42:42)

Date:
2018-01-11
Main contributors:
Indiana University
Summary:
Found in:
transcript (645)

52. Moira Marsh (1:07:00)

Date:
2017-11-21
Main contributors:
Indiana University
Summary:
Found in:
transcript (703)

54. Sadie and the Sadists: A Reading of New Poems and Song Lyrics (1:14:15)

Date:
2017-09-27
Main contributors:
Muldoon, Paul
Summary:
In addition to his interest in the lyric poem, which he has now been exploring for fifty years, Paul Muldoon is drawn to the shadowy domain of the song lyric. His reading tonight focuses on new poems and songs, as well as work included in the recently published Selected Poems 1968-2014 (Farrar, Straus and Giroux) and Sadie and the Sadists (Eyewear).
Found in:
metadata (12), transcript (562)

56. Giles Hoyt (45:23)

Date:
2017-09-12
Main contributors:
Indiana University
Summary:
Found in:
transcript (474)

57. Peter Sehlinger (52:14)

Date:
2017-09-12
Main contributors:
Indiana University
Summary:
Found in:
transcript (702)

60. Diana Hanson (58:50)

Date:
2017-07-12
Main contributors:
Indiana University
Summary:
Found in:
transcript (567)