认知负荷主观评价量表比较

运用双任务实验范式,比较了三种认知负荷主观评价量表的灵敏度与效度。结果发现：在本研究任务条件下,次任务反应时的稳定性、抗干扰性较好,可以作为认知负荷主观评价的标尺;WP量表与PAAS量表的敏感性均较好,其中WP量表的敏感性、诊断性高于后者,TLX量表的敏感性较弱;WP量表与PAAS量表的效度较好,且好于TLX量表。综合各项指标,在中低难度任务下,WP量表是目前认知负荷较为理想的测量工具。     

A Person-Centered Approach to Subjective Well-Being

Rooted in Diener’s (Psychol Bull 95:542–575, 1984) three-component model of subjective well-being (SWB), the present work employed a person-centered approach to studying SWB based on Shmotkin’s (Rev Gen Psychol 9:291–325, 2005) dynamic systems framework. Within-individual configurations of life satisfaction (LS), positive affect (PA), and negative affect (NA) were explored using cluster analysis. Five distinct SWB configurations replicated within and across two samples (N = 756 first-year undergraduates; N = 550 community adults). A substantial number of participants reported a profile indicative of “high SWB” (high LS, frequent PA, infrequent NA). Consistent with expectations, these individuals were characterized by elevated mental, physical, and interpersonal functioning. In contrast, people with a “low SWB” profile reported the greatest dysfunction. Across the five clusters, however, adaptive functioning was not unique to individuals reporting a high SWB profile, nor was dysfunction unique to people characterized by a low SWB configuration. Results are discussed in terms of compensation and strain processes hypothesized by Shmotkin (2005). Implications for future research on SWB are considered.

Meaning in Life as a Subjective Judgment and a Lived Experience

Meaning in life has long been recognized as a central dilemma of human life. In this article, we review some of the challenges of studying meaning in life from the perspective of social psychology. We draw on the diary of Etty Hillesum, a young woman who was killed in Auschwitz, to argue for the relevance of current empirical approaches to meaning in life. We review evidence suggesting that meaning in life is an important variable in the psychology of human functioning while also acknowledging that there is no consensus definition for the construct. Drawing on Hillesum's diary and our research, we argue for the importance of considering meaning in life as the outcome of a subjective judgment process. We then review research showing the strong relationship between positive mood and meaning in life and suggest that such a relationship is born out in the phenomenology of meaning in life.     

Effects of Instructions and Rating Scales on Item Selection for the BSRI Scales

Walkup and Abbott (1978) stated that Edwards and Ashworth's (1977) failure to replicate Bem's (1974) selection of items for the Masculinity and Femininity Scales of the Bern Sex Role Inventory (BSRI) may be attributed to differences in the instructions and anchored rating scales used in the two studies. The present study tested the hypothesis that presence of various interaction effects involving instructions and rating scales would influence the acceptability of items for the BSRI Masculinity and Femininity Scales. Results based on the evaluation of individual items by Bem's item selection criteria in each of the four experimental conditions obtained by systematically manipulating two instructions (Bem's and Edwards' instructions) and two rating scales (Bem's and Edwards' rating scales) and also those based on the analysis of variance of item mean desirability ratings from the four experimental conditions supported the hypothesis.     

A Multidimensional Approach to Apathy after Traumatic Brain Injury

Apathy is commonly described following traumatic brain injury (TBI) and is associated with serious consequences, notably for patients’ participation in rehabilitation, family life and later social reintegration. There is strong evidence in the literature of the multidimensional nature of apathy (behavioural, cognitive and emotional), but the processes underlying each dimension are still unclear. The purpose of this article is first, to provide a critical review of the current definitions and instruments used to measure apathy in neurological and psychiatric disorders, and second, to review the prevalence, characteristics, neuroanatomical correlates, relationships with other neurobehavioural disorders and mechanisms of apathy in the TBI population. In this context, we propose a new multidimensional framework that takes into account the various mechanisms at play in the facets of apathy, including not only cognitive factors, especially executive, but also affective factors (e.g., negative mood), motivational variables (e.g., anticipatory pleasure) and aspects related to personal identity (e.g., self-esteem). Future investigations that consider these various factors will help improve the understanding of apathy. This theoretical framework opens up relevant prospects for better clinical assessment and rehabilitation of these frequently described motivational disorders in patients with brain injury.     

A Computationally Efficient State Space Approach to Estimating Multilevel Regression Models and Multilevel Confirmatory Factor Models

Although the state space approach for estimating multilevel regression models has been well established for decades in the time series literature, it does not receive much attention from educational and psychological researchers. In this article, we (a) introduce the state space approach for estimating multilevel regression models and (b) extend the state space approach for estimating multilevel factor models. A brief outline of the state space formulation is provided and then state space forms for univariate and multivariate multilevel regression models, and a multilevel confirmatory factor model, are illustrated. The utility of the state space approach is demonstrated with either a simulated or real example for each multilevel model. It is concluded that the results from the state space approach are essentially identical to those from specialized multilevel regression modeling and structural equation modeling software. More importantly, the state space approach offers researchers a computationally more efficient alternative to fit multilevel regression models with a large number of Level 1 units within each Level 2 unit or a large number of observations on each subject in a longitudinal study.     

A change of mind: The Conners Abbreviated Rating Scales Reconsidered

A cutoff score of 15 on the Conners 10-item Abbreviated Teacher Rating Scale (ATRS), based on a study from this laboratory, has been widely used by investigators for diagnosis of the syndrome known now as Attention Deficit Disorder with or without Hyperactivity. A replication of the original research employing a larger norm sample indicates that the suggested score of 15 is too low. Comparing the norm sample with hyperactive subjects selected by cutoff of 15 on the ATRS showed that the groups differed greatly on hyperactivity but not on inattention. The abbreviated form of the Conners scale does not effectively select children with attention deficits. Numerous problems with both the 39-item teacher scale and the abbreviated form suggest strongly that they be abandoned as research tools.This research was supported in part by research grant No. MH18909 from the National Institute of Mental Health.     

Teaching and Learning Forgiveness: A Multidimensional Approach

Abstract. This essay seeks to illumine the teaching and learning of the practice of forgiveness by relating a range of theoretical perspectives (theological, psychological, and socio‐cultural) to the process of cultivating the practical wisdom needed for forgiveness. We discuss how a Trinitarian “epistemology of the cross” might lead one to a new way of perceiving life’s constraints and possibilities and relate this theological epistemology to three psychological approaches for understanding forgiveness – a narrative approach, object‐relations theory, and consciousness development theory. Our discussion of these theoretical perspectives is explicitly related to the practice of teaching and learning forgiveness, outlining learning activities we have used in a course we taught (which ranged from case studies and film to lectures and discussions based on close readings of biblical and theological texts) and reporting highlights in our students’ work.     

Income and Subjective Well-being: Test of a Multilevel Moderated Mediation Model

Applied Research in Quality of Life - Is the Easterlin paradox lost, or has it been regained? Scholars have started to debate this topic in recent years. This paper explores the association between...     

Acquiescent Responding in Balanced Multidimensional Scales and Exploratory Factor Analysis

Personality tests often consist of a set of dichotomous or Likert items. These response formats are known to be susceptible to an agreeing-response bias called acquiescence. The common assumption in balanced scales is that the sum of appropriately reversed responses should be reasonably free of acquiescence. However, inter-item correlation (or covariance) matrices can still be affected by the presence of variance due to acquiescence. To analyse these correlation matrices, we propose a method that is based on an unrestricted factor analysis and can be applied to multidimensional scales. This method obtains a factor solution in which acquiescence response variance is isolated in an independent factor. It is therefore possible, without the potentially confounding effect of acquiescence, to: (a) examine the dominant factors related to content latent variables; and (b) estimate participants’ factor scores on content latent variables. This method, which is illustrated by two empirical data examples, has proved to be useful for improving the simplicity of the factor structure. This research was partially supported by a grant from the Spanish Ministry of Science and Technology (SEJ2005-09170-C04-04/PSIC), and a grant from the Catalan Ministry of Universities, the Research and Information Society (2005SGR00017). The authors are obliged to the team of reviewers for helpful comments on an earlier version of this paper.     

The Functional Analytic Psychotherapy Rating Scale: a Replication and Extension

Few theories of psychotherapy give direction to the therapist on a moment-to-moment level or make predictions about how specific therapist techniques change client behavior in session. Functional analytic psychotherapy (FAP, Kohlenberg and Tsai in Functional analytic psychotherapy: a guide for creating intense and curative therapeutic relationships. Plenum, New York 1991) provides this direction and prediction. Specifically, FAP claims that client problem behaviors will be displayed in the therapeutic relationship and that the therapist can improve client in-session behavior through differential, contingent responding. Further, it is assumed that these improvements in session can be generalized to out of session relationships. The FAP rating scale (FAPRS) was developed for the purpose of coding in-session client and therapist behaviors in an effort to test FAP’s purported mechanism of change. The current study seeks to replicate and extend initial FAPRS findings (Callaghan et al. in J Contemp Psychother 33:321–339, 2003) regarding mechanism of change and to address transportability. FAPRS coding data from a single successful case of an individual diagnosed with Borderline Personality Disorder and treated with FAP is presented. Results indicate that the FAPRS system is transportable and are generally supportive of the claim that therapist contingent responding leads to client improvement.     

Diagnostic Classification Models for a Mixture of Ordered and Non-ordered Response Options in Rating Scales

When developing ordinal rating scales, we may include potentially unordered response options such as “Neither Agree nor Disagree,” “Neutral,” “Don’t Know,” “No Opinion,” or “Hard to Say.” To handle responses to a mixture of ordered and unordered options, Huggins-Manley et al. (2018) proposed a class of semi-ordered models under the unidimensional item response theory framework. This study extends the concept of semi-ordered models into the area of diagnostic classification models. Specifically, we propose a flexible framework of semi-ordered DCMs that accommodates most earlier DCMs and allows for analyzing the relationship between those potentially unordered responses and the measured traits. Results from an operational study and two simulation studies show that the proposed framework can incorporate both ordered and non-ordered responses into the estimation of the latent traits and thus provide useful information about both the items and the respondents.     

A Goal‐Priming Approach to Cognitive Consistency: Applications to Judgment

A fundamental criterion of judgment is consistency among beliefs. To augment traditional methods for studying cognitive consistency, we treat it as a goal and present a priming method for increasing its activation. Three studies use three criteria to validate the method: an increase in the biased evaluation of incoming information, speed in a lexical decision task, and participants' direct reports of greater goal activation. The method is then used to verify the role of the consistency goal in three diverse judgment phenomena. Priming cognitive consistency increases the search for postdecisional supporting information (selective exposure to information), the agreement between preference and prediction (the desirability bias or wishful thinking), and the adjustment of a socially unacceptable implicit attitude to conform to the corresponding explicit attitude. One conclusion is that the cause of these phenomena is not only motivated reasoning (driven directionally by a desired outcome) but also the purely cognitive and nondirectional process of simply making beliefs more consistent. Copyright © 2015 John Wiley & Sons, Ltd.     

A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers

Response times on test items are easily collected in modern computerized testing. When collecting both (binary) responses and (continuous) response times on test items, it is possible to measure the accuracy and speed of test takers. To study the relationships between these two constructs, the model is extended with a multivariate multilevel regression structure which allows the incorporation of covariates to explain the variance in speed and accuracy between individuals and groups of test takers. A Bayesian approach with Markov chain Monte Carlo (MCMC) computation enables straightforward estimation of all model parameters. Model-specific implementations of a Bayes factor (BF) and deviance information criterium (DIC) for model selection are proposed which are easily calculated as byproducts of the MCMC computation. Both results from simulation studies and real-data examples are given to illustrate several novel analyses possible with this modeling framework. The authors thank Steven Wise, James Madison University, and Pere Joan Ferrando, Universitat Rovira i Virgili, for generously making available their data sets for the empirical examples in this paper.     

On the Usefulness of a Multilevel Logistic Regression Approach to Person-Fit Analysis

The logistic person response function (PRF) models the probability of a correct response as a function of the item locations. Reise (2000) Reise, S. P. 2000. Using multilevel logistic regression to evaluate person-fit in IRT models. Multivariate Behavioral Research, 35: 543–568. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar] proposed to use the slope parameter of the logistic PRF as a person-fit measure. He reformulated the logistic PRF model as a multilevel logistic regression model and estimated the PRF parameters from this multilevel framework. An advantage of the multilevel framework is that it allows relating person fit to explanatory variables for person misfit/fit. We critically discuss Reise's approach. First, we argue that often the interpretation of the PRF slope as an indicator of person misfit is incorrect. Second, we show that the multilevel logistic regression model and the logistic PRF model are incompatible, resulting in a multilevel person-fit framework, which grossly violates the bivariate normality assumption for residuals in the multilevel model. Third, we use a Monte Carlo study to show that in the multilevel logistic regression framework estimates of distribution parameters of PRF intercepts and slopes are biased. Finally, we discuss the implications of these results and suggest an alternative multilevel regression approach to explanatory person-fit analysis. We illustrate the alternative approach using empirical data on repeated anxiety measurements of cardiac arrhythmia patients who had a cardioverter-defibrillator implanted.     

Explanatory Multidimensional Multilevel Random Item Response Model: An Application to Simultaneous Investigation of Word and Person Contributions to Multidimensional Lexical Representations

This paper presents an explanatory multidimensional multilevel random item response model and its application to reading data with multilevel item structure. The model includes multilevel random item parameters that allow consideration of variability in item parameters at both item and item group levels. Item-level random item parameters were included to model unexplained variance remaining when item related covariates were used to explain variation in item difficulties. Item group-level random item parameters were included to model dependency in item responses among items having the same item stem. Using the model, this study examined the dimensionality of a person’s word knowledge, termed lexical representation, and how aspects of morphological knowledge contributed to lexical representations for different persons, items, and item groups.     

Subjective Well-Being in Cities: A Multidimensional Concept of Individual, Social and Cultural Variables

Subjective indicators of well-being have been proposed as guides for development policy since development is not limited to material wealth (Veenhoven, Social Indicators Research, 58:33–45 2002; Diener, Journal of Happiness Studies 7:4–397 2006). Development studies have suffered from a materialistic bias (Easterlin, Journal of Economic Behavior and Organization 27:35–47 1995). The paper presents a comparative cross-cultural investigation of domains of subjective well-being (SWB) and a global measure of Satisfaction with Life as a Whole (SWLS) in three cities: Bogotá-Colombia; Belo-Horizonte-Brazil and Toronto-Canada. The Personal and National Wellbeing Indexes (PWI and NWI) developed by the International Wellbeing Group (IWG, Cummins, Social Indicators Research 38:303–328 1996; Cummins et al., Social Indicators Network News 69:8 2002) as well as the Satisfaction With Life Scale (SWLS, Diener et al., Journal of Personality Assessment 49:71–75 1985) were applied and successfully validated at the city level. The cities chosen have similar democratic institutions but different cultures and different “objective” indicators of development. Significant differences across cities as well as significant interaction effects were found for the subjective well-being indexes and demographic variables. Based on these results, we propose that NWI may be seen as a contextual antecedent of PWI, consistent with our view that individual evaluations of SWB may be determined by dispositional factors (top-down), context (bottom-up domains) and cultural values. The validation of the subjective well-being indexes in diverse cultural contexts is an important contribution in a field that has been mainly dominated by European, American and Australian samples.