Validity and Reliability in Research
Researchers consider validity and reliability with each new study they design, for this case, an experimental design. This is because validity and reliability are not fixed but rather reflect a particular study’s unique variables. Consequently, represents the research design, instruments, and participants. Moreover, in the context of research design, two types of validity, speaking to the quality of different research process features, are considered. The Validity entails; internal validity and external validity (Taherdoost, 2016) (Validity and Reliability in Research).
A research study’s findings are internally valid if the researcher uses controls to determine that the outcome is indeed due to manipulation of the independent variable or the treatment. Consequently, external validity refers to the extent to which the findings are generalized from the sample. More so, to the population or other settings and groups. On the other hand, reliability refers to the replicability of the findings; the measure of stable and consistent research results (Taherdoost, 2016). A researcher can use test-retest reliability, parallel form reliability, inter-rater reliability, and internal consistency reliability to ascertain trends in analysis results (Validity and Reliability in Research).
In my research proposal, I achieve data validity and reliability through a systematic and transparent data collection approach to collect information from primary and secondary sources. Data collected from previewing previous studies and focus groups remain documented. Consequently, done in order to maintain a clear flow of processing and auditing. Moreover, my interactions with respondents are based on well-established research proceedings, and a focus on selected groups will help determine research consensus on research representation (Validity and Reliability in Research)
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