Collecting data. Lecture 5

LECTURE 5
Collecting data
Saidgozi Saydumarov
Sherzodbek Safarov
Room: ATB 308 QM Module Leaders
ssaydumarov@wiut.uz
s.safarov@wiut.uz

Lecture outline:

AGENDA
Issues with collecting data
Sources of data
Data acquisition methods
Questionnaire design

Issues with data collection

To solve any issue or problem, we need

Is the data appropriate?

What does it mean for data to be

Is the data adequate?

What does it mean for data to be

Is the data unbiased?

What does it mean for data to be

Sources of data

Primary source
Secondary source

Secondary source

Are cheaper to acquire
Less time consuming
However, it may not suit

Examples of secondary sources

Search engines
Google (www.google.com)
Yahoo (www.yahoo.com)
Newspapers
NY Times (www.nytimes.com)

Examples of secondary sources

Sources of statistics
World Bank Database (data.worldbank.org)
OECD (www.oecd.org)
Federal

Primary source

Are more costly
More time consuming
However, they are suited exactly for

Sources of primary data

Ourselves!

Data acquisition

Entire population? Or a sample?
Population (also called a census):
Everyone in

Collection methods

Interviews:
Face to face
Telephone
Self-reported
Mail
Online surveys
Observations

Designing good questionnaires

Avoid the following:
using biased or leading questions
making unnecessary assumptions
asking

Using biased or leading questions:
Instead of
How awesome our service?
Use:
How

Making unnecessary assumptions
Instead of:
How often do you drink coffee?
Use:
Do you drink

Asking 2 questions in 1
Instead of:
How would you rate our product

Using jargon
Instead of:
How well does our product help you reach your

Poor answer scales:
Instead of:
Do you agree with the following statements?
I find

Confusing questions
Do you agree with the following statements?
It is not unlikely