Journal of Quantitative Review Theory and Computation
Aims and Scopes
The Journal of Quantitative Review Theory and Computation (JQRTC) appears to focus on quantitative research across a broad spectrum of disciplines, emphasizing statistical modeling and computation. Its scope potentially includes, but isn’t limited to, the areas outlined below.
Business Management
The journal could explore quantitative approaches to various business management topics. This includes, but is not limited to:
Management Control Systems and Strategy: Analyzing the relationship between management control systems and strategy using quantitative research methods, including survey evidence, interviews, and archival data.
Best Practices in Quantitative Management Research: Encouraging the use of best practices in quantitative management research, addressing issues such as variable measurement, causality, endogeneity, and interaction effects.
Ethics in Quantitative Research: Investigating the ethical considerations in quantitative research within business, ensuring rigor and relevance in research practices
Social Sciences
The journal’s scope extends to quantitative research in social science disciplines, potentially covering:
- Interdisciplinary Studies: Applying quantitative methods to interdisciplinary studies within the social sciences, incorporating insights from various fields.
Policy Analysis: Using statistical modeling to analyze social policies and their impact
Humanities
While less traditional, quantitative methods can offer unique insights into the humanities: Digital Humanities: Analyzing large datasets of texts or historical records using statistical techniques.
Computational Linguistics: Employing quantitative methods to study language and literature.
Information and Technology Management
The journal could address quantitative research related to information management, including:
Data Analytics: Focusing on the analysis of large datasets using statistical software and modeling techniques.
Information Systems: Studying the impact of information systems on organizations and society through quantitative analysis.
Statistical Software and Modeling
A core element of the journal’s scope is the application of statistical software and modeling techniques:
Structural Equation Modeling (SEM): Utilizing SEM with software like ADANCO, SPSS-AMOS, WarpPLS and SmartPLS etc., to test complex relationships between variables.
Advanced Statistical Methods: Covering advanced methods for ensuring the reliability and validity of research findings.