Free Online Flashcard Deck

6 Quantitative Research Methods Free Online FlashCards

Study 6 Quantitative Research Methods with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What is quantitative research?

Back

It uses systematically collected numerical data to describe patterns, compare groups, test relationships, or estimate intervention effects.

02
Front

What is operationalization?

Back

Operationalization specifies exactly how an abstract concept will be measured or manipulated.

03
Front

What makes a measure valid?

Back

A valid measure assesses the concept it is intended to measure.

04
Front

What is a nominal variable?

Back

A nominal variable consists of categories without an inherent order, such as major.

05
Front

What qualities make survey questions good?

Back

They should be clear, specific, and neutral. Avoid asking two things at once or suggesting a preferred answer.

06
Front

How can survey sampling bias estimates?

Back

An unrepresentative sample or substantial nonresponse can bias estimates, regardless of how many people were surveyed.

07
Front

Why use random assignment in an experiment?

Back

Random assignment helps balance other influences between groups, supporting a causal interpretation of outcome differences.

08
Front

What distinguishes observational research, and what can it establish?

Back

Researchers measure variables as they naturally occur rather than assigning a treatment or exposure. An observed association alone does not establish causation.

09
Front

What do descriptive statistics do?

Back

They summarize collected data: counts and percentages describe categories, while the mean and median describe typical values.

10
Front

What does a confidence interval communicate?

Back

It gives a range of estimates reflecting sampling uncertainty. Its width depends in part on sample size and variability.

11
Front

What does a p-value mean?

Back

Assuming the null hypothesis and model assumptions, it is the probability of obtaining a result at least as extreme as the observed one. It is not the probability that the hypothesis is true.

12
Front

What makes a measure reliable?

Back

A reliable measure produces consistent results under comparable conditions.