In content analysis and similar methods, data are typically generated by trained human observers who record or transcribe textual, pictorial, or audible matter in terms suitable for analysis. Conclusions from such data can be trusted only after demonstrating their reliability. Unfortunately, the content analysis literature is full of proposals for so-called reliability coefficients, leaving investigators…
Communication Methods and Measures Template
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About the Communication Methods and Measures format
Communication Methods and Measures is a peer-reviewed journal published by Taylor & Francis, covering Social Media and Politics, Computational and Text Analysis Methods, Media Influence and Health.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Communication Methods and Measures 12 (3): 45–58.
Formats any DOI in Communication Methods and Measures style. No sign-up. |
| Publishes research in | Social Media and Politics Computational and Text Analysis Methods Media Influence and Health Media Studies and Communication Opinion Dynamics and Social Influence |
| ISSN | 1931-2458 |
| Citation impact (2-yr) | 3.45 |
| h-index | 64 |
| i10-index | 226 |
| Total citations | 24,975 |
| Top institutions publishing here | The Ohio State University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Communication Methods and Measures per year
Citation impact of Communication Methods and Measures by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Communication Methods and Measures
Cronbach’s alpha (α) is a widely-used measure of reliability used to quantify the amount of random measurement error that exists in a sum score or average generated by a multi-item measurement scale. Yet methodologists have warned that α is not an optimal measure of reliability relative to its more general form, McDonald’s omega (ω). Among…
Monte Carlo simulation is a useful but underutilized method of constructing confidence intervals for indirect effects in mediation analysis. The Monte Carlo confidence interval method has several distinct advantages over rival methods. Its performance is comparable to other widely accepted methods of interval construction, it can be used when only summary data are available, it…
Scale development involves numerous theoretical, methodological, and statistical competencies. Despite the central role that scales play in our predictions, scholars often apply measurement building procedures that are inconsistent with best practices. The defaults in statistical programs, inadequate training, and numerous evaluation points can lead to improper practices. Based on a quantitative content analysis of communication…
This article provides a primer of the statistical technique called parceling, or aggregating items and using those aggregates as indicators of latent constructs, for structural equation modeling (SEM). First, two major types of parceling (subset-item-parcel and all-item-parcel approaches), alongside the traditional item-based approach, are illustrated. Second, both pros and cons of parceling are explicated. Parceling…