The Political Activity of Evangelical Clergy in the Election of 2000: A Case Study of Five Denominations

This article focuses on the political participation of ministers from five evangelical Protestant denominations that differ in theology, polity, and history. Despite such differences, these clergy respond to political influences in much the same fashion. We find that the standard theories of political participation have varying success in accounting for their political involvement. Sociodemographic explanations provide little help, but psychological engagement with politics has more explanatory power. Professional role orientations are the best predictors of actual participation. And the clergy who see moral reform issues as the most important confronting the country—and who hold conservative views on such issues—are most likely to become engaged. Finally, membership in Christian Right organizations serves to elicit more activity than might occur if ministers were left to internally motivated participation. Despite the emphasis on other contextual variables in some work on clerical politics, we find that communications exposures, congregational influences, and even the support of clerical colleagues have very limited independent effects on political involvement.     

The effect of early visual deprivation on the development of face processing

We evaluated the importance of early visual input for the later development of expertise in face processing by studying 17 patients, aged 10 to 38 years, treated for bilateral congenital cataracts that deprived them of patterned visual input for the first 7 weeks or more after birth. We administered five computerized tasks that required matching faces on the basis of identity (with changed facial expression or head orientation), facial expression, gaze direction and lip reading. Compared to an age–matched control group, patients’ recognition of facial identity was impaired significantly when there was a change in head orientation (e.g. from frontal to tilted up), and tended to be impaired when there was a change in facial expression (e.g. from happy to surprised). Patients performed normally when matching facial expression and direction of gaze (e.g. looking left or right), and in reading lips (e.g. pronouncing ‘u’ or ‘a’). The results indicate that visual input during early infancy is necessary for the normal development of some aspects of face processing, and are consistent with theories postulating the importance of early visual experience (de Schonen & Mathivet, 1989; Johnson & Morton, 1991) and separate neural mediation of different components of face processing (Bruce & Young, 1986).     

I know how you feel: Task-irrelevant facial expressions are spontaneously processed at a semantic level

Previous studies have demonstrated that emotions are automatically processed. Even with subliminal presentations, subjects involuntarily mimic specific facial expressions, are influenced by the valence of a preceding emotion during judgments, and exhibit slowed responses to personally meaningful emotions; these effects are due to reflexive mimicry, unconscious carryover of valence, and attentional capture, respectively. However, perception-action effects indicate that rapid processing should involve deep, semantic-level representations of emotion (e.g., “fear”), even in the absence of a clinical emotion disorder. To test this hypothesis, we developed an emotional Stroop task (Emostroop) in which subjects responded nonverbally to emotion words superimposed over task-irrelevant images of faces displaying congruent or incongruent emotional expressions. Subjects reliably responded more slowly to incongruent than to congruent stimuli, and this interference was related to trait measures of emotionality. Rapid processing of facial emotions spontaneously activates semantic, content-rich representations at the level of the specific emotion.     

Testing the measurement equivalence of personality adjective items across cultures

Although previous research has examined cross-cultural differences in personality, many of these studies neglected to first establish that the measures being used were equivalent in meaning across cultures. Using samples of Chinese, Greek, and American respondents, the measurement equivalence of the Big Five Mini-Markers [Saucier, G. (1994). Mini-markers: A brief version of Goldberg’s unipolar Big-Five markers. Journal of Personality assessment, 63, 506–516] was assessed using confirmatory factor analysis. The results indicate that all of the scales demonstrate configural invariance, but fail to show metric or scalar invariance. Several adjectives from these scales were found to exhibit bias at the item-level. The practical implications of these results are discussed and future research is suggested.     

Screening for motor coordination challenges in children using teacher ratings of physical ability and activity

We examined the effectiveness of a teacher-based rating scale called the teacher estimation of activity form (TEAF) to screen for developmental coordination disorder (DCD) in children. A random selection of 15 of 75 schools from the District School Board of Niagara in Ontario, Canada was chosen for this study. Every consented child in Grade 4 (n=502) was evaluated for probable DCD (pDCD) in school using the short form Bruininks-Oseretsky test of motor proficiency (BOTMP-SF). Each student also completed the children's self perceptions of adequacy in and predilection toward physical activity (CSAPPA) scale, participation questionnaire, and Léger 20-meter shuttle run, and had their height and weight measured. The 27 children (5.1%) who scored below the 5th percentile on BOTMP-SF were designated as pDCD cases and the 475 children who scored above the 5th percentile served as controls. Results showed that mean TEAF scores were significantly lower for pDCD children than controls (p<.001). Total TEAF scores ranging from 28 to 32 were preferred in maintaining good sensitivity (.74, 95% CI=.55-.87 to .85, 95% CI=.68-.94). The area under the ROC curve was .77 (95% CI, .68-.86) for the TEAF total score, and some individual items performed approximately as well as the full scale. The TEAF was positively correlated with measures of physical activity and fitness. The TEAF appears to be an effective tool in screening for DCD, particularly in a population setting. Considering the brevity of the TEAF and the discriminative power of individual items, this instrument would be effective in an abbreviated version.     

The effectiveness of function‐based interventions to treat sleep problems,including unwanted co‐sleeping,in children with autism

This study investigated the effectiveness of functional behavioral assessment (FBA)—informed interventions for sleep problems, particularly co‐sleeping, in children with autism spectrum disorder (ASD). Seven children, who exhibited multiple sleep problems including unwanted co‐sleeping, participated. FBA, based on information derived from interviews and parent‐recorded sleep diaries, was used to develop individualized case formulations upon which multicomponent, parent‐implemented interventions were based. These were evaluated using a single‐case, non‐concurrent multiple‐baseline‐across‐participants design. Improvements were observed across all sleep problems, including the elimination of co‐sleeping. Gains were maintained at follow‐up for five out of seven children, though two children did not complete intervention. Parents reported high levels of satisfaction with the program. FBA‐based interventions for sleep problems in children with ASD and their clinical implications are further discussed.     

Defining Treatment Outcomes in Pediatric Obsessive-Compulsive Disorder Using a Self-Report Scale

This study examined benchmarks of treatment response and clinical remission on the Obsessive Compulsive Inventory–Child Version (OCI-CV) for youth with obsessive-compulsive disorder (OCD). Participants were 91 youth who enrolled in a randomized controlled trial that examined the benefit of augmenting cognitive behavior therapy (CBT) with either d-cycloserine or placebo. Youth completed the OCI-CV at baseline, Week 4 (prior to initiating exposure therapy), and posttreatment. Receiver operator curve (ROC) analyses examined optimal benchmarks for treatment response and clinical remission as identified by independent evaluators at the posttreatment assessment using the Clinical Global Impression (CGI) scales of Improvement (CGI-Improvement), Severity (CGI-Severity), and Children’s Yale-Brown Obsessive Compulsive Scale (CY-BOCS). Optimal benchmarks for treatment response were a 20%–25% reduction in the OCI-CV total score. Meanwhile, optimal benchmarks for remission were a 55%–65% reduction in the OCI-CV total score and a posttreatment total score ≤ 6-8. OCI-CV benchmarks exhibited moderate agreement with the CY-BOCS for treatment response and clinical remission. Meanwhile, fair agreement was observed for response and remission with CGI scales. A lower pretreatment OCI-CV total score was associated with less agreement between classification approaches. Findings provide benchmarks for classifying treatment response and clinical remission in an efficient manner. Given the moderate agreement between the CY-BOCS and OCI-CV benchmarks, the OCI-CV may serve as a useful alternative when clinician-rated scales cannot be administered due to limited resources (e.g., time, training). Thus, evidence-based measurement can be incorporated to monitor therapeutic response and remission in clinical practice.     

Applying mixed‐effects modeling to single‐subject designs: An introduction

Behavior analysis and statistical inference have shared a conflicted relationship for over fifty years. However, a significant portion of this conflict is directed toward statistical tests (e.g., t‐tests, ANOVA) that aggregate group and/or temporal variability into means and standard deviations and as a result remove much of the data important to behavior analysts. Mixed‐effects modeling, a more recently developed statistical test, addresses many of the limitations of more basic tests by incorporating random effects. Random effects quantify individual subject variability without eliminating it from the model, hence producing a model that can predict both group and individual behavior. We present the results of a generalized linear mixed‐effects model applied to single‐subject data taken from Ackerlund Brandt, Dozier, Juanico, Laudont, & Mick, 2015, in which children chose from one of three reinforcers for completing a task. Results of the mixed‐effects modeling are consistent with visual analyses and importantly provide a statistical framework to predict individual behavior without requiring aggregation. We conclude by discussing the implications of these results and provide recommendations for further integration of mixed‐effects models in the analyses of single‐subject designs.     

Justice as a dependent variable: subordinate charisma as a predictor of interpersonal and informational justice perceptions

Research in the organizational justice literature has shown that interpersonal and informational justice are significant predictors of subordinate attitudes and behaviors. However, scholars have neglected to explore whether certain subordinate characteristics might be associated with managers' adherence to interpersonal and informational justice rules. The current authors' study tested a model, inspired by approach-avoidance perspectives (e.g., Gray, 1990), in which manager ratings of subordinate charisma influenced subordinate ratings of interpersonal and informational justice through the mechanisms of positive and negative sentiments (i.e., emotions felt by the manager toward the subordinate). A field study of 181 employees of a large national insurance company revealed partial support for this model. Structural equation modeling revealed that subordinate charisma was related to interpersonal justice perceptions, a relationship that was fully mediated by positive and negative sentiments. However, subordinate charisma was not associated with informational justice perceptions. These findings signal the potential utility in examining subordinate-based predictors of justice variables.     

Predicting the counterproductive employee in a child-to-adult prospective study

The present research tested the relations between a battery of background factors and counterproductive work behaviors in a 23-year longitudinal study of young adults (N = 930). Background information, such as diagnosed adolescent conduct disorder, criminal conviction records, intelligence, and personality traits, was assessed before participants entered the labor force. These background factors were combined with work conditions at age 26 to predict counterproductive work behaviors at age 26. The results showed that people diagnosed with childhood conduct disorder were more prone to commit counterproductive work behaviors in young adulthood and that these associations were partially mediated by personality traits measured at age 18. Contrary to expectations, criminal convictions that occurred prior to entering the workforce were unrelated to counterproductive work behaviors. Job conditions and personality traits had independent effects on counterproductive work behaviors, above and beyond background factors.