Over the past years, a great deal of research efforts have been devoted to test predictions derived from Weiner's attributional theory of achievement behavior. Unfortunately, most attribution researchers suffer from serious measurement problems. In th...
Over the past years, a great deal of research efforts have been devoted to test predictions derived from Weiner's attributional theory of achievement behavior. Unfortunately, most attribution researchers suffer from serious measurement problems. In this regard, this article reviews methods for assessing causal attribution and causal dimension, and examines possible difficulties involved in each method through literature review. Major conclusions are as follows;
First, attribution researchers have been tended to uncritically accept inappropriate measurement techniques used in previous studies without considering psychometric adequacy such as validity and reliability. As a result, measurement procedures has not yet developed an adequate degree of sophistication until now.
Second, a variety of measures have been used to assess causal attribution in attribution research; open-ended procedure, independence ratings, percentage ratings, bipolar scalings, rankings, paired comparisions, and choice of major cause. According to some validation studies, independence ratings is more valid and reliable than other ipsative measures or open-ended procedure.
Third, measurement procedures which mathematically transform causal attribution into causal dimension relied on theoretical meaning of cause (i.e. indirect assessment of causal dimension) can not adequately assess attributor's phenomenal perception of the causal attribution. A more valid methodology is directly asseessing how the attributor perceive or interpret the cause he has attributed.
Finally, researchers must systematically examine theoretical properties of causal attribution and causal dimension, and validate measures to assess these constructs.