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18 Cards in this Set

  • Front
  • Back
Applied Research
Ratings
Polling data
Mall Ladies
Answer specific questions
Driven by 'need to know'
Scholarly Research
Media Effects
Uses and gratifications
Political economy
Attempts to explain and understand media.
Complex questions
Driven by theory
Academic/public
Influenced by culture
Questions asked in Applied research
What are you watching
Who will you vote for
Which of these products do you prefer
Questions asked in Scholarly research
Does tv/movies/music/videogames cause violence
Why do we use video games
How does corporate ownership influence content.
Atheoretical research
Without theory
Commercial research
Paid for
Proprietary research
Pay to use somones information
Research methods
Questions
Sampling
Methods
How do we evaluate information
Importance of methodolgy
Sampling-Design and execution. Error and weighting
Data collection-Issues associated with each method
Who gets picked in a sample
Probability- Random. Everyone has an equal chance
Nonprobability - Convenience
Probability Sample
Define population- units of analysis (people or households). Demographics. Universe (who is to be included)
Sampling frame
Sample Design
Simple- picking at random
Systematic- use list to pick every 'nth'
Multi-stage clustering- two stages (block/home)
Stratified- group by characteristics
Cross Sectional Surveys- One point in time.
Longitudinal- Over time. Trend(not same people) Panel (Same people)
Sources of Error
Sampling error
Non-response error
response error (bias)
processing error
Sampling Error or Margin of Error
+/- numbers
Quantifying behavior
Process of assigning numbers to individuals
Measurement methods
Two key components for measurement
Reliability- Consistency. Over-time. Across different sub-samples
Validity- Accuracy. Actually measuyring what you think you're measuring.

Threats- Sampling error. measurement/question design (bias)
Measurement Techniques
Diaries
Household and people meters
Internet measure
Questionnaires (surveys)
Telephone recall
Focus groups (next class)
Qualitative data industry use
Lifestyles
Focus groups
Ethnographies