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Research Designs/Basic Statistics Flashcards | StudBud
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Research Designs/Basic Statistics
Research Designs/Basic Statistics
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1
What is the second step in the scientific method
Formulate a hypothesis/research questions
Determine the observable consequences of the hypothesis/research question
Identify a problem
Define the problem
2
What is the fifth step in the scientific method
Formulate a hypothesis/research questions
Determine the observable consequences of the hypothesis/research question
Test the hypothesis
Identify a problem
3
When a third variable is expected to explain some of the variance in the systematic differences between groups
MANOVA
ANOVA
One-Way Repeated ANOVA
ANCOVA
4
extraneous variables that vary systematically with the levels of the IV(s)
External validity
Confounds
Internal validity
Measurement Validity
5
What does SEM mean?
standard deviation of the scores
None of these
reliability coefficient of the test
Standard error of measurement. a range in which scores are likely to fall
6
changes in the DV owing to participants’ beliefs about the efficacy of the treatment
Extraneous Variables
Placebo effect
Non-specific treatment effects
Specific Item effects
7
What does it mean when your study focuses on same group compared at different times
Outcome evaluation
Cohort-sequential approach
Longitudinal study
Cross-sectional study
8
Identify the conditions or factors under which certain events are likely to happen in the future.
Improvement
Explanation
Prediction
Description
9
This error occurs when we do not find something that actually exists
Type II Error
Type I Error
10
this experimental design that has different groups for every level of the experiment
mixed factorial
None of these
Within-subjects
Between-Subjects
11
what experimental design let's the participants experiences all levels of the experiment?
Between Subjects
Mixed Factorial
None of these
Within-subjects
12
can only take on a whole number
discontinuous variable
continuous variable
operational definition
construct
13
the specific stimuli chosen influence the DV
Extraneous Variables
Placebo effect
Non-specific treatment effects
Specific Item effects
14
Experimental research includes manipulation of atleast one IV, control of extraneous variables and random assignment
False
True
15
Fatigue improves performance with continued task experience, not because of the IV itself
True
False
16
What is the first step in the scientific method
Identify a problem
Formulate a hypothesis/research questions
Test the hypothesis
Determine the observable consequences of the hypothesis/research question
17
Practice effects decreases performance from task continuance, not because of the IV but just prolonged participation
True
False
18
What correlation is this an example of?
Negative
No Correlation
Positive
19
answer to a question on how to measure a construct
operational definition
construct
discontinuous variable
continuous variable
20
Comparison of multiple groups on multiple DVs
MANOVA
ANOVA
One-Way Repeated ANOVA
ANVOVA
21
This will have one portion where every participant experiences all IVs and another part where not everyone does.
mixed factorial
Within-subjects
Between-Subjects
None of these
22
the average score of the score set
Median
Mode
Mean
Range
23
What correlation is this an example of?
Positive
Negative
No Correlation
24
When you have a single group measured repeatedly. The intervention does not change across time.
ANOVA
ANVOVA
MANOVA
One-Way Repeated ANOVA
25
Establish a baseline against which you can determine manipulation effects
manipulation checks
Random assignment
Salience
control condition
26
Selection occurs in an unsystematic, random, or chance manner
random sampling
Probability sampling
Nonprobability sampling
cluster sampling
27
has equal intervals, and a true zero
Internal
Ratio
Ordinal
Nominal
28
score can take on any values between lowest and highest possible score (e.g., number line)
operational definition
continuous variable
discontinuous variable
construct
29
middle number of the number set or score
Median
Mean
Mode
Range
30
An asymmetrical graph distribution is the same on the left as it is on the right
True
False
31
Most common number
Mean
Mode
Median
Range
32
Document the current “state of affairs” and document new discoveries. Ask new questions based on current knowledge
Description
Prediction
Explanation
Improvement
33
What percent is -3σ to 3σ
68 %
None
95 %
>99 %
34
numbers represent labels/names
Nominal
Internal
Ordinal
Ratio
35
Tests to be used with non-normally distributed data
Parametric tests
Null Hypothesis
Alternative hypothesis
Nonparametric tests
36
What is the fourth step in the scientific method
Identify a problem
Determine the observable consequences of the hypothesis/research question
Formulate a hypothesis/research questions
Test the hypothesis
37
This error occurs when we try to find out something that does not possibly exist
Type II Error
Type 1 Error
38
The extent to which there are other plausible explanations for the change in the DV(s).
Confounds
Internal validity
External validity
Measurement Validity
39
an exact replication increase confidence in a finding/increase caution. This is be very important but can be uncreative
False
True
40
equal intervals between data points
Internal
Nominal
Ratio
Ordinal
41
What is the third step in the scientific method
Determine the observable consequences of the hypothesis/research question
Identify a problem
Formulate a hypothesis/research questions
Define the problem
42
To what extent does our theory or do our findings differ from how the construct is realized in real life & generalize
Confounds
Internal validity
Measurement Validity
External validity
43
Usually 3 or more groups (can run with 2) with 1 DV
ANOVA
One-Way Repeated ANOVA
MANOVA
ANVOVA
44
Tests to be used with normally distributed data
Alternative hypothesis
Null Hypothesis
Nonparametric tests
Parametric tests
45
What does it mean when your study focuses on different groups compared at the same time
Cohort-sequential approach
Cross-sectional study
Outcome evaluation
Longitudinal study
46
What percent is -1σ to 1σ
95 %
>99 %
None
68 %
47
Provide a reason for a phenomenon. Build and test theories
Explanation
Prediction
Improvement
Description
48
All persons in the population (theoretically) have a chance of being selected.
random sampling
Probability sampling
cluster sampling
Nonprobability sampling
49
What percent is -2σ to 2σ
None
68 %
95 %
>99 %
50
the extent to which a manipulation or score on a measure (as interpreted) is an accurate reflection of the construct
Internal validity
Measurement Validity
Confounds
External validity
51
The researcher determines that a specific variable within a population will have impact on the study.
Probability sampling
Nonprobability sampling
Stratified random sampling
cluster sampling
52
What correlation is this an example of?
No correlation
Positive
Negative
53
What does it mean when your study focuses on different groups compared at different times
Cross-sectional study
Outcome evaluation
Cohort-sequential approach
Longitudinal study
54
Correct errors in practice. Make informed changes.
Explanation
Improvement
Description
Prediction
55
numbers represent a ranked order
Nominal
Ordinal
Ratio
Internal
56
other variables that can influence the DV
Specific Item effects
Extraneous Variables
Non-specific treatment effects
Placebo effect
57
difference between the highest and lowest number
Range
Mean
Median
Mode
58
Validity: the extent to which a measure is accurate
True
False
59
Every individual in the population does not have a chance to be in the study.
Probability sampling
Nonprobability sampling
cluster sampling
random sampling
60
Assumes there are no differences between the groups
Null Hypothesis
Parametric tests
Alternative hypothesis
Nonparametric tests
61
changes in the DV owing to the research experience but not the manipulation specifically
Specific Item effects
Placebo effect
Extraneous Variables
Non-specific treatment effects
62
something we want to measure (e.g., depression)
construct
operational definition
continuous variable
discontinuous variable
63
Carryover effects are an effect of one level of the manipulation influences performance on the next
False
True
64
Statement of significant difference between the groups (there will be a difference due to systematic variance)
Alternative hypothesis
Nonparametric tests
Parametric tests
Null Hypothesis
65
Reliability: the extent to which a measure is consistent
True
False