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Author Niall Miranda |
| Abstract Rating scales are tools that enable researchers to obtain empirical data from a theoretical construct. The quality of data obtained is influenced by subjective interpretation of the rating scale or measurement bias. A survey was conducted on eighty-two participants to determine the subjective interpretation of three distinct linear interval rating scales that employed either words to assign polarity, numbers to assign divisions or an experimental colour gradient. The data obtained in this study identified deficiencies in two commonly used questionnaires and recommended rating scale designs to attenuate measurement bias and improve the quality of data. |
