Effect Size Values Research Articles

Evaluation of measurement properties of the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) instrument among Chinese overweight and obese populations

PurposeTo evaluate measurement properties of the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) instrument among Chinese overweight and obese populations.MethodsA representative sample of Chinese overweight and obese populations was recruited stratified by age, sex, residence and body mass index (BMI). Social-demographic characteristics, self-reported EQ-5D-5 L and IWQOL-Lite responses were collected through the online survey. Test-retest reliability was assessed using intraclass correlation coefficient (ICC) among a subgroup of the total sample. Structural validity was evaluated by confirmatory factor analysis (CFA). Convergent validity and known-group validity were examined using Spearman’s rank correlation and effect sizes, respectively.ResultsA total of 1000 respondents (48% female; mean age: 51.7 years; mean BMI: 27.4) were included in this study. Ceiling and floor effects of the IWQOL-Lite were 5.4% and 0.67%, respectively. The ICC between the two tests was 0.992 for IWQOL-Lite among the subgroup (N = 150). The results of the CFA suggested that the five-factor model had an acceptable structural validity (GFI = 0.894, CFI = 0.960, TLI = 0.957, RMSEA = 0.054 and SRMR = 0.033). The Spearman’s rank correlation (range: 0.413–0.611) indicated a satisfactory convergent validity. The effect sizes values of IWQOL-Lite total score and different dimensions were moderate.ConclusionsThe IWQOL-Lite has been demonstrated to have satisfactory validity and reliability in measuring the HRQoL of Chinese overweight and obese populations. Further research is needed to confirm the sensitivity and responsiveness.

Situational and Dispositional Achievement Goals and Measures of Sport Performance: A Systematic Review with a Meta-Analysis

The purposes of this systematic review (PROSPERO ID: CRD42024510614, no funding source) were to quantify relationships between situational and dispositional dichotomous achievement goals and sport performance and explore potential relationship moderators. Published studies that reported at least one situational or dispositional achievement goal and a performance score were included. Studies without performance scores or based in a non-sport context were excluded. Information sources consisted of studies found in relevant published meta-analyses and EBSCOhost databases (finalized September 2024). The following statistics were conducted to assess the risk of bias: class-fail-safe n, Orwin’s fail-safe n, and funnel plots with trim and fill estimates. The summary statistics were r and d. Thirty studies from 1994 to 2024 met all inclusion criteria with 8708 participants from Europe, Asia, North America, and Oceania. The majority of samples were non-elite male youths and adolescents. The random-effects relationships (r) between task climate, 0.20 [0.14, 0.25], task orientation, 0.17 [0.12, 0.23], ego orientation, 0.09 [0.03, 0.16], and sport performance were small and significantly different (p < 0.05) from zero, while the ego motivational climate relationship was not, −0.00 [−0.48, 0.05]. The random-effects standard differences in means (d) for both the task orientation, 0.08 [0.02, 0.14], and ego orientation, 0.11 [−0.05, 0.26] were minimal in meaningfulness. Mixed-effects moderator analyses resulted in the following significant (p < 0.05) sub-group differences: subjective compared to objective performance measures (task orientation), elite compared to non-elite samples (task climate), and athlete-completed compared to coach-completed performance measures and performance records (task orientation). Finding only 30 studies meeting the inclusion criteria, which limited sub-group samples for moderation analyses, was the main limitation. Despite this limitation, AGT provides athletes and practitioners performance enhancement strategies. However, caution is warranted regarding relationship expectations given the small mean effect size values and the true prediction interval ranging from negative to positive, perhaps as a result of the heterogeneous samples and performance measures. A clear line of future research, considering the reviewed studies, with elite athletes is needed to verify the performance benefits of the task climate and ego orientation as well as the use of the ego goal orientation in selection decisions.

Meta-Analytic Reliability Generalization Study of Perceived Stress Scale In Türkiye Sample

The aim of the study is to examine the meta-analytic reliability generalization of the 14, 10, and 8-item forms of the Perceived Stress Scale, developed by Cohen et al. in 1983, for theses produced in Turkey. For this purpose, how different moderator variables affect the reliability coefficients and publication bias were also examined 81 Cronbach Alpha coefficients from 78 studies selected in accordance with the established criteria were included in the meta-analysis. Reliability generalization was used in the analysis of the data. Analyzes were made with the random effects model using the coefficient values converted from the Bonett method. In the study, the effect size value was found to be .82 (95% CI: .80, .83), and it was concluded that the sample type (α= .81) and the study area (α= .81) moderator variables had a statistically significant effect on the reliability estimation in terms of heterogeneity of effect sizes. This revealed that these two moderator variables affected the estimations of the reliability coefficients. In addition, it has been observed that other moderator variables such as age, gender, and the number of items in the scale are not sources of heterogeneity and have no effect on reliability estimation. From this, it was deduced that the scale works well enough to generalize to different situations with different item numbers. Finally, according to the results of the analysis for the determination of publication bias, it was seen that there was no publication bias in the study.

Meta Analysis of the Effect of Applying the Problem Based Learning Model in Physics Learning to Improve Students' Ability to Solve Problems

The meta-analysis method in this research was used to determine how problem-based learning activities influence problem-solving abilities. Analysis is carried out based on material units and levels/classes. Based on the results of the analysis, it was found that the mechanical material unit had an effect size of 0.83 in the high category, for the electric magnetic material unit it had an effect size value of 1.12 in the very high category, for the optical wave material unit it had an effect size of 1.66 with very high category, for thermodynamic material units it has an effect size of 1.41 in the very high category, and for fluid material units it has an effect size of 1.56 in the very high category. Then for class X it has an effect size of 1.19 in the very high category, for class XI it has an effect size of 1.35 in the very high category and for class In conclusion, for the optical wave material unit, it has an effect size of 1.81 which has a very high influence on students' ability to solve problems and for class XI level it has an effect size of 1.35 which has a very high influence on students' ability to solve problems.

Improving Students’ Critical Thinking Skills Through The Use Of Pbl-Base Google Sites Learning Media And Review Students’ Collaboration Skills

Human Resources (HR) must have the 4Cs (communication, collaboration, critical thinking, and creativity) to be educated in the 21st century. Initial research shows that students' ability to collaborate and think critically still needs to be improved. This research aims to determine the use of PBL-Google Sites learning media to improve critical thinking skills and review students' collaboration skills. The research method uses pre-experiment with a one-group pretest-posttest design. The research sample comprised 63 students in classes 7A and 7B of SMP Negeri 11 Yogyakarta. The instruments used are tests and non-tests. The test instrument uses pretest and posttest critical thinking skills. The non-test instrument uses observation of collaboration skills. The data analysis results show the influence of using Google Sites PBL learning media on students' critical thinking abilities. Judging from the results of the Wilcoxon test, the Sig (2-tailed) value is <0.05, namely 0.000, and there is an effect size value of -0.616, which shows that the magnitude of the effect is in a large category. Students' collaborative skills obtained an average score of 75.14, which is in the good category. Based on the results of data analysis, the Google Sites PBL model learning media can improve students’ critical thinking skills and determine students' collaboration skills.

Developing Physical Education Curricula Within the Framework of Digital Transformation to Achieve Sustainable Development

The importance of the study is due to improving the quality of learning and enhancing interaction and participation in the educational process. Achieving personalized and effective learning in the field of physical education. Enhancing self-learning and enabling students to better discover and develop their mathematical skills. The study aims: The goal of developing physical education curricula in the era of “artificial intelligence” is to improve the learning process and enhance students’ sports performance. Analysis of individual performance through the use of advanced technology and artificial intelligence. Study methodology: The researcher used the descriptive survey method and the experimental method due to its suitability to the nature of the study. Study design: The study was designed by collecting data through questionnaires in a way that allows for the collection of appropriate data to test the hypothesis. Data collection methods: Through interviews, questionnaires are distributed to specialists in developing curricula and methods of teaching physical education to most physical education teachers and in the Department of Curricula and Methods of Teaching Physical Education and in Arab and foreign countries. Their number is (80) experts in curricula and methods of teaching physical education. Communication was made via Academic communication sites ((Research Gate - Academy Gate - Google Scholar - sci space ai) The conclusions were that there were statistically significant differences between the means in favor of the experimental group. The effect size values were high, which indicates a significant positive impact of the smart system in improving the scientific and methodological nature of physical education. This indicates the effectiveness of using smart teaching systems in teaching physical education. It can be concluded that the effectiveness of using modern curriculum design methods in improving the curriculum design skills of students of the College of Physical Education. There is a need to develop similar training programs to develop the curriculum design skills of teachers and curriculum designers. The recommendations were: Adopting smart teaching systems and multimedia in teaching physical education courses due to their effectiveness Developing training programs to develop curriculum design skills among teachers and curriculum designers in physical education colleges. Reducing the number of students in classes and training teachers on an ongoing basis. Involving faculty members in developing physical education curricula and training teaching assistants. Paying attention to the continuous professional development of physical education teachers. Conducting further studies to measure the effectiveness of other strategies in improving the quality of teaching physical education courses

Evaluating the Effectiveness of Fiber Reinforced Polymer (FRP) in Structural Strengthening: A Meta-analysis

This study aims to evaluate the effectiveness of Fiber Reinforced Polymer in strengthening structures. This research is a type of meta-analysis research. The data source comes from 9 studies sourced from google scholar, DOAJ, ProQuest and Fronteins published in 2023-2024. Data selection techniques through the PRISMA method in 2020. The data analysis in this study is to calculate the effect size value with the help of the STATA application. The results of this study concluded that the application of Fiber Reinforced Polymer had a positive effect on the strengthening of the structure with an effect size value = 0.813 with a high effect size category. This finding explains that the application of fiber reinforced polymer is effective in strengthening concrete structures in civil engineering.

META-ANALYSIS: THE IMPROVEMENT NUMERACY LITERACY THROUGH PROBLEM BASED LEARNING

Numeracy literacy is a very important skill in the 21st century. However, the numeracy literacy rate in Indonesia is still low, this can be seen from the results of the PISA test and various observational studies in schools. One way to overcome this problem is by applying the Problem Based Learning (PBL) model. The aim of this research is to determine the improvement numeracy literacy through the PBL model. The research method used is meta analysis with a sequence of preparation, implementation and analysis stages. The analyzed articles were 10 articles, with the criteria of each article discussing the PBL model for numeracy literacy, and there was information about the mean and standard deviation. The results obtained are that students' numeracy literacy through the PBL model has increased, where . It was concluded that there was a significant difference between the pre-test and post-test literacy numeracy scores before and after the PBL model. The average pre-test and post-test scores are 62.54 and 77.92 respectively, numeracy literacy in the post-test is higher than in the pre-test, so it can be concluded that the PBL model can increase students' numeracy literacy. The articles analyzed have similarities and differences in results and views because many aspects are applied. There were 2 different studies found, both of which received an Effect Size (ES) value of 0.09 and were categorized as small, so further research related to PBL on numeracy literacy, especially at the elementary school level, considering that in this meta analysis only used 1 data with the elementary school level whose results were not significant.

Meta-Analysis of the Effect of Discovery Learning Model Assisted by PhET Simulation on Students' Learning Outcomes

This study aims to see the effectiveness of the application of discovery learning model assisted by PhET simulation on student learning outcomes. The research method used is meta-analysis by calculating the effect size (ES) of each relevant article through several stages, namely formulating problems, collecting articles, grouping articles and calculating the effect size of each article. The results showed that there were 3 groupings of articles, namely based on the level of education, subjects and grade levels at the junior and senior high school levels. Effect Size based on the level of education obtained at the junior high school level was 1.517 with a very high category, and high school was 1.034 with a high category. The second grouping is based on subjects. Effect size based on subjects obtained in science subjects amounted to 1.517 with a very high category and for physics subjects amounted to 1.034 with a high category. The third grouping is based on grade level at the junior and senior high school levels. Effect size based on grade level for junior high school is obtained in grade VII with an effect size value of 2.61 with a very high category and for grade level at the high school level is obtained in grade X with an effect size value of 1.287 with a very high category. Based on meta-analysis, it is found that the discovery learning model assisted by PhET simulation can improve student learning outcomes.

The FeetMe® Insoles System: Repeatability, Standard Error of Measure, and Responsiveness.

Three-dimensional motion analysis using optoelectronic cameras and force platforms is typically used to quantify gait disorders. However, these systems have various limitations, particularly when assessing patients in an ecological environment. To address these limitations, several wearable devices have been developed. However, few studies have reported metrological information regarding their repeatability and sensitivity to change. A healthy adult performed 6 min walking tests with FeetMe® system insoles under different walking conditions overground and on a treadmill. The standard error of measurement (SEM), the minimum detectable differences (MDDs), and the effect size (ES) were calculated for spatio-temporal parameters, and the ground reaction force was calculated from the 16,000 steps recorded. SEM values were below 3.9% for the ground reaction force and below 6.8% for spatio-temporal parameters. ES values were predominantly high, with 72.9% of cases between overground and treadmill conditions with induced asymmetry, and 64.5% of cases between treadmill conditions with and without induced asymmetry exhibiting an ES greater than 1.2. The minimum detectable differences ranged from 4.5% to 10.7% for ground reaction forces and 2.1% to 18.9% for spatio-temporal parameters. Our study demonstrated that the FeetMe® system is a reliable solution. The sensitivity to change showed that these instrumented insoles can effectively reflect patient asymmetry and progress.

Riparian plant community structure and assembly processes differed by variations in riverbank curvatures: implications for restoring habitats along the Three Gorges Reservoir

Abstract A meandering riverbank plays a vital role in maintaining natural river ecosystems, providing habitats for riparian vegetation. However, dams have significantly altered riverbank shapes. To restore the riparian ecosystems, it is imperative to understand how different riverbank curvatures influence them. This study aims to uncover the ecological impacts of riverbank curvature on the structure and assembly process of plant communities in the riparian zone of the Yangtze River, regulated by the Three Gorges Dam (TGD) in China. We categorized the riparian zones into four types: cove, lobe, wavy, and linear shapes. We documented the composition and diversity of riparian plant communities. Our findings revealed that wavy and cove riverbanks exhibited greater species diversity (with Shannon-Wiener diversity index values 1.5 times higher) compared to communities along linear riverbanks. Furthermore, the analysis of functional traits indicated that wavy riverbanks promoted the differentiation of plant functional traits, thus enhancing ecosystem functions, with functional dispersion index (FDis) values 1.3 times higher than those of linear riverbanks. Significant variations in the assembly of riparian communities were also observed among different riverbanks, with standardized effect size (SES) values indicating a higher degree of niche differentiation in cove riverbanks (SES = 0.4) compared to linear riverbanks (SES = -0.6). These results highlight the ecological importance of diverse riverbank curvatures in influencing the diversity, structure, and assembly of riparian communities along waterway. In conclusion, this study underscores the necessity of maintaining or restoring various natural morphological curvatures when rehabilitating riparian communities along rivers impacted by human activities.

Effectiveness of using Balanced Scorecard in Management Accounting: Meta-analysis

This study aims to evaluate the effectiveness of the use of Balanced Scorecard (BSC) in management accounting through a meta-analysis approach. The Balanced Scorecard is a strategic tool used to measure a company's performance from various perspectives, including finance, customers, internal business processes, and learning and growth. This meta-analysis integrates the results of previous research to provide a comprehensive picture of how BSC affects managerial and organizational performance. The results show that the implementation of BSC significantly contributes to increasing management effectiveness, especially in aligning the company's strategy with operational goals, improving the quality of decision-making, and strengthening managerial accountability with an effect size value of 1,042 (high effect size category). Nonetheless, this study also identifies several factors that can affect the successful implementation of BSC, such as organizational culture, management commitment, and information system quality. These findings have important implications for practitioners and academics in evaluating the benefits and challenges of BSC in the context of management accounting.

The Impact of Machine Learning Technology on E-Learning Platforms on Student Learning Behavior

This study aims to determine the influence of Machine Learning Technology on the E-Learning Platform on student learning behavior. This research is a type of meta-analysis research. The data source comes from 10 national journals indexed by SINTA published in 2022-2024. Deep collection technique through direct observation. The process of searching for virgin sources through google scholar, ERIC, and IEEE. Data analysis is statistical data analysis by calculating the effect size value with the help of the JSAP application. The results of the study concluded that the average effect size value was 0.791 in the medium effect size category. These findings explain that there is a significant influence of machine learning technology on e-learning platforms on student learning behavior.

The Influence of the Problem Posing Learning Model on Students' Mathematical Problem Solving Abilities in One-Variable Linear Materials

The primary objective of this study is to investigate the impact of the problem posing learning model on the mathematical problem solving abilities of seventh-grade students in the topic of one-variable linear equations. The study aims to determine the extent to which the problem posing learning model influences students' mathematical problem solving abilities at SMPN 2 Gading. Additionally, the study seeks to examine the students' learning activities during the implementation of the problem posing learning model in the context of one-variable linear equations, and to evaluate the effectiveness of implementing the problem posing learning model for seventh-grade students at SMPN 2 Gading. The sampling technique employed in this study is purposive sampling with a simple random sampling approach. The data collection involves essay questions comprising three items to assess students' mathematical problem solving abilities. These questions were pre-tested for validity, reliability, distinguishing power, and level of difficulty. The findings of the research indicate a significant influence of the problem posing learning model on the mathematical problem solving abilities of seventh-grade students at SMPN 2 Gading. The effect size value is reported to be 4.202, indicating a substantial impact. Moreover, the study observes a change in student activities during the learning process, with an increase in student engagement, particularly during the second meeting. The implementation of the problem posing learning model for seventh-grade students at SMPN 2 Gading is reported to have proceeded smoothly from the first to the last meeting.

The Impact of Eight Weeks of Aquatic Plyometric Training on the Explosive and Agility Capabilities of Swimmers

The objective of this study is to examine the impact of eight weeks of aquatic plyometric training on the explosive and agility abilities of swimmers. The following keywords were used: The objective of this study was to ascertain the impact of aquatic plyometric training (APT) on explosive power and agility. A training program incorporating APT was implemented on a sample of 20 swimmers. The findings revealed that utilizing APT at a depth up to the pelvis for 8 weeks and 3 times a week led to statistically significant differences and improvements in explosive power and agility. The effect size values for the two variables were 0.97 and 0.97, respectively. The researcher recommended the use of APT as a viable alternative to plyometric exercises on hard ground for enhancing explosive power and agility, while also reducing the risk of muscle and tendon injuries.

Meta-analytical evidence for frequency-dependent selection across the tree of life.

Explaining the maintenance of genetic variation in fitness-related traits within populations is a fundamental challenge in ecology and evolutionary biology. Frequency-dependent selection (FDS) is one mechanism that can maintain such variation, especially when selection favours rare variants (negative FDS). However, our general knowledge about the occurrence of FDS, its strength and direction remain fragmented, limiting general inferences about this important evolutionary process. We systematically reviewed the published literature on FDS and assembled a database of 747 effect sizes from 101 studies to analyse the occurrence, strength, and direction of FDS, and the factors that could explain heterogeneity in FDS. Using a meta-analysis, we found that overall, FDS is more commonly negative, although not significantly when accounting for phylogeny. An analysis of absolute values of effect sizes, however, revealed the widespread occurrence of modest FDS. However, negative FDS was only significant in laboratory experiments and non-significant in mesocosms and field-based studies. Moreover, negative FDS was stronger in studies measuring fecundity and involving resource competition over studies using other fitness components or focused on other ecological interactions. Our study unveils key general patterns of FDS and points in future promising research directions that can help us understand a long-standing fundamental problem in evolutionary biology and its consequences for demography and ecological dynamics.

A new strategy model for reducing industrial pollutants using structural equation modeling (SEM): a case study.

Economic developments over recent decades have led to environmental issues. Industries have been introduced among the main causes of environmental degradation. From this perspective, this research work identifies strategies for reducing industrial pollutants. In the first part, the factors concerned and their impacts on mitigating industrial pollutants are identified. Then, the initial model is developed. The case examined here is Mashhad Industrial Zone, Mashhad, Iran, wherein the questionnaire was distributed. Given the non-normal data in this study, the initial model fit is further measured by structural equation modeling (SEM), using SmartPLS. Upon the model fit confirmation, the research hypotheses, i.e., the factors affecting the reduction of industrial pollutants, are assessed. The results indicated that, among the variables examined, seven components can significantly prevent industrial pollutants. In view of this, green industry status quo with the effect size of 0.3 has the greatest possible impact on diminishing industrial pollutants. The next uppermost strategies for this purpose are government incentives, management commitment, green product marketing, competitive strategies, government oversight, and political issues, with the effect size values of 0.21, 0.20, 0.19, 0.15, 0.12, and 0.09, respectively. Financial issues and government regulations are not directly linked with lowering pollutants emanating from industries.

Augmented Reality in Natural Sciences and Biology Teaching: Systematic Literature Review and Meta-Analysis

This article presents the results of a systematic literature review followed by a meta-analysis of studies on the use of Augmented Reality (AR) in the teaching and learning of Natural Sciences and Biology, among primary and secondary school students. The variables considered were the effects on student learning and motivation, as well as other variables like students understanding and students’ perception of the cognitive load. The teaching contexts and strategies used in association with AR were also considered. The PRISMA methodology was used in articles published between 2010 and 2023, in EBSCO, Science Direct, Scopus, Springer Link, Taylor & Francis and Web of Science databases. Seven hundred and twenty-one articles (721) were found, which, after applying the inclusion and exclusion criteria, were reduced to 15. The results showed that, in most studies, AR associated with certain teaching strategies and using a quasi-experimental research methodology produced better results in learning and student motivation and other variables such as student understanding and memorization (from Bloom's taxonomy), and perception of cognitive load. The overall analysis of the data allowed us to observe a strong effect size value (d = 1.13 [0.39;1.86]) in favour of the experimental group regarding learning and a moderate effect on motivation when using AR (d = 0.52 [0.30;0.74]). The same occurred with other variables studied where students obtained better results, which translated into a small or medium effect size. For example, in the perception of cognitive load, the effect size was d= 0.73. Doi: 10.28991/ESJ-2024-08-04-025 Full Text: PDF

Pengembangan Media Video Animasi Berbasis Powtoon untuk Meningkatkan Critical Thinking Peserta Didik Sekolah Dasar

This research aims to develop Powtoon-based animation videos to improve students' critical thinking. The research method uses ADDIE which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. The research sample was class IV A as the experimental class and IV B as the control class. The results of the study include the feasibility, practicality, and effectiveness of the product. The feasibility of the product is considered valid based on the validation results, with an average Aiken index of 0.808 for material, 0.958 for language, and 0.608 for media. The practicality of the product was seen from the responses of educators (90%) and students (89%), both of which were interpreted as very practical. The effectiveness of the product was measured through a comparison of the improvement of critical thinking skills between the experimental and control classes. The results show that the experimental class has an effect size value of 0.798, which is interpreted as high. This proves that the use of Powtoon-based animated videos significantly improves critical thinking skills compared to those who do not use the product.

Open-Ended Approach for Critical Thinking Skills in Mathematics Education: A Meta-Analysis

There have been numerous research on developing students’ critical thinking skills through an open-ended approach in mathematics education show conflicting results. Some research results implied a strong effect; others range from moderate to modest effect. This research aims to summarize and predict the implementation of an open-ended approach to critical thinking skills in mathematics education over the last five years. This research utilized a meta-analysis using the PICOS (Population, Interventions, Comparator, Outcomes, and Study Design) approach. The sample used in this research is studies published in the form of articles and proceedings as well as theses and dissertations. The databases are sourced from Google Scholar, Crossref, and Semantic Science using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) method, which includes 14 primary studies found during 2018-2023 in Indonesia. The results are the implementations of an open-ended approach to improve critical thinking skills in mathematics education, show an average of 1.44, which is included in the high category. Factors that influence the heterogeneity of effect sizes are study characteristics, such as sample size, year of publication, level of education, demographics, and publication type. The characteristics of the research that results in a large effect size value are an open-ended approach implemented in elementary schools, studies with a sample size of more than 30, studies that are published in 2018 and in journals, and implementation of the approach in regencies.