kirsti pohjanpää head of statistics statistics finland
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Does mixed-mode data collection have influence to the quality of data of LFS? The web pilot study of LFS in Statistics Finland Q2014 Vienna 2‒5 June 2014. Kirsti Pohjanpää Head of Statistics Statistics Finland. Labor Force Survey in Finland. Telephone interview (CATI) - PowerPoint PPT PresentationTRANSCRIPT
Does mixed-mode data collection have influence to the quality of data of LFS?
The web pilot study of LFS in Statistics FinlandQ2014 Vienna 2‒5 June 2014
Kirsti PohjanpääHead of StatisticsStatistics Finland
Labor Force Survey in Finland
Telephone interview (CATI) The sample of 12,000 by month
A random sample of 15 to 74 year-olds FinnsQuestions about the whole household are presented in
the last (5th) interview There are five waves in 1,5 years The response rate is about 70‒75%
Q2014 Vienna A 2Kirsti Pohjanpää
The Web Pilot Study of LFS
One aim of the pilot is to find out if there is some mode effect between telephone interview (official LFS) and web data collection (the pilot data)
LFS normal data as a comparison data data collection at the same time different data collection mode (telephone – web)
Data collection at October 2013 There were some split plot tests in the pilot ESSnet Data Collection for Social Surveys using Multi Modes
Q2014 Vienna 3Kirsti Pohjanpää
The Web Pilot Study of LFS
Sample size n=8,000 A random sample of 15 to 74 year-olds Data collection at October 2013
Four fixed reference weeks The questionnaire is coded by Blaise IS
Only in Finnish Response rate 30%, data n=2,366 Respondents found the questionnaire quite good
Q2014 Vienna 4Kirsti Pohjanpää
Q2014 Vienna A 5Kirsti Pohjanpää
MON TUE WED THUR FRI WEEKEND
RW
MON TUE WED THUR FRI WEEKEND
week 1
DC starts: Adwanced Letter there
Text Message / Motivation Call
Motivation Calls…
MON TUE WED THUR FRI WEEKEND
week 2Mailing of Reminder
MON TUE WED THUR FRI WEEKEND
week 3Reminder
thereThe End of
Data Collection
Reference Week
Data collection total 18 days
Data Collection of One Reference Week
Q2014 Vienna A 6Kirsti Pohjanpää
Q2014 Vienna A 7Kirsti Pohjanpää
primary upper secondary tertiary university ALL education education education degree
Q2014 Vienna A 8Kirsti Pohjanpää
Employed Unemployed Active population Inactive population0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
CATIWEB
The main indicators of LFS
Q2014 Vienna A 9Kirsti Pohjanpää
Unemployment rate
LFS
Q2014 Vienna A 10Kirsti Pohjanpää
“How many hours did you work in your main job during the week 7.10.-13.10.2013?”
___ hours ___ minutes
Number of Hours Worked, Group A
Q2014 Vienna A 11Kirsti Pohjanpää
“How many hours did you work in your main job during the week 7.10.-13.10.2013?”
Date Hours Minutes
Monday 7.10.2013 ___ ___
Tuesday 8.10.2013 ___ ___
Wednesday 9.10.2013 ___ ___
Thursday 10.10.2013 ___ ___
Friday 11.10.2013 ___ ___
Saturday 12.10.2103 ___ ___
Sunday 13.10.29013 ___ ___
Total ___ ___
Number of Hours Worked, Group B
Q2014 Vienna A 12Kirsti Pohjanpää
35
35.2
35.4
35.6
35.8
36
36.2
36.4
Ho
urs
wo
rke
d
One question (web)
Grid(web)
One question (telephone in-
terview)
Number of Hours Worked
Conclusions
The design, and testing of questionnaire is very important, and has power to the quality of data
The grid form of asking working hours recommended No (statistical significant) mode effects in main indicators More studies needed to confirm the best quality of LFS
data when mixing data collection modes Web and mixed mode data collection will be a normal part
of statistical process of LFS in future
Q2014 Vienna A 13Kirsti Pohjanpää