Reasoning about Sensing Actions in Domains with Multi-Valued Fluents

In this paper, we discuss the weakness of current action languages for sensing actions with respect to modeling domains with multi-valued fluents. To address this problem, we propose a language with sensing actions and multi-valued fluents, called AM_K, provide a transition function based semantics for the language, and demonstrate its use through several examples from the literature. We then define the entailment relationship between action theories and queries in AM_K, denoted by ⊧AM_K, and discuss some properties about AM_K.     

Do psychosocial and study skill factors predict college outcomes? A meta-analysis

This study examines the relationship between psychosocial and study skill factors (PSFs) and college outcomes by meta-analyzing 109 studies. On the basis of educational persistence and motivational theory models, the PSFs were categorized into 9 broad constructs: achievement motivation, academic goals, institutional commitment, perceived social support, social involvement, academic self-efficacy, general self-concept, academic-related skills, and contextual influences. Two college outcomes were targeted: performance (cumulative grade point average; GPA) and persistence (retention). Meta-analyses indicate moderate relationships between retention and academic goals, academic self-efficacy, and academic-related skills (ps =.340,.359, and.366, respectively). The best predictors for GPA were academic self-efficacy and achievement motivation (ps =.496 and.303, respectively). Supplementary regression analyses confirmed the incremental contributions of the PSF over and above those of socioeconomic status, standardized achievement, and high school GPA in predicting college outcomes.     

Implications of direct and indirect range restriction for meta-analysis methods and findings

Range restriction in most data sets is indirect, but the meta-analysis methods used to date have applied the correction for direct range restriction to data in which range restriction is indirect. The authors show that this results in substantial undercorrections for the effects of range restriction, and they present meta-analysis methods for making accurate corrections when range restriction is indirect. Applying these methods to a well-known large-sample empirical database, the authors estimate that previous meta-analyses have underestimated the correlation between general mental ability and job performance by about 25%, indicating that this is potentially an important methodological issue in meta-analysis in general.     

Are True Scores and Construct Scores the Same? A critical examination of their substitutability and the implications for research results

Relations between constructs are estimated based on correlations between measures of constructs corrected for measurement error. This process assumes that the true scores on the measure are linearly related to construct scores, an assumption that may not hold. We examined the extent to which differences in distribution shape reduce the correlation between true scores on a measure and scores on the underlying construct they are intended to measure. We found, via a series of Monte Carlo simulations, that when the actual construct distribution is normal, nonnormal distributions of true scores caused this correlation to drop by an average of only .02 across 15 conditions. When both construct and true score distributions assumed different combinations of nonnormal distributions, the average correlation was reduced by .05 across 375 conditions. We conclude that theory‐based scales intended to measure constructs usually correlate highly with the constructs they are constructed to measure. We show that, as a result, in most cases true score correlations only modestly underestimate correlations between different constructs. However, in cases in which the two constructs are redundant, this underestimation can lead to the false conclusion that the constructs are ‘correlated but distinct constructs,’ resulting in construct proliferation.     

Correction for Range Restriction in Meta‐Analysis Revisited: Improvements and Implications for Organizational Research

In this study, we present a more accurate method for correcting for range restriction (Case V) that expands upon Bryant and Gokhale's (1972) method. We further present detailed steps to incorporate the Case V method into Schmidt and Hunter's (2015) psychometric meta‐analysis methods (both individual correction and artifact distribution approaches). We then evaluate the accuracy of the Case V method vis‐à‐vis existing methods. Monte‐Carlo simulation results indicate that the Case V method provides very accurate estimates for the mean true score correlation and reasonably accurate estimates for the true standard deviation. More important, Case V almost always provides more accurate results than alternative methods (particularly, Case IV). To illustrate how the Case V method works with real data, we conduct a reanalysis of Judge, Heller, and Mount's (2002) meta‐analysis examining the relationships between the Big 5 personality traits and job satisfaction. Results indicate that the true score correlations between the Big 5 traits and job satisfaction have been underestimated, whereas their true standard deviations have been overestimated. Implications for range restriction corrections in organizational research are discussed.     

Longitudinal examination of optimism,personal self-efficacy and student well-being: a path analysis

The present longitudinal study, based on existing theoretical tenets, explored a conceptual model that depicted four major orientations: optimism, self-efficacy, and academic well-being. An important question for consideration, in this case, involved the testing of different untested trajectories that could explain and predict individuals’ mastery-approach goal orientations. This research investigation, in particular, is of significance for its unexploratory nature, and its findings, we contend, would contribute to our understanding of individuals’ academic and learning patterns. Data were collected across six separate time points, and path analytical procedures were used to test the hypothesized relationships. MPlus 7.3 produced a number of notable findings, emphasizing mediating mechanisms and interesting trajectories, for example: (1) the impact of enactive learning experience on Time 1 optimism and Time 3 self-efficacy, (2) the positive impact of Time 1 optimism on Time 2 motivation towards learning, and on Time 3 self-efficacy, (3) the direct impact of Time 1 optimism on Time 6 mastery-approach goals, mediated by Time 4 optimism and then Time 5 motivation towards learning. This evidence, overall, is substantive in terms of making theoretical contributions, as well as informing sound pedagogical practices for consideration and implementation.     

Ill-structured measurement designs in organizational research: implications for estimating interrater reliability

Organizational research and practice involving ratings are rife with what the authors term ill-structured measurement designs (ISMDs)--designs in which raters and ratees are neither fully crossed nor nested. This article explores the implications of ISMDs for estimating interrater reliability. The authors first provide a mock example that illustrates potential problems that ISMDs create for common reliability estimators (e.g., Pearson correlations, intraclass correlations). Next, the authors propose an alternative reliability estimator--G(q,k)--that resolves problems with traditional estimators and is equally appropriate for crossed, nested, and ill-structured designs. By using Monte Carlo simulation, the authors evaluate the accuracy of traditional reliability estimators compared with that of G(q,k) for ratings arising from ISMDs. Regardless of condition, G(q,k) yielded estimates as precise or more precise than those of traditional estimators. The advantage of G(q,k) over the traditional estimators became more pronounced with increases in the (a) overlap between the sets of raters that rated each ratee and (b) ratio of rater main effect variance to true score variance. Discussion focuses on implications of this work for organizational research and practice.     

The Incremental Validity of Honesty–Humility Over Cognitive Ability and the Big Five Personality Traits

The present study examines the incremental validity of Honesty–Humility (H-H), a measure of the tendency to be fair and genuine in dealing with others, for supervisory ratings of job performance (including both task and contextual performance) over cognitive ability and the Big Five personality traits. Specifically, we explore the incremental validity of H-H in predicting contextual performance. Results based on 217 South Korean military officer candidates are consistent with previous conclusions that Conscientiousness is the strongest predictor of contextual performance and that cognitive ability is the strongest predictor of task performance. More important, our results reveal that H-H offers moderate incremental validity for contextual performance but no incremental validity for task performance over the effects of cognitive ability and the Big Five personality traits.