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Predicting human Predicting human performance from performance from
psychological variablespsychological variables
Professor Andy LaneProfessor Andy Lane
School of Sport, Performing Arts and LeisureUniversity of Wolverhampton,
November 16November 16thth 2005 2005
OverviewOverview
• This presentation focuses on two This presentation focuses on two aspects:aspects:
• Relationships between psychological Relationships between psychological state variables and performance in state variables and performance in academic and athletic settings. academic and athletic settings.
• Strategies to improve enhance Strategies to improve enhance performance through developing performance through developing psychological skillspsychological skills
‘‘Tale of the tape’Tale of the tape’
• 85 papers in peer review journals85 papers in peer review journals• Editorial board member on 5 journals – editor for Editorial board member on 5 journals – editor for
22• Scientific reviewer for 20 journalsScientific reviewer for 20 journals• 5 PhD Completions 5 PhD Completions • Awards: BASES 1997, 1999, 2000, 2004, 2005, Awards: BASES 1997, 1999, 2000, 2004, 2005,
ECSS, 1998ECSS, 1998• 100k in internal and external grants100k in internal and external grants• Over 150 conference presentationsOver 150 conference presentations• Sport psychology consultant for World Champion Sport psychology consultant for World Champion
boxer, English Institute of Sport, PowerAde.boxer, English Institute of Sport, PowerAde.
Performance predictionPerformance prediction
Sport Academic
Boxing, Running, Kickboxing, Tennis, Cycling, Triathlon, Biathlon,
Basketball, Tae-kwon-do, Wakeboarding
Module performance, Oral examination,
Written examination Dissertation, Masters degree
Mood and self-efficacy
‘‘The real-world The real-world laboratory’laboratory’
Predicting Predicting PerformancePerformance
OverviewOverview• Performance influences emotions and self-Performance influences emotions and self-
efficacyefficacy• Emotions and self-efficacy influence Emotions and self-efficacy influence
performanceperformance• Control of emotions is importantControl of emotions is important• Developing self-efficacy is importantDeveloping self-efficacy is important• Understanding the process how psychological Understanding the process how psychological
states evolve over time is importantstates evolve over time is important• Emotional control and self-efficacy wins medals?Emotional control and self-efficacy wins medals?• Emotional control and self-efficacy passes Emotional control and self-efficacy passes
courses? courses?
Self-report vs other Self-report vs other methodsmethods
Self-report vs other Self-report vs other methodsmethods
• Psychophysiology/neurophysiology, Behavioural Psychophysiology/neurophysiology, Behavioural measures measures
• How would we really know what we are measuring How would we really know what we are measuring (e.g., fear or surprise in response to a laboratory (e.g., fear or surprise in response to a laboratory stimulus)?stimulus)?
• Psycho-physiological or behavioural measures of Psycho-physiological or behavioural measures of affect would have to be validated against self-affect would have to be validated against self-report. report.
• Many psychological constructs are Many psychological constructs are currently currently only only reliably reliably estimatedestimated through self-report. through self-report.
MoodMood
PROFILE OF MOOD PROFILE OF MOOD STATESSTATES
Below is a list of words that describe feelings people have. Please read each one carefully. Then circle the answer which best describes HOW YOU FEEL RIGHT NOW. Make sure you answer every question.
Not at all A little Moderately Quite a bit Extremely
1. Panicky 0 1 2 3 4
2. Lively 0 1 2 3 4
3. Confused 0 1 2 3 4
4. Furious 0 1 2 3 4
5. Worn out 0 1 2 3 4
6. Depressed 0 1 2 3 4
(Terry, Lane, Lane, & Keohane, 1999)
ICEBERG PROFILEICEBERG PROFILE60
50
40
30
SCORE
MOOD FACTORTEN DEP ANG VIG FAT CON
INVERSE ICEBERG INVERSE ICEBERG PROFILEPROFILE
807570656055504540353025
SCORE
MOOD FACTORTEN DEP ANG VIG FAT CON
Mood and performanceMood and performanceMeta-analysis of mood in Meta-analysis of mood in sport (Beedie, Terry, & sport (Beedie, Terry, &
Lane, 2000)Lane, 2000)• Vigour is associated with facilitated Vigour is associated with facilitated
performanceperformance• Confusion, Fatigue, and Depression are Confusion, Fatigue, and Depression are
associated with debilitated associated with debilitated performanceperformance..
• Anger and Tension were associated with Anger and Tension were associated with facilitated performance in some studies facilitated performance in some studies and debilitated performance in others.and debilitated performance in others.
Theory and Theory and measurement issues measurement issues
that needed that needed addressing addressing
concurrentlyconcurrently
Measurement of mood in Measurement of mood in sportsport
• Terry, Lane, Lane, and Keohane (1999, 2003) Terry, Lane, Lane, and Keohane (1999, 2003) developed a 24-item scale that assesses anger, developed a 24-item scale that assesses anger, confusion, depression, fatigue, tension and confusion, depression, fatigue, tension and vigour (The Brunel Mood Scale: BRUMS).vigour (The Brunel Mood Scale: BRUMS).
o Face validity Face validity o Factor validity Factor validity o Predictive and concurrent validityPredictive and concurrent validityo The BRUMS is the most comprehensively The BRUMS is the most comprehensively
validated measure of POMS subscales available validated measure of POMS subscales available for sport researchers.for sport researchers.– It has also been successfully translated and shown It has also been successfully translated and shown
factorial validity for use in Arabic, Hungarian, and factorial validity for use in Arabic, Hungarian, and Italian athletes.Italian athletes.
Development of a Development of a theoretical model theoretical model
of mood-of mood-performance performance relationshipsrelationships
Figure 1: A conceptual model for prediction Figure 1: A conceptual model for prediction of performance from mood (Lane & Terry, of performance from mood (Lane & Terry,
2000)2000)
Reduced Reduced VigourVigour
VigourVigour
FatigueFatigue
ConfusionConfusion
AngerAnger
TensionTension
Increased Increased FatigueFatigue
IncreasedIncreased ConfusionConfusion
Increased Increased TensionTension
IncreasedIncreased AngerAnger
DepressionDepression
DebilitativeDebilitativeEffectsEffects
Reduced FacilitativeReduced FacilitativeEffectsEffects
No DepressionNo Depression
FacilitativeFacilitativeEffectsEffects
DebilitativeDebilitativeEffectsEffects
CurvilinearCurvilinearEffectsEffects
Figure 2: Lane and Terry (2000): High Figure 2: Lane and Terry (2000): High anger, confusion, fatigue, and tension and anger, confusion, fatigue, and tension and
low vigour will be associated with low vigour will be associated with Depressed mood.Depressed mood.
0
10
20
30
40
50
60
70
T-scores
Anger Confusion Fatigue Tension Vigour
No-depression Depression
Mood state scores by Mood state scores by depressed mood: A review depressed mood: A review
(Lane & Terry, 2005)(Lane & Terry, 2005)Figure 3. Effect sizes for differences in mood states
by depression scores
0
0.2
0.4
0.6
0.8
1
Anger Confusion Fatigue Tension Vigour
Mood
Effe
ct s
ize
Figure 4: Effects sizes for mood performance relationships by depression scores
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
No-depression
Depressed mood
Figure 4: Effects sizes for mood performance relationships by depression scores
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
No-depression
Depressed mood
Theoretical Theoretical developmentsdevelopments
• Integrate more positive mood states Integrate more positive mood states into the Lane and Terry (2000) model.into the Lane and Terry (2000) model.
• Explore relationships between mood Explore relationships between mood and emotional intelligence (Lane, and emotional intelligence (Lane, Devonport, & Galloway, 2005; Lane, Devonport, & Galloway, 2005; Lane, Soos et al., 2005).Soos et al., 2005).– Emotional intelligence, mood-regulation, Emotional intelligence, mood-regulation,
and mood states are the focus of current and mood states are the focus of current applied research projects.applied research projects.
Figure 5: A Revised Lane & Terry (2000) Figure 5: A Revised Lane & Terry (2000) model (Lane, in press)model (Lane, in press)
Reduced Reduced VigourVigour
VigourVigour
CalmnessCalmness
AngerAnger
TensionTension
ReducedReducedCalmnessCalmness
ReducedReduced HappinessHappiness
Increased Increased TensionTension
IncreasedIncreased AngerAnger
DepressionDepression
DebilitativeDebilitativeEffectsEffects
Reduced FacilitativeReduced FacilitativeEffectsEffects
No DepressionNo Depression
FacilitativeFacilitativeEffectsEffects
CurvilinearCurvilinearEffectsEffects
HappinessHappiness
Emotional intelligence, Mood Emotional intelligence, Mood states for student athletesstates for student athletes
(Ciarrochi, Forgas, & Mayer, 2001)(Ciarrochi, Forgas, & Mayer, 2001)
EventsEventsOutcomesOutcomes
Competition demandsAcademic demands
Adaptation
Emotional intelligencePerceiving emotion, Perceiving emotion,
Integrating emotion in thought,Integrating emotion in thought,
Understanding emotion, and Understanding emotion, and
Managing emotionManaging emotion
Athletic successAcademic success
Mood states
Mood, emotional Mood, emotional intelligence and intelligence and
performanceperformance• Based on data from 150 student Based on data from 150 student athletes, Lane, Thelwell et al. athletes, Lane, Thelwell et al. (2005) found mood states (2005) found mood states associated with success in sport associated with success in sport differ to success in differ to success in examinations.examinations.
Mood and performance in sport and examination domains
0.000.501.001.502.002.503.003.50
Best Sport
Best Examination
Worst Sport
Worst Examination
Lane, Thelwell et al. 2005 Lane, Thelwell et al. 2005 continuedcontinued
Anger by performance (sport and examination) by emotional intelligence
0.00
0.50
1.00
1.50
2.00
Bestcompetition
Worstcompetition
Bestexamination
Worstexamination
Low EI
High EI
Developing emotional Developing emotional intelligence with student intelligence with student
athletesathletesSport and exercise
psychologist
Learning and performing in academia
Learning and performing in sport
Explore mood-performance
relationships in sport /college
Develop self-regulation skills
Mood Responses to World Mood Responses to World Championship competition: Championship competition:
A case study of World A case study of World Champion professional boxer Champion professional boxer
(Lane, 2003)(Lane, 2003)
Mood scores between best Mood scores between best and worst performanceand worst performance
30
35
40
45
50
55
Anger Depression Fatigue Tension Vigour
Best performanceWorst performance
Psychological skillsPsychological skills
• Use of video to develop:Use of video to develop:• Imagery scriptsImagery scripts• Performance accomplishmentsPerformance accomplishments
• Use of music for relaxation and activationUse of music for relaxation and activation• Concentration training to enhance Concentration training to enhance
attentional control – required to switch attentional control – required to switch between roundsbetween rounds
• Develop communication skills with Develop communication skills with coach, particularly between roundscoach, particularly between rounds
Temporal considerationsTemporal considerations
• Develop mental game plan for fight 4 Develop mental game plan for fight 4 weeks beforehand (when within target weeks beforehand (when within target weight)weight)
• What if scenarios for anxiety, fatigue, What if scenarios for anxiety, fatigue, poor performance.poor performance.
• Develop impression management skills Develop impression management skills for weigh-in, dealing with media.for weigh-in, dealing with media.
• Develop and practice plan for three Develop and practice plan for three hours before the contest.hours before the contest.
Mood management Mood management SummarySummary
• Identification of potentially Identification of potentially debilitating moods is crucialdebilitating moods is crucial– Encourage athletes to be aware of their Encourage athletes to be aware of their
moodsmoods– Encourage athletes to identify the Encourage athletes to identify the
causes of moods and seek strategies to causes of moods and seek strategies to regulate these moods (see Stevens & regulate these moods (see Stevens & Lane, 2001)Lane, 2001)
Conclusion: Conclusion: A model of A model of the lecturer-the lecturer-practitionerpractitioner
• Identification of variables that influence Identification of variables that influence performanceperformance
• Develop robust measuresDevelop robust measures• Test theoretical relationships and form Test theoretical relationships and form
new ones, and re-test.new ones, and re-test.• Conduct theoretically driven Conduct theoretically driven
interventionsinterventions– Test and modify in the light of resultsTest and modify in the light of results
Thank you….Thank you….