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Sport Psychology 3 2660
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Cards (34)
Dependent
variable
The
behaviour
of the subjects in psychology
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Dependent variable in Coach Hume's project
The
girls'
behaviour during
practice
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Independent
variable
The
treatment
or
intervention
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Independent variable in Coach Hume's study
The
element chart
she had put up
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Four components of the reversal replication design
1.
Baseline
phase
2.
Treatment
phase
3. Reversal to
baseline
phase
4. Replication of
treatment
phase
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Baseline
phase
Sessions conducted with performance monitored
without
intervention
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Treatment
phase
Using the
self-monitoring
plus feedback page/
chart
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Reversal to baseline phase
Checking for
uncontrolled
variables
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Replication phase
Applying the treatment plan again
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Internal validity
The
independent
variable did in fact cause the observed
changes
in the dependent variable
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Sport example of
internal validity
When the rider counted strides out loud, they had better
distance
with their jumps
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Factors that give confidence an effect has been observed
Last few
baseline
data points stable/opposite to
predicted
effect
Effect
replicated
multiple times
Few overlapping data points between
baseline
and
treatment
Effect observed
soon
after
treatment
introduced
Large
effect size
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A limitation of the reversal replication design is that it may be
undesirable
or
impossible
to obtain a reversal
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Sport example of limitation of
reversal replication
design
Once a volleyball player knows how to do an overhand serve, they won't go back to
underhand
serve
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Sport example of
multiple-baseline
design across people
Soccer
player imagines stealing the ball
5
times a day, then does it in the game
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External validity
When a finding can be generalized to other
behaviours
, individuals, settings, or
treatments
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Sport example of
external validity
Baseball
players all
improve
their swing the same way
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Potential
limitations
of
multiple-baseline
design across people
Subjects might explain
treatment
or model
desirable
behaviour to others
Not always possible to find
two
+ subjects and additional
observer
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Sport example of multiple-baseline design across behaviours
Rider
works on keeping
heels
down, then works on keeping hands steady
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Limitations of multiple-baseline design across behaviours
Improvement in
all
categories when treatment applied to first behaviour
May not be possible to find
two
+ suitable behaviours or sufficient
observers
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Sport example of multiple-baseline design across situations
Volleyball
player works on follow through on serve, then on
hit
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Limitations of multiple-baseline design across situations
Treatment
applied to first situation may cause
improvement
in all settings
Behaviour may occur in only
one
setting
Not enough
observers
to gather data
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Sport example of
alternating-treatments
design
Golfer
alternates between
golfing
outside and golfing inside in different sessions
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Advantages of alternating-treatments design over
reversal replication
and
multiple-baseline
designs
Allows
comparison
of treatment effects within individual
Can include ongoing
baseline
as condition
All
conditions
introduced concurrently, avoids lengthy baselines/
treatments
Can terminate less
effective
treatments early
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Limitations of alternating-treatments design
Generalization
may occur due to
similarities
between conditions
Contrasting effects
may enhance
differences
between conditions
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Interobserver reliability (IOR) assessment
Assessment to ensure records of athletes' behaviour are
accurate
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Strategy for computing IOR score
Divide
smaller
total of dependent variable (recorded by one observer) by larger total (recorded by other observer), then multiply by
100
%
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Treatment integrity
assessment
Experimenter
prepares
checklist of critical treatment components,
two
observers regularly assess if treatment applied as outlined
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Characteristics of single-subject research designs
Interobserver
reliability assessment
Treatment
integrity/
procedural
reliability assessment
Repeated measurement of
dependent
variable, not just
pre
/post
No
control
groups, all subjects studied under all conditions
Rely on
visual inspection
of data to assess treatment effects
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Control-group experiment strategy
Involves
two
groups -
control
group that does not receive treatment, and experimental group that does receive treatment
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Commonalities between group designs and single-subject designs
Goal of evaluating effects of
independent
variable on
dependent
variable
Require acceptable
interobserver
reliability assessments
Require acceptable
procedural
reliability assessments
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Characteristics of single-subject designs that distinguish them from group designs
Require
repeated
measurement of
dependent
variable, not just pre/post
No
control
groups, all subjects studied under
all
conditions
Rely on
visual
inspection of data, not
statistical
significance between groups
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Limitations of control-group methodology for behavioural sport psychology
Difficult to locate enough subjects with same
performance
problem to form
groups
Coaches/athletes may resist
no-treatment
control group
Focus on
average
group performance at particular time, not
continuous
individual monitoring
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Features of single-subject design that make them "user-friendly" for sport psychology practitioners
Require only
small
number of subjects to demonstrate
validity
Athletic
performance monitored
continuously
across practices/competitions
All subjects exposed to both
baseline
and
treatment
conditions
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