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Towards Statistical Comparison and Analysis of Models

Önder Babur, Loek Cleophas, Tom Verhoeff, Mark van den Brand
2016 Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development  
In this paper we present a generic approach for model comparison and analysis as an exploratory first step for model recovery.  ...  Most of these involve pairwise comparison, which might work, e.g. for model versioning with a small number of models to consider.  ...  In this paper, we present an initial attempt at model comparison and analysis for large datasets using Information Retrieval (IR) techniques and statistical analysis, as an exploratory first step in model  ... 
doi:10.5220/0005799103610367 dblp:conf/modelsward/BaburCVB16 fatcat:cxyvpg2jevh3pjv4e3o2m5kcy4

Comparison of Teacher Training Programs in terms of Attitudes towards Teaching Profession and Teacher Self-Efficacy Perceptions: A Meta-Analysis

Levent YAKAR, İsmail YELPAZE
2020 International Journal of Assessment Tools in Education  
The aim of this study is to conduct a meta-analysis of studies comparing teacher training programs in terms of attitude towards teaching profession and perception of teacher self-efficacy.  ...  According to the results of the meta-analysis conducted according to the random effect model, teacher candidates in FE have more negative attitude and lower self-efficiency than ones in other teacher training  ...  Acknowledgements This research study was supported by Kahramanmaras Sutcu Imam University as a research project with 2018/2-48 number and extracted from this supported project.  ... 
doi:10.21449/ijate.725701 fatcat:r26grn3cbzhxvclg2ibmiu3ahm

Measuring and improving university students' statistics self-concept: A systematic review

Mehmet Filiz, Erin Early, Allen Thurston, Sarah Miller
2020 International Journal of Educational Research Open  
The results of this review indicated that statistics self-concept is assumed to be a dimension of statistics attitudes.  ...  This systematic review aimed to explore how university students' statistics self-concept can be determined and enhanced.  ...  Acknowledgements An earlier version of this manuscript was a part of the first author's doctoral thesis.  ... 
doi:10.1016/j.ijedro.2020.100020 fatcat:aaqsbhjvrjdlpgqyrovlx4gory

Editors' Note

M. G. Larson
2006 Circulation  
Topics will include analysis of variance and covariance (including repeated-measures designs and multiple-comparisons procedures), multivariable regression modeling (linear and logistic models, further  ...  They will explain and illustrate principles of statistical estimation and inference; they will enumerate assumptions inherent in each statistical model; they will identify methods to check validity of  ...  Topics will include analysis of variance and covariance (including repeated-measures designs and multiple-comparisons procedures), multivariable regression modeling (linear and logistic models, further  ... 
doi:10.1161/circulationaha.106.640789 fatcat:ze3533s3d5ccjkkk63dayqf5ta

Comparison Of Arrival Models In The Context Of Urban Transport

Endri Raço, Shpëtim Leka
2012 Social and Natural Sciences Journal  
In response to this situation created quite often in practice, we make use of statistical analysis methods to make possible comparison and decision making regarding the selection of the most appropriate  ...  The process of modeling a random process requires a careful analysis and a correct interpretation of the behavior of the process.  ...  In response to this situation created quite often in practice, we make use of statistical analysis methods to make possible comparison and decision making regarding the selection of the most appropriate  ... 
doi:10.12955/snsj.v6i0.312 fatcat:lekobxtpp5amnktqoihbv3w4ku

A Confirmatory Factor Analysis of the Structure of Statistics Anxiety Measure: An examination of four alternative models

Shahram Vahedi, Farahman Farrokhi, Hossein Bevrani
2011 Iranian Journal of Psychiatry  
The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Statistics Anxiety Measure (SAM), proposed by Earp.  ...  Confirmatory factor analysis (CFA) was carried out to determine the factor structures of the Persian adaptation of SAM.  ...  Thanks are expressed to all personnel who took part in the research and to those who assisted us at various stages of the study.  ... 
pmid:22952530 pmcid:PMC3395949 fatcat:pmzn6e4ahnakdjh4epv3zlbebq

Research on factors identification in FinTech acceptance: Lithuania context
Finansinių technologijų priėmimo veiksnių įtakos nustatymo tyrimas Lietuvoje

Samanta Graužinienė, Dovilė Kuizinienė
2021 Taikomoji ekonomika: sisteminiai tyrimai / Applied economics: systematic research  
In order to collect the questionnaire data, several models and analyses were used: technology acceptance model (TAM), structural equation modeling, exploratory and confirmatory factor analysis, path analysis  ...  The study results state that perceived usefulness and trust in services have a statistically significant effect on consumers' attitudes towards financial technologies.  ...  analysis (CFA), path analysis, comparison, and summary of the results.  ... 
doi:10.7220/aesr.2335.8742.2020.14.1.3 fatcat:2h3dkmwqivfxblzgjk6itwqxwq

Developing a Structural Model of Assessing Students' Knowledge-Attitudes towards Sustainability

Azmahani Abdul Aziz, Sharipah Norbaini Syed Sheikh, Khairiyah Mohd Yusof, Amirmudin Udin, Jamaludin Mohamad Yatim
2012 Procedia - Social and Behavioral Sciences  
Results showed the structural model was reliable and in agreement to identify the influence of knowledge on attitude towards sustainability among engineering students.  ...  This paper presents results of a study in developing a structural model of assessing engineering students' knowledge-attitude towards sustainability.  ...  Acknowledgements I would like to thank all the respondents for their willingness and time to participate in this study.  ... 
doi:10.1016/j.sbspro.2012.09.683 fatcat:fnjexdvzozcuradxrucbb52mtu

Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms

Ayaz Ahmad, Waqas Ahmad, Krisada Chaiyasarn, Krzysztof Adam Ostrowski, Fahid Aslam, Paulina Zajdel, Panuwat Joyklad
2021 Polymers  
In addition, the sensitivity analysis was also introduced to evaluate the contribution level of the input parameters towards the prediction of CS of GPC.  ...  However, the statistical check of the errors (MAE, MSE, RMSE) and k-fold cross-validation method confirms the high precision of the boosting technique.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/polym13193389 pmid:34641204 fatcat:e7kohgyhrzhg5cbp7giun4esle

Why We (Usually) Don't Have to Worry About Multiple Comparisons

Andrew Gelman, Jennifer Hill, Masanao Yajima
2012 Journal of Research on Educational Effectiveness  
Multilevel models perform partial pooling (shifting estimates toward each other), whereas classical procedures typically keep the centers of intervals stationary, adjusting for multiple comparisons by  ...  Thus, multilevel models address the multiple comparisons problem and also yield more efficient estimates, especially in settings with low group-level variation, which is where multiple comparisons are  ...  ACKNOWLEDGMENTS We thank the participants at the NCEE/IES multiple comparisons workshop for helpful comments and the National Science Foundation, National Institutes of Health, and Columbia University  ... 
doi:10.1080/19345747.2011.618213 fatcat:kjpbo6wbyjcdnfts26bojv44gy

Page 406 of American Society of Civil Engineers. Proceedings of the American Society of Civil Engineers Vol. 107, Issue TE4 [page]

1881 American Society of Civil Engineers. Proceedings of the American Society of Civil Engineers  
It is toward that end that the statistical analysis of this paper is directed. The literature contains many warnings about the statistical nature of the output of simulation models.  ...  —One of the most complex and misunderstood aspects of simulation model validation is the statistical comparison of model estimates with observed data. These comparisons can take many forms.  ... 

THE INFLUENCE OF MODEL BODY SIZE AND RACE ON BODY IMAGE DISSATISFACTION AND ADVERTISING EFFECTIVENESS AMONG INDONESIAN GEN Y FEMALES

Diani Ayudya Maharani, Darene Christina Dearythee, Artha Sejati Ananda
2020 INTERNATIONAL JOURNAL OF MANAGEMENT  
Results reveal that there is a direct and significant influence of the model look on body dissatisfaction, attitudes toward the ads and purchase intention.  ...  which when these factors were combined it would form model appearance that could have negative impacts including body dissatisfaction, attitudes toward the ads and purchase intention.  ...  The measurement model analysis in this study is conducted to examine whether the model really has the required level of validity and reliability.  ... 
doi:10.34218/ijm.11.12.2020.124 fatcat:xvlufxfglff4pdv45fwmeltqbe

Why we (usually) don't have to worry about multiple comparisons [article]

Andrew Gelman, Jennifer Hill, Masanao Yajima
2009 arXiv   pre-print
Multilevel models perform partial pooling (shifting estimates toward each other), whereas classical procedures typically keep the centers of intervals stationary, adjusting for multiple comparisons by  ...  Thus, multilevel models address the multiple comparisons problem and also yield more efficient estimates, especially in settings with low group-level variation, which is where multiple comparisons are  ...  From the Bayesian analysis, 3% of the comparisons are statistically significant, with 96% of these having the correct sign.  ... 
arXiv:0907.2478v1 fatcat:smkow7r5hzh5tc347chskgna7m

Page 4213 of Psychological Abstracts Vol. 86, Issue 11 [page]

1999 Psychological Abstracts  
—Discusses the importance of the analysis of baseline stability for the applied and experimen- tal analysis of behavior.  ...  Yet model comparison tools in structural equation modeling— ? difference tests, information criterion measures, and screening heuristics—have significant limitations.  ... 

Comparison of the Effects of Gender Variable on Attitudes Towards the Teaching Profession by Random and Fixed Effects Model: Meta-Analysis

Milan Kubiatko
2014 Educational Process: International Journal  
Effect size of the gender in relation with the attitude towards the teaching profession is found to be 0.301 for the fixed effect model, and 0.304 for the random effect model.  ...  The aim of this research is to determine the impact of gender variable on the teaching profession via meta-analysis method. Effect models specified for meta-analysis have been compared.  ...  Statistical Models in Meta-Analysis Subjects of the meta-analysis study are determined and a qualitative analysis performed, and then the results are statistically combined.  ... 
doi:10.12973/edupij.2014.312.4 fatcat:ogh6aofkjvet5gpln4phdpvspa
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