PSYC 210 – SFU -false negative -researchers conclude that there is no effect when there really is
one Questions with CORRECT Answers (Grade A+)
Question 1:
PSYC 210 – SFU Questions with Correct Answers -false negative -researchers conclude that there is
no effect when there really is one type 2 error (retain a false null hypothesis) The probabilities of
making a correct decision or an error are proportional to β
- back up things you say w/ evidence
- empirically evaluate the relationships Why are stats important?
- fundamental to conducting, critiquing and understanding
- overcomes belief biases and discover new findings
- discovery of regularities > description > discovery of laws (reliable co-occurences) >the
search for causes
- development of theories What is the goal of science? > theories must be falsifiable
- theory generation > observe the real world > read other research > talk to colleagues
Latent variable analysis
- something that we want to observe but we cant quite measure
- are they all measuring one thing or not item response theory
- are all questions giving a good idea of the construct (if yes then do a sum score)
- going thro each Q and measuring if they are good measurement extraneous
(confounding) variables
- something lurking behind the scenes not controlled Representativeness
- does it properly represent the population
- you might get the mean but it could be wrong
one Questions with CORRECT Answers (Grade A+)
Question 1:
PSYC 210 – SFU Questions with Correct Answers -false negative -researchers conclude that there is
no effect when there really is one type 2 error (retain a false null hypothesis) The probabilities of
making a correct decision or an error are proportional to β
- back up things you say w/ evidence
- empirically evaluate the relationships Why are stats important?
- fundamental to conducting, critiquing and understanding
- overcomes belief biases and discover new findings
- discovery of regularities > description > discovery of laws (reliable co-occurences) >the
search for causes
- development of theories What is the goal of science? > theories must be falsifiable
- theory generation > observe the real world > read other research > talk to colleagues
Latent variable analysis
- something that we want to observe but we cant quite measure
- are they all measuring one thing or not item response theory
- are all questions giving a good idea of the construct (if yes then do a sum score)
- going thro each Q and measuring if they are good measurement extraneous
(confounding) variables
- something lurking behind the scenes not controlled Representativeness
- does it properly represent the population
- you might get the mean but it could be wrong
