Wilson - Using Available Tools: Assessment Practices and Metrics for the 21st Century
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This document discusses tools and methods for quantitative and qualitative data analysis. It explains the different types of data, including quantitative, qualitative, and mixed methods data. For quantitative analysis, it covers descriptive statistics like measures of central tendency, frequency distributions, and cross-tabulations. Qualitative analysis techniques include thematic coding, word clouds, and abstraction. Specific tools demonstrated include Excel for basic statistics, SurveyMonkey for surveys, and NVivo for advanced qualitative coding. The goal is to help users select the right analysis method and tools based on their data types and objectives.
Wilson - Using Available Tools: Assessment Practices and Metrics for the 21st Century
- 1. Using available tools Assessment Practices and Metrics for the 21st Century Frankie Wilson Head of Assessment & Secretariat
- 2. Overview • Using the right tool for the job • Quantitative data analysis • Qualitative data analysis • Tools • Demonstration of tools • Other common tools
- 3. Using the right tool for the job • What type of data do you have? • What do you want to know from the data?
- 4. What type of data do you have? • Quantitative data - numbers • Qualitative data – not numbers • User Experience data – design iteration input • Quantitative disguised as qualitative data e.g. Where do you get course books?_______ 18-21 years 22-25 years 25-35 years Over 45 years
- 5. Types of quantitative data Type of data Example Type of data analysis Nominal (category) Library user / library non-user Frequency distribution Cross-tabulation Ordinal (rank) Order of importance of library programmes Frequency distribution Cross-tabulation Similarities/differences between groups Similarities/differences between performance of individuals under two conditions Interval (actual number with equal distances) Likert Scale sliders Measures of central tendency Measures of dispersion Ratio (actual number with true zero) Number of books borrowed Measures of central tendency Measures of dispersion Correlation
- 6. What do you want to know? • Who… uses the library on Sundays? • What… is the impact of the Therapy Dogs programme? • Why… don’t History students attend library training? • When… would be the best time to refresh the website? • How… do new Doctoral students learn how to use A&I databases?
- 7. Quantitative data analysis • Descriptive statistics • Measures of central tendency (“averages”) • Measures of dispersion • Frequency distribution • Cross-tabulation • Statistical analysis
- 8. Frequency distribution • Proportion (%) of responses to each of the answer options
- 9. Cross-tabulation • Links between variables • Similarities/differences between groups
- 10. Measures of central tendency • Mean - typical • Mode - most frequent • Median - mid-point • Mean = 420/10 = 42 • Mode = 25 • Median = 40 A B C D E F G H I J 25 25 25 25 40 40 40 50 50 100
- 11. Measures of dispersion • How data appears round average • Range – difference between highest & lowest • Variance – how each score varies from mean • Standard Deviation – how each score varies from mean • Range = 100-25 = 75 • Variance = sum of (score-mean)2/total # scores = 466 • Standard Deviation = √466 = 21.59
- 15. Qualitative data analysis • Frequency analysis • Descriptive - thematic analysis • Deeper analysis - abstraction
- 16. Tools • Quantitative descriptive statistics • Excel • Survey tools (e.g. SurveyMonkey) • Quantitative statistical analysis • SPSS • Qualitative data analysis • Excel • Word and post-it notes • NVivo
- 43. Qualitative data analysis using Excel
- 44. Qualitative data analysis using Excel
- 45. Qualitative data analysis using Word
- 46. Qualitative data analysis: abstraction
- 47. Qualitative data analysis using NVivo
- 48. Other useful tools • Tableau • Pentaho Kettle
- 49. Tableau
- 50. Pentaho Kettle