The Use and Interpretation of Logistic Regression in Higher Education Journals: 1988–1999

By C. Y. Peng, Tak-Shing Harry So, Frances K. Stage, Edward P. St. John. 2002

273 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Organizational Behavior and Human Resource Management

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Citations in the corpus

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, neutral): “Informativeness [5, 44, 21, 25, 26, 45, 30, 32, 34, 35, 37, 38, 41, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 86, 87, 88, 89, 59, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 1”
Hispanic Student Success: Factors Influencing the Persistence and Transfer Decisions of Latino Community College Students Enrolled in Developmental Education (2010, methodology): “Evidence to support this notion has been found for both Latino/a and community college populations (e.g., Logerbeam et al. 2004; Pascarella et al. 2003 ).”
The Effect of Loans on the Persistence and Attainment of Community College Students (2006, methodology): “However, homoskedasticity of error terms is not a requirement of logistic regression (Menard, 1995; Peng et al., 2002), the estimation method employed in this analysis.”
The influence of board characteristics on sustainability reporting Empirical evidence from Sri Lankan firms (2014, background): “Also, the number of observations exceeded the minimum sample requirement of 100 observations, to conduct a logistic regression analysis (Peng et al., 2002).”
Understanding Differences in the Choice of College Attended: The Role of State Public Policies (2004, background): “The odds-ratio represents the change in the odds of a particular type of enrollment relative to the reference category (not enrolled) that is associated with a one-unit change in a particular independent variable holding constant all other variables (Peng et al., 2002).”
Understanding college degree completion of students with low socioeconomic status: The Influence of the Institutional Financial Context (2006, background): “The odds-ratio represents the change in the odds of persistence relative to not persisting that is associated with a one-unit change in a specific independent variable while holding all other variables constant (Peng et al., 2002).”
Reconsidering the Relationship Between Student Engagement and Persistence in College (2011, background): “Those who are concerned about student success in college must seek to understand student involvement in the academic and social realms of college life in order to improve student persistence (Astin 1999; Bean 1982; Bean and Metzner 1985; Pascarella and Terenzini 1991, 2005; Tinto 1987, 1993).”
UNDERSTANDING SOIL CONSERVATION DECISION OF FARMERS IN THE GEDEB WATERSHED, ETHIOPIA (2014, background): “When all other predictors are held constant, the odds ratio refers to the change in the odds of the response variable given a unit change in predictor (Peng et al., 2002).”
Parsing Disciplinary Disproportionality (2014, methodology): “Sequential effects—the influence of variables added later in the model on the contribution of variables already included in the model—were examined in order to assess interactions among the variables (Peng et al., 2002).”