1986
DOI: 10.1119/1.14705
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The influence of physics laboratories on student performance in a lecture course

Abstract: We have studied the lecture course performance of approximately 2500 students enrolled in general physics over a five-year period to determine the influence of laboratory enrollment on lecture course performance. A statistical analysis showed the major determinants of lecture performance to be the SAT math score, overall grade average, and lab enrollment, with a significant interaction between overall grade average and lab enrollment. The results show that grades of good and poor students were influenced very … Show more

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Cited by 13 publications
(12 citation statements)
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“…Because of the major differences in assessments and grading systems between the studio and other lecture formats, we have excluded the studio students from the main analyses and instead report results for these students in a separate section. Although it is nonideal to use post hoc , observational data to identify outcomes of an educational experience (e.g., due to hindsight bias), we also find support for these descriptive and inferential statistical procedures as common and accepted for empirical studies in this discipline (Creswell, 2008; Fayowski & MacMillan, 2008; Goldstein & Perin, 2008; Long et al, 1986; Shavelson, 1996). Both binary logistic and linear regressions use covariates (independent variables) to predict the value of an outcome variable (dependent variable).…”
Section: Methodssupporting
confidence: 54%
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“…Because of the major differences in assessments and grading systems between the studio and other lecture formats, we have excluded the studio students from the main analyses and instead report results for these students in a separate section. Although it is nonideal to use post hoc , observational data to identify outcomes of an educational experience (e.g., due to hindsight bias), we also find support for these descriptive and inferential statistical procedures as common and accepted for empirical studies in this discipline (Creswell, 2008; Fayowski & MacMillan, 2008; Goldstein & Perin, 2008; Long et al, 1986; Shavelson, 1996). Both binary logistic and linear regressions use covariates (independent variables) to predict the value of an outcome variable (dependent variable).…”
Section: Methodssupporting
confidence: 54%
“…Practically, it can act to ease students' scheduling conflicts. Oftentimes these general science courses act as service courses for other disciplines, so offering the lecture and laboratory separately can also “benefit” students who are required to take only one of them for a particular course of study (Long, McLaughlin, & Bloom, 1986) and may ease the financial burden of the laboratory on the department (Dubravcic, 1979). Additionally, universities may not have sufficient physical laboratory space for all of the lecture students in a given term to enroll in the laboratory.…”
Section: Rationale and Research Questionmentioning
confidence: 99%
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