Regression-based techniques for statistical decision making in single-case designs

The present study evaluates the performance of four methods for estimating regression coefficients used to make statistical decisions about intervention effectiveness in single-case designs. Ordinary least square estimation is compared to two correction techniques dealing with general trend and a procedure that eliminates autocorrelation whenever it is present. Type I error rates and statistical power are studied for experimental conditions defined by the presence or absence of treatment effect (change in level or in slope), general trend, and serial dependence. The results show that empirical Type I error rates do not approach the nominal ones in the presence of autocorrelation or general trend when ordinary and generalized least squares are applied. The techniques controlling trend show lower false alarm rates, but prove to be insufficiently sensitive to existing treatment effects. Consequently, the use of the statistical significance of the regression coefficients for detecting treatment effects is not recommended for short data series.     

Agreement in interpersonal perception as a predictor of group performance

The present work deals with quantifying group characteristics. Specifically, dyadic measures of interpersonal perceptions were used to forecast group performance. Forty-six groups of students, 24 of four and 22 of five people, were studied in a real educational assignment context and marks were gathered as an indicator of group performance. Our results show that dyadic measures of interpersonal perceptions account for final marks. By means of linear regression analysis, 85% and 85.6% of group performance, respectively, was explained for group sizes equal to four and five. Results found in the scientific literature based on the individualistic approach are no larger than 18%. The results of the present study support the utility of dyadic approaches for predicting group performance in social contexts.     

Spanish drivers' beliefs about speed. Speeding is a major issue of road safety

Extending and updating our knowledge concerning drivers' motivational and cognitive processes is of essential importance if we are to apply policies with long-lasting effects. This study presents data from a representative national survey analyzing the Spanish drivers' beliefs about speed, the risks of speeding, the degree of violation of speed-limits and the reasons for speeding. Results indicate that Spanish drivers rate speeding as a serious offence, yet not among the most dangerous ones. All in all, they claim to comply mostly with the speed limits. However, some interesting violation patterns emerge: observance is lower for generic speed limits according to road type (vs. specific limits shown by certain road signs), and particularly in motorways (vs. single carriageways and urban areas). Risk perception and reasons for speeding emerge as the main factors predicting the levels of speed violations reported. Results suggest that any effective intervention strategy should consider such factors, namely the link between speed, road safety, and drivers' specific reasons for speeding.     

In hindsight, life flows from left to right

Three experiments investigated the mental representation of meaningful event sequences. Experiment 1 used extended (5 min long) naturalistic scenes excerpted from commercial movies. Experiments 2 and 3 presented everyday activities by means of sequences of six photographs. All experiments found both left–right and distance effects in an order decision task, suggesting that when contemplated in hindsight, experienced events unfold along a left-to-right analogical mental line. Present results are discussed in the context of the mental representation of other kinds of ordinal sequences, and other left–right effects reported in non-ordinal domains.     

An alternative to the search for single polymorphisms: toward molecular personality scales for the five-factor model

There is growing evidence that personality traits are affected by many genes, all of which have very small effects. As an alternative to the largely unsuccessful search for individual polymorphisms associated with personality traits, the authors identified large sets of potentially related single nucleotide polymorphisms (SNPs) and summed them to form molecular personality scales (MPSs) with from 4 to 2,497 SNPs. Scales were derived from two thirds of a large (N = 3,972) sample of individuals from Sardinia who completed the Revised NEO Personality Inventory (P. T. Costa, Jr., & R. R. McCrae, 1992) and were assessed in a genomewide association scan. When MPSs were correlated with the phenotype in the remaining one third of the sample, very small but significant associations were found for 4 of the 5e personality factors when the longest scales were examined. These data suggest that MPSs for Neuroticism, Openness to Experience, Agreeableness, and Conscientiousness (but not Extraversion) contain genetic information that can be refined in future studies, and the procedures described here should be applicable to other quantitative traits.     

Using empowerment theory in collaborative partnerships for community health and development

Models of community empowerment help us understand the process of gaining influence over conditions that matter to people who share neighborhoods, workplaces, experiences, or concerns. Such frameworks can help improve collaborative partnerships for community health and development. First, we outline an interactive model of community empowerment that describes reciprocal influences between personal or group factors and environmental factors in an empowerment process. Second, we describe an iterative framework for the process of empowerment in community partnerships that includes collaborative planning, community action, community change, capacity building, and outcomes, and adaptation, renewal, and institutionalization. Third, we outline activities that are used by community leadership and support organizations to facilitate the process of community empowerment. Fourth, we present case stories of collaborative partnerships for prevention of substance abuse among adolescents to illustrate selected enabling activities. We conclude with a discussion of the challenges and opportunities of facilitating empowerment with collaborative partnerships for community health and development. This work was supported by Kansas Health Foundation Grants 9206032B and 9206032A to support and evaluate community partnerships to prevent adolescent substance abuse. Thanks to Tom Wolff for sharing his wisdom about community coalitions so generously, and to Bill Berkowitz and anonymous reviewers for thoughtful comments on an earlier version of this manuscrpt. We also thank our colleagues from the Kansas Health Foundation, Mary K. Campuzano, Steve Coen, and Marni Vliet, and those from collaborating communities, who continue to teach us about ways to enhance community capacities to address local concerns.     

Influences of Early Career Experiences, Occupational Group, and National Culture on Proactive Career Behavior

We know little about the influences of individual, historical, and situational characteristics on young workers' proactive career behaviors. This study examined the effects of early career experiences, occupational group membership, and national culture on proactive career behaviors, including career planning, skill development, consultation, and networking. The study analyzed data from a longitudinal cross-national study on young workers from two occupational panels. The results confirmed the cultural dependence of proactive behaviors. Moreover, employment-related early career experiences showed a positive effect on proactive skill development and consultation behaviors. Periods of unemployment-inhibited proactive career planning and networking behaviors. Additional significant contributions to skill development and consultation behaviors were found to be associated with occupational group membership. Overall, a change in hierarchical position had a positive effect on proactive career behavior.     

Association Between Gait and Dual Task With Cognitive Domains in Older People With Cognitive Impairment

The authors investigated whether impaired gait and dual-task performances are associated with specific cognitive domains among older people with preserved cognition (PC), mild cognitive impairment (MCI), and mild Alzheimer's disease (AD). The sample comprised 40 older adults with PC, 40 with MCI, and 38 with mild AD. The assessment consisted of gait (measured by 10-m walk test and Timed Up and Go Test [TUGT]), dual task (measured by TUGT associated with a cognitive-motor task of calling a phone number), and cognition (domains of the Addenbrooke Cognitive Examination–Revised and Frontal Assessment Battery [FAB]). For data analysis, the Pearson product-moment correlation and the backward stepwise linear regression were conducted. Language, fluency, and visuospatial domains predicted the 10-m walk test measure specifically in PC, MCI, and AD groups. Only the visuospatial domain was independently associated with the TUGT measure in the MCI and AD groups. FAB score, language domain, and FAB score and fluency domain were the strongest predictors for the isolated cognitive-motor task measure in the PC, MCI, and AD groups, respectively. The visuospatial domain was independently associated with the dual-task test measure in all 3 groups. The study findings demonstrate the influence of specific cognitive domains in daily mobility tasks in people with different cognitive profiles.