Definition: A part of a population used to represent the entire population.
Sample
Inferential statistics is also known as...
Parametric statistics
What type of coding looks at emergent themes identifed based on the codes the researcher deemed to be repeated across the sample?
Theme and trend coding
What figure does a normal distribution look like?
A bell curve
IV: nominal/ordinal
DV: nominal/ordinal
Chi-square
What type of statistics helps researcher to describe general characteristics of a population, based on the sample studied?
Descriptive Statistics
This type of parametric test is done between and IV and DV that are both interval/ratio and is not looking for causation
Correlation
What type of analysis is this an example of:
"I would need to fly to get to every meeting I'm supposed to make"
True/False: For normal distribution mean + median = mode
RQ: Do males and females (two groups) differ in their ratings of a camera phone being important (DV)?
T-test
What makes up central tendency?
What is the most widely used parametric test
T-test
True or False: It is good to share analysis with participants
True
True/False: RQs are used with existing theory and predictable outcomes
False
IV: Nominal/ordinal, have 2 or more levels
DV: Interval/ratio
What type of statistics do we run in order to see the magnitude and frequency of occurance?
Frequency
An F-ratio is calculated for this test
ANOVA
Audit trail can help distinguish what?
Verfication/credibility
Which one is the null hypothesis?
- Humor is not related to ad credibility
- Humor is positively related to ad credibility
Humor is not related to ad credibility
RQ: Does the importance of a camera phone, phone size, and internet access on phone predict the likelihood that people will upgrade to a higher quality phone in the next year?
Linear regression
Whwat kind of distribution is this?
Negative or left skewed distribution
This test is between and IV and DV that are both interval/ratio and is looking at prediction
Regression
Analytic Induction
Definition: Occurs when the researcher accepts the null hypothesis, essentially arguing that a significant relationship does not exist, when in fact, there is one.
Type 2 error
ANOVA