Effectiveness of the Visual–Auditory Shadowing Method on Learning the Pronunciation of Kanji

This study investigates whether the visual–auditory (VA) shadowing method can better facilitate vocabulary learning for learners of Japanese as a second language (JSL) than the visual–visual (VV) shadowing method in K-8 immersion education. Learning vocabulary involves three aspects: meaning, orthography, and pronunciation. The Japanese language has complex orthography and pronunciation. Learners of Japanese need to learn three kinds of orthographic characters: ideographs (kanji) and two kinds of syllabic characters (hiragana and katakana). In addition, because the pronunciation of kanji can vary by context, learners must learn several pronunciations for a single kanji character. This study explores a reasonable way to learn pronunciations of kanji and compares VA shadowing (n = 48) and VV shadowing (n = 47) to investigate which condition better facilitates learning the pronunciation of Japanese ideographs. The analysis suggests that compared to the VV shadowing condition (p < .05), the VA shadowing condition is more effective for Level 3 learners but not for Level 2 or Level 1 learners.     

The Role of the Phonological Loop in English Word Learning: A Comparison of Chinese ESL Learners and Native Speakers

Although the role of the phonological loop in word-retention is well documented, research in Chinese character retention suggests the involvement of non-phonological encoding. This study investigated whether the extent to which the phonological loop contributes to learning and remembering visually introduced words varies between college-level Chinese ESL learners (N = 20) and native speakers of English (N = 20). The groups performed a paired associative learning task under two conditions (control versus articulatory suppression) with two word types (regularly spelled versus irregularly spelled words) differing in degree of phonological accessibility. The results demonstrated that both groups’ recall declined when the phonological loop was made less available (with irregularly spelled words and in the articulatory suppression condition), but the decline was greater for the native group. These results suggest that word learning entails phonological encoding uniformly across learners, but the contribution of phonology varies among learners with diverse linguistic backgrounds.     

Do Applicants and Incumbents Respond to Personality Items Similarly? A Comparison of Dominance and Ideal Point Response Models

This study used an ideal point response model to examine the extent to which applicants and incumbents differ when responding to personality items. It was hypothesized that applicants' responses would exhibit less folding at high trait levels than incumbents' responses. We used sample data from applicants (N=1,509) and incumbents (N=1,568) who completed the 16 Personality Questionnaire Select. Differential item (DIF) and test functioning (DTF) analyses were conducted using the generalized graded unfolding model, which is based on ideal point model assumptions. Out of the 90 items, 50 showed DIF; however, only 11 were in the hypothesized direction. DTF was significant for 3 of the 12 scales; 2 were in the hypothesized direction.     

Emotion as Substitute Response

This study confirmed an earlier finding that two strategies, termed formula and graphic, markedly affected the speed of learning a binary task, with the former being much the superior. Both “fast” and “slow” learners were able to utilize these strategies; however, “fast” learners were superior throughout, both in terms of number of trials to criterion and total amount of time taken to learn the tasks. Evidence also was obtained suggesting that the use of the more efficient (but also more demanding) strategy by “slow” learners had a certain cost associated with it. Overall, “slow” learners exhibited much more anxious and avoidant behavior than did “fast” learners. Post hoc data obtained on the Ss suggested slow binary task learners to be more field dependent than fast learners.     

Remapping the cognitive and neural profiles of children who struggle at school

Our understanding of learning difficulties largely comes from children with specific diagnoses or individuals selected from community/clinical samples according to strict inclusion criteria. Applying strict exclusionary criteria overemphasizes within group homogeneity and between group differences, and fails to capture comorbidity. Here, we identify cognitive profiles in a large heterogeneous sample of struggling learners, using unsupervised machine learning in the form of an artificial neural network. Children were referred to the Centre for Attention Learning and Memory (CALM) by health and education professionals, irrespective of diagnosis or comorbidity, for problems in attention, memory, language, or poor school progress (n = 530). Children completed a battery of cognitive and learning assessments, underwent a structural MRI scan, and their parents completed behavior questionnaires. Within the network we could identify four groups of children: (a) children with broad cognitive difficulties, and severe reading, spelling and maths problems; (b) children with age‐typical cognitive abilities and learning profiles; (c) children with working memory problems; and (d) children with phonological difficulties. Despite their contrasting cognitive profiles, the learning profiles for the latter two groups did not differ: both were around 1 SD below age‐expected levels on all learning measures. Importantly a child's cognitive profile was not predicted by diagnosis or referral reason. We also constructed whole‐brain structural connectomes for children from these four groupings (n = 184), alongside an additional group of typically developing children (n = 36), and identified distinct patterns of brain organization for each group. This study represents a novel move toward identifying data‐driven neurocognitive dimensions underlying learning‐related difficulties in a representative sample of poor learners.     

Clarifying the role of impulsivity in dietary restraint: A structural equation modeling approach

This study was designed to clarify the relationship between the four dimensions of impulsivity in Whiteside and Lynam’s (2001) model and the two aspects of dietary restraint (Concern for Dieting and Weight Fluctuation) in a non-clinical sample. Data were collected from a volunteer community sample (N = 216) of women who responded to two self-report instruments related to impulsivity (UPPS Impulsive Behavior Scale, Whiteside & Lynam, 2001) and dietary restraint (Restraint Scale, Polivy, Herman, & Warsh, 1978). A structural equation model was tested. The model provided a good fit to the data (χ²/df = 1.64, p < .0001, RMSEA = 0.054, 90% CI = 0.050–0.058, p-value for test of close fit (RMSEA > 0.05) = .035) and revealed that Concern for Dieting was positively related to Urgency (standardized β = 0.25, p < .01). Weight Fluctuation was related to lack of Perseverance (standardized β = 0.25, p < .01) and tended to relate to Sensation Seeking (standardized β = 0.17, p = .056). Urgency and lack of Perseverance were found to play a significant role in predicting Concern for Dieting and Weight Fluctuation.     

Predictors of improvement in an open-trial multisite evaluation of emotion regulation group therapy

Emotion regulation group therapy (ERGT) is a novel treatment specifically targeting deliberate non-suicidal self-harm (DSH) in individuals with borderline personality disorder (BPD). Identifying robust predictors of positive response to ERGT could aid clinicians in treatment selection; however, to date, only one such study has been conducted. Thus, we aimed to replicate previously identified predictors of treatment response to ERGT by investigating demographic, clinical, and diagnostic predictors in 95 women with BPD or subclinical BPD who had participated in an open-trial evaluation of ERGT. Outcomes evaluated were frequency of DSH and emotion dysregulation. Assessments were conducted at pretreatment, post-treatment, and 6-month follow-up. Multilevel mixed linear models and multilevel negative binomial generalized estimated equations were used to identify significant interactions between the predictors and outcomes.

We found that greater pretreatment DSH frequency was associated with greater improvements in DSH during treatment (b = 0.998, SE = 0.00, p = 0.03) and follow-up (b = 0.997, SE = 0.00, p < 0.01) and that greater BPD severity was associated with greater improvements in DSH during treatment (b = 0.84, SE = 0.06, p = 0.02) and in emotion dysregulation at follow-up (b = ?3.05, SE = 1.47, p = 0.04). Co-occurring disorders were associated with poorer treatment response during follow-up. Results were generally consistent with a previous study of the predictors of response to ERGT. The findings provide further support for the utility of this treatment across a range of BPD patients, including patients with severe DSH and BPD.     

Socioeconomic and sociocultural determinants of psychological distress and quality of life among patients with psoriasis in a selected multi-ethnic Malaysian population

Patients with psoriasis may have increased risk of psychological comorbidities. This cross-sectional study aimed at determining associations between sociocultural and socioeconomic factors with the Depression Anxiety Stress Scale (DASS) scores and the Dermatology Life Quality Index (DLQI) scores. Adult patients with psoriasis were recruited from a Dermatology outpatient clinic via convenience sampling. Interviews were conducted regarding socio-demographic factors and willing subjects were requested to complete the DASS and DLQI questionnaires. The Pearson χ² test, Fisher’s exact test and multivariate logistic regression were used for statistical analysis to determine independent predictors of depression, anxiety, stress and severe impairment of quality of life. Unadjusted analysis revealed that depression was associated with Indian ethnicity (p = .041) and severe impairment of quality of life was associated with Indian ethnicity (p = .032), higher education (p = .013), higher income (p = .042), and employment status (p = .014). Multivariate analysis revealed that Indian ethnicity was a predictor of depression (p = .024). For stress, tertiary level of education (p = .020) was an independent risk factor while a higher monthly income was a protective factor (p = .042). The ethnic Indians and Malays were significantly more likely than the ethnic Chinese to suffer reduced quality of life (p = .001 and p = .006 respectively) and subjects with tertiary education were more likely to have severe impairment of quality of life (p = .002). Our study was unique in determining sociocultural influences on psychological complications of psoriasis in a South East Asian population. This has provided invaluable insight into factors predictive of adverse effects of psoriasis on psychological distress and quality of life in our patient population. Future studies should devise interventions to specifically target at risk groups in the development of strategies to reduce morbidity associated with psoriasis.     

Successive and conditional discrimination learning in pigs

We studied the ability of pigs to discriminate tone cues using successive and conditional discrimination tasks. Pigs (n = 8) were trained in a successive discrimination Go/No-Go task (Experiment 1) to associate a Go-cue with a reward at the end of a runway and a No-Go-cue with the absence of reward. Latency to reach the goal-box was recorded for each cue-type. Learning of a conditional discrimination task was compared between low-birthweight (LBW, n = 5) and normal-birthweight (NBW, n = 6) pigs (Experiment 2) and between conventional farm (n = 7) and Göttingen miniature (n = 8) pigs (Experiment 3). In this active-choice task, one cue signalled a response in a right goal-box was correct and a second cue signalled a response in a left goal-box was correct. Cues were differentially rewarded. The number of sessions to learn the discrimination and number of correct choices per cue-type were recorded. In Experiment 1, four out of eight pigs showed learning on the task, that is, a higher latency to respond to the No-Go-cue, within 25 sessions. In Experiment 2, eight out of 11 pigs learned the discrimination within 46 sessions. LBW learners learned faster than NBW learners. In Experiment 3, all 15 pigs learned the task within 16 sessions. Göttingen miniature pigs learned faster than conventional farm pigs. While some methodological issues may improve the Go/No-Go design, it is suggested that an active-choice task yields clearer and more consistent results than one relying on latency alone.     

Literacy programs efficacy for developing children’s early reading skills in familiar language in Zambia

This study investigated the comparative efficacy of a phonics-based reading program and a language experience approach based literacy program to develop reading skills among Zambian early childhood school learners. The learners (n = 1 986; Grade 2 level; females = 50.1%) took either the phonics-based reading program (n = 1 593) or the alternative language experience approach based program (n = 393). They were all assessed for reading skills utilising the Early Grade Reading Assessment test (EGRA) in four languages (Cinyanja, Icibemba, Kiikaonde, and Silozi). Results suggest that learners in phonics-based literacy program were significantly better in letter-sound knowledge in all the four languages. Additionally, they were significantly better in reading skills (non-word reading, oral passage reading, and reading comprehension), yet only in Icibemba and Silozi, as compared to those who took the alternative program. Results reveal that children in the Primary Literacy Program (PLP) had significantly better performance in most reading skills than in the Primary Reading Program (PRP). However, the effect sizes were small or medium. The high floor effect in all reading-related measures is an indication that by following either PRP or the recently implemented PLP, most children do not acquire basic reading skill of the transparently written language they are familiar with. Instruction of the sounds of letters requires special attention where digital training tools (such as GraphoGame) may provide the most effective help to both teachers and children.     

The influence of T-shirt graphics on perceptions and behavioral intentions

Do graphics on clothing drive perceptions? We used a between group design to test if athletic, academic, or suggestive graphics on clothing differentially influence perceptions and behavioral intentions. In study 1, participants (N = 199) rated five female t-shirt models, and in study 2 and 3, participants rated five male t-shirt models (N = 120) or university students (N = 50). Analyses of variance controlling for sex (ANCOVA) showed participants were least likely to want to interact with models/students wearing sexually suggestive graphics: Study 1, F(3,165) = 30.263, p < .001, η_p ²  = .30, power = 1.00; Study 2, F (3,119) = 11.630, p < .000, η_p ² = .234, and Study 3, F(1, 42) = 12.578, p < .000. Participants did not rate models in the academic and athletic graphic shirts differently from models with plain white shirts. Results support the concept that people form different perceptions based upon the clothing a person wears, changing behavioral intentions. Neither sex role ideation (Study 1) or sexism (Study 2) were significant covariates of perceptions and intentions.     

Spatial learners display enhanced oculomotor performance

ABSTRACT

Attention is important during navigation processes that rely on a cognitive map, as spatial relationships between environmental landmarks need to be selected, encoded, and learned. Spatial learners navigate using this process of cognitive map formation, which relies on the hippocampus. Conversely, response learners memorise a series of actions to navigate, which relies on the caudate nucleus. The present study aimed to investigate the relationship between spatial learning and oculomotor performance. We tested 23 response learners and 23 spatial learners, as determined by the 4-on-8 virtual maze, on an antisaccade task with a gap and emotional visual stimulus manipulation. Spatial learners displayed decreased saccadic reaction time latencies compared to response learners. Performance cost from the gap manipulation was significantly higher in response learners. These results could represent an attentional practice effect through the use of spatial strategies during navigation or a more global increase in cognitive function amongst spatial learners.     

The relationship between cognitive ability and personality scores in selection situations: A meta‐analysis

Several faking theories have identified applicants’ cognitive ability (CA) as a determinant of faking—the intentional distortion of answers by candidates—but the corresponding empirical findings in the area of personality tests are often ambiguous. Following the assumption that CA is important for faking, we expected applicants with high CA to show higher personality scores in selection situations, leading in this case to significant correlations between CA and personality scores, but not in nonselection situations. This meta‐analysis (66 studies, k = 115 individual samples, N = 46,265) showed this pattern of results as well as moderation effects for the study design (laboratory vs. field), the response format of the personality test, and the type of CA test.     

Effects of Response Instructions on Faking a Situational Judgment Test

A situational judgment test (SJT) and a Big 5 personality test were administered to 203 participants under instructions to respond honestly and to fake good using a within‐subjects design. Participants indicated both the best and worst response (i.e., Knowledge) and the most likely and least likely response (i.e., Behavioral Tendency) to each situation. Faking effect size for the SJT Behavioral Tendency response format was (d=.34) when participants responded first under honest instructions and (d=.15) when they responded first under faking instructions. Those for the Big 5 dimensions ranged from d=.26 to d=1.0. For the Knowledge response format results were inconsistent. Honest condition Knowledge SJT scores were more highly correlated with cognitive ability (r=.56) than were Behavioral Tendency SJT scores (r=.38). Implications for researchers and practitioners are discussed.     

Sex differences in information processing

Sex differences in cognitive activity were investigated. Using a list containing words with masculine, feminine, and neutral connotations, Experiment 1 revealed that masculine words were better recalled by male college students (n=16) while feminine words were better recalled by female college students (n=16). This difference was reduced on a recognition test. Experiment 2 demonstrated that the phenomenon was not due to a difference in the way males (n=20) and females (n=20) interpreted the meaning of the words. Finally, in Experiment 3, the memorial selectivity was shown to exist in the same manner for White middle-class elementary school (n=32) and high school (n=32) students. Learning and repression interpretations of the effect were proposed. Some practical implications of the data were suggested.These investigations were supported by a seed grant to the first author. This grant was jointly funded by Southern Methodist University and the National Science Foundation's Institutional Grants for Science Program (GU-3752). The authors would like to express their appreciation to the pupils and teachers on Fain Elementary School and Rider High School, both in Wichita Falls, Texas.     

Examining the long-term stability of overgeneral autobiographical memory

Overgeneral autobiographical memory (OGM) is a proposed trait-marker for vulnerability to depression, but relatively little work has examined its long-term stability. This study investigated the stability of OGM over several years in 271 late adolescents and young adults participating in a larger longitudinal study of risk for emotional disorders. The Autobiographical Memory Test (AMT) was administered twice, with test–retest intervals ranging from approximately 3 to 6 years. There was evidence of significant but modest stability in OGM over several years. Specifically, Spearman rank correlations (ρs) between the proportions of specific and categoric memories generated on the two AMTs were .31 and .32, respectively. We did not find evidence that the stability of OGM was moderated by the length of the test–retest interval. Furthermore, the stability coefficients for OGM for individuals with and without a lifetime history of major depressive disorder (MDD) were relatively similar in magnitude and not significantly different from one another (ρs=.34 and .42 for the proportions of specific and categoric memories for those with a history of MDD; ρs=.31 for both the proportions of specific and categoric memories for those without a history of MDD). Implications for the conceptualisation of OGM are discussed.     

Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages

Over the last decade, iterated learning studies have provided compelling evidence for the claim that linguistic structure can emerge from non-structured input, through the process of transmission. However, it is unclear whether individuals differ in their tendency to add structure, an issue with implications for understanding who are the agents of change. Here, we identify and test two contrasting predictions: The first sees learning as a pre-requisite for structure addition, and predicts a positive correlation between learning accuracy and structure addition, whereas the second maintains that it is those learners who struggle with learning and reproducing their input who add structure to it. This prediction is hard to test in standard iterated learning paradigms since each learner is exposed to a different input, and since structure and accuracy are computed using the same test items. Here, we test these contrasting predictions in two experiments using a one-generation artificial language learning paradigm designed to provide independent measures of learning accuracy and structure addition. Adults (N = 48 in each study) were exposed to a semi-regular language (with probabilistic structure) and had to learn it: Learning was assessed using seen items, whereas structure addition was calculated over unseen items. In both studies, we find a strong positive correlation between individuals' ability to learn the language and their tendency to add structure to it: Better learners also produced more structured languages. These findings suggest a strong link between learning and generalization. We discuss the implications of these findings for iterated language models and theories of language change more generally.     

Motor assessment of preschool aged children: A preliminary investigation of the validity of the Bruininks–Oseretsky test of motor proficiency – Short form

The aim of this study was to examine the validity of the Bruininks–Oseretsky test of motor proficiency – short form (BOTMP-SF) [Bruininks, R. (1978). Bruininks–Oseretsky test of motor proficiency: Examiners manual. Circle Pines, MN] for the assessment of preschool aged children. Three-hundred and eighteen children 48–71 months old (M = 58.97 months, SD = 6.73) participated in the study. For the data analysis both an ANOVA and a MANOVA were applied with the total battery score and the 14 item scores being the dependent variables, respectively. Age was found to have a significant effect on both children’s total battery score (F(3, 314) = 110.65, p < .001, η² = .68) and 13 item scores (minimum F(3, 314) = 8.75, p < .001, minimum η² = .145). Although the aforementioned results represent an evidence for the validity of the BOTMP-SF, a closer study on the score of each item revealed a high percentage of zero scores on four items. Task difficulty has caused a floor effect, constituting a threat to the validity of the preschoolers’ motor assessment with the above battery. A modification of the battery items is suggested, so that the BOTMP-SF will give valid results for children 4–6 years old.     

Ghrelin level negatively predicts quality of life in obese women

A cross-sectional cohort study was conducted to investigate whether ghrelin level in obese women predicts the quality of life (QOL). A total of 307 subjects fulfilled the criteria: (1) age between 20 and 65 years old, (2) body mass index ≥27 kg/m² (3) waist circumference ≥80 cm were enrolled in the study. All subjects were assigned to one of the plasma ghrelin level categories according to the quartiles. The median of age and BMI of the 307 obese women were 45 ± 18 years and 29.9 ± 4.1 kg/m², respectively. The main outcome evaluated is the associations of plasma ghrelin level and QOL, which were evaluated using multiple linear regression analysis. Results of linear trend test show significant statistical difference in plasma lipoproteins (triglyceride, cholesterol, HDL-cholestero and LDL-cholesterol = and levels of obesity-related hormone peptides, including leptin, adiponectin, insulin among quartiles of ghrelin. Multiple liner regression analysis of serum obesity-related hormone peptide level and QOL using stepwise method shows ghrelin concentration was the only predictor of QOL, including PCS-12 level (β = ?0.18, p = 0.001), MCS-12 level (β = ?0.14, p = 0.009), WHOQOL-BREF scores: physical (β = ?0.13, p = 0.03), psychological (β = ?0.16, p = 0.007), social (β = ?0.21, p?= < 0.001), and environmental (β = ?0.22, p?= <0.001), after adjusting other factors for obese female subjects. This study demonstrated that ghrelin concentration is strongly associated with QOL level among obese women. Hence, ghrelin concentration might be a valuable marker to be monitored in obese women.     

Testing social-cognitive mediators for objective estimates of physical activity from the Healthy Eating and Active Living for Diabetes in Primary Care Networks (HEALD-PCN) study

Objective: More evidence from prospective studies is needed to determine ‘if’ and ‘how’ social cognitive constructs mediate behaviour change. In a longitudinal study, we aimed to examine potential social cognitive mediators of objectively measured physical activity (PA) behaviour among people with type 2 diabetes (T2D) who participated in a six-month PA intervention. Methods: All participants from the proven effective Healthy Eating and Active Living for Diabetes in Primary Care Networks trial were included for this secondary analysis. Change in pedometer-derived daily step counts (baseline to six months) was the outcome of interest. Primary constructs of interest were from Social Cognitive Theory, however constructs from and Theory of Planned Behaviour were also tested in a mediating variable framework using a product-of-coefficients test. Results: The sample (N = 198) had a mean age of 59.5 (SD 8.3) years, haemoglobin A1c 6.8% (SD 1.1), 50% women, BMI 33.6 kg/m² (SD 6.5), systolic pressure 125.6 mmHg (SD 16.2) and average daily steps were 5879 (SD 3130). Daily pedometer-determined steps increased for the intervention group compared to usual care control at six-months (1481 [SD 2631] vs. 336 [SD 2712]; adjusted p = .002). There was a significant action theory test effect for ‘planning’ (A = .21, SE = .10, p = .037), and significant conceptual theory test results for ‘subjective norms’ (B = 657, SE = 312, p = .037) and ‘cons’ (B = ?664, SE = 270, p = .015). None of the constructs satisfied the criteria for mediation. Conclusions: We were unable to account for the effect of a pedometer-based PA intervention for people with T2D through our examination of mediators. Our findings are inconsistent with some literature concerning PA interventions in diabetes; this may be due to variability in measures used or in study populations.