Predictive Effectiveness of Mood Measures
The present study compared the predictive effectiveness of mood states and the Positive and Negative Affect Schedule models of mood. 38 junior high school students completed the Brunel University Mood Scale to assess anger, confusion, depression, fatigue, tension, and vigor and the PANAS 5 min. before a fitness test. Performance was self-referenced by comparing fitness test scores with a previous best score assessed four weeks earlier. Participants who equaled or bettered their previous best score were classified as Successful. Those who did not match their previous score were classified as Unsuccessful. Discriminant function analysis indicated that 31 participants (81.6%) could be correctly classified as Successful or Unsuccessful based on preperformance Brunel Mood scores. Discriminant function coefficients indicated that Confusion, Fatigue, and Vigor contributed significantly to the discrimination. For the Positive and Negative Affect Schedule, discriminant function analysis indicated that 26 participants (68.4%) could be correctly classified as Successful or Unsuccessful, with Negative Affect and Positive Affect contributing significantly to the discrimination. Summarizing negative mood into a single factor may lead to a substantial loss of information. Research on mood and performance relationships should use the mood dimensions assessed in the Brunel University Mood Scale rather than the Positive and Negative Affect Schedule.