Feeling bad is one thing, judging something to be bad another. This hot/cold distinction helps resolve the debate between bipolar and bivariate accounts of affect. A typical affective reaction includes both core affect and judgments of the affective qualities of various aspects of the stimulus situation. Core affect is described by a bipolar valence dimension in which feeling good precludes simultaneously feeling bad and vice versa. Judgments of affective quality of opposite valence can occur simultaneously because the stimulus situation has (...) many aspects. Affective reaction can also include an emotional meta-experience, which can, but rarely does, embrace simultaneous emotion categories of opposite valence. (shrink)

We conducted an integrative data analysis to examine the hedonic character of nostalgia. We combined positive and negative affect measures from 41 experiments manipulating nostalgia. Overall, nostalgia inductions increased positive and ambivalent affect, but did not significantly alter negative affect. The magnitude of nostalgia’s effects varied markedly across different experimental inductions of the emotion. The hedonic character of nostalgia, then, depends on how the emotion is elicited and the benchmark to which it is compared. We discuss implications for theory and (...) research on nostalgia and emotions in general. (shrink)

Theories of the structure of affect make competing predictions about whether people can feel happy and sad at the same time. Considerable evidence that happiness and sadness can co-occur has accumulated in the past 15 years, but holes in the case remain. I describe those holes and suggest strategies for testing them in future research. I also explore the possibility that the case may never be closed, in part because the competing hypotheses may not be entirely falsifiable. Fortunately, hypotheses need (...) not be falsifiable to be useful. Research on mixed emotions has been generative and the body of research will continue to shed light on the structure of affect. (shrink)