Measurement and Sampling
Content Analysis
Fundamentals of Statistics
T-test and ANOVA
Chi-squared and Pearson's R
100

What is the level of measurement of gender?

Nominal

100

Why do we need to calculate intercoder reliability?

To ensure objectivity.

100

What is the cutoff of the p-value for a significant result? 

p < 0.01 or p < 0.05 or p < 0.001

100

For T-test and ANOVA, the IV needs to be _____ measurement, and the DV needs to be _______.

IV: Nominal; DV: interval/ratio

100

For Chi-squared, the IV needs to be _____ (measurement level), and the DV needs to be _______. For Pearson's r, the IV needs to be _____ (measurement level), and the DV needs to be _______.

Chi-suqared: Nominal, Nominal

Pearson's r: interval/ratio, interval/ratio

200

What is the level of measurement of a 1 to 5 point scale?

Interval

200

What's the difference between a coding scheme vs a coding sheet?

Coding scheme: rule telling the coders how to code.

Coding sheets: the working sheet coders actually code.

200

What is confidence interval? 

A range of values within which the population parameter is estimated to fall.

200

What is degree of freedom?

The number of observations that are free
to vary in calculating each statistic

200

Which statistical method requires your variables to be continuous variables? 

Pearson's r

300

Why do we say a "true" probability sample only exists hypothetically?

Because we cannot guarantee that everybody has an equal chance to be selected in reality.

300

“Content analysis is a method of studying and analyzing communication in a systematic, objective, and quantitative manner for the purpose of measuring variables.”

Explain what systematic, objective, and quantitative mean.

Systematic: information to be analyzed selected using consistent rules

Objective: not biased by researcher’s idiosyncrasies

Quantitative: can be counted in mathematically meaningful way

300

What are type I and type II error?

Type I = false positive

Type II = false negative

300

What is the main difference between T-test and ANOVA?

T-test only tests two groups; ANOVA tests two or more groups.

400

What is the difference between cluster sampling and stratified sampling?

Cluster: identify naturally occurring clusters, randomly select one cluster, and randomly sample from it.

Stratified: develop strata of your population, and your sample should reflect that strata

400

How is content analysis different than qualitative textual analysis?

Content analysis: your concepts needs to be easily countable.

Qualitative textual analysis: your concepts rely more on your own interpretations.

400

In a normal distribution, what is the relationship between mean, mode, and median?

mean = mode = median

400

ANOVA is called analysis of variance because ______.

It examines the difference between within-group variation and between-group variation

400

How does Pearson's R work?

The correlation between two variables in terms how they change when the other changes, not causation.

500

Why do we want to aim for the "highest" level of measurement?

More statistical options; can always collapse down to lower levels.

500

How do we calculate percentage of agreenment?

total number of agreements/total number of reviews*100

500

What is the difference between standard deviation and standard error?

Standard deviation = how much individual value deviates from the mean of the sample

Standard error = how much the mean of a sample deviates from other samples' means

500

When we compare three groups, why should we use ANOVA instead of several T-tests comparing two groups every time (1 and 2, 2 and 3, 1 and 3)?

It inflates the possibility of type I error.

500

How does chi-squared work?

The deviation between observed and expected frequency.