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pro vyhledávání: '"Lorah, Julie"'
Autor:
Lorah, Julie A.
Publikováno v:
Tutorials in Quantitative Methods for Psychology, Vol 16, Iss 1, Pp 33-45 (2020)
Moderated regression models include an interaction, or product term, and can be used to assess whether the relationship between a given independent variable (IV) and a dependent variable (DV) depends on a third moderator variable (MV). If the moderat
Externí odkaz:
https://doaj.org/article/9d64c326d62e41418d28da1f3a118564
Autor:
Lorah , Julie A.
Publikováno v:
Tutorials in Quantitative Methods for Psychology, Vol 18, Iss 1, Pp 111-127 (2022)
Interpretation of complex effects and models can be one of the most challenging and important aspects of quantitative data analysis. The present study tackles this issue for moderation effects, including random slope effects, for multilevel models. T
Externí odkaz:
https://doaj.org/article/979217a94f34475bb49daf2863d42a05
Autor:
Lorah, Julie
Publikováno v:
Primus: Problems, Resources & Issues in Mathematics Undergraduate Studies; 2024, Vol. 34 Issue 6, p668-685, 18p
Autor:
Lorah, Julie Ann, Miksza, Peter
Publikováno v:
Bulletin of the Council for Research in Music Education, 2019 Apr 01(220), 21-41.
Autor:
Lorah, Julie, Miller, Angie L.
Publikováno v:
Journal of Urban Mathematics Education; Dec2023, Vol. 16 Issue 2, p14-30, 17p
Akademický článek
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Publikováno v:
Research in Higher Education, 2014 Dec 01. 55(8), 810-832.
Externí odkaz:
https://www.jstor.org/stable/24571817
Publikováno v:
Journal of Research in Music Education, 2014 Oct 01. 62(3), 234-244.
Externí odkaz:
https://www.jstor.org/stable/43900253
Autor:
Lorah, Julie
Applied educational researchers may be interested in exploring random slope effects in multilevel models, such as when examining individual growth trajectories with longitudinal data. Random slopes are effects for which the slope of an individual-lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f74a623e64fc73d087c460fc64c4611
Publikováno v:
Journal of Graduate Librarianship.
Graduate-level statistics education is often narrowly focused on the mathematical aspect of modeling. While this aspect is important, this focus results in a gap in the student’s understanding regarding the context of the development and use of sta