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Information on the Experiences in Close Relationships-Revised (ECR-R) Adult Attachment Questionnaire


R. Chris Fraley
University of Illinois at Urbana-Champaign




The Experiences in Close Relationships-Revised (ECR-R) questionnaire is a revised version of Brennan, Clark, and Shaver's (1998) Experiences in Close Relationships (ECR) questionnaire. The items on the ECR-R were selected using techniques based on Item Response Theory, but were selected from the same item pool as those from the ECR. Both the ECR and the ECR-R are designed to assess individual differences with respect to attachment-related anxiety (i.e., the extent to which people are insecure vs. secure about the extent to which their partner's availability and responsiveness) and attachment-related avoidance (i.e., the extent to which people are uncomfortable being close to others vs. secure depending on others). This web page is designed to answer some frequently asked questions about the ECR-R. More detailed information about the ECR-R can be found in the original article in which the questionnaire was published:
Fraley, R. C., Waller, N. G., & Brennan, K. A. (2000). An item-response theory analysis of self-report measures of adult attachment. Journal of Personality and Social Psychology, 78, 350-365.
If you would like a copy of this article, please contact me. If you would like to download a PDF version of the article, you can do so on the "publications" page of my web site.

For more general information on the measurement of adult attachment via self-report, please see the on-line document, Self-Report Measures of Adult Attachment, (and the references therein) by Phil Shaver and Chris Fraley.

For more information on the two-dimensional model of individual differences in adult attachment, please see the following overview of theory and research on adult attachment: A Brief Overview of Adult Attachment Theory and Research by Chris Fraley.


Frequently asked questions about the Experiences in Close Relationships-Revised measure


Q: Where can I find the ECR-R items?

A. You can find the ECR-R items in the Fraley, Waller, and Brennan (2000) JPSP paper. The items can also be easily copied-and-pasted into MS Word via the page at this link.



Q: Is the ECR-R different from the on-line Close Relationships Questionnaire / Attachment Style Questionnaire that I saw on the Internet?

A. The ECR-R is the same instrument as the 'Close Relationships Questionnaire' or the 'Attachment Style Questionnaire' at http://www.web-research-design.net/cgi-bin/crq/crq.pl.

Update Dec 9, 2005: The "Attachment Style Questionnaire" that is on-line is now a modified version of the original ECR-R. Approximately 16 of the items are from the original instrument; the remainder are selected at random from an item bank of over 300 items in an attempt to identify items that can be used to improve the scales. Thus, please do not simply copy and paste the items from the online questionnaire under the assumption that those are the complete set of ECR-R items. Moreover, please do not use the online questionnaire as a method for scoring your own paper-and-pencil tests.



Q: How do I score the ECR-R?

A. For each person, average (or sum) the scores for all items within each scale. The items, separated by scale, are listed below. Note: It is important to "reverse key" the items denoted with an * before averaging item responses. Items such as "I rarely worry about my partner leaving me" should be keyed as counting against scores on anxiety, not for scores on anxiety. The easiest way to do this is to subtract 8 from each reverse keyed item (thus, a high score of 6 becomes a low score of 2, for example) before averaging them. You can find more information on scoring at this link

If you are familiar with IRT, you can also use the item parameter estimates reported in our 2000 article (and below) to scale people with respect to anxiety and avoidance. This is most easily accomplished by using an existing IRT program for graded response data, such as MULTILOG.



Q: Do you know where I can find information on the reliabilty and validity of the ECR-R scales?


A. The commonly used estimate of internal consistency reliability tends to be .90 or higher for the two ECR-R scales. As discussed in the 2000 article, IRT analyses suggest that the reliability might be a bit less at the secure end of both dimensions than at the insecure end of the dimensions.

Further information about the reliability and validity of the scales can be found in the following publication(s):
Sibley, C. G., & Liu, J. H. (2004). Short-term temporal stability and factor structure of the revised experiences in close relationships (ECR-R) measure of adult attachment. Personality and Individual Differences, 36, 969-975.

If you are interested in IRT-based estimates of the ECR-R items, the alpha (a) and beta (b) values for each item are included in Tables 2 and 3 of the Fraley, Waller, and Brennan article. I have reproduced these tables below for convenience. Note: The alpha value in IRT is a lot like the alpha estimate of reliability in standard test theory. The major difference is that alpha is estimated at each point along the latent continuum. This allows one to see how the reliability of the scores may vary as a function of how secure or insecure an individual is. The graphs of these conditional alphas are provided in the Fraley, Waller, and Brennan (2000) article. The more common alphas tend to exceed .90 for each scale.

Items for the Experiences in Close Relationships-Revised inventory, and item response theory parameter estimates.

IRT item parameter estimates for the 18-item ECR-R subscale of Anxiety

 
 
               
 
 
  Item parameter estimates
Item no.

Anxiety items

  a b 1 b 2 b 3 b 4 b 5 b 6
168

I'm afraid that I will lose my partner's love.

  2.79 -1.12 -0.39 0.00 0.45 1.08 1.70
57

I often worry that my partner will not want to stay with me.

  2.33 -1.38 -0.52 -0.12 0.41 1.15 1.85
1

I often worry that my partner doesn't really love me.

  2.21 -1.07 -0.21 0.25 0.82 1.53 2.11
83

I worry that romantic partners won’t care about me as much as I care about them.

  2.10 -1.64 -0.76 -0.39 0.19 0.93 1.80
110

I often wish that my partner's feelings for me were as strong as my feelings for him or her.

  1.98 -1.32 -0.57 -0.29 0.28 0.86 1.58
245

I worry a lot about my relationships.

  1.93 -1.71 -0.73 -0.20 0.36 1.00 1.75
226

When my partner is out of sight, I worry that he or she might become interested in someone else.

  1.87 -1.36 -0.45 0.04 0.50 1.32 2.05
142

When I show my feelings for romantic partners, I'm afraid they will not feel the same about me.

  1.74 -1.85 -0.89 -0.40 0.16 0.90 1.80
191

I rarely worry about my partner leaving me.

* 1.50 -1.86 -0.67 -0.06 0.60 1.29 2.26
208

My romantic partner makes me doubt myself.

  1.49 -0.72 0.35 0.87 1.68 2.43 3.62
82

I do not often worry about being abandoned.

* 1.36 -1.69 -0.45 0.11 0.73 1.42 2.22
74

I find that my partner(s) don't want to get as close as I would like.

  1.36 -1.38 -0.29 0.16 1.07 1.96 2.99
112

Sometimes romantic partners change their feelings about me for no apparent reason.

  1.35 -1.31 -0.18 0.30 1.02 1.73 2.59
89

My desire to be very close sometimes scares people away.

  1.35 -0.90 0.11 0.50 1.09 1.91 2.81
78

I'm afraid that once a romantic partner gets to know me, he or she won't like who I really am.

  1.34 -0.97 0.10 0.52 1.00 1.65 2.61
99

It makes me mad that I don't get the affection and support I need from my partner.

  1.32 -1.52 -0.45 0.03 0.79 1.74 2.69
280

I worry that I won't measure up to other people.

  1.24 -1.91 -0.71 -0.29 0.33 1.18 2.25
87

My partner only seems to notice me when I’m angry.

  1.24 -0.45 0.83 1.40 2.17 2.86 3.53
Note. Items are sorted by their discrimination (alpha) values. * denotes items that are reverse keyed.
IRT item parameter estimates for the 18-item ECR-R attachment subscale of Avoidance
 
 
               
 
 
  Item parameter estimates
Item no.

Avoidance items

  a b 1 b 2 b 3 b 4 b 5 b 6
199

I prefer not to show a partner how I feel deep down.

  2.28 -1.22 -0.35 0.06 0.57 1.09 1.84
131

I feel comfortable sharing my private thoughts and feelings with my partner.

* 2.17 -0.84 0.07 0.63 1.15 1.66 2.28
59

I find it difficult to allow myself to depend on romantic partners.

  2.08 -1.76 -0.73 -0.19 0.32 0.97 1.92
265

I am very comfortable being close to romantic partners.

* 2.03 -1.30 -0.26 0.43 1.06 1.64 2.58
171

I don't feel comfortable opening up to romantic partners.

  2.00 -1.32 -0.32 0.26 0.79 1.41 2.32
267

I prefer not to be too close to romantic partners.

  1.95 -1.33 -0.21 0.44 1.12 1.64 2.48
201

I get uncomfortable when a romantic partner wants to be very close.

  1.94 -1.19 -0.31 0.20 0.74 1.25 2.01
36

I find it relatively easy to get close to my partner.

* 1.93 -1.23 -0.26 0.42 0.97 1.56 2.44
279

It's not difficult for me to get close to my partner.

* 1.89 -1.42 -0.37 0.22 0.76 1.34 2.20
119

I usually discuss my problems and concerns with my partner.

* 1.88 -1.07 -0.04 0.81 1.44 2.15 3.16
238

It helps to turn to my romantic partner in times of need.

* 1.86 -1.19 -0.08 0.84 1.60 2.22 3.04
14

I tell my partner just about everything.

* 1.85 -1.05 -0.12 0.45 1.01 1.62 2.48
294

I talk things over with my partner.

* 1.84 -0.89 0.09 0.84 1.51 2.11 2.83
105

I am nervous when partners get too close to me.

  1.84 -1.34 -0.36 0.14 0.68 1.34 2.28
242

I feel comfortable depending on romantic partners.

* 1.74 -2.06 -1.01 -0.11 0.57 1.21 2.12
220

I find it easy to depend on romantic partners.

* 1.65 -2.18 -1.05 -0.20 0.55 1.17 2.05
300

It's easy for me to be affectionate with my partner.

* 1.63 -0.95 0.05 0.61 1.20 1.91 2.89
228

My partner really understands me and my needs.

* 1.60 -1.77 -0.71 0.26 1.16 1.90 2.86
Note. Items are sorted by their discrimination (alpha) values. * denotes items that are reverse keyed.




Q: Do you have any norms for the ECR-R?


A: There are some ECR-R norms available based on people who have taken the ECR-R on-line. The following statistics are based on a sample of over 22,000 people (78% female) with an average age of 24 (SD = 10). Fifteen percent of the sample was married.

Here are some of the summary statistics:

Avoidance

Anxiety
 Overall (full sample)
M = 2.93, SD = 1.18
M = 3.64, SD = 1.33
     
 Sex
   Male
M = 2.88, SD = 1.15
M = 3.64, SD = 1.33
   Female
M = 2.95, SD = 1.19
M = 3.64, SD = 1.33
     
 Marital status
    Married
M = 2.87, SD = 1.27
M = 3.64, SD = 1.33
    Single
M = 2.94, SD = 1.16
M = 3.71, SD = 1.31
 
 Age
   20
2.90
3.67
   30
2.97
3.56
   40
3.04
3.45
   50
3.11
3.34
   60
3.18
3.23
     

Note. The values for age represent the predicted values for variable ages based on a regression model that models avoidance and anxiety as a function of age in years. The equation for avoidance is 22.759 + .007*AGE (r = .06). The equation for anxiety is 3.892 - .001*AGE (r = -.08).

In the full sample, the correlation between the avoidance and anxiety scales was .41.




Q: Do I need permission to use these scales in my research?


A: No. The scales were published in a scientific journal for use in the public domain. You do not need to contact any of the authors for permission to use these scales in non-commercial research. You may not use the scales for commercial purposes without permission.




Q: The ECR-R items appear to be written for people in romantic relationships. Can I modify the items to make them relevant to other kinds of relationships, such as parental or sibling relationships?


A: You should feel free to modify the items in any way that seems appropriate to you. Many people have modified the items for their research purposes and you should feel free to do the same. We have recently developed a new (and shorter) version of the ECR-R that can be used for a variety of relational targets. To take an online version of that test, please visit this link: ECR-Relationship Structures. Additional information about this measure is available here.




Q: Is there a way to categorize people into a specific attachment category (i.e., secure, fearful, dismissing, preoccupied) on the basis of their scores on the two ECR-R dimensions?


A: Over the years I have been very interested in the question of whether attachment styles are categorical variables (i.e., matters of kind) or continuous variables (i.e., matters of degree). Taxometric analyses on multiple samples suggest that variation in attachment is best modeled with dimensions rather than categories (see Fraley & Waller, 1998; Fraley & Spieker, 2003a, 2003b). If you classify people on the basis of their scores, you are necessarily reducing the precision of measurement and lowering your statistical power. I would strongly recommend against classifying people on the basis of their continuous scores.

A number of people have written me and asked how to analyze attachment data using the two attachment dimensions. I would recommend using multiple regression to analyze the standard kinds of data that psychologists collect (i.e., the kinds of data that, if you were to use categories, would call for ANOVA). For example, if you're trying to predict a continuous dependent variable, such as relationship satisfaction, from the attachment dimensions, you could estimate the parameters of the following regression equation:

  Relationship Satisfaction = (constant/intercept) + Beta1*Anxiety + Beta2*Avoidance + (residual variance).

Using this general analytic framework allows you to study attachment in a continuous manner. Importantly, it also allows you to interpret your results in a manner that is conceptually aligned with Bartholomew's four attachment prototypes (e.g., secure, fearful, preoccupied, dismissing)--but in a way that allows other regions of the two-dimensional space to be accurately represented. The table below is designed to illustrate the way different patterns of regression coefficients (e.g., beta weights) can be interpreted with respect to various attachment patterns.

Regression coefficients
General interpretation
Beta 1 (for Anxiety)
Beta 2 (for Avoidance)
 
0
0
This pattern of coefficients indicates that attachment is unrelated to the dependent variable.
 
0
+
This pattern of coefficients indicates that, although anxiety is unrelated to the dependent variable, avoidance is positively related to it. As such, the more avoidant people are with respect to attachment, the higher their scores on the dependent variable.

With respect to Bartholomew's prototypes, this pattern of coefficients suggests that highly fearful and dismissing people (i.e., people on the high end of the avoidance dimension) score higher on the dependent variable than highly secure and preoccupied people (i.e., people on the low end of the avoidance dimension).
 
0
-
This pattern of coefficients indicates that, although anxiety is unrelated to the dependent variable, avoidance is negatively related to it. As such, the more avoidant people are with respect to attachment, the lower their scores on the dependent variable.

With respect to Bartholomew's prototypes, this pattern of coefficients suggests that highly fearful and dismissing people (i.e., people on the high end of the avoidance dimension) score lower on the dependent variable than highly secure and preoccupied people (i.e., people on the low end of the avoidance dimension).
 
+
0
This pattern of coefficients indicates that, although avoidance is unrelated to the dependent variable, anxiety is positively related to it. As such, the more anxious people are with respect to attachment, the higher their scores on the dependent variable.

With respect to Bartholomew's prototypes, this pattern of coefficients suggests that highly preoccupied and fearful people (i.e., people on the high end of the anxiety dimension) score higher on the dependent variable than highly secure and dismissing people (i.e., people on the low end of the anxiety dimension).
 
+
+
This pattern of coefficients indicates that both avoidance and anxiety are positively related to the dependent variable. As such, the more anxious and avoidant people are with respect to attachment, the higher their scores on the dependent variable.

With respect to Bartholomew's prototypes, this pattern of coefficients suggests that highly fearful people (i.e., people on the high end of both the anxiety and avoidance dimensions) score higher on the dependent variable than highly secure people (i.e., people low on both dimensions). Prototypically dismissing and preoccupied people are somewhere in-between. When both coefficients are positive, the effect is driven by both dimensions. The combination of these two dimensions is sometimes referred to as the "insecure vs. secure" axis in the two-dimensional space.
 
+
-
This pattern of coefficients indicates that anxiety is positively related to the dependent variable and avoidance is negatively related to the dependent variable. As such, the more anxious and less avoidant people are with respect to attachment, the higher their scores on the dependent variable.

With respect to Bartholomew's prototypes, this pattern of coefficients suggests that highly preoccupied people (i.e., people on the high end of the anxiety dimension and the low end of the avoidance dimension) score higher on the dependent variable than highly dismissing people (i.e., people on the low end of the anxiety dimension and the high end of the avoidance dimension). Prototypically secure and fearful people are somewhere in-between. When the coefficients exhibit this pattern, the effect is driven by both dimensions. This particular combination of the two dimensions is sometimes referred to as the "hyperactiving vs. deactivating" axis in the two-dimensional space.
 
-
0
This pattern of coefficients indicates that, although avoidance is unrelated to the dependent variable, anxiety is negatively related to it. As such, the more anxious people are with respect to attachment, the lower their scores on the dependent variable.

With respect to Bartholomew's prototypes, this pattern of coefficients suggests that highly secure and dismissing people (i.e., people on the low end of the anxiety dimension) score lower on the dependent variable than highly fearful and preoccupied people (i.e., people on the high end of the anxiety dimension).
 
-
+
This pattern of coefficients indicates that avoidance is positively related to the dependent variable and anxiety is negatively related to the dependent variable. As such, the more avoidant and less anxious people are with respect to attachment, the higher their scores on the dependent variable.

With respect to Bartholomew's prototypes, this pattern of coefficients suggests that highly dismissing people (i.e., people on the high end of the avoidance dimension and the low end of the anxiety dimension) score higher on the dependent variable than highly preoccupied people (i.e., people on the low end of the avoidance dimension and the high end of the anxiety dimension). Prototypically secure and fearful people are somewhere in-between. When the coefficients exhibit this pattern, the effect is driven by both dimensions. This particular combination of the two dimensions is sometimes referred to as the "deactivating vs. hyperactiving" axis in the two-dimensional space.
 
 
-
-
This pattern of coefficients indicates that both avoidance and anxiety are negatively related to the dependent variable. As such, the more anxious and avoidant people are with respect to attachment, the lower their scores on the dependent variable.

With respect to Bartholomew's prototypes, this pattern of coefficients suggests that highly secure people (i.e., people on the low end of both the anxiety and avoidance dimensions) score higher on the dependent variable than highly fearful people (i.e., people high on both dimensions). Prototypically dismissing and preoccupied people are somewhere in-between. When both coefficients are negative, the effect is driven by both dimensions. The combination of these two dimensions is sometimes referred to as the "secure vs. insecure" axis in the two-dimensional space.
 

Note: It is also possible to test the interaction between attachment-related anxiety and avoidance, although, in my experience, the interaction rarely explains much variance in dependent variables. It is necessary to include the interaction term if you are predicting a pattern of results that cannot be modeled as an additive combination of the two dimensions. For example, if you predict that highly secure people will be high on variable X and that highly dismissing, fearful, and preoccupied people will be low on variable X, it is necessary to include an interaction term to characterize such a pattern because, by definition, this pattern cannot be represented fully as an additive combiation of anxiety and avoidance. For examples of this usage, see Fraley & Bonanno (2004).





Q: I have heard that there is an on-line measure based on the ECR-R where students can take the ECR and have their scores on the two dimensions plotted for them.

A: Yes, the site is located at http://www.yourPersonality.net/. The site also provides information on attachment theory more generally, and can be used for educational purposes, or just for fun (or both).

(Important note added Sept 2003: I have recently learned that some people are "scoring" paper-and-pencil versions of the ECR-R by entering their participants' responses into the web page and allowing the web page to score the responses. Please note that the web page automatically randomizes the order of the questions. In other words, each time you load the web page, the items will appear in a different order. If you're simply entering in responses without attending to the order in which the items appear, you will get useless results. Also, sometimes the page only uses some items from the ECR-R; other items are rotated in on an experimental basis. The online test is not meant to be a mechanism by which other researchers can assess attachment for their research purposes. It is an educational tool and one that we use for experimental purposes to collect basic data on item functioning.)




Q: What are the advantages of using the ECR-R over the ECR?

A: We are not sure if there are any advantages at this point. In our article, we were using Item Response Theory to illustrate how theoretical inferences about important developmental issues can vary as a function of the item response properties of the measurement scale--properties that researchers rarely consider. Our analyses convinced me (Fraley) that the attachment scales suffer from some critical problems (i.e., they don't assess "security" with as much precision as "insecurity"), but, ultimately, this is a problem with the item pool available for scale construction. In other words, the ECR and the ECR-R are based on the same item pool, and, consequently, the ECR-R can only improve measurement to a minor degree. We believe that future research must attempt to assess the secure region with more precision. Once these improvements have been made, we hope to recommend the new instrument (the ECR-RR???) over either of the existing ECR derivatives. In the meantime, I suspect that the ECR and the ECR-R are, for all practical purposes, identical measures of attachment. We hope people will continue to improve the measurement of adult attachment patterns.



Document last updated: July 23, 2005; Dec 10, 2005; Dec 2010. Thanks to Kathy Carnelley for spotting a typo. :-)
 

Self-Report Measures of Adult Attachment