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Essay / Research Paper Abstract
A 3 page paper discussing the method that will be used in an upcoming study, explaining the choice of including both qualitative and quantitative components. The qualitative component will seek to discover teachers' and students' attitudes and perceptions, while the quantitative aspect will assess changes in grades as a result of the action research. Bibliography lists 4 sources.
Page Count:
3 pages (~225 words per page)
File: CC6_KSeduLDmeth.rtf
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Unformatted sample text from the term paper:
education is unique among disciplines employing empirical methods in that it so frequently addresses issues that are mutable according to populations, administrative structure, external societal conditions or other qualities.
Well-designed research can stand as relevant for decades, but lesser efforts may or may not be useful in practice at any time. The
study will contain both qualitative and quantitative aspects. The first will assess students and teachers attitudes and perspectives; the second will measure accomplished changes. Definitions of Reliability and Validity
There are three types of questions commonly used in qualitative research projects: descriptive, relational and causal. The most demanding of these three
is the causal questionnaire. Descriptive questions are those that are simply opinion polls. They seek to find out the opinions of a certain population. Relational studies are
those in which questions are used to define relationships between two or more variables. Relational studies are most likely to use statistical examination of data to determine whether links
exist between variables. The Causal study is a cumulative effort of the three types of questions that are asked. Cause and effect,
that is, "causal" questions are those which would compare the type of activity (the cause) with the effect of that cause. This type of relational study, according to Cornell
University, assumes that you can "first describe each of the variables you are trying to relate" and that a causal study assumes that you can describe "both the cause and
the effect variables and that you can show that they are related to each other" (Trochim, 2004). When we consider whether or not
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