Probabilistically Valid Inference of Covariation From a Single x,y Observation When Univariate Characteristics Are Known

Participants were asked to draw inferences about correlation from single x,y observations. In Experiment 1 statistically sophisticated participants were given the univariate characteristics of distributions of x and y and asked to infer whether a single x, y observation came from a correlated or an uncorrelated population. In Experiment 2, students with a variety of statistical backgrounds assigned posterior probabilities to five possible populations based on single x, y observations, again given knowledge of the univariate statistics. In Experiment 3, statistically naïve participants were given a problem analogous to that given in Experiment 1, framed verbally. Experiment 4 replicated Experiment 3 but added an "impossible to determine" response option. Models that rely on computing sample correlations make no predictions about these investigations. From a Bayesian perspective, participants' inferences in all four experiments tended to make probabilistically valid inferences as long as the single datum was directional. The results are discussed in light of the Brunswikian notion of vicarious functioning.     

Expanding the Affective and Normative Components of the Theory of Planned Behavior: A Meta‐Analysis of Anticipated Affect and Moral Norms

Meta‐analysis was used to determine the predictive validity of anticipated affect and moral norms in the theory of planned behavior (TPB; Ajzen, 1991 ). Medium‐to‐large sample‐weighted average correlations were obtained. Anticipated affect and moral norms increased the variance explained in intentions by 5% and 3%, respectively, controlling for TPB variables. Intention mediated the influence of both variables on behavior. Moderator analyses showed that younger samples and behaviors with a moral dimension were associated with stronger moral‐norm/intention relations, and anticipated regret was associated with a stronger anticipated‐affect/intention relation. The implications of the findings for the TPB are discussed.     

Incremental and predictive utility of formative assessment methods of reading comprehension

Formative assessment measures are commonly used in schools to assess reading and to design instruction accordingly. The purpose of this research was to investigate the incremental and concurrent validity of formative assessment measures of reading comprehension. It was hypothesized that formative measures of reading comprehension would contribute more to our understanding of students' overall reading abilities than simply oral reading fluency (ORF). It was also hypothesized that measures could be modeled in a meaningful way to explain student performance on criterion measures of academic competence. Four formative measures of reading comprehension – maze (MZ), retell fluency (RTF), written retell (WRT), and sentence verification technique (SVT) – were used to measure unique aspects of reading comprehension through production-type responses. Results suggested that reading comprehension measures, when combined with ORF, added to the total variance associated with reading ability and were reliable indicators of student performance on a high stakes criterion-referenced assessment of grade-level literacy.     

An exploratory field experiment of the effect of subconscious and conscious goals on employee performance

The effect of both a primed and a conscious goal on performance in the workplace was investigated. The primed goal was pilot tested. People on their way to work (n = 52) shown a photo of a woman winning a race performed better on a brainstorming task within a 2-min time period than people in the control group. A laboratory experiment (n = 71) revealed that this primed goal significantly increased the participants’ subconscious need for achievement, as measured by a projective test, relative to those in the control group. A 2 (primed goal vs. control group) × 2 (conscious goal vs. do best goal) factorial design involving call center employees (n = 81) revealed a main effect for this primed goal, as well as a main effect for a conscious goal for money solicited from donors.     

Factors of the psychopathic personality inventory: criterion-related validity and relationship to the BIS/BAS and five-factor models of personality

Psychopathy is a personality disorder that includes interpersonal-affective and antisocial deviance features. The Psychopathic Personality Inventory (PPI) contains two underlying factors (fearless dominance and impulsive antisociality) that may differentially tap these two sets of features. In a mixed-gender sample of undergraduates and prisoners, we found that PPI fearless dominance was related to low Behavioral Inhibition System activity, high Behavioral Activation System (BAS) activity, expert prototype psychopathy scores, and primary psychopathy. Impulsive antisociality was related to high BAS activity and all psychopathy measures. High Extraversion and Openness and low Neuroticism and Agreeableness predicted fearless dominance, whereas high Neuroticism and low Agreeableness and Conscientiousness predicted impulsive antisociality. Although low levels of Agreeableness predicted both PPI factors, their differential relations with other five-factor model traits highlight differences in the way psychopathy manifests itself. Consistent with movements toward assessing personality disorder using the five-factor model, the authors report regression-based equations for the clinical assessment of these psychopathy dimensions using the NEO Personality Inventory-Revised (NEO-PI-R).     

Detecting changes in simulated events II: Using variations of momentary time‐sampling to measure changes in duration events

The extent to which a greater proportion of small behavior changes could be detected with momentary time‐sampling (MTS) was evaluated by (a) combining various interval sizes of partial‐interval recording (PIR) with 20 s, 30 s, 1 min MTS and (b) using variable interval sizes of MTS that were based on means of 20 s and 1 min. For each targeted percentage, low, moderate, and high inter‐response times (IRTs) to event‐run ratios were compared with reversal designs to determine whether sensitivity increased with either variation of MTS. The results showed that (a) combinations of 30 s and 1 min MTS/PIR yielded increased sensitivity over MTS alone; however, the increased sensitivity was offset by an increased probability of generating false positives and (b) variable‐interval MTS produced comparable sensitivity to fixed‐interval MTS. Thus, none of the methods increased detection of small behavior changes (decreased false negatives) without also increasing false positives. Copyright © 2009 John Wiley & Sons, Ltd.     

At 11 months,prosody still outranks statistics

English‐learning 7.5‐month‐olds are heavily biased to perceive stressed syllables as word onsets. By 11 months, however, infants begin segmenting non‐initially stressed words from speech. Using the same artificial language methodology as Johnson and Jusczyk (2001 ), we explored the possibility that the emergence of this ability is linked to a decreased reliance on prosodic cues to word boundaries accompanied by an increased reliance on syllable distribution cues. In a baseline study, where only statistical cues to word boundaries were present, infants exhibited a familiarity preference for statistical words. When conflicting stress cues were added to the speech stream, infants exhibited a familiarity preference for stress as opposed to statistical words. This was interpreted as evidence that 11‐month‐olds weight stress cues to word boundaries more heavily than statistical cues. Experiment 2 further investigated these results with a language containing convergent cues to word boundaries. The results of Experiment 2 were not conclusive. A third experiment using new stimuli and a different experimental design supported the conclusion that 11‐month‐olds rely more heavily on prosodic than statistical cues to word boundaries. We conclude that the emergence of the ability to segment non‐initially stressed words from speech is not likely to be tied to an increased reliance on syllable distribution cues relative to stress cues, but instead may emerge due to an increased reliance on and integration of a broad array of segmentation cues.     

Negotiating the Double Bind: Interpersonal and Instrumental Evaluations of Dominance

The double bind of dominance—that it can help to attain status but might jeopardize social relationships—was investigated by examining evaluations based on interpersonal skill (e.g., getting along well with others) and instrumental skill (e.g., accomplishing a task). Role congruity theory (Eagly and Diekman 2005; Eagly and Karau 2002) posits that behavior will be evaluated more positively when it is congruent with valued social roles. Two experiments were conducted to explore the importance of context in evaluations of dominance. In both experiments, dominance was more devalued in contexts related to interpersonal skill than in those related to instrumental skill. Experiment 1 demonstrated that the penalty for dominant behavior decreased when the target also displayed warmth, thereby affirming diffuse prosocial roles. Experiment 2 demonstrated that dominant behavior incurred greater penalties in communal versus agentic occupations. The results support a contextual, role-based explanation of evaluative processes.     

Metacomprehension: A Brief History and How to Improve Its Accuracy

ABSTRACT— People's judgments about how well they have learned and comprehended text materials can be important for effectively regulating learning, but only if those judgments are accurate. Over two decades of research examining judgments of text learning—or metacomprehension —has consistently demonstrated that people's judgment accuracy is quite poor. We review recent research that has shown some success in improving judgment accuracy and then argue that the most common method used to investigate metacomprehension accuracy may inadvertently constrain it. We describe a new method that sidesteps some problems of the older method and present evidence showing how people can achieve high levels of metacomprehension accuracy.     

Dimensions and Categories Underlying Thinking About College Student Types1

Previous work on implicit personality theory and the college student culture suggests that thinking about college student types should include academic involvement and social involvement dimensions. Further, positive and negative social, positive academic, and oppositional clusters of types were predicted based on studies of high school crowds. Using 85 college student type labels as stimuli, a free‐sorting method coupled with multidimensional scaling and hierarchical clustering analyses provided support for these hypotheses. Also, the results suggest convergence in the cognitive structure underlying perception of college student types across major demographic categories.