Measurement Concept, Measurement Error and Quality Inspection of Research Instruments for Conducting Quantitative Research in Economics and Business Administration
Keywords:
Measurement, Measurement Error, Quality Inspection of Research Instruments, Conducting Quantitative Research, Economics and Business AdministrationAbstract
In designing the quantitative research in economics and business administration, a focus must be placed on measurement, measurement error, validity and reliability for obtaining real research results. This academic paper aims to present the concept of measurement, measurement error and quality inspection of research instruments for conducting quantitative research in Economics and Business Administration by using a study method that carefully control the studied variables, searching for knowledge and truth by focusing on numerical data to a standard quality, use of statistical methods with a theory or principle to support the measurement, measurement error and quality inspection of research instruments. The importance in studying this concept is to use in research design and research framework to achieve a structure, research model, the scope of research, and guideline for conducting research to obtain the appropriate answers to the identified research problems. The concepts in the paper shows researchers the importance of controlling variable variance in research and research design. The information presented in this paper uses the correct concepts and theories as well as utilizing methods for conducting research in addition to general research textbooks. It presents the correct measurement process resulting in obtaining the value of something that is measured as a quantity, number, or symbol that requires a measure, such as a nominal scale, ordinal scale, interval scale, and ratio scale. Each type of measure is appropriate for the statistics used in the analysis to interpret different research results. For the measurement error, it is resulted from research instruments, researchers, and samples. Therefore, a method for systematically reducing measurement error has to be figured out by inspecting the research instrument for quality by estimating the validity and reliability. The validation method can be selected as the content validation method, structural validity, and validity to the relative criteria. For the reliability is a measure of the reliability of a research instrument in which a researcher must demonstrate consistency, accuracy and measurability over identified variables. In reliability determination, the researchers can choose one of the methods, which are finding internal concordance, finding stability, and finding equality.
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