12. editing, coding and tabulation.ppt
DESCRIPTION
PPT on Editing, Coding and Tabulation - RMTRANSCRIPT
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Chapter 16Chapter 16
Data Data PreparationPreparation
andand
DescriptionDescription
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Learning Objectives
Understand . . .
• importance of editing the collected raw data to detect errors and omissions
• how coding is used to assign number and other symbols to answers and to categorize responses
• use of content analysis to interpret and summarize open questions
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Learning Objectives
Understand . . .
• problems and solutions for “don’t know” responses and handling missing data
• options for data entry and manipulation
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Data Preparation
• Editing and coding of data
• Tabulation
• Graphic presentation of data
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Editing
CriteriaCriteria
ConsistentConsistent
Uniformly entered
Uniformly entered
Arranged forsimplification
Arranged forsimplification
CompleteComplete
AccurateAccurate
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Field Editing
• Field editing review
• Entry gaps identified
• Callbacks made
• Validate results by re-interviewing
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Central Editing
Be familiar with instructions given to interviewers and coders
Do not destroy the original entry
Make all editing entries identifiable and in standardized form
Initial all answers changed or supplied
Place initials and date of editing on each instrument completed
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Exhibit 16-2 Sample Codebook
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Exhibit 16-3 Precoding
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Exhibit 16-3 Coding Open-Ended Questions
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Coding Rules
Categories should be
Categories should be
Appropriate to the research problem
Exhaustive
Mutually exclusiveDerived from one
classification principle
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Content Analysis
QSR’s XSight software for
content analysis.
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Types of Content Analysis
Syntactical
Propositional
Referential
Thematic
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Types of Content Analysis
Syntactical
words, phrases,sentences, orparagraphs
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Types of Content Analysis
words, phrases, and sentences and
may be objects,events, persons, etc
Referential
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Types of Content Analysis
Propositional
Assertions aboutan object, event,
or person
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Types of Content Analysis
topics containedwithin and
across texts
Thematic
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Exhibit 16-4 & 16-5Open-Question Coding
Locus of Responsibility Mentioned Not Mentioned
A. Company ________________________ ________________________
B. Customer ________________________ ________________________
C. Joint Company-Customer ________________________ ________________________
F. Other ________________________ ________________________
Locus of Responsibility Frequency (n = 100)
A. Management
1. Sales manager
2. Sales process
3. Other
4. No action area identified
B. Management
1. Training
C. Customer
1. Buying processes
2. Other
3. No action area identified
D. Environmental conditions
E. Technology
F. Other
10
20
7
3
15
12
8
5
20
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Exhbit 16-7 Handling “Don’t Know” Responses
Question: Do you have a productive relationship with your present salesperson?
Years of Purchasing Yes No Don’t Know
Less than 1 year 10% 40% 38%
1 – 3 years 30 30 32
4 years or more 60 30 30
Total100%n = 650
100%n = 150
100%n = 200
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Data Entry
Database Programs
Database Programs
Optical Recognition
Optical Recognition
Digital/Barcodes
Digital/Barcodes
Voicerecognition
Voicerecognition
KeyboardingKeyboarding
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Missing Data
Listwise Deletion
Pairwise Deletion
Replacement
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Key Terms
• Bar code• Codebook• Coding• Content analysis• Data entry• Data field• Data file• Data preparation• Database• Don’t know response
• Editing• Missing data• Optical character
recognition• Optical mark recognition• Precoding• Record• Spreadsheet• Voice recognition
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Appendix 16aAppendix 16a
Describing Data Describing Data StatisticallyStatistically
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Frequencies
Unit Sales Increase (%) Frequency Percentage
Cumulative Percentage
5
6
7
8
9
Total
1
2
3
2
1
9
11.1
22.2
33.3
22.2
11.1
100.0
11.1
33.3
66.7
88.9
100
Unit Sales Increase (%) Frequency Percentage
Cumulative Percentage
Origin, foreign (1) 6
7
8
1
2
2
11.1
22.2
22.2
11.1
33.3
55.5
Origin, foreign (2) 5
6
7
9
Total
1
1
1
1
9
11.1
11.1
11.1
11.1
100.0
66.6
77.7
88.8
100.0
A
B
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Distributions
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Characteristics of Distributions
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Measures of Central Tendency
Mean ModeMedian
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Measures of Variability
Interquartile range
Interquartile range
Quartile deviationQuartile deviation
DispersionDispersion
Range
Standard deviationStandard deviation
VarianceVariance
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Summarizing Distributions with Shape
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Variable Population Sample Mean
µ
X
Proportion
p
Variance
2
s2
Standard deviation
s
Size
N
n
Standard error of the mean
x
Sx
Standard error of the proportion
p
Sp
__
_
Symbols
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Key Terms
• Central tendency• Descriptive statistics• Deviation scores• Frequency distribution• Interquartile range
(IQR)• Kurtosis• Median• Mode
• Normal distribution• Quartile deviation (Q)• Skewness• Standard deviation• Standard normal
distribution• Standard score (Z score)• Variability• Variance