Alternative Lens Model Equations for Dichotomous Judgments about Dichotomous Criteria

The Brunswik lens model typically represents a judge's accuracy using parameters derived from linear regression. This is not optimal if the judgment or the ecological criterion is dichotomous. Alternative approaches, modeling dichotomies using logistic regression, or linearizing judgments with confidence ratings, have not been compared with the same data. Four techniques for deriving lens model equation parameters were compared: (i) linear and (ii) logistic regression applied to dichotomous patient outcomes and judgments; (iii) linear regression with confidence‐adjusted judgments but dichotomous patient outcomes; and (iv) a hybrid with a linear model of the confidence‐adjusted judgments and a logistic model of the patient outcomes. Judgment accuracy (r_a) was slightly higher with confidence adjustment of the categorical judgments. The logistic lens model accounted for a higher proportion of r_a than the linear lens model; the confident‐linear and hybrid lens models were intermediate. For up to a quarter of participants, different methods identified different cues as most important. Display condition differences in achievement r_a and in lens model components are similar with all lens model methods. Each of the three alternative lens model equation methods improves on the linear lens model equation's decomposition of the accuracy of dichotomous judgments. Confidence adjustment improves achievement although it requires additional work from the subjects. The logistic lens model equation explains the highest proportion of achievement, but with a small stimulus set, it is more vulnerable to cue intercorrelations than either the linear or the confident linear lens model equation. Copyright © 2016 John Wiley & Sons, Ltd.     

Confidence and decision type under matched stimulus conditions: overconfidence in perceptual but not conceptual decisions

Within the domain of metacognition, there is disagreement whether different processes underlie evaluations of confidence in perceptual versus conceptual decisions. The relationship between confidence and accuracy for perceptual and conceptual decisions was compared using newly created stimuli that could be used to elicit either decision type. Based on theories of Brunswikian and Thurstonian uncertainties, significant underconfidence for perceptual decisions and overconfidence for conceptual decisions were predicted. Three within‐subjects experiments did not support this hypothesis. Participants showed significant overconfidence for perceptual decisions and no overconfidence for conceptual decisions. In addition, significant hard‐easy effects were consistently found for both decision types. Incorporating our findings with past results reveals that both over‐ and underconfidence are attainable on perceptual tasks. This conclusion, in addition to the common presence of hard‐easy effects and significant across‐task correlations in over/underconfidence, suggests that confidence judgments for the two decision types may depend on largely shared processes. Possible contributions to confidence and over/underconfidence are explored, focusing on response time factors and participants' knowledge bases. Copyright © 2007 John Wiley & Sons, Ltd.     

大学生经济信心和心理健康的关系:生涯自我效能感的中介作用

采用经济信心问卷、生涯自我效能感量表、总体主观幸福感量表、贝克焦虑和抑郁量表,对237名大学生进行调查,考察大学生经济信心对其心理健康的影响,以及生涯自我效能感在两者之间可能的中介作用。结果表明,经济信心与生涯自我效能感和主观幸福感呈显著的正相关,与抑郁显著负相关,生涯自我效能感与主观幸福感显著正相关,与焦虑、抑郁显著负相关。大学生经济信心对其主观幸福感和抑郁具有显著的预测作用。大学生生涯自我效能感在经济信心与主观幸福感之间起到部分中介作用,其在经济信心和抑郁之间起到完全中介作用。此外,大学生生涯自我效能感传递了经济信心对焦虑的间接影响。     

Implicit self-esteem is associated with higher levels of trait gratitude in women but not men

ABSTRACT

Higher levels of trait gratitude have been associated with measures of greater self-reported self-esteem. However, such self-report measures may be influenced by self-report biases. In this study we investigated for the first time whether implicit measures of self-esteem would be associated with greater trait gratitude in a sample of 88 undergraduate students (41 female). We observed that, in women (but not men), higher levels of trait gratitude were associated with higher implicit self-esteem (r = .26, p = .05), even when accounting for depressive symptoms. This finding may be of particular importance, as implicit measures of self-esteem have been more strongly associated with psychological health than explicit measures. Future research should further investigate whether the experience of gratitude affects self-esteem differently in men and women, as this knowledge may be important in informing the design of future gratitude interventions aimed at improving psychological health in men and women.     

A Factorial Analysis of Responses to the Comic as a Study in Personality

Modeling techniques were used to model moderate disclosure to high and low disclosers. Eighty female undergraduates (40 low disclosers and 40 high disclosers) listened to a model select items that were rated as moderate disclosures for discussion. Two modeling conditions were employed; in one condition the model was reinforced by the E (vicarious reinforcement), in the second condition the model was not reinforced. Two control conditions, one with the model present, the other with the model absent were also included. The results of two separate 2 × 4 × 2 repeated measures, hierarchical analyses of variance on the subject distance from modeled intimacy, and the number of moderate items selected on pre- and posttests, indicated that both modeling conditions were successful in producing moderation of self-disclosure.     

Application of Sequential Interval Estimation to Adaptive Mastery Testing

In this paper, we apply sequential one-sided confidence interval estimation procedures with β-protection to adaptive mastery testing. The procedures of fixed-width and fixed proportional accuracy confidence interval estimation can be viewed as extensions of one-sided confidence interval procedures. It can be shown that the adaptive mastery testing procedure based on a one-sided confidence interval with β-protection is more efficient in terms of test length than a testing procedure based on a two-sided/fixed-width confidence interval. Some simulation studies applying the one-sided confidence interval procedure and its extensions mentioned above to adaptive mastery testing are conducted. For the purpose of comparison, we also have a numerical study of adaptive mastery testing based on Wald's sequential probability ratio test. The comparison of their performances is based on the correct classification probability, averages of test length, as well as the width of the “indifference regions.” From these empirical results, we found that applying the one-sided confidence interval procedure to adaptive mastery testing is very promising.     

A strict response criterion yields a mirror effect in the novelty paradigm

According to the novelty/encoding hypothesis (NEH; Tulving & Kroll, 1995), efficacy of encoding information into long-term memory depends on the movelty of the information. Recognition accuracy is higher for novel than for previously familiarized material. This novelty effect is not a mirror effect: the superiority of novel over familiar items is not found in the hit rates but only in the false-alarm rates. The main result in the present replication study was that novel hit rates were higher than familiar ones when the most confident responses were examined separately, and thus a mirror effect could be demonstrated for these data, for both the low- and the high-frequency words. Similarly, the word-frequency effect on hits was stronger when a stricter response criterion was applied. It was concluded that the novelty effect and the word-frequency effect are more similar to one another than has hitherto been thought.     

Interval estimation for the intraclass correlation in dirichlet-multinomial data

When the underlying distribution is discrete with a limited number of categories, methods for interval estimation of the intraclass correlation which assume normality are theoretically inadequate for use. On the basis of large sample theory, this paper develops an asymptotic closed-form interval estimate of the intraclass correlation for the case where there is a natural score associated with each category. This paper employs Monte Carlo simulation to demonstrate that when the underlying intraclass correlation is large, the traditional interval estimator which assumes normality can be misleading. We find that when the number of classes is 20, the interval estimator proposed here can generally perform reasonably well in a variety of situations. This paper further notes that the proposed interval estimator is invariant with respect to a linear transformation. When the data are on a nominal scale, an extension of the proposed method to account for this case, as well as a discussion on the relationship between the intraclass correlation and a kappa-type measure defined here and on the limitation of the corresponding kappa-type estimator are given.The authors wish to thank the Editor, the Associate Editor, and the three referees for many valuable comments and suggestions to improve the clarity of this paper. The works for the first, the third, and the fourth authors were partially supported by grant #R01AR43025-01 from the National Institute of Arthritis and Musculoskeletal and Skin Diseases.     

Approximate interval estimation for a certain intraclass correlation coefficient

When the raters participating in a reliability study are a random sample from a larger population of raters, inferences about the intraclass correlation coefficient must be based on the three mean squares from the analysis of variance table summarizing the results: between subjects, between raters, and error. An approximate confidence interval for the parameter is presented as a function of these three mean squares.Dr. Fleiss is also with the Biometrics Research Unit of the New York State Psychiatric Institute. This work was supported in part by grant DE 04068 from the National Institute of Dental Research.     

Early childhood educator outcomes from online professional development for physical literacy: A randomised controlled trial

IntroductionEarly childhood is recognised as a critical window of opportunity for physical literacy development, however early childhood educators typically lack the training required to effectively provide appropriate physical literacy opportunities for children. We examined the effects of an online physical literacy professional development program—relative to continuing with ‘standard’ practice—on early childhood educators’ physical literacy knowledge and application.MethodsWe conducted a parallel two-arm randomised controlled trial, in which 88 early childhood educators were randomly assigned to an online professional development program designed to support educators’ physical literacy instructional skills (intervention arm; n = 37), or a ‘standard practice’ control condition (n = 51). Data were collected prior to and after the four-week intervention period. We measured educators’ physical literacy knowledge and application (our primary outcome) through independent coding of open-ended survey responses, and educators’ self-reported perceptions of values, confidence, behaviours, and barriers (secondary outcomes). Between-group differences were assessed through analysis of covariance.ResultsOne intervention arm participant withdrew from the study, resulting in 87 participants included in analysis. Educators in the intervention arm scored significantly higher on post-intervention physical literacy knowledge (d = 0.62) and application (d = 0.33) than those in the control arm. Educators in the intervention arm also scored significantly higher than controls on confidence in teaching physical activity (d = 0.42) and significantly lower than controls on perceived personal barriers to physical activity (d = 0.53). Thirteen participants in the intervention arm (36%) did not begin the online professional development program.ConclusionImprovements in physical literacy instructional outcomes indicate the potential for further investigation into broader implementation of online professional development programs of this nature in the future.