PLACING PREMENSTRUAL SYNDROME IN PERSPECTIVE

In a longitudinal prospective study, mood fluctuations were assessed for evidence of premenstrual syndrome (PMS) as well as other menstrual, day of week, and lunar cyclicity. Volunteer participants from the community (60 women and 10 men) provided daily data for 12 to 18 weeks. Significant mood fluctuation was determined by a new nonparametric method using each individual's own standard deviation as a measure of "marked" change. Cyclicity was the norm; two thirds of both the women and men had one or more menstrual or lunar phases or days of the week that were markedly positive and/or negative, relative to their own range, but few experienced stereotypical cyclicity (PMS, Monday blues, full moon). About half the women whose prospective data met conservative criteria for PMS, met liberal criteria, or met neither criteria said they had PMS, and half in each group said they did not.     

Preliminary evidence on the use of telehealth in an outpatient behavior clinic

Previous studies have shown that telehealth can be an effective way to deliver behavior‐analytic services. In this study, we provided a demonstration of the use of telehealth to assess and initiate treatment of problem behavior in an outpatient clinic. We coached parents of children with autism via telehealth to conduct functional analyses during 1 appointment that lasted 1 hr and subsequently coached them as they implemented functional communication training during 3 subsequent appointments (15 min each). Social functions were identified for most children, and problem behavior was reduced by an average of 65.1%.     

Creativity in the Age of Technology: Measuring the Digital Creativity of Millennials

Digital technology and its many uses form an emerging domain of creative expression for adolescents and young adults. To date, measures of self-reported creative behavior cover more traditional forms of creativity, including visual art, music, or writing, but do not include creativity in the digital domain. This article introduces a new measure, the Creative Behavior Questionnaire: Digital (CBQD), which assesses self-reported creative behavior in the digital domain. High school students (N = 230) completed the CBQD, as well as several other measures of creativity and personality. Factor analysis revealed 3 factors: digital creativity achievement, school-based everyday creativity, and self-expressive digital creativity. Factor-based scales showed expected correlations with other creativity measures, as well as Big-Five personality traits and Unconventionality, supporting construct validity. Results indicate that the CBQD can be used as an independent or a supplemental measure of creative behavior.     

Precocious quantitative cognition in monkeys

Basic quantitative abilities are thought to have an innate basis in humans partly because the ability to discriminate quantities emerges early in child development. If humans and nonhuman primates share this developmentally primitive foundation of quantitative reasoning, then this ability should be present early in development across species and should emerge earlier in monkeys than in humans because monkeys mature faster than humans. We report that monkeys spontaneously make accurate quantity choices by 1 year of age in a task that human children begin to perform only at 2.5 to 3 years of age. Additionally, we report that the quantitative sensitivity of infant monkeys is equal to that of the adult animals in their group and that rates of learning do not differ between infant and adult animals. This novel evidence of precocious quantitative reasoning in infant monkeys suggests that human quantitative reasoning shares its early developing foundation with other primates. The data further suggest that early developing components of primate quantitative reasoning are constrained by maturational factors related to genetic development as opposed to learning experience alone.     

Dyadic Examination of the Influence of Family Relationships on Life Satisfaction at the Empty-Nest Stage

The aim of this study on determinants of life satisfaction in adulthood was to test actor–partner interdependence models among couples in the phase of the family life cycle following the departure of their children from the parental home. Using structural equation modeling, measures of family relationships, such as a person’s own and his/her partner’s marital adjustment, the amount of contact with children (and grandchildren, if applicable), and being a grandparent or not, served as independent variables to predict each partner’s satisfaction with life. A sample comprising 102 couples (of which 58 couples had grandchildren), all at the empty-nest stage, participated in the study. Results revealed that, for both husbands and wives, the effects of their own marital adjustment and the amount of contact with their adult children on their satisfaction with life were significant. A partner effect was also confirmed between wives’ marital adjustment and their husbands’ satisfaction with life. Furthermore, although being a grandparent did not predict higher life satisfaction for the whole sample of couples, the path between the amount of contact with grandchildren and life satisfaction was significant for the subsample of women who were grandmothers. Results are discussed in terms of the needs filled by these family relationships.     

The Heterogeneity of Truancy among Urban Middle School Students: A Latent Class Growth Analysis

This longitudinal study explores heterogeneity of middle school students by identifying subgroups of youth characterized by distinct truancy trajectories and by determining disability profiles that distinguish these subgroups. Participants comprised an entire 7th through 9th grade student population, with approximately 58,000 students, in a large urban school district. Latent class growth analysis was used to identify subgroups of truant youth. This analysis yielded five distinct truant subgroups: Very-Low (37 %), Low (43.4 %), Declining (3.3 %), Rising (12.8 %), and Chronic (3.6 %). Further, differential disability profiles were found in each subgroup with the control of demographic characteristics (i.e., gender, race/ethnicity, free/reduced lunch, Limited English Proficiency, grade, and prior school absences), students with serious emotional disturbance and learning disabilities demonstrated amplified risks of being classified in the Chronic or Rising subgroups, which show chronic or incremental upward truant trajectories over time. These findings are discussed in terms of their implications for future research.