Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression - Rocconi, Louis M. (Higher education, 2013)
Keywords: Ability; Academic achievement; Analysis; Bias; College Seniors; College students; Colleges; Critical Thinking; Data Analysis; Education; Education, Secondary; Educational policy; Educational research; Extracurricular activities; Hierarchical Linear Modeling; Hierarchical scales; Hierarchies; Higher Education; Influences; Institutional Characteristics; Learning; Least squares method; Least Squares Statistics; Linear analysis; Linear equations; Linear models; Methodology; Methods; Modeling; Multilevel analysis; Multilevel models; Older people; Perception; Regression (Statistics); Regression analysis; School campuses; Secondary Education; Standard error; Statistical methods; Statistical variance; Student Development; Students; Variables; United States--US; San Francisco California; Ordinary least squares regression; Methodology; Critical thinking; Hierarchical linear modeling