Sample Essay on:
Reliability and Validity in Statistical Studies

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Essay / Research Paper Abstract

A 5 page paper discussing reliability and validity. The paper begins with defining the terms; how they relate to each other; and why they are important in statistics. It then identifies statistical tests, and concludes with an example. Bibliography lists 4 sources.

Page Count:

5 pages (~225 words per page)

File: CC6_KSresReliabVal.rtf

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Unformatted sample text from the term paper:

Twain categorized lies for us, defining three types: "lies, damned lies and statistics." Another observer quipped many years later, "Figures dont lie, but liars figure." There are a raft of poorly-designed studies available, and researchers can "prove" virtually anything they wish by neglecting to address the concepts of validity and reliability in their designs. Well-designed research can stand as relevant for decades, but lesser efforts may or may not be useful in practice at any time. Definitions of Reliability and Validity There are three types of questions commonly used in 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" (Research Project). When we consider whether or not ...

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