Hierarchical models of simple mechanisms underlying confidence in decision making

Choice confidence is a central measure in psychological decision research, often being reported on a probabilistic scale. Simple mechanisms that describe the psychological processes underlying choice confidence, including those based on error and confirmation biases, have typically received support via fits to data averaged over subjects. While averaged data ease model development, they can also destroy important aspects of the confidence data distribution. In this paper, we develop a hierarchical model of raw confidence judgments using the beta distribution, and we implement two simple confidence mechanisms within it. We use Bayesian methods to fit the hierarchical model to data from a two-alternative confidence experiment, and we use a variety of Bayesian tools to diagnose shortcomings of the simple mechanisms that are overlooked when applied to averaged data. Bugs code for estimating the models is also supplied.     

The effects of romantic partners’ goal congruence on affective well-being

Affective well-being in romantic couples was examined from the perspective of interdependence theory. The independent variables were (a) presence of partner, (b) whether an activity met the actor’s goals, and (c) goals of the actor’s partner. Dependent variables were feelings of closeness and affective well-being (happiness, sadness, anger, anxiety). We predicted a three-way interaction with the highest affective well-being when partners are together and activities meet both partners’ goals. In Study 1, data from 194 married individuals who participated in an experience sampling study supported our predictions. Feelings of closeness partially mediated the effect on affective well-being. Study 2 replicated the findings with 112 participants in dating relationships who recalled specific events and made ratings about goals and affective well-being.     

Getting precise and pragmatic about the assessment of bullying: the development of the California Bullying Victimization Scale

Accurate assessment of bullying is essential to intervention planning and evaluation. Limitations to many currently available self-report measures of bullying victimization include a lack of psychometric information, use of the emotionally laden term "bullying" in definition-first approaches to self-report surveys, and not assessing all components of the definition of bullying (chronicity, intentionality, and imbalance of power) in behavioral-based self-report methods. To address these limitations, we developed the California Bullying Victimization Scale (CBVS), which is a self-report scale that measures the three-part definition of bullying without the use of the term bully. We examined test-retest reliability and the concurrent and predictive validity of the CBVS across students in Grades 5-12 in four central California schools. Concurrent validity was assessed by comparing the CBVS with a common, definition-based bullying victimization measure. Predictive validity was examined through the co-administration of measures of psychological well-being. Analysis by grade and gender are included. Results support the test-retest reliability of the CBVS over a 2-week period. The CBVS was significantly, positively correlated with another bullying assessment and was related in expected directions to measures of well-being. Implications for differentiating peer victimization and bullying victimization via self-report measures are discussed.     

Happy today, happy tomorrow: The (non-)effect of temporal distance on judgments of Life Satisfaction

Construal Level Theory (CLT; Trope &; Liberman, 2003) posits that everyday life predictions, evaluations, and choices are influenced by how near or distant in time the event is. However, judgments of Life Satisfaction (LS) are relatively weakly influenced by situational factors and relatively strongly influenced by personality factors. Moreover, the constructive episodic simulation hypothesis ( [Schacter and Addis, 2007] and [Schacter and Addis, 2007] ) implies that memory of past events provides details for simulations of future novel experiences. Undergraduate students (N = 127) were randomly asked for how desirable LS was and for actual judgements of LS in the near- or distant-future. The results show that LS was more desirable in the distant-future. Thus, indicating that LS is abstractly assessed and judgments of LS should therefore be influenced by temporal distance as predicted by CLT. However, no significant differences in actual LS were found between conditions. Implications for theory development are discussed.     

Commonly-defined and individually-defined posttraumatic growth in the US and Japan

Posttraumatic growth (PTG) is the experience of positive change resulting from the struggle with major life crises. Research on PTG has relied on instruments such as the Posttraumatic Growth Inventory (PTGI: Tedeschi &; Calhoun, 1996), in which items that describe positive changes are assumed to represent personal growth equally for all people. However, some positive changes may indicate greater growth for some people. Individually-defined PTG may differ from commonly-defined PTG. The purpose of this study was to explore the relationships between these two definitions of PTG and how culture affects them. Participants from the US (n = 456) and Japan (n = 279) indicated the degree to which each change in the PTGI represented personal growth. Results from mixed-model analyses of variance revealed that there were main effects for defined growth as well as interaction effects for all PTGI factors. For example, US participants reported greater growth on the factors Relating to Others and New Possibilities for the commonly-defined level, but once individually-defined PTG was considered, growth scores for US participants decreased substantially, and more so than for Japanese participants. Discussion addresses cultural and individual differences in the subjective definitions of PTG and highlights several directions for future research.     

Age and gender differences in adolescents' homework experiences

Extant data collected through the Experience Sampling Method were analyzed to describe adolescents' subjective experiences of homework. Analyses explored age and gender differences in the time adolescents spend doing homework, and the situational variations (location and companions) in adolescents' reported concentration, effort, interest, positive affect and stress while doing homework. Regarding age differences, middle school students reported more positive experiences when homework was done with companions and in locations other than home, whereas high school students reported more positive experiences when homework was done alone and at home. Regarding gender differences, girls, regardless of age, reported greater stress than boys when doing homework alone, and lower stress when doing homework with friends. High school girls reported lower interest than middle school boys when doing homework alone. Findings provide an understanding of age and gender differences in adolescents' perceptions of homework, which might help educators and parents structure engaging homework environments.     

A critical review of relationship quality measures: Is a fresh start needed? An agenda to move forward

Social relationships in and around work are a fundamental building block of organizational life. According to a number of relationship theories, the quality of those relationships is a critical aspect of their influence on a variety of employee and organizational outcomes. Relationship quality is, therefore, one of the most commonly studied constructs in management research. Our paper critically reviews the landscape of relationship quality measures used in management studies, identifying critical issues with how the construct has been conceptualized and measured. To help advance research on the subject and improve measurement, we identify and evaluate 21 relationship quality measures that have been developed for, or used in, management research. Overall, we find that the instruments used to measure relationship quality in management research have significant limitations associated with their conceptualizations and operationalizations. Many of these limitations stem from the fact that most of the measures used to assess the construct were not originally designed to measure relationship quality, which impedes research clarity and implications. We offer a future research agenda and several recommendations for the advancement of management research on relationship quality.     

Automatic question generation and answer assessment for subjective examination

Automatic generation of questions and evaluating their answers is a highly challenging task in natural language processing and educational technology. This work focuses on generating subjective questions and also an evaluation system is suggested for assessing the answers. For generating the questionnaires, key-phrases are extracted from the course curriculum (syllabus). Next, based on the key-phrases, different types of subjective questions are generated. Finally, the evaluation of student’s responses is achieved using a multi-criteria-decision-making approach. It uses a set of model answers taken from different textbooks and subject experts to evaluate the answers. Multiple measures are used to assess the answers by comparing them with this model set. The results of the profound system reveal that the automated appraisal process can reduce the manual effort of the human.