A naturalistic study of the word frequency effect in episodic recognition

In order to separate the effects of experience from other characteristics of word frequency (e.g., orthographic distinctiveness), computer science and psychology students rated their experience with computer science technical items and nontechnical items from a wide range of word frequencies prior to being tested for recognition memory of the rated items. For nontechnical items, there was a curvilinear relationship between recognition accuracy and word frequency for both groups of students. The usual superiority of low-frequency words was demonstrated and high-frequency words were recognized least well. For technical items, a similar curvilinear relationship was evident for the psychology students, but for the computer science students, recognition accuracy was inversely related to word frequency. The ratings data showed that subjective experience rather than background word frequency was the better predictor of recognition accuracy.     

Socially Desirable Responding in Computerized Questionnaires: When Questionnaire Purpose Matters More Than the Mode1

The impact of questionnaire purpose (job screening interview vs. consumer survey) and the impact of questionnaire mode (paper-and-pencil vs. computer) on multiple measures of socially desirable responding (SDR) were examined. Students (N= 85) participated in experimental job screening (high SDR demand) and consumer survey (low SDR demand) conditions. Dependent measures included the Marlowe-Crowne Social Desirability Scale and the impression management subscale of the Balanced Inventory of Desirable Responding, Version 6. Significant questionnaire purpose effects suggest one possible, context-related explanation for mixed SDR findings between earlier experiments. Mode effects were nonsignificant, adding further evidence of paper-and-pencil and computer equivalence with respect to SDR.     

Changing Me,Changing Us: Relationship Quality and Collective Efficacy as Major Outcomes in Systemic Couple Therapy

We examine the sensitivity to change in the Evaluation of Social Systems (EVOS) scale, which assesses relationship quality and collective efficacy. In Study 1 we conducted a waitlist‐control, short‐term couple therapy RCT study (N = 43 couples) with five systemic therapy sessions treating communication and partnership problems; our intent was to provide high external validity. Construct validity of EVOS was assessed by comparison with additionally applied scales (Family Scales; Outcome Questionnaire, OQ‐45.2). In Study 2, N = 332 individuals completed an experiment with high internal validity in order to verify sensitivity to change in three different social contexts. Results from Study 1 revealed a significant increase in relationship quality in the treatment group directly after treatment, as compared to the control group. Sensitivity to change was slightly better for EVOS than for other measures. While this positive change could not be fully sustained between posttreatment and a 4‐week follow‐up, EVOS score did not fall below baseline and pretreatment levels, supporting moderate‐to‐large sensitivity to change. Study 2 supported high sensitivity to change in EVOS for couple relations, family relations, and work‐team relationships. Therefore, EVOS can be used as an outcome measure to monitor the process of systemic interventions focusing on relationship quality and collective efficacy. Due to its sensitivity to change, EVOS can provide evidence for treatment success with regard to relationship aspects.     

Bayesian active probabilistic classification for psychometric field estimation

Psychometric functions are typically estimated by fitting a parametric model to categorical subject responses. Procedures to estimate unidimensional psychometric functions (i.e., psychometric curves) have been subjected to the most research, with modern adaptive methods capable of quickly obtaining accurate estimates. These capabilities have been extended to some multidimensional psychometric functions (i.e., psychometric fields) that are easily parameterizable, but flexible procedures for general psychometric field estimation are lacking. This study introduces a nonparametric Bayesian psychometric field estimator operating on subject queries sequentially selected to improve the estimate in some targeted way. This estimator implements probabilistic classification using Gaussian processes trained by active learning. The accuracy and efficiency of two different actively sampled estimators were compared to two non-actively sampled estimators for simulations of one of the simplest psychometric fields in common use: the pure-tone audiogram. The actively sampled methods achieved estimate accuracy equivalent to the non-actively sampled methods with fewer observations. This trend held for a variety of audiogram phenotypes representative of the range of human auditory perception. Gaussian process classification is a general estimation procedure capable of extending to multiple input variables and response classes. Its success with a two-dimensional psychometric field informed by binary subject responses holds great promise for extension to complex perceptual models currently inaccessible to practical estimation.

     

Should I stay or should I go?: Penalties for briefly de-prioritizing work or childcare

We examined penalties against individuals who temporarily de-prioritize their employee or parenting role. Experiment 1 (N = 488) utilized vignettes depicting a mother/father who briefly left their child with a babysitter to engage in work/self-care/did not leave (control). Both mothers and fathers were viewed as less parentally competent, likeable, dedicated to their family (and putting their child at greater risk) when they very briefly de-prioritized their caregiving role by leaving their child for either reason, relative to controls. Experiment 2 (N = 494) utilized vignettes depicting a female/male employee who briefly left work to engage in childcare/self-care/did not leave (control). Both male and female employees were rated as less professionally competent, likeable, dedicated to their work and deserving of organizational rewards (and more deserving of organizational penalties, and putting their organization at greater risk) when they very briefly de-prioritized their employee role by leaving work for either reason, compared to controls. However, employees who left for self-care were viewed more negatively than those who left to engage in childcare. Unexpectedly, results did not reveal target gender differences; they were also largely unaffected by participant gender. This suggests that parents and employees face penalties when they must de-prioritize either of these important roles for even very short periods. Implications for well-being, work-life balance, and productivity are discussed.     

Recall is not necessary for verbal sequence learning

The question of whether overt recall of to-be-remembered material accelerates learning is important in a wide range of real-world learning settings. In the case of verbal sequence learning, previous research has proposed that recall either is necessary for verbal sequence learning (Cohen & Johansson Journal of Verbal Learning and Verbal Behavior, 6, 139–143, 1967; Cunningham, Healy, & Williams Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 575–597, 1984), or at least contributes significantly to it (Glass, Krejci, & Goldman Journal of Memory and Language, 28, 189–199, 1989; Oberauer & Meyer Memory, 17, 774–781, 2009). In contrast, here we show that the amount of previous spoken recall does not predict learning and is not necessary for it. We suggest that previous research may have underestimated participants’ learning by using suboptimal performance measures, or by using manual or written recall. However, we show that the amount of spoken recall predicted how much interference from other to-be-remembered sequences would be observed. In fact, spoken recall mediated most of the error learning observed in the task. Our data support the view that the learning of overlapping auditory–verbal sequences is driven by learning the phonological representations and not the articulatory motor responses. However, spoken recall seems to reinforce already learned representations, whether they are correct or incorrect, thus contributing to a participant identifying a specific stimulus as either “learned” or “new” during the presentation phase.     

Social Network Characteristics,Social Support,and Cigarette Smoking among Asian/Pacific Islander Young Adults

Cigarette smoking may be one of the factors contributing to the high levels of cancer‐related mortality experienced by certain Asian/Pacific Islander (A/PI) subgroups (e.g., Native Hawaiian). Given the collectivist cultural orientation attributed to A/PI groups, social strategies are recommended for substance abuse or smoking cessation treatment among A/PI. However, research examining how social network characteristics and social support relate to smoking across A/PI subgroups has been lacking. This study investigated the associations between social network characteristics (e.g., size, composition), perceived social support, and recent cigarette use across Native Hawaiian, Filipino, and East Asian (e.g., Japanese, Chinese) young adults (18–35 year old). Cross‐sectional, self‐report data were collected from N = 435 participants (M age = 25.6, SD = 8.3; 61% women). Ethnic differences were found in a number of pathways linking social network characteristics, perceived social support, and cigarette smoking. Larger network size was strongly associated with higher perceived social support and lower recent cigarette smoking among Native Hawaiians but not Filipinos or East Asians. Higher perceived social support was associated with lower recent smoking among East Asians and Filipinos but not Native Hawaiians. Implications are discussed with regard to smoking prevention and cessation among A/PI.     

Social Cognition in Multiple Sclerosis: a Meta-Analysis

Multiple sclerosis (MS) is associated with cognitive decline and impairment in social functioning. Accumulating evidence suggests that patients with MS are impaired in social cognition, including theory of mind (ToM) and emotion recognition. In this meta-analysis of 24 studies, facial emotion recognition and ToM performances of 989 patients with MS and 836 healthy controls were compared. MS was associated with significant impairments with medium effect sizes in ToM (d?=?0.57) and facial emotion recognition (d?=?0.61). Among individual emotions recognition of fear and anger were particularly impaired. The severity of social cognitive deficits was significantly associated with non-social cognitive impairment. These deficits in social cognition may underpin difficulties in social functioning in MS. However, there is a need for further studies investigating the longitudinal evolution of social cognitive deficits and their neural correlates in MS.     

Dopamine,depressive symptoms,and decision-making: the relationship between spontaneous eye blink rate and depressive symptoms predicts Iowa Gambling Task performance

Depressive symptomatology has been associated with alterations in decision-making, although conclusions have been mixed, with depressed individuals showing impairments in some contexts but advantages in others. The dopaminergic system may link depressive symptoms with decision-making performance. We assessed the role of striatal dopamine D₂ receptor density, using spontaneous eye blink rates, in moderating the relationship between depressive symptoms and decision-making performance in a large undergraduate sample that had not been screened for mental illness (N?=?104). The regression results revealed that eye blink rate moderated the relationship between depressive symptoms and advantageous decisions on the Iowa Gambling Task, in which individuals with more depressive symptomatology and high blink rates (higher striatal dopamine D₂ receptor density) performed better on the task. Our computational modeling results demonstrated that depressive symptoms alone were associated with enhanced loss-aversive behavior, whereas individuals with high blink rates and elevated depressive symptoms tended to persevere in selecting options that led to net gains (avoiding options with net losses). These findings suggest that variation in striatal dopamine D₂ receptor availability in individuals with depressive symptoms may contribute to differences in decision-making behavior.