From new-media-and-society-skills
Strengthens analysis and reporting for New Media & Society manuscripts across qualitative, content/discourse, computational, and mixed methods, making inference transparent on each tradition's own terms.
How this skill is triggered — by the user, by Claude, or both
Slash command
/new-media-and-society-skills:newms-data-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
NM&S spans interpretive, content-analytic, and computational analysis under one interdisciplinary roof.
NM&S spans interpretive, content-analytic, and computational analysis under one interdisciplinary roof.
The standard is the same across them: the analysis must be transparent, credible to a reader from
another tradition, and matched to what the evidence can support. This skill is about inference and
reporting, not study design (newms-research-design).
State plainly what the analysis establishes — description, association, interpretation, or (rarely) causation — and do not let verbs outrun the design. A cross-method NM&S panel reads candor as strength.
| Method | Minimum credibility move | Common referee ask |
|---|---|---|
| Interviews / ethnography | analytic trail + negative cases | "How representative are these quotes?" |
| Quant content analysis | intercoder reliability (alpha) + unit defined | "What's your reliability?" |
| Discourse analysis | auditable interpretive warrant | "Why this reading not another?" |
| Computational | human-label validation + robustness sweep | "Did you validate the classifier?" |
Computational: a classifier labels courier posts as "compliance" vs. "contestation."
Validation: 500 hand-coded posts → F1 = 0.84 reported before any substantive claim.
Robustness: result holds across two embeddings + two time windows; stated explicitly.
Inference framing: "posts shift toward compliance after a ranking change" = association, not proof of
internalization; the qualitative strand supplies the mechanism (triangulation, per mixed design).
【Method】qualitative / content-discourse / computational / mixed
【Inference type】description / association / interpretation / causation
【Credibility move】analytic trail / reliability stat / human-label validation
【Robustness】sensitivity checks / negative cases reported? [Y/N]
【Next】newms-tables-figures
../../resources/external_tools.md — reliability, content-analysis, and computational packages../../resources/official-source-map.md — NM&S methodological breadthnpx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin new-media-and-society-skillsDefends research design for New Media & Society manuscripts across qualitative, computational, and mixed methods.
Provides guidance for planning and auditing data analysis in American Journal of Sociology manuscripts, covering uncertainty, robustness, and triangulation across quantitative and qualitative methods.
Guides analysis and reporting for Journal of Communication manuscripts, focusing on honest uncertainty, robustness, heterogeneity, and reproducibility to pass expert double-anonymous review.