Research Alert: The development of a universal screening measure for young children: Assessing social and emotional competencies in early childhood.

A quick FYI email post.  Article is NOT open access.😕

 

The development of a universal screening measure for young children: Assessing social and emotional competencies in early childhood. 
https://psycnet.apa.org/record/2027-67366-001

 

Wadington, M., Eklund, K., Kilgus, S. P., & von der Embse, N. P. (2026). The development of a universal screening measure for young children: Assessing social and emotional competencies in early childhood. School Psychology. Advance online publication. https://doi.org/10.1037/spq0000747

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Abstract

Research highlights the importance of the early identification of social, emotional, and behavioral concerns in young children; however, there are limitations regarding the usability and technical adequacy of available measures. The purpose of the present study was the initial development and validation of the Social, Academic, and Emotional Behavior Risk Screener–Early Childhood measure, a novel tool designed to assess social, emotional, and behavioral functioning for preschool-aged children. Current analyses examined internal structure, reliability, concurrent validity, and diagnostic accuracy. Data were collected from 299 children, ages 2–6, and 42 educators from six early childhood centers in the Midwest and Southeastern regions of the United States. Results of a series of factor analyses provided support for a four-factor model and yielded adequate estimates of the internal consistency reliability of each factor. Correlational and receiver operating characteristic curve findings yielded strong support for the concurrent validity and diagnostic accuracy of the Social, Academic, and Emotional Behavior Risk Screener–Early Childhood Total Behavior, Social Behavior, Early Learning Behavior, and Challenging Behavior scales relative to Devereux Early Childhood Assessment for Preschoolers–Second Edition scales. Less support was found for the Anxious Behavior scale. Limitations, implications for practice, and future directions are also discussed. 

The McGrew Model of Achievement Competence Model (MACM)--Standing on the shoulders of giants: CJSP article supplementary materials

The Model of Achievement Competence Motivation (MACM) has been  under development since the early 2000's by Dr. Kevin S. McGrew.   The work is (has) been formally presented in an invited article--"The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021), for a forthcoming special issue on motivation in the Canadian Journal of School Psychology). 

Due to the page length constraints of the journal, significant background and explanatory information could not be presented in the article.  Thus, I have "off-loaded" this material for supplementary viewing via on-line PPT slide shows and downloadable PDF files.

Five MACM PPT modules have been posted at SlideShare and can be viewed and downloaded from that site.  For those who would prefer to directly download PDF versions of the PPT modules from one page...here it is.  Below are the titles of the five modules and associated download links.  In addition, the paper includes, in a table footnote, definitions for 16 self-regulatory constructs from a recent article by Sitzman and Ely (2011).  That PDF file is also available from download below.

Enjoy.

The Model of Achievement Competence Motivation (MACM)

• Introduction and overview (A)
  
• Overview of the model (B)
• The motivation domains defined (C)
• The volition and self-regulation domain (D)
• Crossing the Rubicon Commitment Pathway Model to Learning (E)
  
• 16 self-regulatory constructs (from article definition table)
  

The Model of Achievement Competence Motivation (MACM): Part D-Volition and Self-Regulated Learning Domains

 The Model of Achievement Competence Motivation (MACM) is a series of slide modules.  By clicking on the link you can view the slides at SlideShare.  This is the fourth (Part D) in the series--Volition and Self-regulated Learning Domains described..  There will be a total of five modules.  The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)

You should be able to access the prior modules (A-C) from the link above.

Click here for prior "beyond IQ" labeled posts at this blog.

The Model of Achievement Competence Motivation (MACM) Part B: An overview of the MACM model

The Model of Achievement Competence Motivation (MACM) is a series of slide modules.  By clicking on the link you can view the slides at SlideShare.  This is the second (Part B) in the series--An overview of the model.  There will be a total of five modules.  The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)

Click here for first of the series (Part A:  Introduction and Background)

Click here for prior "beyond IQ" labeled posts at this blog.

Can emotional intelligence (Gei) be trained: A meta-analysis

Can emotional intelligence be trained? A meta-analysis

Please cite this article as: Mattingly, V., Human Resource Management Review (2018), https://doi.org/10.1016/j.hrmr.2018.03.002

Victoria Mattingly, Kurt Kraiger

Keywords: Emotional intelligence, Training Meta-analysis

A B S T R A C T

Human resource practitioners place value on selecting and training a more emotionally in-telligent workforce. Despite this, research has yet to systematically investigate whether emo-tional intelligence can in fact be trained. This study addresses this question by conducting a meta-analysis to assess the effect of training on emotional intelligence, and whether effects are mod-erated by substantive and methodological moderators. We identified a total of 58 published and unpublished studies that included an emotional intelligence training program using either a pre-post or treatment-control design. We calculated Cohen's d to estimate the effect of formal training on emotional intelligence scores. The results showed a moderate positive effect for training, regardless of design. Effect sizes were larger for published studies than dissertations. Effect sizes were relatively robust over gender of participants, and type of EI measure (ability v. mix-edmodel). Further, our effect sizes are in line with other meta-analytic studies of competency-based training programs. Implications for practice and future research on EI training are discussed.

See prior Gei posts here and here.


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The importance of differential psychology for school learning: 90% of school achievement variance is due to student characteristics

This is why the study of individual differences/differential psychology is so important. If you don’t want to read the article you can watch a video of Dr. Detterman where he summarizes his thinking and this paper.

Education and Intelligence: Pity the Poor Teacher because Student Characteristics are more Significant than Teachers or Schools. Article link.

Douglas K. Detterman

Case Western Reserve University (USA)

Abstract

Education has not changed from the beginning of recorded history. The problem is that focus has been on schools and teachers and not students. Here is a simple thought experiment with two conditions: 1) 50 teachers are assigned by their teaching quality to randomly composed classes of 20 students, 2) 50 classes of 20 each are composed by selecting the most able students to fill each class in order and teachers are assigned randomly to classes. In condition 1, teaching ability of each teacher and in condition 2, mean ability level of students in each class is correlated with average gain over the course of instruction. Educational gain will be best predicted by student abilities (up to r = 0.95) and much less by teachers' skill (up to r = 0.32). I argue that seemingly immutable education will not change until we fully understand students and particularly human intelligence. Over the last 50 years in developed countries, evidence has accumulated that only about 10% of school achievement can be attributed to schools and teachers while the remaining 90% is due to characteristics associated with students. Teachers account for from 1% to 7% of total variance at every level of education. For students, intelligence accounts for much of the 90% of variance associated with learning gains. This evidence is reviewed


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Beyond Cognitive Abilities: An Integrative Model of Learning-Related Personal Competencies and Aptitude Trait Complexes

For centuries educational psychologists have highlighted the importance of "non-cognitive" variables in school learning.  Below readers will find a PPT presentation that presents a "big picture" overview of how cognitive abilities and non-cognitive factors can be integrated into an over-arching conceptual framework.  The presentation also illustrates how the big picture framework can be used to conceptualize a number of contemporary "buzz word" initiatives related to building 21st century educationally important skills (social-emotional learning, critical thinking, creativity, complex problem solving, etc.)

The two preliminary images can be enlarged by click on them.

Prior related "Beyond IQ" blog posts can be found here.

Beyond cognitive abilities: An integrative model of learning-related personal competencies and aptitude trait complexes from Kevin McGrew