Teacher personality and teacher effectiveness in secondary school: Personality predicts teacher support and student self-efficacy but not academic achievement

Students' educational outcomes are predicted by their noncognitive characteristics, including Big Five personality domains. Although theories of teaching and learning suggest that teacher noncognitive characteristics also impact student outcomes, such characteristics are rarely studied systematically. We propose that the Big Five personality domains of teachers are associated with teacher effectiveness. Furthermore, we test two potential moderators of these relationships: (1) source of teacher personality report (student reports may show stronger effects than teacher self-reports) and (2) frame of reference (contextualized "at school" personality items for teacher self-reports may show stronger effects than noncontextualized standard personality items). Multilevel regressions were conducted on the data collected from secondary school students (N = 2,082) and their mathematics and English teachers (N = 75). We statistically controlled for student and teacher gender, student previous academic achievement, and student personality. Teacher personality predicted the subjective measures of teacher effectiveness- the strongest predictors were conscientiousness for teacher academic support, agreeableness for teacher personal support, and neuroticism for student performance self-efficacy. Teacher personality did not predict the objective measure (student academic achievement). These effects were moderated by source of personality report but not by frame of reference. The possibility of including personality as part of the initial teacher trainee selection procedure in the future is briefly discussed

Trajectories of university adjustment in the United Kingdom: Emotion management and emotional self-efficacy protect against initial poor adjustment

Little is known about individual differences in the pattern of university adjustment. This study explored longitudinal associations between emotional self-efficacy, emotion management, university adjustment, and academic achievement in a sample of first year undergraduates in the United Kingdom (N=331). Students completed measures of adjustment to university at three points during their first year at university. Latent Growth Mixture Modeling identified four trajectories of adjustment: (1) low, stable adjustment, (2) medium, stable adjustment, (3) high, stable adjustment, and (4) low, increasing adjustment. Membership of the low, stable adjustment group was predicted by low emotional self-efficacy and low emotion management scores, measured at entry into university. This group also had increased odds of poor academic achievement, even when grade at entry to university was controlled. Students who increased in adjustment had high levels of emotion management and emotional self-efficacy, which helped adaptation. These findings have implications for intervention

Facets of conscientiousness and their differential relationships with cognitive ability factors

This study examined relationships between conscientiousness facets and both broad factors of cognitive ability and collegiate GPA. Students responded to 117 Conscientiousness items and 15 cognitive tests demarcating fluid intelligence, crystallized intelligence, quantitative reasoning, visual processing, and broad retrieval ability. Confirmatory factor analysis replicated the eight-factor model found in MacCann, Duckworth, and Roberts (2009). Conscientiousness facet correlations with Cognitive Ability and GPA revealed that Cautiousness exhibited the highest correlation with Cognitive Ability, while Industriousness showed the strongest relationship with GPA. Procrastination Refrainment was the only facet negatively related to Cognitive Ability. Implications of these results are discussed in light of previ- ous research and the potentially moderating effect of high- versus low-stakes testing on the relationship between conscientiousness and cognitive ability

New approaches to measuring emotional intelligence

New scoring and test construction methods for emotional intelligence (EI) are suggested as alternatives for current practice, where most tests are scored by group judgment and are in ratings-based format. Both the ratings-based format and the proportion-based scores resulting from group judgments may act as method effects, obscuring relationships between EI tests, and between EI and intelligence. In addition, scoring based on standards rather than group judgments add clarity to the meaning of test scores. For these reasons, two new measures of emotional intelligence (EI) are constructed: (1) the Situational Test of Emotional Understanding (STEU); and (2) the Situational Test of Emotion Management (STEM). Following test construction, validity evidence is collected from four multi-variate studies. The STEU’s items and a standards-based scoring system are developed according to empirically derived appraisal theory concerning the structure of emotion [Roseman, 2001]. The STEM is developed as a Situational Judgment Test (SJT) with situations representing sadness, fear and anger in work life and personal life settings. Two qualitative studies form the basis for the STEM’s item development: (1) content analysis of responses to semi-structured interviews with 31 psychology undergraduates and 19 community volunteers; and (2) content analysis of free responses to targeted vignettes created from these semi-structured interviews (N = 99). The STEM may be scored according to two expert panels of emotions researchers, psychologists, therapists and life coaches (N = 12 and N = 6). In the first multi-variate study (N = 207 psychology undergraduates), both STEU and STEM scores relate strongly to vocabulary test scores and moderately to Agreeableness but no other dimension from the five-factor model of personality. STEU scores predict psychology grade and an emotionally-oriented thinking style after controlling vocabulary and personality test scores (ΔR2 = .08 and .06 respectively). STEM scores did not predict academic achievement but did predict emotionally-oriented thinking and life satisfaction (ΔR2 = .07 and .05 for emotionally-oriented thinking and .04 for life satisfaction). In the second multi-variate study, STEU scores predict lower levels of state anxiety, and STEM scores predict lower levels of state anxiety, depression, and stress among 149 community volunteers from Sydney, Australia. In the third multi-variate study (N = 181 psychology undergraduates), Strategic EI, fluid intelligence (Gf) and crystallized intelligence (Gc) were each measured with three indicators, allowing these constructs to be assessed at the latent variable level. Nested structural equation models show that Strategic EI and Gc form separate latent factors (Δχ2(1) = 12.44, p < .001). However, these factors relate very strongly (r = .73), indicating that Strategic EI may be a primary mental ability underlying Gc. In this study, STEM scores relate to emotionally-oriented thinking but not loneliness, life satisfaction or state stress, and STEU scores do not relate to any of these. STEM scores are significantly and meaningfully higher for females (d = .80), irrespective of gender differences in verbal ability or personality, or whether expert scores are derived from male or female experts. The fourth multi-variate study (N = 118 psychology undergraduates) distinguishes an EI latent factor (indicated by scores on the STEU, STEM and two emotion recognition ability measures) from a general cognitive ability factor (indicated by three intelligence measures; Δχ2(1) = 10.49, p < .001), although again cognitive ability and EI factors were strongly related (r = .66). Again, STEM scores were significantly higher for females (d = .44) and both STEU and STEM relate to Agreeableness but not to any other dimension from the five-factor model of personality. Taken together, results suggest that: (1) STEU and STEM scores are reasonably reliable and valid tests of EI; (2) EI tests assess slightly different constructs to existing measures of Gc, but more likely form a new primary mental ability within Gc than an entirely separate construct; and (3) the female superiority for EI tests may prove useful for addressing adverse impact in applied settings (e.g., selection for employment, promotion or educational opportunities), particularly given that many current assessment tools result in a male advantage

Evidence for three factors of perfectionism: : Perfectionistic Strivings, Order, and Perfectionistic Concerns

The factor structure of perfectionism is inconsistent across models. Most models distinguish between adaptive and maladaptive aspects of perfectionism, but often do not include elements representing order. Order, however, is theoretically important and distinct from the broad adaptive perfectionism factor. Therefore, a three-factor model of perfectionism was tested in a sample of undergraduate students (N = 208) who completed the Almost Perfect Scale-Revised and the Frost Multidimensional Perfectionism Scale. According to the chi-squared difference test and CFI differences, model fit improved when repre- senting Order as a separate factor. In addition, Order and Perfectionistic Strivings factors showed signif- icantly different correlations with Conscientiousness and Neuroticism, academic performance expectation, and four achievement goal orientations, providing further evidence of their distinctiveness. Therefore, including Order as a separate factor represents a better model of perfectionism

Validation Française de l’Échelle de la Personnalité Temporelle (French Validation of the Time Personality Indicator)

RÉSUMÉ Certains auteurs ont développé un intérêt pour la compréhension des aptitudes associées à la gestion du temps. Ainsi, plusieurs définitions théoriques ont été proposées afin de mieux cerner ce concept et une multitude de questionnaires a été développée afin de le mesurer. La présente étude visait à valider la traduction française d’un de ces outils, soit le Time Personality Indicator (TPI). Des analyses exploratoires et confirmatoires ont été effectuées sur l’ensemble des données recueillies auprès de 1 267 étudiants et employés de l’Université Laval ayant complété la version française du TPI ainsi que d’autres mesures de la personnalité. Les résultats ont révélé qu’une solution à huit facteurs permet de mieux décrire les données de l’échantillon. La discussion présente les raisons pour lesquelles la version française du TPI est valide, identifie certaines limites de la présente étude et souligne l’utilité de cet outil pour la recherche sur la gestion du temps. (ABSTRACT: Numerous authors have developed an interest towards the understanding of the abilities related to time management. As a consequence, multiple theoretical definitions have been proposed to explain time management. Likewise, several questionnaires have been developed in order to measure this concept. The aim of this study was to validate a French version of one of these tools, namely the Time Personality Indicator (TPI). The French version of the TPI and other personality questionnaires were completed by 1267 students and employees of Université Laval. The statistical approach used included exploratory and confirmatory analyses. Results revealed that an eight factor model provided a better adjustment to the data. The discussion provides arguments supporting the validity of the French version of the TPI and underlines the importance of such a tool for the research on time management

Mediating effects of parents’ coping strategies on the relationship between parents’ emotional intelligence and sideline verbal behaviors in youth soccer

The overall purpose of this study was to examine the mediating effects of parents’ coping strategies on the relationship between parents’ emotional intelligence and sideline verbal behaviors during their children’s soccer games. Participants were 232 parents (120 mothers and 110 fathers) of youth soccer players age 9–13 years. Observations in situ were carried out at 30 soccer games during a soccer tournament. At the end of the game, parents were approached and asked to complete the Emotional Intelligence Scale and the Brief COPE scale. Structural-equation-modeling analyses revealed that adaptive and maladaptive coping mediated the relationship between regulation of emotion and parents’ praise/encouragement, and negative and derogatory comments during the game. In addition, game result moderated the relationships between emotional intelligence, coping strategies, and parent behaviors. Emotional regulation and adaptive coping may promote desirable parent sideline behaviors and reduce undesirable behaviors

The Use of Rasch Modeling To Improve Standard Setting

As a wider variety of meaningful assessment strategies come into more prominent classroom use, teachers are called upon to craft scoring rubrics which validly and reliably assess students\u27 knowledge and abilities. The creation of instructionally sound rubrics can be time consuming, and many teachers feeling the pinch of time pressures are turning to rubric resources from the World Wide Web for assistance. The purposes of this paper are to review the issues surrounding the creation of instructionally sound rubrics, to examine how those issues apply to online rubric banks and rubric generators, and to offer guidelines for how educators can use online resources to best support the creation of meaningful and effective rubrics. Accessed 20,478 times on https://pareonline.net from January 24, 2006 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right

New approaches to measuring emotional intelligence

New scoring and test construction methods for emotional intelligence (EI) are suggested as alternatives for current practice, where most tests are scored by group judgment and are in ratings-based format. Both the ratings-based format and the proportion-based scores resulting from group judgments may act as method effects, obscuring relationships between EI tests, and between EI and intelligence. In addition, scoring based on standards rather than group judgments add clarity to the meaning of test scores. For these reasons, two new measures of emotional intelligence (EI) are constructed: (1) the Situational Test of Emotional Understanding (STEU); and (2) the Situational Test of Emotion Management (STEM). Following test construction, validity evidence is collected from four multi-variate studies. The STEU’s items and a standards-based scoring system are developed according to empirically derived appraisal theory concerning the structure of emotion [Roseman, 2001]. The STEM is developed as a Situational Judgment Test (SJT) with situations representing sadness, fear and anger in work life and personal life settings. Two qualitative studies form the basis for the STEM’s item development: (1) content analysis of responses to semi-structured interviews with 31 psychology undergraduates and 19 community volunteers; and (2) content analysis of free responses to targeted vignettes created from these semi-structured interviews (N = 99). The STEM may be scored according to two expert panels of emotions researchers, psychologists, therapists and life coaches (N = 12 and N = 6). In the first multi-variate study (N = 207 psychology undergraduates), both STEU and STEM scores relate strongly to vocabulary test scores and moderately to Agreeableness but no other dimension from the five-factor model of personality. STEU scores predict psychology grade and an emotionally-oriented thinking style after controlling vocabulary and personality test scores (ΔR2 = .08 and .06 respectively). STEM scores did not predict academic achievement but did predict emotionally-oriented thinking and life satisfaction (ΔR2 = .07 and .05 for emotionally-oriented thinking and .04 for life satisfaction). In the second multi-variate study, STEU scores predict lower levels of state anxiety, and STEM scores predict lower levels of state anxiety, depression, and stress among 149 community volunteers from Sydney, Australia. In the third multi-variate study (N = 181 psychology undergraduates), Strategic EI, fluid intelligence (Gf) and crystallized intelligence (Gc) were each measured with three indicators, allowing these constructs to be assessed at the latent variable level. Nested structural equation models show that Strategic EI and Gc form separate latent factors (Δχ2(1) = 12.44, p < .001). However, these factors relate very strongly (r = .73), indicating that Strategic EI may be a primary mental ability underlying Gc. In this study, STEM scores relate to emotionally-oriented thinking but not loneliness, life satisfaction or state stress, and STEU scores do not relate to any of these. STEM scores are significantly and meaningfully higher for females (d = .80), irrespective of gender differences in verbal ability or personality, or whether expert scores are derived from male or female experts. The fourth multi-variate study (N = 118 psychology undergraduates) distinguishes an EI latent factor (indicated by scores on the STEU, STEM and two emotion recognition ability measures) from a general cognitive ability factor (indicated by three intelligence measures; Δχ2(1) = 10.49, p < .001), although again cognitive ability and EI factors were strongly related (r = .66). Again, STEM scores were significantly higher for females (d = .44) and both STEU and STEM relate to Agreeableness but not to any other dimension from the five-factor model of personality. Taken together, results suggest that: (1) STEU and STEM scores are reasonably reliable and valid tests of EI; (2) EI tests assess slightly different constructs to existing measures of Gc, but more likely form a new primary mental ability within Gc than an entirely separate construct; and (3) the female superiority for EI tests may prove useful for addressing adverse impact in applied settings (e.g., selection for employment, promotion or educational opportunities), particularly given that many current assessment tools result in a male advantage

Estimating the Standard Error of the Judging in a modified-Angoff Standards Setting Procedure

For a modified Angoff standards setting procedure, two methods of calculating the standard error of the judging were compared. The Central Limit Theorem (CLT) method is easy to calculate and uses readily available data. It estimates the variance of mean cut scores as a function of the variance of cut scores within a judging group, based on the independent judgements at Stage 1 of the process. Its theoretical drawback is that it is unable to take account of the effects of collaboration among the judges at Stages 2 and 3. The second method, an application of equipercentile (EQP) equating, relies on the selection of very large stable candidatures and the standardisation of the raw score distributions to remove effects associated with test difficulty. The standard error estimates were then empirically obtained from the mean cut score variation observed over a five year period. For practical purposes, the two methods gave reasonable agreement, with the CLT method working well for the top band, the band that attracts most public attention. For some bands in English and Mathematics, the CLT standard error was smaller than the EQP estimate, suggesting the CLT method be used with caution as an approximate guide only. Accessed 31,793 times on https://pareonline.net from March 01, 2004 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right