![]() The validity, on the other hand, refers to the. For example, if you measure a cup of rice three times, and you get the same result each time, that result is reliable. ![]() When it comes to data analysis, reliability refers to how easily replicable an outcome is. Formulae are presented so that the researcher can calculate these estimators without the use of sophisticated statistical software. However, in research and testing, reliability and validity are not the same things. Although some qualitative researchers disagree agree with such application, a link between the qualitative and quantitative fields is successfully established through data collection and coding procedures.ĭata Collection and Analysis: Narrative data were collected from a random sample of 528 undergraduate students and 28 professors.įindings: The calculation of the kappa statistic, weighted kappa statistic, ANOVA Binary Intraclass Correlation, and Kuder-Richardson 20 is illustrated through a fictitious example. However, the reliability of the different works surveyed may sometimes be questionable. This concept is a broader issue than reliability. Purpose: This paper presents quantitative methods for determining the reliability of conclusions from qualitative data sources. Validity refers to whether the measurements reflect what theyre supposed to measure. ![]() With respect to qualitative research, measurement typically occurs during the coding process. Background: Measurement is a indispensable aspect of conducting both quantitative and qualitative research and evaluation. ![]()
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