The Positive and Negative Affect Schedule (PANAS) is a widely used measure of emotional experience. The factor structure of the PANAS has been predominantly examined with cross-sectional designs, which fails to disaggregate within-person variation from between-person differences. There is still uncertainty as to the factor structure of positive and negative affect and whether they constitute two distinct independent factors. The present study examined the within-person and between-person factor structure of the PANAS in two independent samples that reported daily affect over 7 and 14 occasions, respectively. Results from multilevel confirmatory factor analyses revealed that a two factor structure at both the within- and between-person level, with correlated specific factors for overlapping items, provided good model fit. The best-fitting solution was one where within-person factors of positive and negative affect were inversely correlated, but between-person factors were independent. The structure was further validated through multilevel structural equation modeling examining the effects of cognitive interference, daily stress, physical symptoms, and physical activity on positive and negative affect factors.

Past research reveals preferences for disparaging humor directed toward disliked others. The group-dominance model of humor appreciation introduces the hypothesis that beyond initial outgroup attitudes, social dominance motives predict favorable reactions toward jokes targeting low-status outgroups through a subtle hierarchy-enhancing legitimizing myth: cavalier humor beliefs (CHB). CHB characterizes a lighthearted, less serious, uncritical, and nonchalant approach toward humor that dismisses potential harm to others. As expected, CHB incorporates both positive (affiliative) and negative (aggressive) humor functions that together mask biases, correlating positively with prejudices and prejudice-correlates (including social dominance orientation [SDO]; Study 1). Across 3 studies in Canada, SDO and CHB predicted favorable reactions toward jokes disparaging Mexicans (low-status outgroup). Neither individual difference predicted neutral (nonintergroup) joke reactions, despite the jokes being equally amusing and more inoffensive overall. In Study 2, joke content targeting Mexicans, Americans (high-status outgroup), and Canadians (high-status ingroup) was systematically controlled. Although Canadians preferred jokes labeled as anti-American overall, an underlying subtle pattern emerged at the individual-difference level: Only those higher in SDO appreciated those jokes labeled as anti-Mexican (reflecting social dominance motives). In all studies, SDO predicted favorable reactions toward low-status outgroup jokes almost entirely through heightened CHB, a subtle yet potent legitimatizing myth that "justifies" expressions of group dominance motives. In Study 3, a pretest-posttest design revealed the implications of this justification process: CHB contributes to trivializing outgroup jokes as inoffensive (harmless), subsequently contributing to postjoke prejudice. The implications for humor in intergroup contexts are considered.

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Background: The investigation of multimorbidity and aging is complex and highly intertwined with aging-related changes in physical and cognitive capabilities, and mental health and is known to affect psychological distress and quality of life. Under these circumstances it is important to understand how the effects of chronic conditions evolve over time relative to aging-related and end-of-life changes. The identification of periods in time where multimorbidity impacts particular outcomes such as depressive symptoms, versus periods of time where this is not the case, reduces the complexity of the phenomenon. Objective: We present the Johnson-Neyman (J-N) technique in the context of a curvilinear longitudinal model with higher-order terms to probe moderators and to identify regions of statistical significance. In essence, the J-N technique allows one to identify conditions under which moderators impact an outcome from conditions where these effects are not significant. Methods: To illustrate the use of the J-N technique in a longitudinal sample, we used data from the Health and Retirement Study. Analyses were based on time-to-death models including participants who died within the study duration of 12 years. Results: Multimorbidity differentially affects rates of change in depression. For some periods in time the effects are statistically significant while in other periods the same effects are not statistically different from zero. Conclusion: The J-N technique is useful to continuously probe moderating effects and to identify particular interactions with the model for time when certain effects are or are not statistically significant. In the context of multimorbidity this method is particularly useful for interpreting the complex interactions with differential change over time.

Personality change, specifically an increase in neuroticism, may be an early indicator of dementia. Identification of early indicators of dementia may facilitate development of screening assessments and aid in early care strategies and planning.