exam 1 Flashcards

1
Q

descriptive research

A

examines group differences, relationships among variables through observations
-DESCRIBING. NOT INTERFERE OR CHANGE

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2
Q

experimental research

A

looks at cause-effect through manipulation of certain variables on measures under controlled conditions.

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3
Q

experimental design

A

-manipulates 1+ variables while using CONTROL mechanisms to evaluate change in behavior/outcome measure

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4
Q

single subject experimental designs

A

small number of participants (usually less tan 5)

-ex control mechanisms= baselines, rapid alt, withdrawal

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5
Q

group experimental designs

A

large number of participants (usually greater than 10 per group)
-control mechanism= control group (random best)

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6
Q

correlational study

A

large number of participants
relationship among measures
measures at one time
early measures to later outcome measures

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7
Q

case study

A

descriptive research design
describe unique case
describe small treatment study- no control mechanism

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8
Q

dependent variable

A

outcome measure(s)

  • the effect you measure
  • measure that answers your research question
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9
Q

independent variable

A

the cause or factors that influence the measure or DV

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10
Q

active IV

A

manipulated by investigators

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11
Q

assigned IV

A

inherent characteristics of subjects, not manipulated by investigators, presumed to effect DV

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12
Q

part of a research paper

A
  • abstract
  • intro
  • methods
  • results
  • discussion
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13
Q

nominal data

A

mutually exclusive categories. naming

ex. type of hearing loss (SN or conductive). type of communication disorder, etc

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14
Q

ordinal data

A

mutually exclusive categories rank orders

  • mild, moderate, severe
  • low,middle, high
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15
Q

interval data

A

mutually exclusive categories rank orders- CONTINUOUS MEASURES

  • equivalent units throughout the scale
  • ex. standard tests on scores
  • NO ZERO (percentile ranks)
  • likert type of rating scales
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16
Q

ratio data

A

rank orders
equivalent units
ABSOLUTE ZERO
-ex. duration, dB of HL, number of disarticulations, raw scores on tests, etc

17
Q

negatively skewed data

A

floor effect

-our measure was too hard and everyone failed

18
Q

positively skewed data

A

ceiling effect

measure was too easy, everyone clustered toward the high end

19
Q

correlations

A

info about the direction and strength of relationships

  • how associated 2 measures/variables are
  • the closer to 1 the stronger the relationship
20
Q

multiple regression correlation

A

look at relative predictive value/strength of relationship between numerous variables and an outcome variable
-looks at more than 2 measures

21
Q

type 1 error

A

(p value) probability of saying there’s a difference between the groups when in actuality there’s not really a difference

22
Q

type II error

A

finding that there’s not a difference between groups when there really is a difference

23
Q

post hoc comparisons

A

when there’s more than 2 groups the ANOVA tells you there’s a difference somewhere - but post hoc tells you where the difference in within the groups

24
Q

MANOVA

A

multivariate analysis of variance

more than one dependent variable

25
Q

two way/three way ANOVA

A

more than one independent variable in a single analysis

-looks at significance for each IV, and also for interactions between the IVs