COMM 1 Lecture Notes - Lecture 10: Tinder, Categorical Variable
23 May 2020
School
Department
Course
Professor
Comm 1
Fall 2019
Experience Sampling
● Send text messages to Participants, they link via phone to survey online (can also use
survey apps)
● Participants answer Qs about their experiences/feelings in the moment
o Improvement on diaries
● Can improve accuracy on self-reports
o If you ask them at that moment, their memory will be better
o Allows for longitudinal/panel data
Understanding data in survey research:
(Depends on Hypothesis and how IVs/DVs are measured)
Examining differences:
● Example: Millennials will disclose more online than will people from older generations
o IV: generation → Categorical variable (nominal/discrete)
▪ Comparing age groups; heavy vs light talkers; tinder users/nonusers
o DV: Disclosure → Depends on how you measure it… (if categorical it would
be disclosure/nondisclosure)
▪ If DV is also categorical: all that can be done is to compare percentages in
the different categories (typical of opinion polls)
● Percentage of one age group that said yes vs. percentage of the
other age group that said yes
▪ If DV is continuous (interval or ratio):
● DV uses Likert, semantic diff items, etc.
● Compare mean (average) DV scores for the different IV categories
● Example cont.: if using categorical to measure IV and continuous (# of disclosures) →
compare average number of disclosures for both generations
o **you could also do two IVs→ # of disclosures and intimacy level
● **You do this same analysis for experiments
o But with experiments you are manipulating the IV
Examining Continuous Relationships:
● Example Hypothesis: The more that people talk about their problems, the worse their
problems seem
o IV: Amount talk about their problems (continuous)
o DV: Perceived severity of problems (Continuous
▪ When both IV and DV are continuous (interval/ratio) data→ Compute
a correlation
● Statistical value ( r ) that shows the relationship between the two
(or more) continuous variables
Correlation:
● r tells you:
o type (+ vs -)
o magnitude (strength) of relationship
Type of relationship:
Document Summary
Send text messages to participants, they link via phone to survey online (can also use survey apps) Participants answer qs about their experiences/feelings in the moment. If you ask them at that moment, their memory will be better: allows for longitudinal/panel data. Understanding data in survey research: (depends on hypothesis and how ivs/dvs are measured) Example: millennials will disclose more online than will people from older generations. Iv: generation categorical variable (nominal/discrete: comparing age groups; heavy vs light talkers; tinder users/nonusers, dv: disclosure depends on how you measure it (if categorical it would be disclosure/nondisclosure) If dv is also categorical: all that can be done is to compare percentages in the different categories (typical of opinion polls) Percentage of one age group that said yes vs. percentage of the other age group that said yes. Dv uses likert, semantic diff items, etc. Compare mean (average) dv scores for the different iv categories.
