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Diving Deeper into Data Analysis
Driving K-12 Leadership and Instruction
Understanding Data Types and Descriptive Methods
This textbook demystifies the complex statistical calculations and difficulty in analyzing and interpreting assessment data by presenting simplified approaches for: Understanding data types and using appropriate graphical and numerical forms to describe data.
Interpreting Quantitative and Qualitative Data
Correctly reading and interpreting quantitative data and qualitative data presented in charts, tables, and graphs including pie charts, bar graphs, two-way tables, side-by-side bar graphs, segmented bar graphs, line graphs, histograms, dotplots, parallel boxplots, side-by-side stemplots, and scatter plots.
Analyzing Numerical Data
Correctly reading and interpreting quantitative data presented in numerical forms including mean, median, standard deviation, range, interquartile range, percentiles, quartiles, and standardized scores (z-scores).
Making Data-Driven Decisions
Making data-driven decisions based on statistical calculations and interpretations.
Applying Data Analysis to Leadership and Instruction
Using the results of prudent data analysis to drive leadership and instruction.
Developing School Improvement Plans
Using the findings of extensive data analysis of assessment data to develop an innovative school improvement action plan.
