Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Facts & Figures - Transactions on Data Analysis in Social Science
Authors 352
Years (Volumes) 8
Total Article Views 46,085
Articles Published 162
Acceptance Rate 39%
Avg. Time to Accept 15 days

Transactions on Data Analysis in Social Science (TDAS) is an international, peer-reviewed, and open-access scholarly journal dedicated to advancing research at the intersection of data analysis and social science. The journal aims to provide a high-quality platform for the dissemination of original research that explores theoretical, methodological, and applied innovations in data-driven social science research.

TDAS publishes cutting-edge studies encompassing foundational theories, analytical frameworks, computational methods, models, tools, and real-world applications that contribute to a deeper understanding of complex social phenomena through data analysis. The journal encourages interdisciplinary approaches and welcomes contributions that bridge quantitative and qualitative methodologies, as well as traditional and emerging data analytics techniques.

The scope of the journal includes, but is not limited to, research in Communication Sciences, Economics, Management, Psychology, Law, Education, Political Science, Sociology, and Administrative Sciences. By fostering dialogue across disciplines, TDAS seeks to promote rigorous, transparent, and impactful research that supports evidence-based decision-making and advances knowledge in social science domains.

Keywords Cloud

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  • Artificial intelligence
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  • Key Performance Indicators (KPIs)
  • Operational efficiency
  • TOPSIS
  • Metaheuristic Algorithms
  • Motivation
  • Knowledge Management
  • Neural Network
  • Stock Return
  • Support Vector Machine
  • VO2max
  • E-learning
  • strategic management
  • Artificial Intelligence (AI)
  • Environmental performance
  • Attitude
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  • airline industry
  • Fuzzy Analytic Hierarchy Process
  • Land-Based Exercises
  • Employees
  • Development
  • Taguchi method
  • financial performance
  • structural equation modeling
  • Disability
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  • pricing
  • Faculty Members
  • breast cancer
  • anxiety
  • Non-specific chronic low back pain
  • Customer Satisfaction
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  • Aquatic exercises
  • panel data
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  • autism
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  • Muscle Endurance
  • Electronic banking
  • FAHP
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  • Diabetes
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  • technology
  • Psychological Empowerment
  • Machine Learning
  • Genetic Algorithm
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  • Iran
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  • Miniaturization of The University and Organization of Manpower
  • Phobia
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  • Agent-based model
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  • Gravitational search algorithm (GSA)
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  • export performance
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  • Elementary School Students
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  • Schwarz Information Criterion (SIC)
  • C5.4 Decision Tree
  • financial crisis
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  • Work Life Quality, Employees&rsquo
  • Financial Reporting
  • Randsip\'s Creativity
  • Non-Cyclic Preventive Maintenance Planning
  • ANOVA
  • goal setting
  • Patellar Malalignment
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  • Acupuncture
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  • cultural intelligence
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  • mindfulness training
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  • CHAID
  • Times Higher Education Ranking System
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  • Sugarcane Development Holding Company
  • Contracting and Consulting Companies
  • project quality management
  • Banking System Health
  • Fuzzy Delphi
  • Social Networks
  • Retailing
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  • behavioral disorders
  • Performance Evaluation Criteria
  • Participation
  • Demographic Characteristics
  • Functional Training
  • Enrich Questionnaire
  • Factory risks
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  • Innovative Technologies
  • demographics
  • Loser Portfolio
  • Brand Experience
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  • Posterior Knee Position
  • principle of specificity
  • Athletic Performance
  • Parents of Children with Learning Disabilities
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  • Corporate Credit Ratings
  • life cycle
  • Segmented solar chimney
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  • Solar energy
  • Empowerment
  • Particle Swarm Optimization Algorithm
  • Optimization model