Motivational–cognitive profiles of learners: Cluster movement

The present study was designed to identify the motivational–cognitive profiles of students in Singapore secondary schools using cluster movement. Five distinct motivated strategies for learning (MSL) profiles based on a sample of 304 students were revealed: those with low levels of motivational beliefs and cognition but high anxiety (Poor MSL); high motivational beliefs and cognition but low anxiety (Good MSL); moderate high motivational beliefs, cognition and anxiety (Average MSL); high motivational beliefs, cognition and anxiety (High MSL); and low motivational beliefs, cognition and anxiety (Low MSL). Findings of this study also showed cluster movement across two time points, revealing the shifts in cluster membership in terms of motivational–cognitive profiles over time. Students in Good MSL demonstrated the most adaptive learning profile and achieved the highest grades than other clusters. Our findings contributed to practical underpinnings of educational research as well as provided meaningful insights to both researchers and practitioners.     

Towards a synthesis of personality,temperament, motivation,emotion and mental health models within the Circumplex of Personality Metatraits

The paper presents empirical verification of the Circumplex of Personality Metatraits (CPM) that overcomes some problems with the Big Five and enables the integration of various constructs and models developed within many sub-disciplines of psychology. Empirical verification of the model was conducted on a group of 1045 participants in two steps: (1) validation of the model (e.g., the circular arrangement of the metatraits, and relations with the Big Five); (2) verification of the synthesizing potential of this model by testing the predicted locations of temperamental traits, interpersonal traits, values, affects, and mental health constructs within the CPM. It has been found that the CPM can be treated as a matrix accommodating constructs described by circumplex, circular, and noncircular models.     

Association of preterm birth and intrauterine growth restriction with childhood motor development: Brisa cohort,Brazil

The present study investigated the association between preterm birth PT conditions, intrauterine growth restriction IUGR and the combination of both PT-IUGR with infant motor development. A cohort with 1006 children was monitored during prenatal, at birth, and two years of age. Bayley-III screening was used to evaluate of fine and gross motor skills. The data did not indicate an increased risk for motor delays in the PT or IUGR, composed mainly by mild cases. However, the combination of the conditions PT-IUGR increased the risk of delays in motor, which emphasizes the importance of monitoring the motor development of the group.     

Convergence,commonality, and context in psychoanalytic supervision

ABSTRACT

What are the binding commonalities that demark and define any and all psychoanalytic supervision perspectives? What do we all do as psychoanalytic supervisors that practically matters? Furthermore, might there be a unifying model that anchors those binding commonalities together into a supervision meaning-making, explanatory framework? In this two-part paper, I take up those questions. In Part I, based on a century-spanning literature review, I identify 50 (non-exhaustive) common Support and Learning factors that appear present across the panoply of psychoanalytic supervision perspectives. Relational, educational, and interventional, these 50 factors reflect the very stuff of which psychoanalytic supervision is made. In Part II, I present and elaborate upon the Contextual Psychoanalytic Supervision Relationship Model (CPSRM) – a theoretically-grounded model that anchors and contextualizes those common Support and Learning factors. Because common factors can be seen as nothing more than atheoretical amalgamation (i.e., lists of desirable characteristics endlessly strung together), the CPSRM is proposed as a theoretically-based antidote. A supervisory extrapolation of Wampold’s contextual psychotherapy relationship model, the CPSRM accentuates relational connection, expectations/goals, and educational action as preeminently supervisee change inducing and learner affecting.     

Making Positive Changes Counseling (MPCC) Program: A Creative Adaptation of Motivational Interviewing for Use with Children in School Settings

ABSTRACT

Motivational Interviewing (MI)-based counseling can be creatively adapted for working with elementary school students in disciplinary alternative education program (DAEP) settings. The purpose of this article is to describe the implementation of MI with elementary-aged students in the DAEP. The Making Positive Changes Counseling (MPCC) program is a six-session program, which addresses children’s readiness for change, exploration of values and goals and current behaviors, recognition of personal strengths, perspective taking, recognition for possible changes, and effective decision making. The program is an adaptation of the standardized MI approach utilizing visuals and age-appropriate materials that are easily adaptable to individualized (or even group) guidance format.     

Spatio-temporal accident analysis for accident prevention in relation to behavioral factors in driving: The case of South Anatolian Motorway

Analyzing the pattern of traffic accidents on road segments can highlight the hazardous locations where the accidents occur frequently and help to determine problematic parts of the roads. The objective of this paper is to utilize accident hotspots to analyze the effect of different measures on the behavioral factors in driving. Every change in the road and its environment affects the choices of the driver and therefore the safety of the road itself. A spatio-temporal analysis of hotspots therefore can highlight the road segments where measures had positive or negative effects on the behavioral factors in driving. In this paper 2175 accidents resulted in injury or death on the South Anatolian Motorway in Turkey for the years between 2006 and 2009 are considered. The network-based kernel density estimation is used as the hotspot detection method and the K-function and the nearest neighbor distance methods are taken into account to check the significance of the hotspots. A chi-square test is performed to find out whether temporal changes on hotspots are significant or not. A comparison of characteristics related driver attributes like age, experience, etc. for accidents in hotspots vs. accidents outside of hotspots is performed to see if the temporal change of hotspots is caused by structural changes on the road. For a better understanding of the effects on the driver characteristics, the accidents are analyzed in five groups based on three different grouping schemes. In the first grouping approach, all accident data are considered. Then the accident data is grouped according to direction of the traffic flow. Lastly, the accident data is classified in terms of the vehicle type. The resultant spatial and temporal changes in the accident patterns are evaluated and changes on the road structure related to behavioral factors in driving are suggested.