APPLIED MEASUREMENT IN EDUCATION

Scope & Guideline

Empowering educators with cutting-edge assessment insights.

Introduction

Welcome to your portal for understanding APPLIED MEASUREMENT IN EDUCATION, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0895-7347
PublisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1988 to 2024
AbbreviationAPPL MEAS EDUC / Appl. Meas. Educ.
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 'Applied Measurement in Education' serves as a vital platform for disseminating research that focuses on the methodologies and practices of educational measurement. Its core areas reflect a commitment to advancing the understanding of assessment tools, techniques, and their implications in educational settings.
  1. Educational Measurement Techniques:
    Focuses on the development, validation, and application of various measurement techniques, including Item Response Theory (IRT), Rasch models, and Bayesian statistics.
  2. Assessment Fairness and Equity:
    Explores issues related to fairness in assessments, including Differential Item Functioning (DIF), cultural relevance, and the impact of socioeconomic factors on test performance.
  3. Innovations in Testing Methods:
    Investigates new methodologies in educational assessment, such as adaptive testing, automated scoring systems, and the use of technology in testing environments.
  4. Validity and Reliability Studies:
    Emphasizes the importance of validity and reliability in test score interpretation, including empirical approaches to establishing measurement quality.
  5. Cognitive and Affective Processes in Assessment:
    Examines the cognitive and emotional factors influencing test-taking behavior and performance, addressing issues such as disengagement and motivation.
Recent publications in 'Applied Measurement in Education' highlight emerging themes that reflect the journal's responsiveness to contemporary challenges and advancements in the field of educational measurement.
  1. Culturally Responsive Assessment Practices:
    An increasing focus on developing assessments that are culturally relevant and equitable, addressing the need for inclusivity in educational measurement.
  2. Technology-Enhanced Assessment:
    The rise of automated scoring systems and computer-based assessments is a significant trend, reflecting the integration of technology in educational measurement practices.
  3. Adaptive and Personalized Testing:
    Research exploring the benefits and challenges of adaptive testing methodologies is gaining traction, emphasizing the need for assessments that adapt to individual learner characteristics.
  4. Social Justice in Assessment:
    A growing emphasis on the role of assessments in promoting social justice and addressing systemic inequities in education is emerging as a key theme.
  5. Engagement and Motivation in Testing:
    There is an increasing interest in understanding how student engagement and motivation affect assessment outcomes, leading to innovative approaches to enhance test-taking experiences.

Declining or Waning

While the journal continues to evolve, certain themes appear to be losing prominence, reflecting shifts in research priorities and methodologies within the field of educational measurement.
  1. Traditional Testing Methods:
    There is a noticeable decrease in research focusing on conventional testing methods, such as paper-and-pencil tests, as interest shifts towards more innovative and technology-enhanced assessment approaches.
  2. Generalizability Theory Applications:
    Research exploring traditional applications of Generalizability Theory is becoming less frequent, possibly due to the increasing focus on more sophisticated statistical models and frameworks for understanding measurement reliability.
  3. Static Assessment Models:
    The emphasis on static models of assessment, which do not account for the dynamic nature of learning and assessment contexts, is declining in favor of more adaptive and responsive assessment strategies.

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