1 / 14

MICS Data Processing Workshop

MICS Data Processing Workshop. The Data Dictionary and Forms. Questionnaire Types. There are three types of questionnaire Household Women Children Each type has core, additional and optional modules. Identification Variables. Module Naming Conventions. Each module corresponds to a record

zeshawn
Download Presentation

MICS Data Processing Workshop

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. MICS Data Processing Workshop The Data Dictionary and Forms

  2. Questionnaire Types • There are three types of questionnaire • Household • Women • Children • Each type has core, additional and optional modules

  3. Identification Variables

  4. Module Naming Conventions • Each module corresponds to a record • A record’s name is MODXX • where XX is the module’s code • For example, the child mortality module is named MODCM • Two exceptions: • Household listing stored in MODHL and MODTO • Orphaned children stored in MODOV and MODOR

  5. Repeating Modules • There are 6 repeating modules • Household listing • Education • Orphaned and vulnerable children • Child labour • Disability • Maternal mortality • Stored as repeating records

  6. Variable Naming Conventions • Variables are named for • Their module • Their number • Question 5 in the HL module is named • HL5 • Next slide describes the only exceptions to this rule

  7. Source and Response Variables • A few questions have two parts • 1st part is the source of the response • 2nd part is the response • Questions stored in two variables • Source has letter A as a postfix • Question 2 of the AN module • AN2A – lying or standing up • AN2 – height

  8. Subitems • CSPRO allows one to define subitems • A subitem is a portion of a variable (or item) • Both the item and the subitem can be referred to in an application • We make extensive use of subitems • The situations in which we use them are described in the next four slides

  9. Multiple Response Questions • There are many multiple response questions • Interviewer can circle more than one code • e.g. question 2 of MN module • These variables are stored as alphanumeric variables whose width is the number of responses • For each response there is a subitem whose name is the variables name plus the response’s code • For example, response A to MN2 is stored in subitem MN2A

  10. Date Variables • Date variables with several parts (e.g., month and year) are stored in a single variable • The single variable has a subitem for each part of the date • The subitems are named using the module, question number and D, M or Y • e.g., the day of household interview is stored in subitem HH5D

  11. Unit and Number Variables • A few questions have two parts where the • 1st part is the form of the response (i.e., the units) • 2nd part is the response (i.e., the number) • These variables are stored in a single variable with subitems • subitems have U and N prefixes in their names • Example: question 13 of the MN module • MN13U - hours or days • MN13N - number of hours or days

  12. Level and Grade Variables • In the ED module, 3 questions record level and grade • Stored in single variable with subitems • Level subitem has A prefix • Grade subitem has B prefix • Example: question 3 of ED module • ED3A - highest level • ED3B - highest grade at that level

  13. Coding Conventions

  14. Dictionary and Form Modifications • Work in CSPRO on Form File! • Add/remove modules and variables to dict. • Modify variable characteristics if necessary • e.g., lengths, ranges and variable and value labels • Update forms to reflect dictionary changes • Reorder form’s flow (if variables added)

More Related