MICS Data Processing Workshop Structure Checking and Verification.

Slides:



Advertisements
Similar presentations
Chapter 4 Loops Liang, Introduction to Java Programming, Eighth Edition, (c) 2011 Pearson Education, Inc. All rights reserved
Advertisements

Review of Data Processing Steps MICS3 Data Analysis and Report Writing Workshop.
Multiple Indicator Cluster Surveys MICS3 Regional Training Workshop Survey Techniques.
Multiple Indicator Cluster Surveys MICS3 Regional Training Workshop Household Information Panel.
Multiple Indicator Cluster Surveys Data Entry and Processing.
Multiple Indicator Cluster Surveys MICS3 Regional Training Workshop Womens Information Panel.
Multiple Indicator Cluster Surveys Data Processing Workshop
MICS Data Processing Workshop
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Creating Analysis Files: Description of Preparation Steps.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop CSPro Overview.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Data Entry Editing.
MICS Data Processing Workshop Supervisors Menu. Purpose of the Supervisors Menu Executes supervisors applications –...and displays results Transfers and.
MICS DATA PROCESSING Data Entry Editing. REMEMBER AND REMIND YOUR FIELD STAFF: The best place to correct data is in the field where the respondent is.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Supervisors Menu.
MICS Data Processing Workshop Overview. Data Processing Design Data processing is organized around clusters There is one set of data files for each cluster.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Data Entry Applications with Logic.
MICS Data Processing Workshop
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Overview of Data Processing System.
MICS Data Processing Workshop
MICS Data Processing Workshop The Data Dictionary and Forms.
MICS DATA PROCESSING Secondary Editing. REMEMBER AND REMIND YOUR FIELD STAFF: The best place to correct data is in the field where the respondent is available.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop SPSS CTABLE command Overview.
MICS Data Processing Workshop Data Entry Menu and Navigation.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Revisiting Data Path and Error Messages in a Data Entry Application.
MICS Data Processing Workshop CSPRO Dictionaries.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Data Entry and Processing.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Field Staff and Field Procedures.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Survey Quality Control.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Household Questionnaire: Household Information Panel and Household.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop MICS Dictionary and Forms.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Questionnaire for Individual Women: Child Mortality.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Secondary Editing.
1 Field Management: Roles & Responsibilities Partially Adapted from Multiple Indicator Cluster Surveys (MICS) Regional Training Workshop – Survey Techniques,
Multiple Indicator Cluster Surveys Data Processing Workshop Data Entry Menu MICS Data Processing Workshop.
Multiple Indicator Cluster Surveys Data Processing Workshop Data Entry Applications with Logic MICS Data Processing Workshop.
Multiple Indicator Cluster Surveys Data Processing Workshop CAPI Menu System MICS Data Processing Workshop.
Conducting the Interview/Survey
Liang, Introduction to Java Programming, Eighth Edition, (c) 2011 Pearson Education, Inc. All rights reserved Chapter 3 Loops.
Multiple Indicator Cluster Surveys Data Processing Workshop Overview of Data Processing System MICS Data Processing Workshop.
Multiple Indicator Cluster Surveys Survey Design Workshop
Multiple Indicator Cluster Surveys Data Processing Workshop Simple Data Entry Applications MICS Data Processing Workshop.
Petty Cash Funds How to complete an eCHECK Request for Petty Cash 1 Updated 8/10/2013.
MICS Data Processing Workshop Tabulation Programs.
Multiple Indicator Cluster Surveys Data Processing Workshop
1 Fieldwork Roles & Responsibilities Adapted from Multiple Indicator Cluster Surveys (MICS) Regional Training Workshop – Survey Techniques, Unicef.
DP Data Flow Process. Individual agrees to participate in DP Completed assessment and questionnaire are mailed/FedEx to CC Staff completes assessment;
MICS Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Data Quality Tables.
1a Job Descriptions for Personnel Involved in PAT Implementation Materials Developed by The IRIS Center, University of Maryland.
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Overview of MICS Tools, Templates, Resources, Technical Assistance.
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Interpreting Field Check Tables.
Data Management Seminar, 8-11th July 2008, Hamburg 1 Summary Common Sources of Error.
Multiple Indicator Cluster Surveys Data Processing Workshop Secondary Editing MICS Data Processing Workshop.
MICS Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Overview of MICS Tools, Templates, Resources, Technical Assistance.
Multiple Indicator Cluster Surveys Data Processing Workshop Supervisor’s Menu MICS Data Processing Workshop.
Multiple Indicator Cluster Surveys Data Processing Workshop CAPI Supervisor’s Menu System MICS Data Processing Workshop.
AADAPT Workshop South Asia Goa, December 17-21, 2009 Maria Isabel Beltran 1.
Panel Study of Entrepreneurial Dynamics Richard Curtin University of Michigan.
UN Regional Workshop on Data Processing, Bangkok, Sep Philippines 2007 Census of Population Data Processing Philippines 2007 Census of Population.
Supporting Poverty Measurement In Europe and Central Asia Cesar Cancho Poverty GP ECA Workshop “Measuring Poverty - Concepts, Challenges and Recommendations”
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Data Entry Using Tablets / Laptops.
RESEARCH METHODS Lecture 29. DATA ANALYSIS Data Analysis Data processing and analysis is part of research design – decisions already made. During analysis.
MICS Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Creating Analysis Files: Description of Preparation Steps.
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Data Entry Using Tablets / Laptops.
GCSE ICT 3 rd Edition The system life cycle 18 The system life cycle is a series of stages that are worked through during the development of a new information.
Flow chart of the program Start Input a password Is it greater than 6 characters No Is it greater than 6 characters Is it greater than 12 characters yes.
Multiple Indicator Cluster Surveys Data Processing Workshop Overview of SPSS structural check programs and frequencies MICS Data Processing Workshop.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Tabulation Programs.
Data Preparation for Analysis Chapter 11. Editing “The inspection and correction of the data received from each element of the sample.” “The inspection.
CS150 Introduction to Computer Science 1
LLIN Durability Monitoring
Presentation transcript:

MICS Data Processing Workshop Structure Checking and Verification

Structure Checking Flow Chart Main Data Entry Structure Check Verification Data Entry Investigate Errors Correct Main Data File Data Entry Operator 1 DP Supervisor Data Entry Operator 2 Data Entry Operator 1 Check ok? Yes No

Structure Checking Check the number of questionnaires in the data file matches number of questionnaires on the cluster tracking form Check household information panel counts of women and under-fives (HH12-15) match number of questionnaires in the data file

The Cluster Tracking Form Allows supervisor to organize and track data entry progress Questionnaire totals entered by questionnaire administrator Other information entered by supervisor

Cluster Tracking Form

Cluster Tracking Checks Check questionnaires in data file equal questionnaires on cluster tracking form Check done for: – Complete, Incomplete and Total Households – Complete, Incomplete and Total Women – Complete, Incomplete and Total Children

Cluster Checks Womens questionnaires = Σ HH12 Completed womens questionnaires = Σ HH13 Under-five questionnaires = Σ HH14 Completed under-five questionnaires = Σ HH15

Sample Output - Cluster MICS Data Structure Check Cluster: 3 Households | Women | Children Total Comp Incomp | Eligible Interviewed | Eligible Interviewed | HH12 FOUND HH13 FOUND | HH14 FOUND HH15 FOUND | | Compare totals to those on cluster tracking form If totals different, check clusters questionnaires and resolve the difference

Household Checks Womens questionnaires = HH12 Completed womens questionnaires = HH13 Under-five questionnaires = HH14 Completed under-five questionnaires = HH15

Sample Output - Household MICS Data Structure Check Household: 1 Result: 1 Women | Children Eligible Interviewed | Eligible Interviewed HH12 FOUND HH13 FOUND | HH14 FOUND HH15 FOUND | Use listing of households to identify source of cluster level problems

Verification Flow Chart Verification Data Entry Verification Backup Raw Data File Determine Correct Values Correct Both Data Files Data Entry Operator 2 DP Supervisor Data Entry Operator 1 & 2 DP Supervisor Data Entry Operator 1 & 2 Differences? No Yes

Verification Purpose: Eliminating data entry errors Method: 1. program compares main and verification data files 2. program produces list of differences 3. data entry operators use listing and questionnaires to determine corrections 4. Corrections marked on listing 5. BOTH data files corrected by original operators 6. repeat 1-5 until no differences in listing!

A Differences Listing Input File: C:\MICS\CSPRO\RAW\HH003M.DAT Reference File: A:\HH003V.DAT Case Id Item Input File Reference File [ ] ED3(6) ED3B(6) DA11(9) 2 1 [ ] IM1 1 2 IM IM2D 31 IM2M 03 IM2Y 2004

Verification Application The file compare.cmp defines which items (i.e., variables) are to be excluded It is strongly recommended that this file not be changed