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Statistics and Quantitative Data Analysis flashcards

37 flashcard decks by 27 users

This GoConqr page gathers over 33 community-made resources on Statistics and Quantitative Data Analysis flashcards: quizzes, mind maps, flashcards and notes to revise and practise with.

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About statistics and quantitative data analysis flashcards

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Statistics and quantitative data analysis flashcards

These decks offer question-and-answer practice on topics across the unit. Research Methods covers types of multiple regression, while Moderation and Mediation asks about interactions and mediation. Other decks address analysis of variance, causal research and data presentation.

Choose a starting point

For regression, start with Research Methods and use its questions to recall the different approaches. If you are studying factor analysis, try the lecture deck that asks what the method is good for. A separate deck takes you through checks and output to look at when running a factor analysis.

Use the cards alongside other formats

Work through a deck, then return to questions you find difficult. When you want to see how ideas connect, switch to a mind map on the unit page. A quiz can provide a different way to check your recall. Choose a topic and try a deck.

Frequently asked questions

Which flashcard deck could I start with?

For multiple regression, Research Methods is a useful starting point: its cards ask about standard, hierarchical and step wise approaches. For factor analysis, the lecture deck asks what the method is good for, while another deck covers checks and output to look at when running it.

Are these flashcards free to use?

Yes. Every resource listed on this page is free to open and study without an account. The decks were made by GoConqr users. A free account can also save quiz scores and lets you make your own quizzes, mind maps, flashcards and notes.

What topics do the flashcards cover?

The decks cover multiple regression, factor analysis, moderation and mediation, and analysis of variance. Other cards address causal research, including case selection, matching estimators and instrumental variables. There is also a deck on data recording, analysis and presentation.

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