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dc.contributor.advisorMcKnight, Curtis,en_US
dc.contributor.authorBraddy, Linda Sue.en_US
dc.date.accessioned2013-08-16T12:30:49Z
dc.date.available2013-08-16T12:30:49Z
dc.date.issued2000en_US
dc.identifier.urihttps://hdl.handle.net/11244/5916
dc.description.abstractThis study investigated differences in problems involving graphical representations of functions. Specifically, problems requiring students to answer questions about a given graph were compared with problems requiring students to construct a graph to meet specified conditions.en_US
dc.description.abstractNumerical results suggested true systematic differences in problems types do exist. Information obtained from personal interviews revealed differing opinions regarding difficulty level of the problem types, which supported the numerical findings. Seventy-five percent of the students interviewed thought it was more difficult to construct a graph to meet specified conditions than it was to answer questions about a given graph. Although it might be expected that only higher ability students would think constructing a graph is easier than answering questions about a graph, in fact three of the students who held this opinion had the lowest final course grades. In addition, the numerical results indicated the students prepared differently for examinations than for quizzes. Information from the interviews revealed that this was due in part to the fact that the examination and quiz scores were weighted differently in the calculation of final grades. The interviews also revealed two basic strategies students used to construct graphs, in addition to several unexpected misconceptions held by the students.en_US
dc.description.abstractA major result of this study is a warning against assuming comparability in assessment items involving graphical representations of functions. An additional result is a warning against the use of simple tests of differences in mean achievement to determine if items are similar and comparable. When the measurement situation is unclear, studies such as this generalizability study of what factors contribute to variance become especially important.en_US
dc.description.abstractSubjects for the study were students enrolled in a first-semester calculus course during the 1998 fall semester at a medium-sized regional university. Thirty-two students, 13 females and 19 males, completed 24 problems involving graphical representations of functions. Half of these problems required students to answer questions about a given graph, and the other half required students to construct a graph meeting specified conditions. The students' written solutions to these problems were scored by two raters. Generalizability theory was used to study the differences between the two types of problems.en_US
dc.format.extentxi, 154 leaves :en_US
dc.subjectFunctions.en_US
dc.subjectEducation, Higher.en_US
dc.subjectGraphic methods.en_US
dc.subjectEducation, Mathematics.en_US
dc.subjectGraph theory.en_US
dc.titleConstructing graphs to meet specified conditions: A generalizability study.en_US
dc.typeThesisen_US
dc.thesis.degreePh.D.en_US
dc.thesis.degreeDisciplineDepartment of Mathematicsen_US
dc.noteSource: Dissertation Abstracts International, Volume: 61-02, Section: A, page: 0537.en_US
dc.noteAdviser: Curtis McKnight.en_US
ou.identifier(UMI)AAI9961563en_US
ou.groupCollege of Arts and Sciences::Department of Mathematics


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