CADDIS Volume 4: Data Analysis
This volume of CADDIS was developed as a reference for users seeking information on different analytical techniques that can be applied to causal analysis.
Data analysis is a key phase of a causal assessment. In many cases, statistical analyses can be used to inform different types of evidence and strengthen confidence in the results of causal assessments.
The materials in this volume have been organized into topic areas (listed at right) which may be read individually or in sequence. Most materials were written for users with a basic background in statistics. Some topic areas also include advanced materials on an optional "Details" page.
- Selecting an Analysis Approach: initial guidance for selecting appropriate analyses that can inform different phases of a causal analysis.
- Getting Started: things to think about before you start analyzing data.
- Basic Principles & Issues: basic concepts to keep in mind while analyzing observational data.
- Exploratory Data Analysis: techniques for becoming familiar with your data.
- Basic Analyses: "building block" statistical methods.
- Advanced Analyses: statistical methods requiring knowledge of one or more basic techniques.
- Download Software: implementations of some basic and advanced techniques.
| Selecting an Analysis Approach | Getting Started Basic Principles & Issues | Exploratory Data Analysis Basic Analyses | Advanced Analyses Download Software |
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CADDIS Navigation
Volume 1: Stressor Identification
Volume 2: Sources, Stressors & Responses
Volume 3: Examples & Applications
Volume 4: Data Analysis
Volume 5: Causal Databases