Measurement-Interdisciplinary Research and Perspectives

Scope & Guideline

Enriching Knowledge Through Interdisciplinary Perspectives

Introduction

Immerse yourself in the scholarly insights of Measurement-Interdisciplinary Research and Perspectives with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1536-6367
PublisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2010 to 2024
AbbreviationMEAS-INTERDISCIP RES / Meas.-Interdiscip. Res. Perspect.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND

Aims and Scopes

The journal 'Measurement-Interdisciplinary Research and Perspectives' focuses on advancing the science of measurement across various disciplines, emphasizing innovative methodologies and applications that enhance measurement practices.
  1. Measurement Theory and Methodology:
    The journal explores various measurement theories, including classical test theory, item response theory, and generalizability theory, aiming to refine and innovate measurement methodologies.
  2. Interdisciplinary Applications:
    Research published in the journal spans multiple fields such as education, psychology, healthcare, and social sciences, promoting interdisciplinary approaches to measurement.
  3. Quantitative Data Analysis:
    It emphasizes the use of advanced statistical techniques and data analysis methods, including machine learning, Bayesian analysis, and Monte Carlo simulations, to enhance measurement precision.
  4. Psychometric Evaluation:
    The journal is dedicated to psychometric evaluations focusing on scale reliability, validity, and the assessment of measurement models, contributing to the field of psychological measurement.
  5. Innovative Measurement Tools:
    Research often includes the development and validation of new measurement instruments, scales, and assessment tools that address contemporary measurement challenges.
Recent publications highlight several emerging themes that reflect current trends in measurement research, indicating a dynamic evolution in the field.
  1. Machine Learning in Measurement:
    There is a growing trend towards integrating machine learning techniques for data classification and prediction in measurement contexts, showcasing the relevance of artificial intelligence in enhancing measurement accuracy.
  2. Cross-Cultural Measurement:
    Emerging research is increasingly focusing on cross-cultural measurement issues, addressing the challenges of cultural differences in psychometric assessments and promoting global applicability of measurement tools.
  3. Digital and Online Assessment Tools:
    The rise of digital platforms for assessment and measurement, particularly in the context of online learning environments, indicates a shift towards innovative digital solutions for educational measurement.
  4. Complex Data Modeling:
    An increasing number of studies are utilizing complex data modeling approaches, such as structural equation modeling and network analysis, to better understand measurement relationships and outcomes.
  5. Social Entrepreneurship and Measurement:
    There is a notable increase in research examining the measurement of social entrepreneurship outcomes, reflecting a growing interest in assessing impact within the social sector.

Declining or Waning

While the journal has a broad focus, certain themes have shown a decline in prominence over recent years, reflecting shifts in research interests and methodologies.
  1. Traditional Measurement Techniques:
    There has been a noticeable decline in papers focusing on traditional measurement techniques, as researchers increasingly gravitate towards more innovative and technology-driven approaches.
  2. Basic Statistical Methods:
    The frequency of publications centered on basic statistical analyses has waned, indicating a shift towards more complex and sophisticated analytical methods in measurement research.
  3. Single-Domain Focus Studies:
    Studies that concentrate solely on a single domain of measurement without interdisciplinary perspectives are becoming less common, as the journal encourages broader, cross-disciplinary research.
  4. Qualitative Measurement Approaches:
    Research employing qualitative measurement methods has diminished, possibly due to the journal's strong emphasis on quantitative and psychometric methodologies.

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