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1
Emotional Intelligence: Exploring the Education & Wellness Implications
James D. A. Parker,
Canada Research Chair in Emotion & Health
Trent University, Ontario
2
Outline
• pre-history of EI
• overview of EI models
• EI: the transition to adulthood perspective • EI: the child and adolescent perspective
3
Pre-History of EI: the Educational Psychology Perspective
• “social intelligence” (Thorndike, 1920)
• “nonintellective intelligence” (Wechsler, 1940)
• “multiple intelligence” (Garner, 1983)
• “practical intelligence” (Sternberg, 1985)
4
Pre-History of EI: the Clinical Perspective
• “psychological mindedness” (McCallum & Piper, 1997)
• “need for cognition” (Cacioppo & Petty, 1982)
• “levels of emotional awareness” (Lane & Schwartz, 1987)
• “alexithymia” (Sifneos, 1973)
5
Emotional Intelligence: Historical Overview
• Salovey & Mayer (1989/1990)
• Goleman (1995)• Bar-On (1997)
6
Bar-On Model of EI
InterpersonalAbilities
IntrapersonalAbilities
StressManagementAbilities
AdaptabilityAbilities
7
EI Models
• EI distinct from cognitive abilities• EI abilities develop over time• changes throughout life
• can be improved through training and remedial programs
8
EI across childhood/adolescence (EQ-i:YV)
0
10
20
30
40
50
7to8 9to10 11to12 13to14 15to16 17to18
Age-group
9
EI across adulthood (EQ-i)
0
10
20
30
40
50
60
20 30 40 50 60 70 80
Decade of life
10
When does EI change? (the importance of transitions)
• from elementary school to high school• high school to the workplace• high school to university• from single to being married• transition to parenthood• losing a job (changing jobs)• from marriage to divorce
11
EI as Vulnerability for Internalizing and Externalizing Problems: Young Adults
• 1st year Trent undergraduates (n = 1616; 472 men & 1144 women)
• rated themselves on EI, social anxiety & ADHD symptoms at the start of term (Sept.)
12
EI:EQ-i:Short
ADHD(CAARS)
-.73
-.68
EI:EQ-i:Short
Social Anxiety(SIAS)
-.77
-.75
Note: results for men above the arrow; women below
13
Family Study: EI and Internalizing and Externalizing Problems
• sample consists of 192 families (children and both biological parents)
• children (91 males and 101 females) ranged in age from 8 to 16 years
14
Measures
Children• EQ-i:YV• Children’s Depression
Inventory (CDI; Kovacs, 1992)
• Conners’ Rating Scale-Self Report (CRS; Conners, 1997)
Parents• EQ-i• CDI (Parent rating-
form; Kovacs, 2005)
• CRS (Parent rating-form)
15
Father’sRatings
Mother’sRatings
SelfRatings
Child’sMood
Child’sEI
.68
.83
.52
-.66
EI and depression symptoms
16
Father’sRatings
Mother’sRatings
SelfRatings
Child’sConduct
Child’sEI
.70
.51
.46
-.47
EI and conduct problems
17
Father’sRatings
Mother’sRatings
SelfRatings
Child’sConduct
Child’sEI
.50
.51
.51
-.52
EI and ADHD symptoms
18
EI: the Post-Secondary Perspective
19
Why do students withdraw?
• is there a link between academic success and EI?
20
Personal problems
Change of programs
Economic/healthproblemsOther
Reasons students withdraw
21
Common “personal problems”
• problems making new relationships • problems modifying existing
relationships (e.g., living apart) • difficulties learning new study habits
• problems learning to be independent
22
Trent Academic Success & Wellness Project (TASWP)
• phase 1 started in Sept. (1999) at Trent University
• initial goal was to develop an assessment protocol to identify 1st-year students at risk for “failure” using the EQ-i:Short.
• focus was on full-time students coming to Trent within 24 months of graduation from high-school
23
• 2 groups of particular interest:
‾ "successful" students (1st-year GPA of 80% or better)
‾ "unsuccessful" students (1st-year GPA of 59% or less)
TASWP (predicting academic success; Parker et al., 2004)
24
Two groups not significantly different on:
• high school GPA
• age• course load at start of year
25
2
2.5
3
3.5
4
4.5
5
Inter Intra Adapt StressM
80% or better59% or less
**
* p < .05
*
Mean EQ-i scores for 1st year students (GPA 80% or better vs. 59% or less)
26
Predicting “successful” and “unsuccessful” students using EI
Correct PredictionIncorrect Prediction
Correct PredictionIncorrect Prediction
Successful Unsuccessful
27
TASWP (predicting retention; Parker et al., 2005)
• 2 groups of interest:
‾ students who withdrew at some point before the start of 2nd year
‾ 2nd-year students at Trent (randomly matched with the 1st group on age, gender, and year starting at Trent)
28
Predicting students who persist vs. students who withdraw using EI
Correct Prediction
Incorrect PredictionCorrect PredictionIncorrect Prediction
Persist Withdraw
29
Replication & Extension of TASW
Project • 2000-2008: Trent U. (n = 7,000+); replication of
results using 3 different EI-related measures• 2002: US Pilot Project (n = 1,426)
– UNC Charlotte, U. Charleston, Georgia Southern U., U. Southern Mississippi, West Virginia U., Fairmont State College
• 2005-2008: several Ontario Colleges (n = 2,500)• 2003-2008: US/Europe Retention Projects (n =
11,000+ at 12 different institutions)
30
EI: Elementary and Secondary Perspectives
31
Trent Academic Success & Wellness Project (High School Performance; Parker, Creque et al., 2004)
• May 2002: students (grade 9 to 12) attending a high school in Huntsville, Alabama (n = 742) completed the EQ-i:YV during a home-room period
32
2 groups identified: • 138 students scoring at the 80th
percentile or better (for their grade) on end of year GPA
• 131 students scoring at the 20th percentile or less (for their grade) on end of year GPA
33
1.5
2
2.5
3
3.5
4
4.5
Inter Intra Adapt StressM
80th or better20th or less
*
*
* p < .05
*
Mean EQ-i:YV scores for high school students (80th percentile or better vs. 20th or less)
34
Lindsay Elementary School Study (Parker, unpublished)
• sample consisted of 72 students (42 males, 30 females) attending an elementary school in Lindsay, Ontario
• students ranged in age from 7-12 years (mean = 9.40 years; SD=1.16)
• completed the EQ-i:YV in Sept. and June
35
Predicting Academic Success
Correct Prediction
Incorrect Prediction
Above Average Below Average
36
Peterborough “Problem Child” Study
Conduct Problems Sample• 62 boys & 39 girls (7-17 yrs) recruited via
Children’s Aid Societies (CAS) • all in care of the CAS for at least 6 months (due
to previous or current emotional & behavioral problems)
• 83% were in a residential setting (group home); 17% were in foster care
37
Community Sample
• 101 children & adolescents randomly selected from the large EQ-i:YV normative pool (n = 9,172)
• matched with Group 1 on the basis of age and sex
38
Predicting “community sample” using EI
Correct PredictionIncorrect Prediction
39
Predicting “conduct problems” sample using EI
Correct PredictionIncorrect Prediction
40
Final thoughts: How can EI information be leveraged?
• supplemental information when working with special populations
• identifying children at risk for developing internalizing and/or externalizing problems
• useful information while monitoring treatment/intervention
• useful information for program or curriculum evaluation
41
Contact Information
James D. A. Parker,Dept. of Psychology, Trent University, Peterborough, ONK9J 7B8 Tel: 705-748-1011 x1283 Fax: 705-748-1580 [email protected]