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Advanced visualization and Kendall’s W agreement analysis in R : visualizing STEM teacher capacity‑building survey results (Egypt 2022) / Hanaa Ouda Khadri.
- Format:
- Book
- Author/Creator:
- Khadri, Hanaa Ouda, author.
- Language:
- English
- Subjects (All):
- Information visualization--Computer programs.
- Information visualization.
- R (Computer program language).
- Physical Description:
- 1 online resource
- Place of Publication:
- London : SAGE Publications Ltd, 2026.
- Summary:
- This dataset focuses on assessing the measurement quality of the STEM teacher competency instrument using the expert ratings dataset (Egypt, 2020). In SPSS, students assess internal consistency using Cronbach’s alpha (and item‑total correlations), check the reliability of subscales, and test dimensionality with exploratory factor analysis (e.g., principal axis factoring with oblique rotation) while being careful about treating Likert data as ordinal. The guide highlights ethical, inclusive validation; document item wording; reviewing response distributions; looking for items that disadvantage certain groups; and reporting decisions openly. In the end, students will understand how reliability and construct validity support evidence-based revisions to competency frameworks and how to communicate the results clearly (reliability tables, scree plots, factor loadings) to academic and policy audiences. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide.
- Notes:
- Description based on XML content.
- ISBN:
- 9781036249526
- OCLC:
- 1594889074
- Publisher Number:
- T302220
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