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CHAPTER 20 DATA PREPARATION AND ANALYSIS OF DATA - Coggle Diagram
CHAPTER 20 DATA PREPARATION AND ANALYSIS OF DATA
Data Preparation
Developing a Database Structure
Intend to store the data for the study so that it can be accessed in subsequent data analyzes
Generate a printed codebook
Variable description
Variable format
Instrument/method of collection
Variable name
Data collected
Respondent or group
Variable location
Notes
Entering the Data into Computer
Type the data in directly
Double entry
Checking the Data for Accuracy
Are all important questions answered?
Are the responses complete?
Are the responses legible/readable?
Is all relevant contextual information included
Logging the data
SPSS
Retain records for at least 5-7 years
Microsoft Access
Data Transformation
Item reversals
Scale totals
Missing values
Categories
To transform the raw data into variables that are usable in the analyzes
The Process of Data Analysis
Initial data analysis
Quality of measurements
Inspect the variances of the items and the scales
Cronbach's of the scales
Ways
Analysis of homogeneity
Confirmatory factor analysis
Change in the Cronbach's alpha when an item would be deleted from a scale
Check whether structure of measurement instruments corresponds to structure reported in the literature
Characteristics of data sample
Scatter plots
Correlations
Basic statistics of important variables
Cross-tabulations
Quality of data
Descriptive statistics
Frequency counts
Normality
Associations
Data cleaning
All information should be saved
Do not throw information away at any stage
Alterations to the data set should carefully and clearly documented
Main data analysis
Other relevant analysis needed to write the first draft of the research report
Approach is decided before data is collected
Answer the research question