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Match one strength and one limitation to the appropriate research strategy / technique below:

A.Experiment

B.Case study

C.Survey / Questionnaire

D.Observation

E.Interview

F.Content analysis / Secondary data

G.Discourse analysis

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Open the worksheet.

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i.Good for making in-depth connections between language and culture.

ii.Can gather data relatively quickly and easily from a large number of participants.

iii.Can establish a cause-effect relationship by controlling variables.

iv.Can see how people behave in real-life settings.

v.Can collect in-depth answers to open-ended questions about behaviours and attitudes.

vi.Good for longitudinal research (= research over a longer time-period).

vii.Can include a range of data collection techniques to gain an in-depth understanding of behaviour within a specific situation, organisation or company.

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i.Sample sizes are usually small and focused only one or two organisations / situations / companies, so it may be difficult to generalise the results.

ii.Because this technique focuses only on language, it may not ‘tell the whole story’.

iii.Data is self-reported and so it may not be 100% accurate.

iv.Depending on the type (covert v overt), ethical issues or the Hawthorn effect may occur.

v.May be unreliable if the original documents are not of good quality.

vi.May be difficult to generalise the laboratory results to real-life settings.

vii.May produce biased results due to ‘interviewer effect’ if not carefully carried out; can be hard to generalise results due to small number of participants.

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1. the student critiqued the method used in the lite， and pointed out that the sample is too less to be representative.

2. connected to research GAP

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The author points out the shortcomings of the study and overgeneralizes

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1. It may not be clearly pointed out in the sample.
2. research gap

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A.Experiment：ili

B.Case study：vii

C.Survey / Questionnaire：ii

D.Observation：iv

E.Interview：v

F.Content analysis / Secondary data：vi

G.Discourse analysis：i

# data[].attributes.body
A--- iii
B--- i
C--- ii
D--- iv
E--- v
F--- vii
G--- vi

# data[].attributes.body
A--- vi
B--- i
C---
D--- iv
E--- vii
F--- v
G---

# data[].attributes.body
A.Experiment
iii.Can establish a cause-effect relationship by controlling variables.

B.Case study
vi.Good for longitudinal research (= research over a longer time-period).

C.Survey / Questionnaire
ii.Can gather data relatively quickly and easily from a large number of participants.

D.Observation
iv.Can see how people behave in real-life settings.

E.Interview

v.Can collect in-depth answers to open-ended questions about behaviours and attitudes.

F.Content analysis / Secondary data
vii.Can include a range of data collection techniques to gain an in-depth understanding of behaviour within a specific situation, organisation or company.

G.Discourse analysis
i.Good for making in-depth connections between language and culture.

# data[].attributes.body
A.Experiment
vi.May be difficult to generalise the laboratory results to real-life settings.

B.Case study
i.Sample sizes are usually small and focused only one or two organisations / situations / companies, so it may be difficult to generalise the results.

C.Survey / Questionnaire
iii.Data is self-reported and so it may not be 100% accurate.

D.Observation
iv.Depending on the type (covert v overt), ethical issues or the Hawthorn effect may occur.

E.Interview
vii.May produce biased results due to ‘interviewer effect’ if not carefully carried out; can be hard to generalise results due to small number of participants.

F.Content analysis / Secondary data
v.May be unreliable if the original documents are not of good quality.

G.Discourse analysis
ii.Because this technique focuses only on language, it may not ‘tell the whole story’.

# data[].attributes.body
A.Experiment：vi

B.Case study：i

C.Survey / Questionnaire：ili

D.Observation：

E.Interview：vii

F.Content analysis / Secondary data：

G.Discourse analysis：ii

# data[].attributes.body
A：ili

B：vii

C：ii

D：iv

E：v

F：vi

G：i

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1.
2.
3.
4.

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Although there are many researches on the relationship between service quality and customer satisfaction, there are few researches on the relationship between customer evaluation of service and logistics service quality

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the pandemic has forced many small and medium-sized e-commerce companies to integrate social media marketing into their products, and this new way of marketing has brought potential for e-commerce(Purba,et al.,2021). Although this research was only carried out in Indonisa, the conclusions are strong because they involved analysis of 120 MSMEs in Banten Indonesia who had experienced the pandemic.