Data Processing Flashcards
(48 cards)
Systematic procedure to ensure that the information/data gathered are complete, _____and ______for analysis.
Data Processing
consistent
suitable
Stages of Data Analysis
Editing
Coding
Data Entry
Data Analysis
Purpose of the stages of data analysis
Error checking and verification
Data Preparation and Process
Prepare Preliminary Plan of Data Analysis Check Questionnaire Edit Code Transcribe Clean Data Statistically Adjust Data Select Data Analysis Strategiesa
Reasons for “Questionnaire Checking”
- Parts of the questionnaire may be incomplete
- The pattern of responses indicate that the respondent did not understand or follow the instructions
- The responses show a little variance
- One or more pages are missing
- The questionnaire is received after the pre-established cutoff date
- The questionnaire is answered by someone who does not qualify for participating
Transformingtheresearchdatacollectedinthefieldintocleantablesfordataanalysis.
Data Capture
In outline, the steps for Data Capture are?
-receipt of data by the study center (hardcopy forms or electronic files), followed by coding (if applicable), data entry/encoding(if applicable), and (computer) editing
Editing of responses include treatment of ______ ______
Treatment of Unsatisfactory Results
Under the treatment of Unsatisfactory Results
- Returning to the field- interviewer re-contact the respondent
- Assigning Missing Values- if returning is not feasible
- Discarding Unsatisfactory Results
Reasons for Editing
Completeness
Consistency
Questions answered out of order
The process of checking and adjusting the Data
Data Editing
Data Editing is FOR??
- omissions
- legibility
- consistency
- -readying for coding and storage
is a process of examining the collected raw data to detect errors and omissions and to correct these when possible.
◉With regards to stages/Types of Editing::
Data Editing
- Field Editing
- Central Editing
Under Field Editing
- Reviewing the accomplished data collection forms
- Decoding of special symbols/abbreviations
- Making callbacks/messages for verification/clarification of incomplete answers
Under Central Editing
- Checking of inconsistencies and incorrect entries
- Checking of encoded data
Importance of Data Editing
- Make corrections as early as possible
- Reduce non-response or incomplete answers
- Eliminate inconsistencies and incorrect info
- Make the entries clear, legible, and comprehensive
- Prepare data for analysis
What to check when editing data?
Check for duplicate entries
Check the total of each variable if the same as with the sample size
In qualitative data, check if categories are consistent specified in the coding manual
In quantitative data, check the maximum and minimum if they are logical given the possible values of variable
Conversion of verbal/written information into numbers which can be more easily encoded, counted, and tabulated.
Data Coding
The rules for interpreting,classifying,and recording data in the coding process
Codes
The actual numerical or other character symbols
Codes
Types of Codes
Factual Code
Field Code
Bracket Code
Pattern Code
actual value or information given by the respondent
Field Code
recorded as range of values rather than actual values
Bracket Code
codes are assigned to a list of categories of a given variable
Factual Code