2014
DOI: 10.4135/9781544307763
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Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide

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Cited by 26 publications
(20 citation statements)
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“…A multiple regression basically predicts dependent variables from continuous independent variables. Including categorical independent variables as binary/dummy variables in the regression analysis may accurately predict the dependent variables [38]. The current data hypothesize that the categorical independent variables (i.e., sex, age levels, income levels, and worry levels) may affect the variance in the dependent variables (i.e., insomnia and daytime sleepiness).…”
Section: Discussionmentioning
confidence: 82%
“…A multiple regression basically predicts dependent variables from continuous independent variables. Including categorical independent variables as binary/dummy variables in the regression analysis may accurately predict the dependent variables [38]. The current data hypothesize that the categorical independent variables (i.e., sex, age levels, income levels, and worry levels) may affect the variance in the dependent variables (i.e., insomnia and daytime sleepiness).…”
Section: Discussionmentioning
confidence: 82%
“…Lastly, the study adopted a random sampling technique in selecting faculty members. This gave every faculty member equal chance of partaking in the study without any form of bias or prejudice (Nishishiba et al 2014) Instrumentation: this study used a survey questionnaire from the study of Adewale et al (2018) on leadership self-efficacy and Meyer and Allen (1997) on organizational commitment. The instrument consists of 28 items divided into five sections of A to E. Section A centers on demographic information of respondents.…”
Section: Methodsmentioning
confidence: 99%
“…Our research addresses this gap in the scholarly literature and further builds upon previous scholarly work via the study of an extreme case. The extreme case method (on this method: Seawright & Gerring (, p.297)) can be particularly helpful if researchers hope to develop a more nuanced and comprehensive understanding of a phenomenon (Nishishiba et al , p.84), in our case the impacts of uncertainty in the planning phase of a dam project. Our case is extreme for two reasons.…”
Section: Theoretical Framingmentioning
confidence: 99%