Example 2
- Population: Tweets; Google searches
- Sample: non-random sample of tweets; random sample of Google searches
- Concept:
- Sentiment (tweets): [Negative, Positive]
- Topic (searches): [Politics, Sports, Culture, Science]
- Measure:
- Classifier (Sentiment): Assigns sentiment scores to tweets (based on content)
- Topic model (topic): Assigns topics to searches (based on content)
- Variable/scale:
- Sentiment: ..has values between 0-1 (negative-positive)
- Topic: Has for categories [Politics, Sports, Culture, Science]
- Measurement process
- Assign sentiment values to tweets
- Assign topics to searches
- Data: Sample of tweets/searches grouped according to values (cells)
- …again each value/topic represents a cell
- Q: What is could measurement error be here?