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Facebook Metrics Partial dataset SPSS

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Facebook Metrics: The file FacebookMetrics-Partial.sav contains (a subset of) data from a real-life
data set1 from a cosmetic company’s Facebook page. The data consists of 2 metrics about 500
Facebook posts made by a worldwide renowned cosmetics company between January 1, 2014 and
December 31,20142. Each row in the dataset corresponds to a Facebook post made by the
cosmetics company. The following variables are captured in the dataset (definitions are provided in
the ‘Labels’ and ‘Values’ columns as well).
• Content Type: A variable to capture the content category. The following coding scheme is used
o 1: Link
o 2: Photo
o 3: Status
o 4: Video
• Life time post consumers: Number of users who clicked anywhere on a post
You will compare how the metric ‘Life Time post Consumers’ vary across the different content
types.
Answer the following descriptive questions:
a. How many of each content type (Link, Photo, Status, Video) was posted in the year?
Go to analyze, descriptive statistics and select frequencies,
Select type of content in variables and mark display frequency tables then hit OK

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As you can see we have 22 was posted in Link, 4265 was posted in Photo, 45 was posted in Status
and 7 was posted in Video.
b. What is the average number of users who clicked anywhere on a post (i.e. average Life Time
Post Consumers) for each content type (Link, Photo, Status, Video)?
Now we need average for each content type so here are the steps:
Go to analyze, descriptive statistics and select explore.

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Facebook Metrics: The file FacebookMetrics-Partial.sav contains (a subset of) data from a real-life data set1 from a cosmetic company’s Facebook page. The data consists of 2 metrics about 500 Facebook posts made by a worldwide renowned cosmetics company between January 1, 2014 and December 31,20142. Each row in the dataset corresponds to a Facebook post made by the cosmetics company. The following variables are captured in the dataset (definitions are provided in the ‘Labels’ and ‘Values’ columns as well). • Content Type: A variable to capture the content category. The following coding scheme is used o 1: Link o 2: Photo o 3: Status o 4: Video • Life time post consumers: Number of users who clicked anywhere on a post You will compare how the metric ‘Life Time post Consumers’ vary across the different content types. Answer the following descriptive questions: a. How many of each content type (Link, Photo, Status, Video) was posted in the year? Go to analyze, descriptive statistics and select frequencies, Select type of content in variables and mark display frequency tables then hit OK As you can see we have 22 was posted in Link, 4265 was posted in Photo, 45 was posted in Status and 7 was posted in Video. b. What is the average number of users who clicked anywhere on a post (i.e. average Life Time Post Consumers) for each content type (Link, Photo, Status, Video)? Now we need average for each content type so here are the steps: Go to analyze, descriptive ...
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