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The Couples Satisfaction Index (CSI). Ronald D. Rogge Asst. Professor of Psychology University of Rochester rogge@psych.rochester.edu www.couples-research.com. Overview. PART 1: Development of CSI Existing scales Development of new scale Cross-sectional validation
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1. The Couples Satisfaction Index (CSI) Ronald D. Rogge
Asst. Professor of Psychology
University of Rochester
rogge@psych.rochester.edu
www.couples-research.com
2. Overview PART 1: Development of CSI
Existing scales
Development of new scale
Cross-sectional validation
Longitudinal validation
PART 2: Use & Interpretation of CSI
Administration
Scoring
Interpretation
Norms
3. PART 1: Existing Scales Strengths
20-30 years of converging results
Clearly measure satisfaction
Limitations
20-30 years old
Heterogeneous content
Unknown noise
4. Existing Scales
5. Evaluating Scales Item Response Theory
Used to create SAT, GRE, MCAT
Item by item analysis
If happy, higher responses?
If unhappy, lower responses?
Requires large samples
Estimates parameters for each item
Estimates parameter for each subject
Sample-Independent Results
6. DAS-31 (Please indicate the degree of happiness, all things considered, of your relationship.)
7. DAS/MAT 5Agreement on: FRIENDS
8. Study 1: Goals Evaluate current scales
DAS, MAT, QMI, RAS
IRT in large sample
Develop CSI
Large item pool
Factor analysis
IRT
9. Study 1: Method Online survey (N = 5,315)
Contents
141 satisfaction items
Items from DAS, MAT, QMI, RAS
71 additional items
7 anchor scales
e.g., neuroticism, hostile conflict, stress
2 validity scales
10. Study 1: Sample Avg 26yo (SD=10yr)
26% High School or less
83% Female
76% Caucasian
Relationships
24% Married (avg 6.3yrs)
16% Engaged
60% Committed dating
11. Relationship Quality
12. Evaluating Previous Scales IRT results
Evaluated 66 items of existing scales
Some very informative items
Many poor items
13. DAS-31 (Please indicate the degree of happiness, all things considered, of your relationship.)
14. QMI-1We have a good relationship
15. SMD-2BAD 1 – 2 – 3 – 4 – 5 – 6 GOOD
16. DAS/MAT 5Agreement on: FRIENDS
17. DAS/MAT 6Agreement on: SEX RELATIONS
18. DAS/MAT 9 Agreement on: WAYS OF DEALING WITH PARENTS OR IN-LAWS
19. MAT 12In leisure time, do you (and does your mate) prefer to be “on the go” or to stay at home?
20. From Items to Scales A scale’s information
= sum of information from each item
How informative
Across different levels of happiness
21. Scale Information
22. Summary MAT and DAS have poor items
Increases NOISE
MAT-15 no better than 4-item scale
DAS-32 little better than 6-item scale
Assess satisfaction, but not very efficiently
Poor thermometers
23. Creating the CSI 141 item pool
Screen for contaminating items
Screen for redundant items
IRT on remaining 66 items
Select 32 most effective
24. Parameter Invariance
25. Basic Psychometrics
26. Correlations with Anchors
27. Criterion Validity DAS Distress groups
Current gold-standard
DAS score < 97.5
1027 DAS distressed P’s
ROC’s to identify CSI cut scores
Identified CSI distressed P’s
91% agreement w/ DAS
28. Summary Operate similar across
Male vs. Female
Older vs. Younger
Married vs. Engaged vs. Dating
CSI measures same construct
Nearly identical correlations
Highly similar screen for distress
Evaluating Possible Improvement
CSI-32 vs. DAS-32
CSI-16 vs. MAT-15
CSI-4 vs. DAS-4
More information?
Less noise?
Better thermometer?
29. Scale Information
30. Relative Efficacies
31. Satisfaction Groups IRT satisfaction estimates
For each subject
Based on MAT, DAS, & CSI items
(equivalent of SAT scores)
Created satisfaction groups
N = 265 in each group
Levels of sat. HIGHLY similar within each group
MAT, DAS & CSI scores also similar?
32. Precision: CSI-32 vs. DAS
33. Precision: CSI-16 vs. MAT
34. Effect Size Ability to detect difference
Between groups
Pre – Post
Effect Size = M1 – M2 .
pooled SD
Difference in SD units
Power for detecting D’s in SAT groups
35. Power: CSI-32 vs. DAS
36. Power: CSI-16 vs. MAT
37. Conclusions CSI scales
More information
Less noise
More power
Better thermometers
NEXT STEP
True over time?
Better at detecting change?
38. Studies 2, 3, 4: Method Study 2
596 online respondents
1 and 2 week follow ups (n = 267)
CSI, MAT, DAS
Study 3
398 online respondents
1, 2, 3, 4, 6 and 12 mo follow ups (n = 156)
CSI, MAT, DAS
Study 4
1,062 online respondents
1, 2, 3, 4, 6 and 12 mo follow ups (n = 545)
CSI, MAT
39. Studies 2-4: Demographics SAMPLE
N = 2,056 initial respondents
N = 968 (47%) respondents with longitudinal data
AGE
M = 27.7yo (9.3yrs)
GENDER
71% Female
29% Male
RACE
83% Caucasian
5% Asian
4% African American
4% Latino
SES
10% High school diploma or less
25K avg yearly income
40. Studies 2-4: Relationships Relationship Types
37% Married: 7.9 yrs (7.9 yrs)
13% Engaged: 3.2 yrs (2.4 yrs)
50% Dating: 1.8 yrs (1.9 yrs)
Relationship Satisfaction (MAT)
Married: 108 (32)
Engaged: 122 (24)
Dating: 116 (24)
Dissatisfied Respondents
24% (n = 487)
41. Change Criterion How much has each of these changed?
Overall happiness in the relationship
Feeling close and connected
Stability of the relationship
Averaged responses
Alpha = .92
Agree with MAT, DAS, & CSI scores?
42. Noise over time (SERM) Score scatter in “no change” group
238 “no change” at 1st assessment
Repeated Measures MANOVA
Scatter (noise) in scale scores across time
SERM = 2*MSE
43. Detecting Individual Change Can we detect individual change?
Minimal Detectible Change (MDC95)
RCI: Jacobson & Truax (1991)
MDC95: Stratford et al. (1996)
Pre-Post score change
In one individual
Necessary to exceed noise
MDC95 (SD units) = 1.96*SERM .
SD
44. Minimum Detectible Change How much must an individual’s score shift to show significant change?
45. Detecting Individual Change CSI scales more sensitive
Required smaller pre-post score shifts
Longer scales more sensitive
CSI-32 > CSI-16 > CSI-4
MAT & DAS not as sensitive
Operated no better than CSI-4
46. Detecting Group Differences Can we detect clinically distinct groups?
Improved vs. No-change
Deteriorated vs. No-change
Minimal Clinically Important Difference (MCID)
Guyatt, Walter & Norman (1987)
MCID Effect Size = M(improved) – M(no change)
Noise over time (SERM)
HLM framework
Global change predicting D scores on scales
2,475 points of change from 968 respondents
Improved vs. Deteriorated
Satisfied vs. Dissatisfied
Gender effects
47. MCID Effect Sizes How well can we detect naturally occurring change?
48. Differences by Gender Scales showed slightly smaller effect sizes in men
49. Detecting Group Differences CSI-32 & CSI-16
Out performed DAS & MAT
Improvement / Deterioration
Satisfied / Dissatisfied
CSI-4
Deterioration: Out performed DAS & MAT
Improvement: Equivalent to DAS & MAT
Weak gender effect
All scales slightly less responsive in males
50. Summary of Development CSI scales represent improved thermometers
Developed with IRT / FA
No contaminating items
Non-redundant items
Most informative items
Still measure satisfaction
Consistent with MAT / DAS
Offer greater power
More information
Less noise
More sensitive cross-sectionally
Detecting group differences
More responsive over time
Detecting change in a single individual
Detecting differences between clinical groups
51. PART 2: Administration See CSI handout
Spouses complete separately
No discussion during administration
Want unique perspectives
Inform of confidentiality limits
Feedback given?
Dyadic or individual feedback?
Normative data
Should take 3-4 minutes
52. Scoring See CSI scoring handout
Sum the item responses
10 reverse scored items
High sat options offered first (items 2-5)
Reversed wording (items 10, 15…)
Total scores
Range from 0-161
53. Interpretation Box Plots
Dissatisfaction Cut Score
Scores below 104.5
54. Norms in Dating Individuals
55. Norms in Engaged Individuals
56. Norms in Married Individuals
57. Norms in Married Individuals