'Field editing' presentation slideshows

Research Methodology

Research Methodology. Lecture No : 21 Data Preparation and Data Entry. Recap Lecture. In the last few lectures we discussed about: Research Design The purpose, investigation type, researcher interference, study setting, unit of analysis, time horizon, Measurement of variables

725 views • 36 slides

Chapter 15

Chapter 15. Data Preparation and Description. Learning Objectives. Understand . . . The 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.

311 views • 31 slides

Chapter 15

Chapter 15. Data Preparation and Description. Learning Objectives. Understand . . . The 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.

290 views • 29 slides

Chapter 16

Chapter 16. Data Preparation and Description. 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

351 views • 27 slides

Chapter 16

Chapter 16. Data Preparation and Description. 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

273 views • 27 slides

Chapter 16

Chapter 16. Data Preparation and Description. 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

276 views • 27 slides

Multiple Indicator Cluster Surveys Data Processing Workshop

Multiple Indicator Cluster Surveys Data Processing Workshop. Secondary Editing. REMEMBER AND REMIND YOUR FIELD STAFF:.

380 views • 23 slides

Lecture 8 DATA ANALYSIS

Lecture 8 DATA ANALYSIS. Lecture 8 LEARNING OBJECTIVES. to know how to validate data before entering it to be aware of the basic descriptive measures used with quantitative data to be able to represent data in appropriate ways. Lecture 8 LECTURE OUTLINE. recommended reading

329 views • 23 slides

FIELD OPERATIONS, PART 2

Quality assurance for census. FIELD OPERATIONS, PART 2. ENUMERATION. PREPARATION. Know EA Study Enumeration Manual Know why Census NSO ambassador Capability improves co-op Know why questions. VISIBILITY. Promotion Identification Presentation. ENUMERATION STRATEGY. Defined path

285 views • 19 slides

Using ArcPad in the Field

191 views • 19 slides

Chapter 18

Chapter 18. Data Preparation and Description. Learning Objectives. Understand the importance of editing the collected raw data to detect errors and omissions Understand how coding is used to assign number and other symbols to answers and to categorize responses

255 views • 18 slides

Chapter 18

Chapter 18. Data Preparation and Description. Learning Objectives. Understand the importance of editing the collected raw data to detect errors and omissions Understand how coding is used to assign number and other symbols to answers and to categorize responses

277 views • 18 slides

Spring Hill Web Editing

Spring Hill Web Editing. Utilities & Signs. Utility Web Editing. Project - Provide web interface for Spring Hill myAIMS users to edit municipal utility data. Prior practice City engineer sends dwg to AIMS for new plats. Typically there were no attributes/minimal anno.

171 views • 6 slides