Regression &amp; Linear Modeling: Best Practices and Modern Methods

Osborne, Jason W.

doi:10.4135/9781071802724

Cited by 69 publications

(87 citation statements)

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“…Since the dependent variable (ASE) is measured at the ordinal level, we used ordinal logistic regression (OLR) to identify which independent variable had a statistically significant effect on our dependent variable (see Figure 1). Deemed as a suitable procedure to analyze the influence of categorical predictors on an ordinal dependent variable, OLR requires two main assumptions: (1) absence of multicollinearity and (2) proportional odds (Osborne, 2016). For the absence-of-multicollinearity assumption, we verified that our predictors were not correlated with each other, by dummy coding our categorical variables (experience, satisfaction, age, and academic year) and by running a linear regression including all the independent variables.…”

Section: Multivariate Analysis: Ordinal Logistic Regressionmentioning

confidence: 92%

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Well Begun is Half Done: Using Online Orientation to Foster Online Students’ Academic Self-Efficacy

Abdous

2019

OLJ

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Past research suggests that the use of an online learning orientation is an effective proactive strategy to ease online students' transition into online learning. Based on a sample of 3,888 online students from an urban public university, we used ordinal logistic regression to understand the influence of students' satisfaction with an online learning orientation (OLO), their prior level of online learning experience, and their demographics on their academic self-efficacy (ASE). Consistent with prior research, our findings confirmed the influence of students' satisfaction with OLO, their prior online learning experience, and their gender on their ASE. Unsatisfied students were 85% less likely than satisfied students to express a high level of self-efficacy. In contrast, students' age and enrollment status proved not to be significant. Overall, our findings provide strong evidence about how the use of an OLO as proactive support strategy can boost online students' academic self-efficacy.Abdous, M. (2019). Well begun is half done: Using online orientation to foster online students' academic self-efficacy.

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Section: Multivariate Analysis: Ordinal Logistic Regressionmentioning

confidence: 92%

“…This assumption was validated for all the predictors except for gender (p = .010). The rejection of this assumption for gender is likely due to the large size of our data set (Osborne, 2016).…”

Section: Multivariate Analysis: Ordinal Logistic Regressionmentioning

confidence: 98%

Well Begun is Half Done: Using Online Orientation to Foster Online Students’ Academic Self-Efficacy

Abdous

2019

OLJ

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“…To do this, we used a quadratic model in the regression; quadratic equations use "a squared term to produce a curve with one inflection point or point where the slope changes direction" (Osborne, 2017, p. 27). The squared term is added to the regression equation (Osborne, 2017).…”

Section: Resultsmentioning

confidence: 99%

A Humanistic Framework Using Nonlinear Analysis to Evaluate the Working Alliance and Coping for Adolescents in Crisis

Balkin

Schmit

2018

J Humanistic Counseling

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“…R explained the correlation between the observed and predicted Y (outcome) scores. R 2 explained the overall variance accounted for (Osborne, 2017). Finally, the F statistic explained whether or not R 2 (variance explained) was statistically significant (Osbourne, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…The model assessed the change in the model R 2 to determine whether any of the variable blocks contributed to explaining additional variance in work performance scores (Osborne, 2017). Block 1, included each of the moderating variables age, gender, and job function.…”

Section: Discussionmentioning

confidence: 99%

The relationship between employee engagement and work performance for individuals working in active asset management: examining the moderate effect of age, gender, and job function.

Brenner¹

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thank you for your willingness to share your time with me, your feedback and perspective has expanded the lens through which I see the world. I would like to thank my colleagues and friends at River Road Asset Management, LLC, I so appreciate your support in this process. To Henry Sanders, for introducing me to organizational culture. You are, an amazing example of humility and leadership by example. To Andrew Beck, your passion for achieving greatness and commitment to bringing your team along with you is profound. No one has ever made me want to be better more than you. Finally, to my family, thank you for your immense support in this process. To my siblings, J.R. Aubrey and Katie Pogue, and Grandmother, Joy Baron, I have much gratitude for your endless encouragement. To my parents, Jim and Karen Aubrey, how privileged I am to be your daughter. As an adult, I realize the great sacrifice you made in your effort to give me every opportunity. Your example has taught me to find work that I v love and to pursue my passion, but to never forget, family always comes first. For each of you I am eternally grateful.

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Regression & Linear Modeling: Best Practices and Modern Methods

Cited by 69 publications

References 0 publications

Well Begun is Half Done: Using Online Orientation to Foster Online Students’ Academic Self-Efficacy

Well Begun is Half Done: Using Online Orientation to Foster Online Students’ Academic Self-Efficacy

A Humanistic Framework Using Nonlinear Analysis to Evaluate the Working Alliance and Coping for Adolescents in Crisis

The relationship between employee engagement and work performance for individuals working in active asset management: examining the moderate effect of age, gender, and job function.

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