Exp. Final

1. 1One Way designs

   1. Ais the simplest possible experimental design
   2. Binvolve more than one IV
2. 2One way designs

   1. Ainvolve the manipulation of only one variable, single IV
   2. Bhave more than one IV, each has 2 levels
3. 3One way Designs

   1. Amust have a minimum of two groups
   2. Bmust have 2 levels
4. 4a two-groups design is

   1. Athe simplest type of one way design
   2. Ban example of factorial desings
5. 5a one-way design with only two groups is most often analyzed with

   1. Aindependent samples t test
   2. Bfactorial designs
   3. Cwithin subjects designs
6. 6experimental designs with more than two groups are called

   1. Amultiple groups desings
   2. Bunivariate
   3. Cfactorial desings
7. 7one way multiple groups designs are most often analyzed using

   1. Aone way analysis of variance(ANOVA)
   2. Bchi square
8. 8experimental designs involving more than one IV are called

   1. Afactorial designs
   2. Bchi square
   3. Cone way
9. 9in a factorial design each IV has

   1. Aat least two levels
   2. Bno levels
   3. Cone level
10. 10in a factorial design, another term for levels is

    1. Aconditions of the variable
    2. Bchi square
    3. Chypothesis

11. 11In a factorial designs, each IV is represented by

    1. Aa separate number
    2. Bcommas
    3. Cperiods
    4. Dhypothesis
12. 12each IV is represented by a separate number which indicates

    1. Athe number of levels for that variable
    2. Bhypothesis
13. 13for example, a 2x2 design has

    1. A2 IV with 2 levels each
    2. Bfour
14. 14For example, 2x3x4 has how many IV's?

    1. Aone
    2. Btwo
    3. Cthree
15. 15in a 2x3x4 the first level has ___ the second has ____ levels and the third has ____

    1. A2, 3, 4
    2. B4, 3, 2,
    3. C0, 0, 0
16. 16factorial designs if only one DV is measures are most commonly analyzed using

    1. Aunivariate analysis
    2. Bmultivariate analysis
    3. Cone way design
17. 17a factorial design with multiple DV's are analyzed using

    1. AMultivariate analysis of variance, MANOVA
    2. Bchi-square
    3. Chypothesis
18. 182x2 designs utilize a

    1. Atwo way anova
    2. Bone way ANOVA
19. 192x2x2 designs utilize a

    1. A3 way ANOVA
    2. B2 way ANOVA
20. 20what are the 3 possible outcomes from a factorial desing

    1. Ano significance, main effects, interactions
    2. Bchi-square
21. 21main effects indicate

    1. Athat a DV is significantly different across the levels of an IV regardless of any other IV
    2. Bthat a DV is only significantly different across the levels of an IV depending on the level of a second variable
22. 22interactions indicate that

    1. Aa DV is only significantly different across the levels of an IV depending on the level of a second IV
    2. Ba DV is significantly different across the levels of an IV regardless of any other IV
23. 23within subjects are also called

    1. Arepeated measures designs
    2. Bchi-square
24. 24within subject desings

    1. Aare those in which a participant serves in more than one condition of a study
    2. Bchi-square
25. 25what are the advantages of within subjects designs

    1. Afewer participants are needed because they are used in multiple conditions & the design is more powerful.
    2. Bit has none
26. 26more advantages of within subjects designs are

    1. Athere is less noise due to the individual differences, thus person confounds are eliminated
    2. Bnot good
27. 27disadvantage of within subjects designs

    1. Asubject to certain forms of bias
    2. Bthey suck
28. 28sequence effects

    1. Awhen the passage of time between conditions has an effect on performance
    2. Bwhen responses to one stimulus directly influence the responses to another stimulus
29. 29carryover effects

    1. Awhen responses to one stimulus directly influence the responses to another stimulus, like figuring out the Research hypothesis
    2. Bwhen the passage of time between conditions has an effect on performance
30. 303 types of carryover effects

    1. Aorder effects, practice effects, interference effects
    2. Bchi-square, anova, hypothesis
31. 31order effects

    1. Awhen a question takes on a different meaning following one question versus another or when a stimulus is influences following another stimulus
    2. Bwhen an experience with one task makes it easier for someone to perform a different task
32. 32practice effects

    1. Awhen an experience with one task makes it easier for someone to perform a different task
    2. Bwhen an experience with one task makes it more difficult for someone to perform a different task
33. 33interference effects

    1. Awhen an experience with one task makes it more difficult for someone to perform a different task
    2. Bwhen an experience with one task makes it easier for someone to perform a different task
34. 34solutions to problems of within subject designs

    1. Acounter, complete, reverse, partial-balancing
    2. Bchi-square
35. 35counterbalancing

    1. Aresearcher varies the order in which participants experience the experimental conditions
    2. Bevery possible order of experimental treatments
36. 36complete counter balancing

    1. Aevery possible order of experimental treatments
    2. Bcreate a single order and then reverse it
37. 37reverse counterbalancing

    1. Acreate a single roder and then reverse it
    2. Bevery possible order of experimental treatments
38. 38partial counterbalancing

    1. Aselecting orders at random
    2. Bcreate a single order and then reverse it
39. 39within subjects designs are most often analyzed using

    1. Apaired samples T-test or repeated measures analysis of variance
    2. Bchi-square
40. 40In mixed model designs

    1. Aat least one IV is manipulated between subjects,
    2. Bone IV is not manipulated
41. 41mixed-model designs are analyzed using

    1. Amixed-model linear equation modeling
    2. Bbivariate analysis
42. 42what are the four types of scales

    1. Anominal, ordinal, ratio, interval
    2. BIndependent
    3. Cdependent
43. 43nominal scales are

    1. Aclassification of objects and placing them into specific categories
    2. Bshow the magnitide of whether a particular variable
44. 44which one tends to be more qualitative rather than quantitative

    1. Anominal
    2. Bordinal
45. 45Buddhist, Christian, Jewish, Religious affiliation

    1. Anominal
    2. Bordinal
46. 46ordinal

    1. Ashows the magnitude of whether of a particular variable is present
    2. Bclassification of objects and placing them into specific categories
47. 47rank ordering is

    1. Aordinal
    2. Bnominal
    3. Cratio
    4. Dinterval
48. 48College Basketball ranking

    1. Aordinal
    2. Bnominal
49. 49interval scale

    1. Aequal distance between the units
    2. Bshows the magnitude of whether a particular variable
50. 50an example of interval scale is

    1. Atemperature
    2. Breligion
51. 51Ratio

    1. Acontains all the properties of interval scales but does not contain an absolute zero point
    2. Bhas equal distance between the units

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Quiz on Exp. Final, created by Angelica Lopez on 10/12/2017.

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