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Jesse Egbert
Northern Arizona University
37Publications
7H-index
186Citations
Publications 37
Newest
Published on Jul 4, 2019in Journal of Applied Statistics 0.77
Brent D. Burch6
Estimated H-index: 6
(NAU: Northern Arizona University),
Jesse Egbert7
Estimated H-index: 7
(NAU: Northern Arizona University)
Published on May 16, 2019in Language Learning 2.00
Brett J. Hashimoto (NAU: Northern Arizona University), Jesse Egbert7
Estimated H-index: 7
(NAU: Northern Arizona University)
Published on Apr 1, 2019in Corpora
Jesse Egbert7
Estimated H-index: 7
,
Doug Biber
Published on Jan 1, 2019
Jesse Egbert7
Estimated H-index: 7
,
Shelley Staples7
Estimated H-index: 7
Published on Jan 1, 2019
Bethany Gray15
Estimated H-index: 15
(Iowa State University),
Jesse Egbert7
Estimated H-index: 7
(NAU: Northern Arizona University)
Published on Sep 25, 2018in Corpus Linguistics and Linguistic Theory 0.96
Jesse Egbert7
Estimated H-index: 7
(NAU: Northern Arizona University),
Douglas Biber40
Estimated H-index: 40
Published on Aug 23, 2018
Douglas Biber40
Estimated H-index: 40
,
Jesse Egbert7
Estimated H-index: 7
Published on Jan 1, 2018
Jesse Egbert7
Estimated H-index: 7
(NAU: Northern Arizona University),
Geoffrey T. LaFlair (UH: University of Hawaii)
Researchers in applied linguistics frequently encounter data that could be considered nontraditional, including categorical data, data that does not fit a traditional parametric model, and data that may not fit any distribution (distribution free). In this chapter we describe statistical methods for handling such data. We begin by introducing methods for analyzing categorical data, including the use of basic descriptive statistics such as measures of central tendency, measures of dispersion, fre...
Published on Jan 1, 2018
Douglas Biber40
Estimated H-index: 40
,
Jesse Egbert7
Estimated H-index: 7
(NAU: Northern Arizona University),
Meixiu Zhang1
Estimated H-index: 1
(NAU: Northern Arizona University)
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