Zobrazeno 1 - 10
of 157
pro vyhledávání: '"William P. Dunlap"'
Autor:
William P. Dunlap, John M. Cornwell
Publikováno v:
Multivariate behavioral research. 29(1)
lpsative measures are multiple measures, where the data are collected, or are modified, in such a way that all subject totals across the measures are equal. Much has been written about factor analysis with such data, however, no clear consensus has b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35ef91ccedd3543388be3034beaa22b8
https://pubmed.ncbi.nlm.nih.gov/26771555
https://pubmed.ncbi.nlm.nih.gov/26771555
Publikováno v:
Journal of Applied Psychology. 91:1351-1358
The effects of skew on the standardized item alpha were examined with Monte Carlo techniques. Alphas computed from normal variables were compared with alphas from lognormal variables, ranks, and skewed versus normal Likert-type variables. The extent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9af805126a4cbefb503d75a4384f951b
https://doi.org/10.1037/0021-9010.91.6.1351
https://doi.org/10.1037/0021-9010.91.6.1351
Publikováno v:
Educational and Psychological Measurement. 63:931-950
The tetrachoric correlation coefficient ( r tet), computed from a phi coefficient, approximates what the bivariate normal correlation would have been had the dichotomous variables been analyzed in their continuous form with underlying normal distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5f554d8a28ac6b1fa50b1e5207de44b
https://doi.org/10.1177/0013164403251318
https://doi.org/10.1177/0013164403251318
Autor:
Michael J. Burke, William P. Dunlap
Publikováno v:
Organizational Research Methods. 5:159-172
The authors present guidelines for establishing a useful range for interrater agreement and a cutoff for acceptable interrater agreement when using Burke, Finkelstein, and Dusig’s average deviation (AD) index as well as critical values for tests of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90a71752a0447b778d0eb3b6fe1ab6d1
https://doi.org/10.1177/1094428102005002002
https://doi.org/10.1177/1094428102005002002
Publikováno v:
Journal of Applied Psychology. 87:583-589
This study documents how the use of A. I. Huffcutt & W. A. Arthur's (1995) sample adjusted meta-analytic deviancy (SAMD) statistic for identifying outliers in correlational meta-analyses results in inaccuracies in mean r. Monte Carlo simulations foun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ca9ae7c23810362fdee0027b5d0ec4
https://doi.org/10.1037/0021-9010.87.3.583
https://doi.org/10.1037/0021-9010.87.3.583
Publikováno v:
Presence: Teleoperators and Virtual Environments. 9:463-472
Although simulator sickness is known to increase with protracted exposure and to diminish with repeated sessions, limited systematic research has been performed in these areas. This study reviewed the few studies with sufficient information available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d8ce0d4a3a8c0f9208742a7d23df5a
https://doi.org/10.1162/105474600566952
https://doi.org/10.1162/105474600566952
Autor:
Ronald S. Landis, William P. Dunlap
Publikováno v:
Organizational Research Methods. 3:254-266
This article examines how the ordering of variables impacts conclusions regarding the presence of a significant interactive relationship in moderated multiple regression (MMR). It is argued that whenever the designation of a criterion is arbitrary, r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25e60406d2ed52647c67540cd65ce6c2
https://doi.org/10.1177/109442810033003
https://doi.org/10.1177/109442810033003
Autor:
William P. Dunlap
Publikováno v:
Behavior Research Methods, Instruments, & Computers. 31:706-709
McGraw and Wong (1992) have described a very appealing index of effect size that requires no prior knowledge of statistics to understand, which they termed CL, the common language effect size indicator. CL is the probability that a score randomly sam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86cded8cd2bb2cf7ee12f943b97b6289
https://doi.org/10.3758/bf03200750
https://doi.org/10.3758/bf03200750
Autor:
William P. Dunlap, Ronald S. Landis
Publikováno v:
The Journal of General Psychology. 125:397-407
Because multiple regression (MR) is a simplified case of canonical correlation, the authors present an alternative interpretation of MR in which loadings, in addition to weights, may be computed for predictors. The loadings, computed by both canonica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4fc07256ff4d78564be8a474be672d9
https://doi.org/10.1080/00221309809595345
https://doi.org/10.1080/00221309809595345
Autor:
William P. Dunlap, Leann Myers
Publikováno v:
Psychological Methods. 2:186-191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c88360ad707ffc44582b51b8c1379944
https://doi.org/10.1037/1082-989x.2.2.186
https://doi.org/10.1037/1082-989x.2.2.186