The Structure and Stability of Subjective Well-Being: a Structure Equation Modelling Analysis

The purpose of the study is to test the structure and the stability of Subjective Well-Being (SWB), measured through cognitive and affective self-report measures, in global and specific levels of analysis. A sample of 303 adult students was collected and replicated in a 2 month interval. The best model of SWB shows an intercorrelated four-factor structure—Satisfaction with Life, Negative Affect, Positive Affect and Global Subjective Well-being. Results suggest that Global Happiness and Global Satisfaction are measuring the same aspect of SWB. All measures of SWB, in study, show good construct validity and reliability in a 2 month replication. Positive and Negative Affect are significantly weakly correlated. Positive Affect is the most stable variable of SWB, in a short-term interval. Researchers must be aware of the issues related to the measurement of SWB as the order of the items in a questionnaire and the implications of using global or specific measures, cognitive or affective dimensions of the concept, that represent different aspects of the concept. Further study is needed to analyse the structure of SWB with different measures and the relationship between its components.

Strengthening scientific verbal behavior: an experimental comparison of progressively prompted and unprompted programmed instruction and prose tutorials

Web-based software was used to deliver and record the effects of programmed instruction that progressively added formal prompts until attempts were successful, programmed instruction with one attempt, and prose tutorials. Error-contingent progressive prompting took significantly longer than programmed instruction and prose. Both forms of programmed instruction substantially increased the appropriate use of behavioral vocabulary during subsequent interpretive essays. These behavioral gains extended to a different setting, suggesting that more was being learned than simply how to answer programmed tutorial frames correctly.     

Simulating mother–child interaction: exploring two varieties of a non‐linear dynamic systems approach1

In theoretical analyses of early mother–child interaction, it has been argued that interaction should be studied in its flow over time, and that the behaviour of each interactant is likely to be non‐linearly determined. The mother–child dyad can be seen as a non‐linear dynamic system, the development of which is determined by the mutual relations between its elements. The present study is based on the idea that computer simulations can be used to find out what kind of empirical implication these ideas have. Accordingly, we describe two non‐linear dynamic systems‐based models for simulating mother–child interaction, i.e. a connectionist network model and a logistic growth model. Three determinants of the nature of the interaction, i.e. the child's irritability, the mother's sensitive responsiveness, and the intensity of an external stressor bothering the child, are varied systematically. Although the results of both simulations differed considerably, they shared the fact that small changes in stressor intensity produced abrupt changes from one type of interaction to another. In addition, increasing stressor intensity sometimes had the paradoxical effect of resulting in less, rather than more, distress on the side of the child. Though irritability and responsiveness were varied in a less fine‐grained way than stressor intensity, the results suggest that similarly small differences in these dimensions at different parts of the dimension's scale range have differentially strong effects on the nature of the interaction. It is concluded that these simulations help us to specify the nature of empirically researchable phenomena that are to be expected, given the assumptions listed above. Further elaboration of the models and comparison with longitudinal empirical data is needed to answer further theoretical and practical questions. Copyright © 2000 John Wiley & Sons, Ltd.     

The mathematics of geographic profiling

We begin by describing some of the mathematical foundations of the geographic profiling problem. We then present a new mathematical framework for the geographic profiling problem based on Bayesian statistical methods that makes explicit connections between assumptions on offender behaviour and the components of the mathematical model. It also can take into account local geographic features that either influence the selection of a crime site or influence the selection of an offender's anchor point. Copyright © 2009 John Wiley & Sons, Ltd.     

Choice Behaviour in a Computer-Aided Multiattribute Decision Task

Choice behaviour in an interactive multiple-criteria decision-making environment was examined experimentally. The main purpose was to investigate whether subjects are more comfortable in processing criterion/attribute information simultaneously (in parallel) or sequentially. As a research instrument, three different interactive software systems were used on a microcomputer by management students at the Helsinki School of Economics and Business Administration and the Institute of National Economy in Moscow to solve essentially the same problem of buying/leasing a home tailored to the respective decision environments. The experiments also provided us with a possibility to learn useful lessons about how human subjects make computer-supported choices. The results of the experiments are discussed. Furthermore, questions for future research are suggested. © 1997 John Wiley & Sons, Ltd.     

The Dynamics of Personality Approach (DPA): 20 Tenets for Uncovering the Causal Mechanisms of Personality

Over the last few decades, most personality psychology research has been focused on assessing personality via scores on a few broad traits and investigating how these scores predict various behaviours and outcomes. This approach does not seek to explain the causal mechanisms underlying human personality and thus falls short of explaining the proximal sources of traits as well as the variation of individuals' behaviour over time and across situations. On the basis of the commonalities shared by influential process-oriented personality theories and models, we describe a general dynamics of personality approach (DPA). The DPA relies heavily on theoretical principles applicable to complex adaptive systems that self-regulate via feedback mechanisms, and it parses the sources of personality in terms of various psychological functions relevant in different phases of self-regulation. Thus, we consider personality to be rooted in individual differences in various cognitive, emotional–motivational, and volitional functions, as well as their causal interactions. In this article, we lay out 20 tenets for the DPA that may serve as a guideline for integrative research in personality science. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Imitation of Goal Engagement and Disengagement Processes in Romantic Relationships

Individual differences in goal engagement and goal disengagement processes have been demonstrated to be related to goal attainment, health, and emotional well-being. However, there is a dearth of studies on the developmental conditions of individual differences in these processes. Social learning processes contribute to the formation of individual dispositions even in adulthood. As one pathway of learning, we investigated observational learning of goal regulation processes in romantic relationships in two experimental studies. Study 1 (N = 67 couples, M = 32.65 years) replicated a previous finding that observing partners imitated their partner's goal regulation processes in the same task and extended it by showing transfer effects to another task. Study 2 (N = 60 couples, M = 25.9 years) demonstrated that—given a lack of praise of the modelled actions—partners still imitated goal regulation processes but to a smaller extent. These findings lend support for observational learning as a pathway to individual differences in the application of goal regulation processes. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Predicting psychological service providers' empowerment in the light of the COVID‐19 pandemic outbreak: A structural equation modelling analysis

This study aimed to investigate the predictors of psychological service providers' empowerment in the light of the COVID‐19 pandemic outbreak. The researcher prepared a psychological service providers' empowerment scale that consisted of 28 items, and this scale was applied in a random sample consisting of 975 psychological service providers. The results showed that the empowerment scale has acceptable validity and reliability. The results of the exploratory factor analysis indicated that the 28 scale items saturate on seven factors, which accounted for 64.42% of the total variance of the scale: the first factor named expect psychological services effectiveness accounted for 27.86%, the second factor named self‐stimulation accounted for 9.71%, the third factor named responsibilities and duties accounted for 7.12%, the fourth factor named psychological services work environment accounted for 6.51%, the fifth factor named psychological service providers’ decision‐making accounted for 5.37%, the sixth factor named creative psychological service provider behaviour accounted for 4.45%, and the seventh factor named psychological services confidence accounted for 3.82% of the total variance of a psychological service providers' empowerment. In order to study the ability to predict the empowerment among psychological service providers, the researcher developed a structural model for psychological service providers' empowerment and then used the structural equation model analysis. The results showed that the proposed structural model of a psychological service providers' empowerment has goodness‐of‐fit, and these results emphasised the ability to predict psychological service providers' empowerment by seven tested factors.     

对从HSK题库中计算机自动生成试卷稳定性的试验检验

由计算机从题库中自动生成的试卷能否保持难度的相对稳定？根据IRT进行的等值误差范围有多大？为了回答这些问题,本文以共同组等值作为标准,对基于IRT之上的共同题等值误差进行了试验检验。试验中,采取一定措施保证了考生的动机水平。结果显示,IRT等值的校正方向都是正确的。在4个分测验中有3个分测验的的等值校正效果较理想,1个分测验的等值校正效果不够理想。计算机自动生成的试卷与原有人工命制的试卷在得分方面比较一致,分数相关达到0.931,获得证书的情况也是比较一致的。     

Nested diagnostic classification models for multiple-choice items

This study proposes and evaluates a diagnostic classification model framework for multiple-choice items. Models in the proposed framework have a two-level nested structure which allows for binary scoring (for correctness) and polytomous scoring (for distractors) at the same time. One advantage of these models is that they can provide distractor information while maintaining the statistical properties of the correct response option. We evaluated parameter recovery through a simulation study using Hamiltonian Monte Carlo algorithms in Stan. We also discussed three approaches to implementing the proposed modelling framework for different purposes and testing scenarios. We illustrated those approaches and compared them with a binary model and a traditional nominal model through an operational study.