scholarly journals (accepted) Cognitive regulation outdoes behavior regulation in predicting state standardized test scores over time

2020 ◽  
Author(s):  
Anahid Modrek ◽  
Gerardo Ramirez
Keyword(s):  
Test Scores ◽  
Structural Equation ◽  
Standardized Test ◽  
Self Regulation ◽  
Equation Modeling ◽  
Standardized Test Scores ◽  
Behavior Regulation ◽  
Cognitive Regulation ◽  
Over Time

Individual differences in self-regulation have been a topic of increased empirical research. However, few investigations have been conducted on how sub-components of self-regulation differentially predict education outcomes over time. We examined cognitive and behavior regulation as predictors of middle-school students’ (n=127) long-term academic achievement. It has been previously reported that behavior regulation, not cognitive regulation, predicts state standardized test scores in the first year (Modrek et al., 2019). However, here we show that after two years, this pattern flips in that cognitive regulation, not behavior regulation, predicts state standardized test scores for both math and English. We analyzed the mediating role of learning using structural equation modeling, suggesting the differing roles of self-regulation in education where certain facets may or may not affect students’ long-term outcomes.

Silver Bullets

2018 ◽  
Author(s):  
Ellen Winner
Keyword(s):  
Test Scores ◽  
Transfer Of Learning ◽  
Arts Education ◽  
Test Score ◽  
Standardized Test ◽  
Abstract Expressionism ◽  
Standardized Test Scores ◽  
Habits Of Mind ◽  
The Arts ◽  
Over Time

Just as we often hear the unsupported claim that any kid could have made a work of abstract expressionism, we also often hear the claim (equally unsupported) that arts education makes our kids smarter. This is a claim about alleged transfer of learning from the arts to a non-arts outcome. Arts-infused schools, it is said, will raise academic achievement and standardized test scores. Music lessons will raise a child’s IQ. Research discussed here tests these claims, showing that they are unsubstantiated. We will have to look elsewhere for the value of an arts education. The more likely outcomes of quality arts education are not IQ and test score improvements but rather broad habits of mind—learning to observe closely, learning to envision, learning to explore and learn from mistakes, learning to stick with something over time, and developing the habits of critique and evaluation and reflection on one’s process.

Long-term Persuasive Effects in Narrative Communication Research: A Meta-Analysis

2020 ◽  
Vol 70 (4) ◽  
pp. 473-496
Author(s):  
Corinna Oschatz ◽  
Caroline Marker
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Equation Modeling ◽  
Communication Research ◽  
Delayed Measurement ◽  
Persuasive Power ◽  
Over Time

Abstract This meta-analysis builds on the broad and diverse research on the persuasive effects of narrative communication. Researchers have found that narratives are a particularly effective type of message that often has greater persuasive effects than non-narratives immediately after exposure. The present study meta-analyzes whether this greater persuasive power persists over time. Results are based on k1 = 14 studies with k2 = 51 effect sizes for immediate measurement (N = 2,834) and k2 = 66 effect sizes for delayed measurement (N = 2,459). They show that a single narrative message has a stronger persuasive impact than a non-narrative message on attitudes and intentions at immediate as well as on attitudes, intentions, and behaviors at delayed measurement. Both message types did not differently affect the participants’ beliefs. Meta-analytic structural equation modeling confirms transportation as a mediator of immediate persuasive effects.

scholarly journals Dynamics of Multimorbidity Resilience and Health Outcomes Over Time in Community-Residing Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 890-891
Author(s):  
Yingzhi Xu ◽  
Zahra Rahmaty ◽  
Eleanor McConnell ◽  
Tingzhong (Michelle) Xue ◽  
Bada Kang ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Physical Health ◽  
Social Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Psychological Resilience ◽  
Pain Level ◽  
Reciprocal Relationships ◽  
Over Time

Abstract Multimorbidity resilience may mitigate the adverse effects of multiple chronic diseases on older adults’ health. Wister et al.’s (2018) multimorbidity resilience index was developed and tested in a cross-sectional sample of older adults in Canada. Building on these findings, we examined the reciprocal relationships of resilience on outcomes to test these potentially mitigating effects in a community-based, U.S. sample of older adults over time. The study sample includes 1,054 older adults from waves 2 and 3 of the National Social Life, Health, and Aging Project (NSHAP) study (Waite et al 2020). Wister et al.’s (2018) index was mapped to NSHAP measures, and reciprocal relationships of multimorbidity resilience and health outcomes over a 5-year period was tested using structural equation modeling (SEM). Results indicated significant effects of multimorbidity resilience on self-rated physical health and pain. Interestingly, a better functional resilience at baseline conferred better self-rated physical health at follow-up, while better psychological resilience predicted lower pain level. By contrast, the influence of health outcomes on any domain of multimorbidity resilience was not detectable at all, supporting the direction of these associations from resilience to outcomes. The study systematically investigated the dynamic hypotheses between multimorbidity resilience and health outcomes. That is, whether they are determinants or consequences, or both. Our findings suggest multimorbidity resilience predicts subsequent 5-year change in health outcomes, especially self-rated physical health and pain level, but not vice versa, strengthening the evidence of the importance of resilience in the health of older adults.

Green Practices Implementation as Prerequisite to Sustain Firm Competitive Advantages

2015 ◽  
Vol 6 (4) ◽  
pp. 34-53
Author(s):  
Kardison Lumbanbatu ◽  
Vincent Didiek Wiet Aryanto
Keyword(s):  
Product Innovation ◽  
Structural Equation ◽  
Large Scale ◽  
Management Practices ◽  
Corporate Image ◽  
Equation Modeling ◽  
Competitive Advantages ◽  
Green Management ◽  
Marketing Performance

Encompassing firms to apply green policy in a holistic management practices are strongly required in order to maintain competitive advantages and experience long-term marketing performance. This current empirical research is aimed to fill the lack of empirical findings and empirical studies on firm's innovative concept. Green-based product innovation, green management practices and green corporate image are presented as the antecedents and postulated as the sources of sustaining firm competitive advantages. A questionnaire-based survey was deployed to collect data from Large Scale Enterprises in Indonesia with Top Management, Operational and Marketing Managers served as respondents. 500 questionnaires were mailed and 388 were valid for further analysis. Data was analyzed by using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) via AMOS statistical software. Statistical findings demonstrated that green-based product innovation, green management practices and green corporate image significantly has a positive affect to sustain firm competitive advantages which is led to enhance long term marketing performance. However, green-based product innovation plays insignificant direct relationship on long term marketing performance. This study discusses some managerial implications for enterprises and recommendations on a basis of green implementation.

scholarly journals Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism

2021 ◽  
pp. 1-24
Author(s):  
Avidit Acharya ◽  
Kirk Bansak ◽  
Jens Hainmueller
Keyword(s):  
Machine Learning ◽  
Host Country ◽  
Real World ◽  
Test Scores ◽  
Standardized Test ◽  
Market Design ◽  
Standardized Test Scores ◽  
Real World Data ◽  
Refugee Families ◽  
Strategy Proof

Abstract We introduce a constrained priority mechanism that combines outcome-based matching from machine learning with preference-based allocation schemes common in market design. Using real-world data, we illustrate how our mechanism could be applied to the assignment of refugee families to host country locations, and kindergarteners to schools. Our mechanism allows a planner to first specify a threshold $\bar g$ for the minimum acceptable average outcome score that should be achieved by the assignment. In the refugee matching context, this score corresponds to the probability of employment, whereas in the student assignment context, it corresponds to standardized test scores. The mechanism is a priority mechanism that considers both outcomes and preferences by assigning agents (refugee families and students) based on their preferences, but subject to meeting the planner’s specified threshold. The mechanism is both strategy-proof and constrained efficient in that it always generates a matching that is not Pareto dominated by any other matching that respects the planner’s threshold.

The Irritation Scale as an Instrument to Measure Stress among University Students

2013 ◽  
Vol 16 ◽  
Author(s):  
Enrique Merino-Tejedor ◽  
Joan Boada-Grau ◽  
José C. Sánchez-García ◽  
Pedro Miguel Hontangas-Beltrán
Keyword(s):  
Structural Equation Modeling ◽  
University Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Self Regulation ◽  
Equation Modeling ◽  
International Studies ◽  
Two Factors ◽  
Workplace Setting ◽  
General Self Efficacy

AbstractThe objective of this study was to verify the factor validity and structure of the “Irritation Scale” in a sample of 578 Spanish university students. At the same time, the study aimed to verify the criterion-related validity of the scale, analyzing the results obtained through correlation with other variables, such as general self-efficacy, self-regulation, depression, and certain personality dimensions. The results obtained through the Exploratory Structural Equation Modeling approach (ESEM) using Mplus confirmed the presence of two factors in the Irritation Scale, as observed in other international studies within a workplace setting. The significant correlations obtained between the Irritation Scale and the variables considered in the study confirmed the construct validity and verified that irritation is significantly and positively associated with depression and academic burnout, and is negatively associated with general self-efficacy and self-regulation.

scholarly journals Proposing a model for absorption capacity of technology

2015 ◽  
Vol 4 (1) ◽  
pp. 113 ◽  
Author(s):  
Hossein Gholizadeh ◽  
Ali Bonyadi Naeini ◽  
Alireza Moini
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Developed Countries ◽  
Absorption Capacity ◽  
Equation Modeling ◽  
Technological Gap ◽  
Expert Opinions ◽  
Modeling Analysis ◽  
Effective Dimensions

Absorption capacity of knowledge is the concept which is been introduced in this situation. This phenomenon describes why some countries are in a better condition with a view to technology. Many countries believe that the power to stay in the battle and excel other competitors directly depends on their abilities in taking knowledge. Many countries have used their technological gap with developed countries as an accelerator for improving their absorption capacity. In this study, authors tried to produce a complete definition for absorption capacity through analyzing different research. Then with using expert opinions, a categorization for dimensions of absorption capacity will be prepared by using the structural equation modeling analysis, and finally a model for measuring absorption capacity is suggested. The results show effective dimensions in 5 different section. Studies depict that the most important one is keeping which could be a fundamental for long-term policies of 1404.

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