CSCW Empirical Research & Study Design
Guides the design, methodological rigor, and ethical audit of empirical studies for ACM CSCW research papers.
Designed specifically for human-computer interaction (HCI) and Computer-Supported Cooperative Work (CSCW) researchers, this skill helps you plan, audit, and document pluralist empirical research to meet peer review standards. It establishes rigorous criteria across qualitative interviews, ethnography, computational trace analysis, surveys, field deployments, and mixed methods while enforcing ethical community standards and group-level units of analysis.
Key Features
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02Provides method-specific rigor standards across qualitative, computational, experimental, and mixed designs
03Distinguishes clearly between individual observations and group-level units of analysis
04Prevents common review pitfalls like mismatched validation standards and ungrounded causal claims
05Generates structured evidence-plan skeletons to outline empirical methodologies before data collection
06Establishes ethical guidelines for community privacy, consent postures, and quote de-identification
Use Cases
01Developing ethical data collection and quote anonymization plans for online community research
02Auditing qualitative interviews, trace analysis, or field deployments against CSCW review expectations
03Structuring the methodology and empirical evaluation section of an ACM CSCW paper submission