Operationalization Process Sample Clauses

Operationalization Process. To operationalize the research variables is highly demanding task. In the light of previous research experience, it is believed that there is always an imperfect resemblance between the measure and the theoretical concepts which denotes that research measures signifies lack of complete representation of the research findings on the researched phenomenon. Literature indicates that research measurements contain an error component. Such an error represents the gap between an abstract concept and the measurable indicators for the very concept. Presence of this gap, which has effects on validity of studies’ findings, is vital for empirical research. Indispensability of eliminating error component in variable measurements has always been quiet tricky and tedious for the researchers. However, the common research practice employed to reduce the error demands the use of multiple indicators for one theoretical concept. That is, one abstract concept involves several measurable indicators. Developing measurements for research variables gives a cautious consideration on factors that will lead to a successful design of measurable instruments because the level of data utilized by the study is important in determining the choice for measurement instruments to be applied in research studies. In fact, there are four levels of data that can be used for scientific studies. The levels of data with their relative measurement are presented in the table 6.1 below. Table 5-1: Data Types Nominal Qualitative Ordinal Qualitative as well as Quantitative Interval Quantitative Ratio Quantitative We have used ordinal level data and interval data for this study. A seven point Likert scale for the purpose of collections and measurements of primary data from the respondents were used. A Likert scale is useful in measuring attitude. Similarly, its application in measuring ordinal data is considered to overcome criticism about scoring and allowing an expression of intensity of feeling (Xxxxx, 2003). Now let us address the accuracy issues of our measuring instrument for the study.
Sample 1
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