PSYC 302 Final Exam Lecture and Textbook Content
UPDATED ACTUAL Questions and CORRECT Answers
Repeated measures design -IV is tested within subjects
Single-factor, between subjects designs -More complex designs are preferred
-Unlikely to get published vs more complex ones
Independent groups design -Randomly assign groups
-Different participants in the groups, so not within subjects
-Same as between-groups
Single factor two level designs -One IV, two conditions
-Ex.: written vs typed notes
-Memory test as DV operationalization of this example
Inter-rater reliability -Form of reliability, multiple scoring, compare scoring
Two-level ex-post facto design -Example would be looking at individuals post-TBI incident
-Control group might be those with no TBI, and use a matched design
-Looking at cognition capabilities in those with a without TBI
-External validity is a concern here
Kurtosis -"Squeezy-ness"
-Irregularities away from the normal distribution curve
-Positive, negative, and zero (gaussian) kurtosis
Leptokurtic -Positive kurtosis, thin (tall and thin)
, Mesokurtic -No kurtosis
-Gaussian/binomial distribution, normal curve
Platykurtic -Flattened
-Negative kurtosis
Area under the normal curve -0.1%, 2.1%, 13.6%, 34.1%
Forms of central tendency -Positive skew
-Symmetrical
-Negative skew
Positive skew -Mode is lower than median
-Mean is higher than median
Negative skew -Mode is higher than median
-Mean is lower then median
Monotonic function Function that is either entirely non-increasing or non-decreasing
Non-monotonic function Function that has both increases and decreases
Negative/Positive Increasing/Decreasing functions
Scatterplots Visually show correlation
Linear regression modeling equation y=mx+b
Types of single-factor designs -Independent samples t-tests
-One-way ANOVAs
-Dependent (or repeated measures or correlated) samples t-tests
N.B. note well (nota bene)
Single factor, two levels, two cells
Factors Independent variables
Levels the individual conditions or values that make up a factor
UPDATED ACTUAL Questions and CORRECT Answers
Repeated measures design -IV is tested within subjects
Single-factor, between subjects designs -More complex designs are preferred
-Unlikely to get published vs more complex ones
Independent groups design -Randomly assign groups
-Different participants in the groups, so not within subjects
-Same as between-groups
Single factor two level designs -One IV, two conditions
-Ex.: written vs typed notes
-Memory test as DV operationalization of this example
Inter-rater reliability -Form of reliability, multiple scoring, compare scoring
Two-level ex-post facto design -Example would be looking at individuals post-TBI incident
-Control group might be those with no TBI, and use a matched design
-Looking at cognition capabilities in those with a without TBI
-External validity is a concern here
Kurtosis -"Squeezy-ness"
-Irregularities away from the normal distribution curve
-Positive, negative, and zero (gaussian) kurtosis
Leptokurtic -Positive kurtosis, thin (tall and thin)
, Mesokurtic -No kurtosis
-Gaussian/binomial distribution, normal curve
Platykurtic -Flattened
-Negative kurtosis
Area under the normal curve -0.1%, 2.1%, 13.6%, 34.1%
Forms of central tendency -Positive skew
-Symmetrical
-Negative skew
Positive skew -Mode is lower than median
-Mean is higher than median
Negative skew -Mode is higher than median
-Mean is lower then median
Monotonic function Function that is either entirely non-increasing or non-decreasing
Non-monotonic function Function that has both increases and decreases
Negative/Positive Increasing/Decreasing functions
Scatterplots Visually show correlation
Linear regression modeling equation y=mx+b
Types of single-factor designs -Independent samples t-tests
-One-way ANOVAs
-Dependent (or repeated measures or correlated) samples t-tests
N.B. note well (nota bene)
Single factor, two levels, two cells
Factors Independent variables
Levels the individual conditions or values that make up a factor
