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Using EEG biofeedback in karate: The relationship
among anxiety, motivation and brain waves
Hakan Kolayis
Sakarya University, School of Physical Education and Sport, Sakarya, Turkey
Source of support: Departmental sources
Received: 24 June 2011; Accepted: 17 August 2011; Published online: 29 January 2012
Abstract
Background
The aim of the study was to investigate the comparison of anxiety, motivation and brain waves according to gender
and education levels. In addition, the study also examined the relationship among anxiety, motivation and brain
waves in kareteists.
Material/Method:
Sixty one participants voluntarily participated in the study. CSAI-2 (Competitive State Anxiety Inventory), STAI
(State Trait Anxiety Inventory), Sport Motivation Scale and Pro-Comp Infinity Biofeedback Device were used for
data collection. The data was analysed in SPSS 13.0 package program.
Results:
As a result of the study; While a significant difference between education levels was observed for the values of so-
matic anxiety and theta wave (p<0.05), there was no significant difference in trait anxiety, cognitive anxiety, so-
matic anxiety, self-confidence, intrinsic motivation, extrinsic motivation and amotivation (p>0.5). Pearson’s cor-
relation test revealed that there was only a significant positive correlation between the values of age and theta
brainwave (r: 0.654, p<0.05), whereas, there was no significant correlation between other variables (p>0.05).
Conclusions:
EEG biofeedback procedure is employed for reducing anxiety and increasing motivation and self confidence. The
present study helps to arrange these psychological patterns for athletes and coaches.
Key words:
anxiety • motivation • brain waves • self cofidence • karateist
Author’s address:
Hakan Kolayis; Sakarya University, School of Physical Education and Sport; Esentepe Campus, 54187, Sakarya,
Turkey; e-mail: hkolayis@sakarya.edu.tr
Background
The brain-body issue has always been a subject of hu-
man interest. Every physiological change whatsoever is
accompanied by a parallel change in mental and /or emo-
tional state [1] Green, Green and Walters (1970) have
formulated this central psychophysiological principle as
follows: “every change in the physical state is accompa-
nied by an appropriate change in the mental emotion-
al state, conscious or unconscious, and conversely ev-
ery change in the mental emotional state, conscious or
unconscious, is accompanied by an appropriate change
in the physiological state”. Essentially, this statement
reflects a very deep, firm view concerning the “eternal”
brain-body issue [2].
The electroencephalogram (EEG) is a complex bioelec-
tric signal that reflects the functional status of large
pools of cortical neurons and their modulation by sub
cortical regulatory influences. The interpretation of this
signal requires a comprehensive knowledge of both the
technical aspects of EEG recording and neurophysiolo-
gy of central nervous system. Thus, the application this
modality in the biofeedback context must be conduct-
ed or supervised by properly trained and experienced
professional [3].
The human brain produces a continuous output of min-
ute electrical signals. The magnitude of these signals is
so small that it is measured in microvolts (µv), or mil-
lionths of a volt. However, the signals can be accurate-
ly detected and recorded. To do this, the signals must
and Study Aim:
An electroencephalogram
(EEG) – is a test that
measures and records the
electrical activity of your
brain.
Authors’ Contribution:
A Study Design
B Data Collection
C Statistical Analysis
D Manuscript Preparation
E Funds Collection
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first be picked up by electrodes attached to the surface
of scalp and then amplified and filtered many thousands
of times before they can be analyzed. If these amplified
signals will appear as a continuous wave of varying fre-
quency and amplitude-the EEG [4].
The number of EEG cycles occurring within a given time
internal is called its frequency and measured in hertz
(Hz) or cycles per second (CPS). The greater number of
per second, the higher the frequency. The EEG appears
to contain four major frequency bands: beta (above 13
Hz), alpha (8–13 Hz), theta (4–7 Hz), and delta (0.5–
3.5 Hz). And EEG is not useful for determining specific
brain functions, but for discerning more general states
arousal, which are identified as: delta: deep sleep; the-
ta: period of dreaming; alpha: relaxed awareness; beta:
full alertness [4–8].
Research has shown that intrinsic motivation (IM) and
extrinsic motivation (EM) are important concepts for
understanding motivational processes in sport settings
[9,10]. IM refers to “doing an activity for its inherent
satisfactions and pleasures rather than for some sepa-
rable consequence” [11]. On the other hand, EM re-
flects behaviors that are performed not for their own
sake, but to achieve some separate goal (e.g., receiving
a reward, avoiding punishment, and maintaining con-
tingent self-worth). Finally, amotivation refers to the ab-
sence of IM or EM and is considered central to under-
standing motivated behavior [9]. As such, it is perceived
that one’s actions have no control over outcomes and
that forces beyond one’s individual control determine
behavior [12]. Previous research has shown that more
self-determined motives are positively associated with
various cognitive, affective, and behavioral outcomes in
sport settings [10–14].
The level of the individual’s motivation gain to con-
trol over his/her psychophysiological process needs to
be considered when selecting subject for research and
when developing a research design. If the individual
lacks the motivation to engage in change, biofeedback
will be ineffective since the efficacy of such a technique
ultimately lies within the individual. For this reason,
the extent to which the individual is motivated to al-
ter his/her psychophysiological responses is a potential
confounding variable that should not be neglected. The
potential influence that an individual’s level of moti-
vation may have biofeedback research out comes led
Ancoli and Kamiya (1978) to suggest that researchers
should document (a) the exact manner of participant
recruitment, including the selected individual’s motive
for participation and criteria for rejection of other in-
dividuals; and (b) the individual’s previous experience
and knowledge of biofeedback [15].
Anxiety is defined as a negatively-valenced psycholog-
ical state which arises under threatening circumstanc-
es and it leads to affective, physiological, and cognitive
changes [16]. Anxiety is also defined as an unpleasant
emotional state and it is often accompanied by fatigue,
exhaustion and some physiological symptoms [17].
According to Martens et al. [18] anxiety is comprised
of two parts which are somatic and cognitive anxiety.
Somatic anxiety refers to physiological and affective
components of anxiety which develop directly due to
autonomic arousal and cognitive anxiety is the mental
component of anxiety which is caused by negative ex-
pectations about success [18]. Moreover, Depending
on the degree to which anxiety is experienced, it could
decrease athletes’ performance [19–21]. Moreover,
Trait anxiety involves the general tendency to experi-
ence anxiety symptoms across a wide variety of stress-
ful situations [22].
According to Moran (1996), biofeedback training in
sport psychology has been used most extensively in the
treatment of performance anxiety. High level of anxiety
can be detrimental to motor learning, performance, and
participation in completion. One way to build self con-
fidence and reduce competition anxiety is to improve
performance skill. This can be accomplished over time
by providing athletes with biofeedback on their skill im-
provement, effort and if warranted their performance
outcome. An attempt to reduce state anxiety and im-
prove balancing performance on a stabilometer was con-
ducted in a study by Teague (1976) [4].
The purpose of this study was to examine how kara-
teists’ motivation, anxiety and brain waves are affect-
ed by gender and education level. This study employed
three approaches to shed light on this issue. First, a com-
parison of sport motivation, anxiety and brain waves be-
tween male and female. Second, a comparison of sport
motivation, anxiety and brain waves between universi-
ty and high school. Third, a relationship among anxi-
ety, motivation and brain waves.
Material and Methods
Participants
Sixty one participants (37 male made of 60.7% of par-
ticipants and 24 female made of 39.3% of the partici-
pants) voluntarily participated in this study. The mean
of their age was x: 18.15±2.09 year, the mean of their
training age was 7.97±2.39 year, education level of 21
of the participants (34.4%) was university and 40 of
the participants (65.6%) reported their educational lev-
el as high school.
Karateist – an athlete who
does a Japanese art of self-
defense in which sharp blows
and kicks are administered to
pressure-sensitive points on
the body of an opponent.
Motivation – is the driving
force by which humans
achieve their goals.
Anxiety – is a generalized
mood condition that can
often occur without an
identifiable triggering
stimulus.
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Measures
CSAI-2 (Competitive State Anxiety Inventory)
Competitive state anxiety inventory is used to mea-
sure cognitive anxiety, somatic anxiety and self confi-
dence. It was formed by Martens, Burton and Vealey
in 1981 and there are 27 questions in this inventory.
CSAI-2 was translated into Turkish and validity and
reliability were reported by Koruç in 1998. Translation
reliability was for cognitive anxiety;.925, somatic anx-
iety;.928, self confidence;.950. Test retest reliability
was found to be; cognitive anxiety;.961, somatic anx-
iety;.929, cognitive anxiety;.929, self confidence;.949.
In the result of the comparison, a significant difference
was not found between STAI and CSAI-2, ANOVA
{F(26, 1)=.69;8>.05}.. This finding was received as
criterion validity. Inventory loses decision near com-
petition as construction validity. It was found for two
weeks with row,.561,.672,.541, end of two days with
row,.230,.223,.321 [23].
STAI (State Trait Anxiety Inventory)
State Trait Anxiety Inventory was developed by
Spielberger et al. (1970) and in the present study. The
inventory was adapted into Turkish in 1985 by Öner
and Le Compte. The scale determines how an individ-
ual would feel, independently of a particular situation
he was in. The inventory is made up of 20 items and
provides a four-point Likert type assessment (1 is for
almost never, 4 is for almost always) and was used for
overlap validity in the present study. Cronbach’s alpha
of the scale was between.83 and.87 and test- retest re-
liability was reported to be between 34 and.72 [24].
Sport Motivation Scale
The Sport Motivation Scale (SMS; [25]) was used
to measure the motivation from multidimensional
perspectives based on the self-determination theory.
SMS consists of seven subscales that measure three
types of Intrinsic Motivation (IM; IM to Know, IM to
Accomplish Things, and IM to Experience Stimulation),
three forms of regulation for Extrinsic Motivation
(Identified, Introjected, and External), and Amotivation.
There were four items in each subscale with a total of
28 items. The stem question for all items was “Why do
you practice your sport”. The participants responded on
a 7-point subscale ranging from 1 (does not correspond at
all) to 7 (corresponds exactly). Example items include “…
Because it allows me to be well regarded by people that
I know (Extrinsic Motivation), “… For the pleasure I
feel while improving some of my weak points (Intrinsic
Motivation)”, and “It is not clear to me anymore; I
don’t really think my place is in sport (Amotivation)”.
The reliability and validity evidences of the SMS for
Turkish sample were obtained in a study carried out by
Kazak [26] IM to Know and IM to Accomplishment
subscales combined in one factor in the Turkish version
of the scale. The alpha coefficients for the present sam-
ple ranged from 0.55 (IM to Experience Stimulation)
to 0.84 (To Know/Accomplishment).
Pro-Comp Infinity Biofeedback Device
The Pro-Comp Infiniti is a new 8 channel, multi-modal-
ity encoder (Figure 1) that has all the power and flex-
ibility you need for real-time, computerized biofeed-
back and data acquisition in any clinical setting. The
first two sensor channels provide ultimate signal fidel-
ity (2048 samples per second) for viewing RAW EEG,
EMG and EKG signals. The remaining six channels (256
samples/sec) can be used with any combination of sen-
sors (Figure 2), including EEG, EKG, RMS EMG, skin
conductance, heart rate, blood volume pulse, respira-
tion, goniometry, force, and voltage input. Pro-Comp
Infiniti™ offers internal, user-activated calibration to
ensure that you can always obtain the highest quali-
ty signal, without the costly downtime associated with
factory re-calibration. In short, the Pro-Comp Infiniti
covers the full range of objective physiological signals
used in clinical observation and biofeedback. Housed
in an ergonomically designed case and requiring only
a USB port, ProComp Infiniti can be used with any
IBM-compatible laptop or desktop PC. What’s more,
Pro-Comp Infiniti can capture data in real time by con-
necting directly to the PC via fiber-optic cable, or it can
store data on a Compact Flash memory card for upload-
ing later to the PC. ProComp Infiniti comes complete
with: 14 bit resolution, eight-channel Pro-Comp Infiniti
encoder unit. TT-USB interface unit. Fiber-optic cables
(1’and 15’). Four alkaline“AA”batteries. Sleek fabric stor-
age and carrying case.
Figure 1. Pro-Comp Innity Encoder.
Figure 2. EEG sensors.
Kolayis H – Using EEG biofeedback in karate: The relationship among…
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Data collection
The questionnaires were collected form participants before
daily training. Athletes, who received standardized verbal
instructions, were assisted by the researcher. They were en-
couraged to answer honestly and were assured that their
responses were confidential. The brain waves were mea-
sured in a dressing room by researcher. EEG biofeedback
involves the measurement of brainwave activity. EEG ac-
tivity was recorded at the scalp. Participation was volun-
tary, and relevant permissions were obtained from athletes.
Data analysis
In this study, descriptive statistical techniques and in-
dependent simple t test were used. The simple correla-
tions among anxiety, motivation, and brain waves were
tested by Pearson Product Moment Correlation. The
data were analyzed using SPSS statistical program. An
Alpha level of.05 was used all statistical tests.
results
Significant difference between education levels was ob-
served for the values of somatic anxiety and theta wave
(p<0.05), there was no significant difference in trait anx-
iety, cognitive anxiety, somatic anxiety, self-confidence,
intrinsic motivation, extrinsic motivation and amotiva-
tion (p>0.5) (Table 1).
A significant difference between males and females
was not observed for the values of trait anxiety, cog-
nitive anxiety, somatic anxiety, self-confidence, intrin-
sic motivation, extrinsic motivation and amotivation
(p>0.05) (Table 2).
Pearson’s correlation test revealed that there was only
a significant positive correlation between the values of
age and theta wave (r: 0.654, p<0.05), whereas, there
was no significant correlation between others variables
(p>0.05) (Table 3).
discussion
The present study examined the comparison of anxiety,
motivation and brain waves according to gender and edu-
cation levels. In addition, the study also examined the re-
lationship among anxiety, motivation and brain waves in
karateists. First hypothesis; anxiety, motivation and brain
waves difference were dependent on kareteists’ education
Variables Education level N Mean SD p
Cognitive anxiety
University 21 21.384 5.04
0.965
high school 40 21.33 4.54
Somatic anxiety
University 21 18.05 4.07
0.049*
high school 40 16.00 3.84
Self condence
University 21 26.76 6.09
0.994
high school 40 26.75 5.49
Trait anxiety
University 21 45.81 8.17
0.542
high school 40 46.93 5.89
Theta wave (µv)
University 21 19.26 5.65
0.08
high school 40 22.73 9.77
Alfa wave (µv)
University 21 20.99 9.54
0.409
high school 40 22.92 8.09
Beta wave (µv)
University 21 6.07 1.69
0.001*
high school 40 8.35 3.45
Intrinsic motivation
University 21 4.13 1.23
0.079
high school 40 4.75 1.39
Extrinsic motivation
University 21 4.29 1.15
0.883
high school 40 4.25 1.14
Amotivation
University 21 3.55 0.98
0.293
high school 40 3.91 1.38
Table 1. The dierence between education levels according to anxiety, motivation and brain waves.
*p<0.05.
Self-confidence – is the
expected probability that a
person will achieve a goal in
a certain situation.
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level. Results of the present investigation indicated that
any difference was not found in anxiety, motivation and
brain waves between high school and university level ex-
cept somatic anxiety and beta wave (Table 1). According
to Tenenbaum et al. [14] research in sport not to mention
relationship psychology and education but Kolayiş & Sari
[23] supported the findings of this research. The differ-
ence of somatic anxiety between high school and univer-
sity could be interpreted as that athletes with university
degree feel the pressure over them to accomplish certain
things due to the expectations from significant others. This
could be the reason of why athletes with university degree
reported significantly higher somatic anxiety. Another re-
sult of this study showed that there was a significant dif-
ference of beta brain-wave between education levels. In
the current study, athletes with university degree reported
significantly higher beta brain-wave. Higher beta brain-
waves were activated by listening, thinking, solving ana-
lytical problems, making a decision. If it is thought that
people with university level have these cognitive process-
es, the present study supported this information.
Second hypothesis was that there would be a signifi-
cant difference of anxiety, motivation and brain waves
Variables Gender N Mean SD p
Cognitive anxiety
Male 37 21.49 4.89
0.771
Female 24 21.12 4.43
Somatic anxiety
Male 37 16.32 3.91
0.361
female 24 17.29 4.15
Self condence
Male 37 27.41 5.12
0.268
female 24 25.75 6.38
Trait anxiety
Male 37 47.51 5.98
0.162
female 24 45.04 7.60
theta wave (µv)
Male 37 21.35 9.54
0.845
female 24 21.80 7.37
alfa wave (µv)
Male 37 22.06 8.65
0.821
female 24 22.57 8.67
beta wave (µv)
Male 37 7.06 2.79
0.140
female 24 8.28 3.54
Intrinsic motivation
Male 37 4.62 1.32
0.565
female 24 4.41 1.44
Extrinsic motivation
Male 37 4.33 1.21
0.566
female 24 4.16 1.02
Amotivation
Male 37 3.85 1.23
0.638
female 24 3.69 1.34
Table 2. The dierence between genders according to anxiety, motivation and brain waves.
Age
Training
age
Cognitive Somatic
Self
condence
State Trait Intrinsic Extrinsic
Amoti -
vation
anxiety anxiety motivation
Theta wave
r 0.058 –0.024 –0.18 –0.133 0.019 –0.16 –0.15 –0.03 0.09 –0.09
p 0.654* 0.857 0.175 0.308 0.884 0.208 0.259 0.798 0.49 0.483
Alfa wave
r –0.06 0.026 0.082 0.09 –0.102 –0.13 –0.19 –0.09 0.021 –0.27
p 0.675 0.843 0.528 0.491 0.433 0.331 0.149 0.469 0.87 0.036
Beta wave
r –0.15 –0.163 –0.2 –0.153 –0.02 –0.1 –0.13 0.013 –0.13 –0.05
p 0.256 0.209 0.126 0.24 0.879 0.443 0.309 0.923 0.335 0.726
Table 3. The correlation among anxiety, age, training age, motivation and brain waves.
Kolayis H – Using EEG biofeedback in karate: The relationship among…
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between males and females. Previous literature support-
ed this result and reported that there was not a signif-
icant difference between males and females according
to state anxiety, cognitive anxiety, and somatic anxiety
points [24]. However, result of some of previous studies
[25,27–30] contrasted with present results.
The last hypothesis was there would be a significant
correlation among age, training age, anxiety, motiva-
tion and brain-waves. But, according to the results of
the study there was only positive significant correlation
between age and theta wave. Theta brain waves are de-
fined as deep meditation, deep inward thought. Theta
brain waves are associated with life-like imagination,
high state of mental concentration, a magical mind, in-
ternal pictures/visualization, intuition, inner guidance,
access to unconscious material and dreaming.
conclusions
Combat sports requires optimal levels of anxiety, moti-
vation and self confidence. Combat situations in judo,
karate, taekwondo, boxing may change within extremely
short period of time: accordingly, emotional states dur-
ing combat matches are subject to extreme fluctuations.
It is often difficult for the competing athlete to attack
and to defend at the same time. Psychological prepara-
tion for combat sport should therefore be derived from
making decisions under time pressure, and being flexi-
ble in tactical movements [31]. EEG biofeedback pro-
cedure is employed for reducing anxiety and increas-
ing motivation and self confidence. The present study
helps to arrange these psychological patterns for ath-
letes and coaches.
1. Andreassi JL: Psychophysiology: Human Behavior
and Physiological Response (4th ED.) Hillsdale.
NJ: Erlbaum, 2000
2. Bar-Eli M: Biofeedback as Applied Psychophysiology
In Sport and Exercise: Conceptual Principles for
Research And Practice: Brain And Body In Sport.
Blumenstein, Bar-Eli, Tenenbaum, editor NY: John
Wiley&Sons, 2002
3. Standarts And Guedlines For Biofeeedback
Applications in Psychophysiological Self Regulation:
Wheat Ridge, CO: Association for Applied
Psychophysiology and Biofeedback, 1992
4. Blumenstein, B: Biofeedback Applications in Sport
and Exercises: Research Findings. Brain and Body
in Sport. Blumenstein, Bar-Eli, Tenenbaum, editor
NY: John Wiley&Sons, 2002
5. Heraz A, Frasson C: Predicting The Three Major
Dimensions of The Learner’s Emotions From Brain
Waves. Proceedings Of World Academy Of Science,
Engineering And Technology, 2007; 25: 323–29
6. Bear MF, Connors BW, Paradiso MA: Neuroscience:
Exploring The Brain, Second Ed. Lippincott
Williams & Williams, Baltimore, MD, 2001
7. Cantor DS: An Overview Of Quantitative EEG and
Its Applications to neurofeedback. In Introduction
to Quantitative EEG And Neurofeedback, Evans
and Abarbanel, editor. Academic Press, Ch. 1999;
1: 3–27
8. Medic N: Mack DE, Wilson PM, Starkes JL: The
Effects Of Athletic Scholarships On Motivation
in Sport. Journal Of Sport Behavior, 2007; 30(3):
292–306
9. Deci EL, Ryan RM: Handbook Of Self-
Determination Research. Rochester, NY: University
Of Rochester Pres, 2002
10. Vallerand RJ, Rousseau FL: Intrinsic and Extrinsic
Motivation In Sport And Exercise: A Review Using
The Hierarchical Model Of Intrinsic And Extrinsic
Motivation. In Singer, Hausenblas, Janelle Editors.
Handbook Of Sport Psychology (2
nd
ed.). NY: John
Wiley & Sons, 2001; 389–416
11. Ryan RM, Deci EL: Intrinsic And Extrinsic
Motivations: Classic Definitions And New
Directions. Contemporary Educational Psychology.
2000; 25: 54–67
12. Deci EL, Ryan RM: Intrinsic Motivation And Self-
Determination In Human Behavior. New York, NY:
Plenum, 1985
13. Gagne M, Ryan RM, Bargmann K: Autonomy
Support And Need Satisfaction In The Motivation
And Well-Being Of Gymnasts. Journal of Applied
Sport Psychology, 2003; 15: 372–90
14. Kowal J, Fortier MS: Motivational Determinants
Of Flow: Contributions From Self determination
Theory. Journal Of Social Psychology,1999; 139:
355–68
15. Tenenbaum G, Corbett M, Kitsantas A: Biofeedback:
Applications And Methodological Concerns.
Brain And Body In Sport. Blumenstein, Bar-Eli,
Tenenbaum, Editors. NY: John Wiley & Sons, 2002
16. Northern JJ: Anxiety and Cognitive Performance: A
Test Of Predictions Made By Cognitive Interference
Theory And Attentional Control Theory. (Doctoral
Dissertation). Available From Dissertations and
Theses Database. AAT 3417906, 2010
17. Greist JH, Jefferson JW: Anxiety Disorders. In H.H.
Goldman’s (ed.). Review Of General Psychiatry –
5
th
ed. New York, NY: Mcgraw-Hill, 2000
18. Martens R, Vealey RS, Burton D: Competitive
Anxiety In Sport. Champaign, IL, Human Kinetics,
1990
19. Hardy L, Jones G, Gould D: Understanding
Psychological Preparation For Sport: Theory And
Practice In Elite Athletes, Chichester, UK, Wiley,
1996
20. Smith D, Bar-Eli M: Essential Readings In Sport
And Exercise Psychology. Champaign, IL, Human
Kinetics, 2007
21. Murphy S: The Sport Psych Handbook (ed.),
Human Kinetics Publisher, Inc. Champaign, 2005
22. Mcnally RJ: Anxiety Sensitivity Is Distinguishable
From Trait Anxiety. In: Rapee Editor, Current
Controversies In The Anxiety Disorders. New York:
Guilford, 1996; 214–27
23. Koruç Z: “CSAI-2’ Nin Türkiye Uyarlamasi, Ön
Çalişma I. Spor Bilimleri V. Kongresi. Ankara:
Hacettepe University, 1998 [in Turkish]
24. Kolayiş H, Sari V: “Anxiety, Self Esteem And
Competition Ranking Of Judokas” Arch Budo,
2011; 7(1): 13–18
25. Pelletier LG, Fortier MS, Vallerand RJ et al: Toward
A New Measure Of Intrinsic Motivation, Extrinsic
Motivation, And Amotivation In Sports: The Sport
Motivation Scale. Journal Of Sport & Exercise
Psychology, 1995; 17: 35–53
26. Kazak Z: “Sporda Güdülenme Ölçeği (SGÖ)’Nin
Türk Sporculari İçin Güvenirlik Ve Geçerlik
Çalişmasi”, Hacettepe Üniversitesi, Spor Bilimleri
Dergisi, 1995; 15(4): 191–206 [in Turkish]
27. Chantal Y, Guay F, Dobreva-Martinova T, Vallerand
RJ: Motivation And Elite Performance: An
Exploratory Investigation With Bulgarian Athletes.
International Journal of Sport Psychology, 1996; 7:
172–82
28. Kubzansky LD, Stewart AJ: At the intersection of
anxiety, gender, and performance.In: Journal of
Social and Clinical Psychology, 1999; 18: 76–97
29. Osman A, Barrios FX, Aukes D et al: The Beck
Anxiety Inventory: Psychometric properties in a
community sample. Journal of Psychopathology
and Behavioural Assessment, 1993; 15(4): 287–97
30. Hewitt PL, Norton GN: The Beck Anxiety
Inventory: A psychometric analysis. Psychological
Assessment, 1993; 5(4): 408–12
31. Blumenstein B, Bar-Eli M, Collins D: Biofeedback
Training In Sport. Brain And Body In Sport.
Blumenstein, Bar-Eli, Tenenbaum, Editors. NY:
John Wiley & Sons, 2002
references:
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