competitive state anxiety and self-confidence: intensity and direction as relative predictors of...
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This article was downloaded by: [East Carolina University]On: 11 September 2013, At: 07:22Publisher: RoutledgeInforma Ltd Registered in England and Wales Registered Number: 1072954 Registeredoffice: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK
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Competitive state anxiety and self-confidence: Intensity and direction asrelative predictors of performance on agolf putting taskSean T. Chamberlain a & Bruce D. Hale ba Staffordshire University, Stoke-on-Trent, UKb Penn State University — Berks, Reading, Pennsylvania, USAPublished online: 08 May 2007.
To cite this article: Sean T. Chamberlain & Bruce D. Hale (2007) Competitive state anxiety and self-confidence: Intensity and direction as relative predictors of performance on a golf putting task,Anxiety, Stress & Coping: An International Journal, 20:2, 197-207
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Competitive state anxiety and self-confidence: Intensityand direction as relative predictors of performance on agolf putting task
SEAN T. CHAMBERLAIN1 & BRUCE D. HALE2
1Staffordshire University, Stoke-on-Trent, UK & 2Penn State University * Berks, Reading,
Pennsylvania, USA
AbstractThis study considered relationships between the intensity and directional aspects of competitive stateanxiety as measured by the modified Competitive Sport Anxiety Inventory-2(D) (Jones &Swain, 1992) in a sample of 12 experienced male golfers. Anxiety and performance scores fromidentical putting tasks performed under three different anxiety-manipulated competitive conditionswere used to assess both the predictions of Multidimensional Anxiety Theory (MAT; Martens et al.,1990) and the relative value of intensity and direction in explaining performance variance. A within-subjects regression analysis of the intra-individual data showed partial support for the three MAThypotheses. Cognitive anxiety intensity demonstrated a negative linear relationship with performance,somatic anxiety intensity showed a curvilinear relationship with performance, and self-confidenceintensity revealed a positive linear relation. Cognitive directional anxiety illustrated a positive linearrelationship with putting performance. Multiple regression analyses indicated that direction (42% ofvariance) was a better predictor of performance than intensity (22%)
Keywords: Directional anxiety, multidimensional anxiety theory, putting performance
An athlete’s response to the cognitive appraisal of a competitive situation, and its
subsequent influence on performance, has proven to be fertile ground for inquiry in the
field of sport psychology. Anxiety about competition has generally been assumed to have a
negative effect on athletic performance (Burton, 1988; Martens, Burton, Vealey, Bump &
Smith, 1990). Practitioners consequently have developed and tested strategies intent on
reducing anxiety in order to enhance performance (Greenspan & Feltz, 1989).
The proposition that anxiety is ‘bad’ for performance is reflected in Multidimensional
Anxiety Theory (MAT; Martens et al., 1990). Following from work in general psychology,
MATadopted a multidimensional view of anxiety incorporating a cognitive element (related
to worry) and a somatic element (nervousness or tension). Martens and colleagues
(Martens et al., 1990) devised a self-report measure, the Competitive State Anxiety
Inventory-2 (CSAI-2) to measure these components of anxiety. MAT hypothesized that
in relation to performance: (1) cognitive anxiety will show a negative linear relationship;
(2) somatic anxiety will show an inverted ‘U’ relationship; and (3) self-confidence
Correspondence: Bruce Hale, Dept. of Kinesiology, P.O. Box 7009, Tulpehocken Rd, Penn State*Berks,
Reading, PA 19610, USA. E-mail: [email protected]
ISSN 1061-5806 print/ISSN 1477-2205 online # 2007 Taylor & Francis
DOI: 10.1080/10615800701288572
Anxiety, Stress, and Coping,
June 2007; 20(2): 197�207
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(identified as a further component by factor analysis during the development of the
CSAI-2) will show a positive relationship.
The findings however have been equivocal (Jones, 1995b; Kleine, 1990) and have shown
little support for the hypothesized relationships with only one study finding support for all
three hypotheses (Burton, 1988). Gould and colleagues (Gould, Petlichkoff, Simons, &
Vevera, 1987) suggested at least three weaknesses with MAT research: first, some
researchers have relied on a between-subjects design which fails to account for differences
in skill or to detect the longitudinal influence of anxiety on an individual (Sonstroem &
Bernardo, 1982); second, some investigators have used a correlational design, precluding
the possibility of finding curvilinear relationships; and finally, performance measures
have been too global and imprecise. Performances have been compared on a win/loss
basis against different opponents (Gould, Petlichkoff & Weinberg, 1984), while others
have been scored subjectively by independent observers (Maynard, Hemmings & Warwick-
Evans, 1995) or the athletes themselves (Edwards & Hardy, 1996).
Research on other anxiety-performance models such as Catastrophe Theory
(Hardy, 1990), Individualized Zone of Optimal Functioning (IZOF; Hanin, 1995), and
facilitative/debilitative perceptions (‘directional anxiety’; Jones & Swain, 1992), however,
has suggested that anxiety does not always have a negative impact on sport performance.
For example, in Catastrophe Theory, a high intensity of somatic anxiety predicts enhanced
performance if the intensity of cognitive anxiety is simultaneously low to moderate.
Similarly in the IZOF model, an individual may prefer and perform best when his/her
anxiety level is relatively high compared with other individuals’ preferred ‘zone.’ The
consequences for applied practice are significant, since the findings suggest that anxiety
reduction may not be the most appropriate strategy for intervention.
Originally MAT only utilized an ‘intensity’-based measure of anxiety to assess the direct
effects of the competition on the athlete’s physical and mental state. But Jones and
colleagues’ subsequent work on directional anxiety (Jones & Swain, 1992) proposes that the
athlete’s perception of the symptoms will also be significant in explaining behavior. The
‘directional’ process, according to Jones (1995b), reflects a higher level of cognitive
appraisal associated with the athlete’s interpretation of the cognitive and physiological
symptoms. Initial research using an adapted form of the CSAI-2 (athletes interpret their
cognitive and somatic symptom intensity as either positive [‘facilitative’] or negative
[‘debilitative’] toward subsequent performance) has investigated both the effect of
individual differences such as competitiveness (Jones & Swain, 1992) and ability (Jones,
Hanton & Swain, 1994; Jones & Swain, 1995; Perry & Williams, 1998) on anxiety direction
and the effect of directional anxiety appraisal on performance (Edwards & Hardy, 1996;
Jones, Swain & Hardy, 1993; Kais & Raudsepp, 2004; Swain & Jones, 1996).
In these latter research designs examining effects on performance in MAT, directional
anxiety has produced a variety of effects on performance. Despite finding that gymnasts
who performed well interpreted an identical intensity of anxiety as being more facilitative
than gymnasts who performed badly, Jones et al. (1993) reported that self- confidence
intensity was the only significant predictor of performance. Edwards and Hardy (1996)
reported that direction did not add significantly to the percentage of performance variance
in netball performance explained by intensity. Swain and Jones (1996) further tested the
relative value of intensity and direction in predicting the performances of a basketball team
across six matches. Participants completed the CSAI-2D 20 minutes before the game and
results showed that cognitive anxiety direction (23%) and somatic anxiety direction (17%)
were better predictors of performance than cognitive intensity (18%) or somatic intensity
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(2%). More recently Kais and Raudsepp (2004) produced evidence for volleyball
performance predictions showing that self-confidence intensity predicted 24.1%, somatic
anxiety direction predicted 9.2%, and cognitive anxiety direction predicted 8.8% of the
variance, respectively.
Design weaknesses similar to those in the earlier MAT research may have contributed to
the lack of agreement between the four studies. Jones et al. (1993) failed to use an intra-
individual design (Sonstroem & Bernardo, 1982), while Edwards and Hardy (1996)
incorporated a self-assessed measure of performance, which may have been influenced by
factors such as an ego-protecting bias. The impact of changing task difficulty (different
opponents) and of possible changes in anxiety levels during the 20 minutes between the
completion of the CSAI-2D and the start of the game may similarly have influenced Swain
and Jones’ (1996) results. Furthermore, several researchers (Hardy, 1996; Jerome &
Williams, 2000) have suggested that researchers who wish to clearly test the anxiety-
performance relationship should design studies that include individual sports such as
bowling and golf, not team sports, that allow for valid, equivalent scoring.
But two recent studies using bowling and golf have also reported non-supportive findings
for MAT predictions. Jerome and Williams (2000) found a non-hypothesized inverted-U
relationship between cognitive anxiety intensity and bowling performance that accounted
for 4.1% of the variance, and a predicted positive linear relationship between somatic
anxiety direction subscale and performance that explained 3.0% of the variance. Even with
the removal of bowlers who had a repressive coping style to enhance accuracy of the anxiety
scores, the ratings did not support MAT and only offered partial support for the use of
directional subscales. Unfortunately, this study only compared one competitive bowling
game score with a prior bowling average as its performance measure, thereby falling under
the performance measurement weakness listed previously by Gould et al. (1987).
Hardy (1996) attempted to reduce the time of CSAI-2 test administration by teaching
golfers to give one estimate of the three intensity subscales immediately before each putt in
an actual 18-hole competition. He also attempted to make the collegiate match competition
more anxiety-provoking by offering a monetary reward to the winner. All three intensity
subscales accounted for only 7% of the variance with self-confidence accounting for a
unique proportion of the criterion variance. Although the design offered a quicker
assessment of competitive anxiety in a realistic setting, it failed to examine the effects of
directional anxiety on performance.
The equivocal nature of these findings necessitated further replication research into the
relative value of both intensity and direction in predicting performance under MAT. These
findings have raised significant questions about the ability of current measures to accurately
assess the ‘anxiety’ response. The purpose of this study therefore was to further examine the
relative value of intensity and direction of state anxiety in predicting performance based on
the hypotheses of MAT. The design also incorporated design recommendations made by
Gould et al. (1987) and Jones (1995b), including intra-individual analysis of performance,
three separate anxiety interventions to test performance effects under varied conditions,
and a more objective measure of task performance in a golf putting competition. The
hypotheses for testing intensity followed the above stated MAT predictions, while
‘directional’ hypotheses reflected those proposed by Swain and Jones (1996), who
suggested that directional cognitive and somatic anxiety and directional self-confidence
would all have a positive linear relationship with performance. It was also predicted, based
on the findings of Swain and Jones (1996), that directional anxiety will account for more of
the variance in performance than anxiety intensity.
Predictors of performance on a golf putting task 199
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Method
Participants
Twelve experienced undergraduate male golfers from an English university in the Midlands,
ranging in age from 20 to 22 years volunteered to participate in the study (age M�20.9
years, SD�0.76; handicap M�11.75, SD�1.48; years of competitive experience M�8
years, SD�2.8).
Apparatus
The study used the CSAI-2D self-report inventory adapted by Jones and Swain (1992)
from Martens et al.’s (1990) original CSAI-2. The CSAI-2D self-report questionnaire was
used to measure state anxiety intensity and direction across three nine-item sub-scales:
cognitive anxiety, somatic anxiety, and self-confidence. The responses for intensity were
recorded on a four-point Likert scale ranging from 1 (‘not at all’) to 4 (‘very much so’) and
possible scores for each sub-scale ranged from 9 to 36. Directional scores were recorded on
a seven-point scale, each component ranging from �3 (negatively) to �3 (positively) with
possible scores ranging from �27 to �27 for each sub-scale.
The authors of the original CSAI-2 reported reliability coefficient scores between 0.79
and 0.90 (Martens et al., 1990), suggesting that the inventory has a high degree of internal
consistency. The directional aspect has not yet received comprehensive validation, though
Swain and Jones (1996) report internal reliability coefficients of 0.83 (cognitive anxiety),
0.72 (somatic anxiety), and .90 (self confidence), suggesting sufficient internal consistency.
Research by Maynard, Hemmings, and Warwick-Evans (1995) provides evidence that the
CSAI-2D has predictive validity in subsequent soccer performance results.
A green synthetic putting mat (12 meters by 2 meters) was used to test putting skill. Two
crosses, 5 meters apart, were marked on the mat, one to indicate the spot where the golf ball
was to be placed prior to putting and one to indicate the target. Although each golfer was
permitted to use his own putter, all putts were performed using new golf balls of the same
brand and model.
Performance
The study required the participant to putt a golf ball along a smooth, flat, grass-like surface
toward a target 5 meters away. In order to control for test-retest threats to internal validity,
the participant performed this task 15 times (five practice, ten recorded) on each of the
three separate occasions. Performance error scores were obtained by measuring the distance
(in centimeters) between the final resting place of the golf ball after the putt and the target.
The scores from the 10 recorded putts were averaged to establish a final mean score.
Procedures
Participants were required to complete an informed consent form before participating in
the study. Once accepted into the study, the participants completed the CSAI-2D
immediately before putting on each of the three separate occasions. Participants were
informed that the study investigated the influence of team position and emotion on
performance.
In order to produce the three statistically different anxiety responses necessary to test for
curvilinear relationships (c.f., Sonstroem & Bernardo, 1982), the conditions under which
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the golfers performed were altered. On the first occasion participants were asked to perform
the first putting task alone in the testing area with the experimenter. The participants were
informed that the performance scores would not be revealed to the other participants and
would only be used to place individuals in team positions for the second session. It was
predicted that this condition would induce a low level of anxiety, since the individual should
not experience the concern associated with social comparison or the consequences of poor
performance (Martens et al., 1990; Wang, Marchant, & Morris, 2004). The CSAI-2D was
administered immediately following the instructions and then the participant began the
task.
The second session took place the following day. The 12 participants were required to
perform two further putting tasks. For the first task the golfers were randomly separated
into three teams of four individuals and the basis of team competition was explained. The
participants completed the CSAI-2D for the second time, before competing head to head
(first member of team A versus first member of team B versus first member of team C) for a
cash prize (US$30) awarded for the best team performance. It was predicted that under this
condition the participant would experience a moderate level of anxiety (valued outcome,
but with team scores, not individual scores being announced).
For the second task of this day, it was explained that each participant was required to
compete individually against all the others for a cash prize (US$50). The golfers completed
the CSAI-2D for the final (third) time, after which they were randomly asked to perform
the putting task in front of the other competitors. It was predicted that the individual ‘head-
to-head’ nature of the competition, the presence of spectators and the cash prize
(Hardy, 1996) would induce a higher level of anxiety than the previous conditions. Across
the three tasks all participants started the putting within five minutes of completing the
CSAI-2D questionnaire, with most taking the first putt immediately after its completion.
Results
Statistical analysis
Each set of CSAI-2D sub-scale responses was ordered into lowest, median, and highest
scores in six repeated measures in order to test for linear or quadratic relationships between
CSAI-2D subscale scores and putting performance (Burton, 1988; Gould et al., 1987;
Sonstroem & Bernardo, 1982; Swain & Jones, 1996). Sonstroem and Bernardo (1982)
justified this manipulation by arguing that it does not matter which putting task creates the
most or least competitive anxiety or self-confidence; it is only necessary to demonstrate that
the task manipulations caused three distinct levels of anxiety and self confidence. Repeated
measures analysis of variance (ANOVA) with orthogonal post hoc tests (Swain &
Jones, 1996) were used to check for significant differences between the means.
All CSAI-2D and performance scores were then standardized to remove inter-subject
response variation (c.f., Sonstroem & Bernardo, 1982). The standardized performance
scores were then reversed for each test since lower scores, in terms of distance from the
target, equated with better performance. Separate curve estimation regression analyses was
used to test the MAT (Martens et al., 1990) and directional anxiety hypotheses (Swain &
Jones, 1996) by calculating whether a linear or curvilinear relationship best described the
association between performance and the six CSAI-2D sub-scale scores. The repeated
observations were treated as independent so the degrees of freedom equaled 36. To
determine the relative contribution of the direction scale in predicting performance, the
standardized intensity scale was entered before the standardized direction scale in a
Predictors of performance on a golf putting task 201
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hierarchical regression analysis for somatic and cognitive anxiety and self-confidence
following the example of Swain and Jones (1996).
Anxiety manipulation check
Initial repeated measures ANOVA of the raw data with orthogonal post hoc comparisons
supported the effectiveness of the stress manipulations between task conditions for each of
the six CSAI-2D sub-scales (see Table I). These significant results permitted further
analysis of the six sub-scales for both linear and curvilinear relationships with the
performance variable.
CSAI-2D subscale scores and performance relationships
Cognitive anxiety and performance. The relationship between cognitive intensity and
performance was best described by a linear equation, (F(1,34)�9.79, p B.01), and
accounted for 22.4% of the variance. The quadratic function explained 4.5% of the
variance, (F(2,33)�6.09, p B.01). The relationship between cognitive direction
and performance was best described by a linear equation, (F(1,34)�23.7, p B.01),
and accounted for 18.9% of the variance. When cognitive direction (linear) was entered
into the equation after cognitive intensity (linear), 41.2% of the variance was explained
by the intensity subscale, Fchange (1,34)�9.79, R2change�.22, b��.47, t��3.13, p B.01,
and by the direction subscale, Fchange (1,33)�10.61, R2change�.189, b�.61, t�3.26,
pB.01.
Somatic anxiety and performance. Somatic anxiety intensity’s relationship with performance
was best accounted for by a U-shaped curvilinear equation (F(2,33)�5.06, p B.05) with
23.5% of variance explained. No interpretable trend was forthcoming for somatic anxiety
direction’s relationship with performance either as a linear equation (F(1,34)�2.13;
p�.05), or as a quadratic function (F(2,33)�1.06; p �.05). When somatic direction was
entered into the equation after somatic intensity (curvilinear), 13.5% of the variance was
explained by only the significant intensity scale, Fchange (1,34)�5.21, R2change�.133,
b��.36, t��2.28, p B.05.
Table I. Repeated measures ANOVAs.
Score Lowest Median Highest
CSAI-2D subscale M SD M SD M SD F df p value
Intensity
Cognitive 12.17 (3.24) 14.67 (3.20) 19.33 (5.53) 25.29 (2,10) B.01
Somatic 10.50 (2.20) 13.08 (3.70) 17.33 (5.26) 14.56 (2,10) B.01
Self-confidence 26.33 (4.27) 28.75 (3.55) 31.41 (4.08) 13.57 (2,10) B.01
Direction
Cognitive 4.42 (9.33) 8.67 (9.45) 15.71 (10.03) 22.18 (2,10) B.01
Somatic 6.92 (11.44) 12.58 (9.14) 17.33 (9.03) 7.25 (2,10) B.05
Self-confidence 10.75 (11.09) 18.83 (8.12) 21.42 (6.45) 5.22 (2,10) B.01
Putting
performance .096 (1.01) �.028 (.98) �.09 (.96)
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Self-confidence and performance. Self-confidence intensity was best described by a linear
equation (F(1,34)�6.9, p B.05) with performance, with 16.8% of the variance accounted
for. The quadratic function further explained 15.6% of the variance, (F(2,33)�7.91,
p B.01. Self-confidence direction scores show a linear relationship (F(1,34)�14.59,
p B.01) with performance with 30% of the variance accounted for. The quadratic function
further explained 9.5% of the variance, (F (2, 33)�10.76, p B.01. When self-confidence
direction (linear) was entered into the equation after self-confidence intensity (linear),
32.5% of the variance was accounted for by the intensity scale, Fchange (1,34)�6.88,
R2change�.168, b�.41, t�2.62, p B.05, and the direction scale, Fchange (1,33)�7.65,
R2change�.156, b�.84, t�2.77, p B.01.
Intensity and direction. In order to ensure that the variables satisfied the statistical
requirements for testing the regression hypothesis, a correlational table was constructed
(see Table II). A basic assumption of a multiple regression model is that all independent
variables are truly independent, otherwise multicollinearity occurs (Bohrnstedt &
Knoke, 1994). Multicollinearity exists when a high degree of one independent variable’s
variance is explained by the other variables, thus making the variable redundant as a
predictor of the criterion variable (Bohrnstedt & Knoke, 1994). The high correlations
between the intensity and direction sub-scales of cognitive (r��.696, p B.01) and somatic
anxiety (r��.572, p B.01) and self-confidence (r�.883, p B0.01) suggested that a single
regression model would engender the problem of multicollinearity.
Therefore two regression models (one with the intensity variables and one with
directional variables) were used to test the hypothesis. Furthermore, the use of two
separate multiple regression models would follow the assumption that intensity and
direction may separately predict performance, though some significant relationships within
these models would preclude the possibility of validly stating which particular subscale
(cognitive, somatic or self-confidence) would best explain the variance.
The two multiple regression models showed that direction (F(3,35)�9.58, p B.001)
accounted for 42.4% (adjusted R2) of performance variance in comparison with 22.9%
(adjusted R2) explained by intensity (F(3,35)�4.46, p B.01).
Discussion
The results show that the relationship between cognitive intensity and performance was
best described by a significant negative linear equation. This finding agrees with the original
MAT hypothesis initially proposed by Burton (1988) and Martens et al. (1990). Martens
Table II. Pearson product moment correlations between CSAI-2D sub-scales.
Cog Dir Som Int Som Dit S-C Int S-C Dir
Cog Int �.696** .603** �.292 .353* .394*
Cog Dir �.418* .304 .435** .524**
Som Int �.572** �.327 �.374*
Som Dir .492** .352*
S-C Int .883**
Note: Cog Int�Cognitive Anxiety Intensity; Cog Dir�Cognitive Anxiety Direction; Som Int�Somatic Anxiety
Intensity; Som Dir�Somatic Anxiety Direction; S-C Int�Self-Confidence Intensity; S-C Dir�Self-Confidence
Direction.*p B.05; **p B.01.
Predictors of performance on a golf putting task 203
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et al. (1990) suggest that this relationship reflects the focus of the performer’s attention
away from task-relevant cues towards task-irrelevant ones. Eysenck (1984) extended this
view by stating that highly anxious performers are more susceptible to hyper-distractibility
and appear more likely to process stimuli that are perceived as threatening, rather than
neutral; as such, the effectiveness of the performance will depend on the congruence
between the perception of the individual and the relevant demands of the task.
The current findings do not agree with Swain and Jones’ (1996), Jerome and
Williams’ (2000), or Perreault and Marisi’s (1997) results, which found that cognitive
intensity followed a curvilinear relationship across basketball and bowling performance
measures. Elements in the nature of the task may help explain these differences. Hardy,
Jones, and Gould (1996) state that increased cognitive anxiety (intensity) ‘‘may lead the
performer to use higher level cognitive mechanisms in an attempt to consciously control
lower level automatic operations’’ (p. 186). This ‘‘paralysis by analysis’’ may particularly
occur in highly automated tasks, when the performer usually executes the technique with
relatively little attention directed towards the performance itself.
The current results show a U-shaped curvilinear relationship with increasing levels of
somatic anxiety intensity associated with poorer performance up to a point. Some sub-
components of performance, such as fine control and manual dexterity, may be impaired by
increased physiological arousal (Parfitt & Hardy, 1987). Since the CSAI-2D questionnaire
measures somatic anxiety in relation to the athlete’s physiological state (e.g., ‘My body feels
tense’; ‘My hands are clammy’), the putting stroke could be significantly affected by
changes in the physiological state and its subsequent effect on these relevant sub-
components. It seems probable therefore that, within the range of the somatic intensity
scores reported by the subjects, lower scores equated with lack of tension and ultimately
with better performance up to a point on the golf putting task. The finding that past this
point elevated levels of somatic anxiety are associated with improved performance is
surprising. Since all participants performed the three conditions in the same order, their
self-confidence could have improved over the conditions, and self-confidence may have
impacted performance more than anxiety in the final condition.
Unlike earlier results (Edwards & Hardy, 1996; Jerome & Williams, 2000), the current
results suggest that self-confidence in itself is a significant predictor of performance. The
positive linear relationship found by this study supports the findings of Burton (1988) and
Jones and Cale (1989). Because self-confidence was only measured prior to performance,
this relationship cannot fully explain causation. Self-confidence may be bi-directional with
both good performance enhancing self-confidence during actual putting and high self-
confidence enhancing performance. Jones (1995b) states that in relation to perception it
should play a role as an individual difference.
The results show that cognitive direction has a positive linear relationship (similar to
Swain & Jones, 1996) with performance, and indicate that an improvement in the
participants’ perception of their cognitive anxiety symptoms may be associated with an
improvement in putting. Both Edwards and Hardy (1996) and Jerome and Williams (2000)
did not find this linear relationship, possibly because of deficiencies in measuring athletic
performance accurately. Jones’ (1995a) model suggests that a facilitative score on the CSAI-
2D arises from an athlete’s positive perception about coping with the demands of the task
and of achieving the goal. Such an interpretation of the symptoms may not therefore be
associated with anxiety at all. Instead, the symptoms reflect a motivated state where the
athlete does not regard the stimuli as threatening. The loss of appropriate attentional focus
therefore does not occur. Jones continues by stating that high intensity symptoms will be
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perceived as debilitative for more finely controlled skills; the present finding for golf putting
supports this statement.
The finding that somatic direction had a non-significant relationship with performance
lends support to previous research that also found a non-significant relationship (Edwards
& Hardy, 1996; Jones et al., 1993). In contrast, Jerome and Williams (2000) found a
significant positive linear relation with performance, but this isolated finding may be due to
their use of a single bowling game score as the performance measure. Furthermore, their
finding that only 3% of variance was explained by somatic direction suggests that the
relationship in itself is not particularly meaningful. To date, only Swain and Jones’s (1996)
finding of positive linear relationship accounting for 17% of the variance supports the MAT
and suggests that a longitudinal design must be used to concisely assess game performance.
A significant positive linear relationship was apparent between self-confidence direction
and performance. But the high correlation between self-confidence intensity and direction
(r�0.88, p B.05) adds some weight to Jones and colleagues’ view (Jones et al., 1993, 1994)
that the separation of self-confidence into intensity and direction sub-scales may be
unnecessary. Both variables illustrated a positive linear relationship with performance,
though direction, as a linear relationship (30%), explained more performance variance than
intensity (17%), suggesting that the participant’s perception of self-confidence is more
important. Perhaps as Lane, Sewell, Terry, Bartram, and Nesti (1999) have suggested, self-
confidence should not be part of the MAT theory.
The results indicated that the direction sub-scale (42% of variance) of the CSAI-2D is a
better predictor of performance than the intensity sub-scale (23%). Although the issue of
multicollinearity prevents any specific results being drawn in relation to which particular
sub-component of anxiety best predicts performance, conservative conclusions can be
drawn about the efficacy of the original CSAI-2 inventory as a measure of the anxiety
construct. The finding of this study lends support to the conclusions of Swain and Jones
(1996), who also reported that direction was a better predictor of performance than
intensity. The finding does not agree with Edwards and Hardy (1996) and Jerome and
Williams (2000), who found that direction did not significantly predict more performance
variance than intensity, or with Jones et al. (1993) who found that direction was not
significantly related to performance at all.
Only the present study and Swain and Jones (1996), however, used a design
incorporating a within-subjects’ analysis of an objective, repetitive performance measure.
Jones (1995b) states that failure to incorporate these two elements into a research design
may seriously weaken the validity of the subsequent findings. The current findings therefore
add to the converging evidence which suggests ‘‘that factors other than the overall intensity
of anxiety responses are likely to influence the effect of anxiety upon the behavioral
processes that underlie performance’’ (Hardy & Hagtvet, 1996, p. 6).
The moderate to high correlations between intensity and direction also lend partial
support to the view that an increased level of cognitive ‘anxiety’ is not always interpreted
negatively. This finding, in association with the positive linear relationship between
direction and performance, refutes the MAT assumption that an increase in cognitive
anxiety is always ‘bad’ (Burton, 1988; Martens et al., 1990) and supports findings by Jokela
& Hanin (1999); Individual Zone of Optimal Functioning hypothesis), Hardy (1990);
Catastrophe Theory) & Jones and Cale (1989), who found that increases in the cognitive
anxiety did not necessarily lead to impaired performance.
The results do not, however, support Jones and colleagues’ conclusions (Jones
et al., 1993; Jones & Hanton, 1996) that intensity and direction may be separate scales.
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In addition to this study, interventions in applied sport psychology (Hale & Whitehouse,
1998; Maynard et al., 1995) found the two scales to be interrelated.
The CSAI-2D, as a self-report inventory, possesses inherent problems in administration
to athletes. Since the CSAI-2D is a pre-performance state measure, the responses provide
an indication of an individual’s symptoms prior to the pre-shot routine so commonly
adopted by golfers. All of the participants were observed engaging in a pre-shot routine,
with most participants using club ‘waggling’ and deep breathing techniques. Although the
influence of these routines on performance will depend on the individual’s mental skill
ability, the difference between pre-performance state and during-performance state may
account for some of the performance variance not explained by the CSAI-2D sub-scales. A
study on the effects of self-confidence on putting performance, for example, reported that
self-confidence during putting had a stronger relationship with performance than self-
confidence before putting (Pickens, Rotella & Gansneder, 1996). Furthermore, the CSAI-
2D consists of 27 items with 54 responses in total. This makes the questionnaire relatively
lengthy and arduous to complete (about 10 minutes). Changes in anxiety symptoms may
occur not only across the time it takes the participant to respond, but also as a consequence
of completing the inventory itself. An athlete may therefore be less likely to agree to such an
intrusion if the inventory either detracts from pre-competition warm-up or actually results
in a worsening of the mood state. More recently, the Immediate Anxiety Measurement
Scale (Thomas, Hanton, & Jones, 2002) has been developed to incorporate more brevity
and still measure directional aspects of anxiety. Furthermore, the results of confirmatory
factor analysis by Lane et al. (1999) have not supported the three-factor structure of the
original CSAI-2 and have criticized the inclusion of self-confidence in the scale. Until
greater validation of both the CSAI-2D and IAMS is forthcoming, researchers must adopt a
slightly skeptical stance to the results produced by studies that use both anxiety measures.
In conclusion, authors such as Jones et al. (1994) suggest that the term ‘anxiety’ itself
may account for some of the conceptual problems and conflicting findings. Sport
psychology researchers and practitioners need to develop better valid measures of sport
emotion (e.g., Jokela & Hanin, 1999), that quickly and accurately measure both facilitative
and debilitative perceptions of affect, so that performance may be more concisely predicted
and effective interventions more easily undertaken. Without valid measures, there can be no
substantive theory testing or application in sport.
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