Module 7: Data Analysis
Module Overview
Module 7 reviews major considerations for analyzing data and making recommendations based on findings from the analysis. The module contains three chapters that will guide you in understanding the following:
- Chapter 1: Common approaches to data preparation and analysis.
- Chapter 2: Basic analyses to build analytic capacity.
- Chapter 3: A framework for understanding the implications of findings and making justifiable recommendations.
Chapter 1: Approaches to Data Preparation and Analysis
In chapter 1, you will be introduced to common approaches that can be used in the preparation of your data for analysis and interpretation.
Chapter Resources
Chapter 1: Approaches to Data Preparation and Analysis
Slide Deck:
Handouts:
- AMMP! Logic Model
- Guidelines for a Codebook
- Common Sources of Data Errors and Error-Checking Techniques
- Microsoft Excel Functions for Data Cleaning
- Survey Methods for Educators: Analysis and Reporting of Survey Data
- Qualitative Research Methods: A Data Collector’s Field Guide
- Qualitative Research
- Cost Analysis: A Starter Kit