Data Preparation

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DATA PREPARATION AND DESCRIPTION

1

Editing  Detects

errors and omissions,  Corrects them when possible, and  Certifies that minimum data quality standards are achieved

2

Editing

(cont.)

 Guarantees

that data are

• accurate • consistent with other information • uniformly entered • complete • arranged to simplify coding and tabulation

3

Editing  Field

Editing • translation of ad hoc abbreviations and symbols used during data collection • validation of the field results.  Central Editing

4

Coding  Rules

that guide the establishment of category sets • Appropriate to the research problem and purpose • Exhaustive • Mutually exclusive • Derived from one classification principle

5

Content Analysis for Coding  Measures

6

the semantic content of a

message  Researches the objective, systematic, and quantitative description of the content of a communication • Syntactical unit • Referential unit • Propositional unit • Thematic unit

Data Entry Options  Optical

scanning  Voice recognition  Keyboard

7

Data Entry Formats  Database

with full screen editor  Spreadsheet

8

Descriptive Statistics  Distribution

• Location • Spread • Shape

9

Descriptors

Descriptive Statistics  Distribution

• Location

Descriptors

• Central Tendency • Mean • Median • Mode

10

Descriptive Statistics  Distribution

• Spread

Descriptors

• Variance, • Standard Deviation, • Range, • Interquartile Range

11

Descriptive Statistics  Distribution

Descriptors

• Shape • Skewness • Kurtosis

12

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