Skip to main content
skillsmp

메뉴

사회 과학 연구 보조원

생명, 물리, 사회과학직 · 직무 역량 및 필수 스킬 · SOC 19-4061 · 309개 skills

직업 맥락

이 O*NET 작업은 직업을 설명하고 SOC 분류의 맥락을 제공합니다. 목록의 모든 Skill이 모든 작업을 수행한다는 의미는 아닙니다.

  • Design and create special programs for tasks such as statistical analysis and data entry and cleaning.
  • Provide assistance with the preparation of project-related reports, manuscripts, and presentations.
  • Prepare tables, graphs, fact sheets, and written reports summarizing research results.

O*NET 작업 설명은 원문 언어(영어)로 표시됩니다. 작업 데이터는 USDOL/ETA의 O*NET® 29.1 Database에서 발췌했으며 CC BY 4.0에 따라 사용됩니다.

대표 출처

이 직업에 분류된 인기 Skills의 제한된 표본으로, GitHub 저장소마다 최대 한 개를 표시합니다. 아래에서 전체 분류 목록을 볼 수 있습니다.

persona-researcher
30.4k
googleworkspacegoogleworkspace/cli
Organize research — manage references, notes, and collaboration.
figure-composer
8.5k
companion-inccompanion-inc/feynman
Compose a publication-grade multi-panel scientific figure from a claim, dataset, or draft result. Use when the task needs panel planning, consistent figure layout, figure review, or final figure assembly.
e1
3.3k
brycewang-stanfordbrycewang-stanford/Auto-Empirical-Research-Skills
E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include qualitative analysis (thematic, grounded theory, content, narrative) Absorbed E4 (Analysis Code Generator) and E5 (Sensitivity Analysis - Primary Study) capabilities Use when: selecting statistical/qualitative methods, interpreting results, checking assumptions, generating code, sensitivity analysis Triggers: statistical analysis, ANOVA, regression, t-test, power analysis, assumption checking, effect size, thematic analysis, grounded theory, content analysis, narrative analysis, NVivo, ATLAS.ti, coding, qualitative data, R code, Python code, SPSS syntax, sensitivity analysis, robustness check

분류된 모든 Skills

저장소 인기도 또는 최근 출처 활동 순으로 전체 분류 목록을 탐색하세요.

Skill 이름과 설명은 출처 저장소가 제공한 언어를 유지합니다.

정렬 기준
e1
3.3k
brycewang-stanfordbrycewang-stanford/Auto-Empirical-Research-Skills
E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include qualitative analysis (thematic, grounded theory, content, narrative) Absorbed E4 (Analysis Code Generator) and E5 (Sensitivity Analysis - Primary Study) capabilities Use when: selecting statistical/qualitative methods, interpreting results, checking assumptions, generating code, sensitivity analysis Triggers: statistical analysis, ANOVA, regression, t-test, power analysis, assumption checking, effect size, thematic analysis, grounded theory, content analysis, narrative analysis, NVivo, ATLAS.ti, coding, qualitative data, R code, Python code, SPSS syntax, sensitivity analysis, robustness check

현재 Skills 12개를 표시하고 있습니다.