Question
Jan Villaroel
Topic: Statistics Posted 1 year ago
Researchers in Lebanon conducted a study to identify personality characteristics that can be used to predict "addiction" to the internet and social media.

Researchers in Lebanon conducted a study to identify personality characteristics that can be used to predict
"addiction" to the internet and social media.

(a) The study was carried out at a private university in Lebanon. To select the sample, the student population
was ordered by student identification numbers and every 5th student from the list was invited to
participate. Would this sample be a simple random sample, a systematic sample, a stratified sample, or a
cluster sample?

(b) Based on the sampling method described in part (a), is it reasonable to assume that this sample is
representative of all students at this university in Lebanon?

(c) Based on the sampling method described in part (a), is it reasonable to assume that this sample is
representative of all internet users and social media users?

(d) Some students who were selected for the sample chose not to participate in the study. In total, 586
participants completed the survey for an overall response rate of 41.86%. Are you concerned about
nonresponse bias in this study? Or does the large sample size eliminate these concerns?


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Kevin
Dec 1, 2023
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a) systematic sample
b) Yes, because the sample was randomly selected.
c) No, because the sample was selected from only students at this university in Lebanon.
d) There is concern about nonresponse bias because there could be something systematically different about those participants who chose to respond.

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Koala Tutor
Dec 1, 2023
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(a) The sampling method described in part (a) is a systematic sample. Every 5th student from the list was invited to participate.

(b) It is not reasonable to assume that this sample is representative of all students at the university. While the systematic sampling method helps ensure randomness within the selected group of students, the method itself may introduce bias if there is any pattern or correlation between student identification numbers and the characteristics being studied.

(c) It is not reasonable to assume that this sample is representative of all internet users and social media users. The sample only includes students from a private university, which may not accurately represent the broader population of internet and social media users in Lebanon.

(d) Nonresponse bias may be a concern in this study. The response rate of 41.86% is relatively low, and there is a possibility that the students who chose not to participate have different characteristics that could introduce bias into the results. The large sample size alone does not eliminate these concerns, as the non-respondents may have unique characteristics that are not captured by the respondents.

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