At the first seminar we were divided into smaller groups and discussed
each other’s papers. We choose to present mine about the effectiveness of SMS
for communication with concerns to privacy protection and conflict avoidance. I
realized that the method they used had some flaws. Since they went out on the
streets of Hong Kong and Shanghai to let people answer their questionnaire,
they automatically disqualified parts of the population from being represented
in the study e.g. old and disabled people that cant leave their home.
During what time of the day they conducted the survey wasn’t specified
in the paper and I think that could be a factor of error since different
demographics might be out on the streets at different hours.
At the second seminar Olle Bälter gave a lecture about quantitative vs.
qualitative methods and paper vs. online-based questionnaires. Olle has since
2000 researched new methods to collect data for research purposes at Karolinska
Institutet. He told us about the studies they perform involving over 500’000
participants and the problems that could arise such as increased costs due to
people not answering the questions correctly.
He showed us an example of an online questionnaire from Karolinska
Institutet. The questionnaire continuously gave feedback on the answers the
volunteer answered e.g. an interactive BMI (Body Mass Index) scale were shown
after weight and height had been entered.
Olle said that this kind of feedback would substantially increase the
completion rate of the questionnaire.
On another page the volunteer entered the hours and minutes he spent
during a typical day performing different levels of exercise ranging from
sleeping (minimal) to road construction work (maximal). Each level of exercise
was provided with examples on what kind of exercise they meant e.g. road
construction work. Almost every level had one “normal” example and two more
unusual such as “sweeping the sidewalk”. There was a good explanation why such
examples were given. Sweeping the sidewalk is usually done the same way
regardless of who does it. They avoided using examples like cycling since
people will have different interpretations on what level of exercise cycling
is. Some might be Tour the
France-wannabes and think that cycling is the most extreme form of exercise but
some might see it as something you do in a slow pace to get from A to B.
He showed a questionnaire sent to the staff at KTH which he thought was a bad questionnaire and he pointed out its flaws e.g. there were negations in the questions and the answering scale didn't allow a neutral answer.
What I learned from this was that you really have to be specific and very clear about what you mean and how you phrase the questions since people will interpret the questions based on their own experiences.
He showed a questionnaire sent to the staff at KTH which he thought was a bad questionnaire and he pointed out its flaws e.g. there were negations in the questions and the answering scale didn't allow a neutral answer.
What I learned from this was that you really have to be specific and very clear about what you mean and how you phrase the questions since people will interpret the questions based on their own experiences.
However, the majority of the seminar was spent on a Boggle-like game. We
were divided into four groups. Then we were to come up with: first advantages
with qualitative methods, then advantages with quantitative methods, paper and
online questionnaires. If your group mentioned an acceptable advantage that no
other group had written down, your group got a point. There were also some
points awarded for “good” argumentation even though the proposed advantage
really wasn’t a general advantage at all. I don’t think the Boggle-session gave
me any new knowledge but I really enjoyed the discussions we had.
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