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suitable Data Collection Methods and Measurement of Variables for error-free research outcomes

The data collection stage is a crucial phase of the overall paradigm of research work. Effective data collection measures help researcher to align the available information to the overall evolution of the research objectives. The features of the data collection methods and measurement of variables can be characterized by two aspects: qualitative and quantitative. It is crucial for the researcher to adopt a suitable data collection method to avoid bias in the research study.

There are some methods that researchers can use for data collection and the measurement of variables. All these methods of data collection are categorized into primary and secondary methods. The feature of the primary data collection method can be observed in the form of quantitative and qualitative data. The particular technique of quantitative data collection comes up with the consideration of mathematical calculations to assess the response 1. On the other hand, the qualitative data collection technique is used to make inferences about the characteristics or attributes. The secondary data collection method is known as the method which considers the information first published in different books, newspapers, journals, etc. The researcher utilizes these sources to attain the desired information regarding specific research questions.

Proper measurement of variables also plays a crucial role in attaining error-free research outcomes. When measuring the variables it is necessary to understand that it is impossible to measure all the variables on the one specific level. The measurement of variables depends on the specific consideration of the variables. Nominal, ordinal, interval and ratio are known as the commonly used levels of measurement of variables. It is crucial for the researcher to adopt a particular level of measurement according to the requirement of applying the variable.


Saunders M. Research Methods for Business Students. Pearson Education; 2003.



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