Exam type memorizing the whole year Flashcards

(42 cards)

1
Q

Research steps

A

1-Find a research idea
2- Form a hypothesis
3-Determine How you will define and measure your variables
4-Identify the participants for the study, decide how they will be selected, plan for their ethical treatment
5-Select a research strategy
6-Select a research design
7-Conduct the study
8-Evaluate the data
9- Report the results
10-Refine or Reformulate your research idea

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2
Q

Methods of acquiring knowledge

A

method of tenacity
method of intuititon
method of authority
rational method
method of empirical

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3
Q

research article parts

A

introduction
method
results
discussion
references

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4
Q

validity

A

face validity
concurrent validity
predictive validity
construct validity
convergent validity
divergent validity

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5
Q

reliability

A

test retest reliability
inter rater reliability
split half reliability

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6
Q

subject role behaviors

A

good subject role
negativistic subject role
apprehensive subject role
faithful subject role

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7
Q

ethics APA

A

1- no harm
2- privacy and confidentiality
3- institutional approval
4- competence
5- record keeping
6-informed constent to research
7-dispensing with informed constent
8-offering inducements for research participation
9- deception in research
10- debriefing

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8
Q

probability Sampling methods

A

1-simple random sampling
2- systematic sampling
3-stratified random sampling
4-proportionate stratified random sampling
5-cluster sampling
6-combined strategy sampling

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9
Q

nonprobability sampling

A

1-convenience sampling
2-quota sampling

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10
Q

research strategies

A

descriptive
correlational
experimental
quasi experimental
non experimental

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11
Q

threats to external validity generalizing across participants

A

selection bias
college students
volunteer bias
participant characteristics
cross species generalizations

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12
Q

threats to external validity generalizing across features of a study

A

novelty effect
multiple treatment interference
experimenter characteristics

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13
Q

threats to external validity generalizing across features of the measures

A

sensitization
generality across response measures
time of measurement

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14
Q

threaths to internal validity (confounding variable)

A

environmental variables
individual differences
time related variables
differential attrition
communication btw groups

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15
Q

controlling extraneous variables

A

holding a variable constant
matching values
randomization

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16
Q

advantages and disadvantages of btw subject design

A

disadvantage:
individual differences (high variance)
large number of participants needed
advantages
there is no time related effect

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17
Q

communication btw groups

A

diffusion
compensatory equalization
compensatory rivalry
resentful demoralization

18
Q

threats to internal validity of within subjects experiments

A

confounding from environmental variables
confounding from time related variables

19
Q

confounding from time related variables

A

history
maturation
instrumentation
regression to the mean
order effects (fatigue,practice,carry over effects)

20
Q

dealing with time related threats and order effects

A

controlling time
switch to a btw subject desing
counterbalancing

21
Q

limitations of counterbalancing

A

counterbalancing and variance
asymmetrical order effects
counterbalancing and the number of treatments

22
Q

advantages and disadvantages of within subject design

A

requires less participants
no individual differences

time related factors
participant attrition

23
Q

non experimental and quasi experimental types

A

btw subjects design:
-differential resdearch
-posttest only non equivalent control group
-pretest posttest non equivalent control group
cross sectional developmental

within subjects
-pretest posttest
-time series
-longitudinal developmental

24
Q

strengths and weaknesses of longitudinal research and cross sectional research

A

strenghts of longitudinal
no cohort or generation effect
asseses individual behavior changes

weaknesses of longitudinal
time consuming
participant attrition
practice effects

strenghts of cross sectional research
time efficient
no longterm cooperation required

weaknesses of cross sectional
individual changes not assessed
cohort or generation effect

25
mixed design and combined strategy
mixed design: combining btw and within subject into 1 study: factorial study combined strategy: nonexperimental experimental and quasiexperimental as factors if pretest posttest control group design has random assignment within the start of it, it becomes experimental factor
26
applications of factorial designs
-expanding and replicating a previous study -reducing variance in btw subjects design -evaluating order effects in within subjects design (couterbalancing as factor)
27
-evaluating order effects in within subjects design
it has three conclusion 1- no order effects (no interaction) 2- symetrical order effects (interaction with same forces) 3- assymentrical order effects (interaction with different forces)
28
linear vs monotonic
pearson vs spearman
29
evaluating relationships for nonnumerical scores for nominal scales
1. if one of the scores is numerical one of them is non numerical changing nominal values as 0 to 1 2. both are non numerical using matrix and look frequency
30
strenght of the correlation
coefficient of determination statistical significance
31
applications of correlational strategy
prediction defining reliability and validity evaluating theories
32
advantages and disadvantages of correlation
high external validity third variable problem directionality problem does not tell us cause and effect
33
2 major problems with behavioral observation
1-presence of observer (habituation or concealing the observer) 2-subjective interpretation (inter rater reliability)
34
quantifying observations
1-frequency method 2-duration method 3-interval method
35
sampling observations
1- time sampling 2- event sampling 3-individual sampling
36
types of observation
1-naturalistic observation 2-participant observation 3-contrived observation
37
types of survey questions
open ended restricted rating scale
38
applications of the case study design
rare phenomena and unusual clinical cases new therapy methods or applications
39
strenghts and weaknesses of case study design
strenghts: -not averaged over a diverse group -detailed description -vivid powerful, convincing -compatible with clinical work -can study rare and unusual events -can identify expectations to the rule weaknesses: -limited generalization -potential for selective bias -potential for subjective interpretation
40
critical elements of a single case experimental design
1- manipulation 2- control for control 1 baseline 2 repeated observations 3 replication
41
visual inspection techniques
change in average level immediate change level change in trend latency of change
42
differences btw single case and traditional group design
1- only one participant 2-more flexible 3-continuous assessment