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Mazloom M, Mohammadkhani S, Akbari M, Hasani J. Psychometric Properties of the Committed Action Questionnaire, the Persian Version. PCP 2020; 8 (2) :153-162
URL: http://jpcp.uswr.ac.ir/article-1-677-en.html
1- Department of Clinical Psychology, Faculty of psychology and education, Kharazmi University, Tehran, Iran. , mazloom.maryam@yahoo.com
2- Department of Clinical Psychology, Faculty of psychology and education, Kharazmi University, Tehran, Iran.
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1. Introduction
Committed action is an important process in the psychological flexibility model. It is conceptualized as the practice of behaviors consistent with a meaningful life that includes living by personal values, carrying out personal goals, despite experiencing unpleasant events, thoughts, emotions, and obstacles everyone will encounter (Forman, Herbert, Moitra, Yeomans, & Geller, 2007; McCracken, 2013). Committed action facilitates a moment-by-moment ability to discriminate between responses that are intended to avoid pain and to pursue what is valued. Furthermore, committed action requires a balance between persistence and flexibility, where goals underlying meaningful values are pursued despite discomfort or failure, but can be abandoned if they are repeatedly unmet (Bailey, Vowles, Witkiewitz, Sowden, & Ashworth, 2016; McCracken, 2013).
Until the past decade, no specific measure was available for the assessment of the committed action concept. For the first time, McCracken (2013) developed a self-report measure (committed action questionnaire [CAQ-24]) to assess the committed action in individuals with chronic pain. The preliminary results supported the internal consistency of the CAQ and its correlation with another component of the psychological flexibility model. Similarly, CAQ could explain the significant variance in various psychopathologic conditions, such as mental, and social functioning, and general health, (McCracken, 2013).
Initially, CAQ was developed as a 24-item questionnaire for the assessment of the committed action. Then, this measure reduced to an 18-item questionnaire, entailing flexible persistence in goal-directed behavior in the framework of the psychological flexibility model (McCracken, Chilcot, & Norton, 2015).
Initially, the committed action questionnaire (McCracken, 2013) was developed in a chronic pain context and was proved to be a valid and reliable instrument. It was correlated with several concepts namely acceptance, depression, and general health (McCracken, 2013). Recently, this questionnaire was utilized in various populations such as those with fibromyalgia (Galan et al., 2019) and burn injury (Shepherd et al., 2019).
As noted in the previous studies, the short version of the CAQ can be a helpful instrument for data gathering; therefore, CAQ-18 was reduced to an 8-item measure (McCracken, Chilcot, & Norton, 2015). Currently, the process of committed action can be measured by the short form of CAQ (Trindade, Marta‐Simões, Ferreira, & Pinto‐Gouveia, 2018; McCracken, 2013).
Recently we are observing the increasing interest in the utilization of CAQ in different languages, for example, psychometric evaluation of the Dutch version of CAQ-8 in a nonclinical sample (kraiss, 2014), validation of the Committed Action Questionnaire (CAQ-8 and CAQ-18) in a Swedish sample with chronic pain (Akerblom, Perrin, Fischer, & McCracken, 2016), preliminary analysis of Chinese version of QAC (Wong, McCracken, Wong, Chen, Chow, & Fielding, 2016) and also analyzing the psychometric properties of the CAQ-8 in both healthy Portuguese individuals and women with cancer (Trindade et al., 2018).
Nonetheless, Trindade et al. (2018) suggest that CAQ-8 is an adequate measure for the assessment of the committed action concept in individuals with cancer and healthy people both. The development of CAQ-18 and CAQ-8 was based on populations with chronic pain; therefore, the generalizing of psychometric findings to other samples require more investigation in various cultures and populations (McCracken, Chilcot, & Norton, 2015). Hence, this study aimed to analyses the psychometric properties of the CAQ-8 in Iranian healthy individuals.
We sought to validate the Persian version of the CAQ-8 and to investigate the generalization of the previous studies (Akerblom et al., 2016; Bailey et al., 2016; McCracken, 2013; McCracken, Chilcot, & Norton, 2015; Trindade et al., 2018). To explore the psychometric properties of the Persian version of the CAQ-8, exploratory and confirmatory factor analysis were conducted to clarify the factor structure of CAQ-8 in the Persian population.
2. Methods
Study design
 The present study is a correlational cross-sectional study.
Study participants
The study participants were recruited from University students. We calculate the sample size according to 15 cases per each indicator (Stevens, 2012). Given the probability of attrition and missing data, we considered 180 cases for this study. The inclusion criteria were students 18 years or older and able to understand and read the Persian language. The exclusion criteria were missing information, disinterest for participation in the study, and non-Iranian students. All participants gave their informed consent before participation, and ethical approval for this research was granted by the Kharazmi University Ethics Committee. Notably, this study was conducted in the general population, and SF-36 was utilized as an instrument for clinical screening. The convenience sampling method was utilized for data gathering, and the students in Kharazmi University Campus, dormitory, and classroom filled out a battery of questionnaires. Finally, the study included 180 university students (136 women [75.55%], 44 men [24.44%]) aged between 18 and 48 years (M=26.49, SD=5.99 years). Participants were mostly single (72.8%), and their education levels were BS. (44.4%), MS. (19.4%), and PhD. (33.9%). 
Translation of the CAQ-8
The translation of the CAQ-8 from the original English version to the Persian language was performed in several steps. First, CAQ-8 was translated from English to Persian by a Persian clinical health psychologist fluent in English and with adequate information about the committed action construct. Then the questionnaire was back-translated. The translated questionnaire was changed according to the recommendation of the expert group (three associate professors in clinical psychology, a PhD. candidate in health psychology, and an expert in English). Finally, the Persian version of the CAQ-8 was administered to 180 university students. 
Study measures
All participants completed a battery of questionnaires, including demographic questions and the following instruments. Committed action questionnaire (shortened version) (McCracken, Chilcot, & Norton, 2015)
Committed Action Questionnaire (CAQ-8) consists of two components, which includes eight items. Both components (positively phrased and negatively phrased) were taken from the original full-length CAQ. Like the original one, the short version has strong psychometric properties (McCracken, Chilcot, & Norton, 2015). Reliability, validity, and factor analysis of CAQ-8 in other languages such as Swedish (Akerblom et al., 2016), Chinese (Wong et al., 2016), and Portuguese version (Trindade et al., 2018) indicated sufficient similar results.Medical outcomes study questionnaire short form 36 items health survey (Ware, & Gandek, 1998).
The short form 36 items health survey (SF-36) is a widely used measure of health and functioning in health research (Ware & Gandek, 1998). The SF-36 involves eight subscales and covers several aspects of functioning and health, such as physical, emotional, and social functioning and performance. Higher scores indicate a better health state. The scoring for any subscale is different (for example: ranging from 1 to 3 for physical functioning subscale, and from 1 to 6 for vitality subscale) ( Ware, 1993; McHorney, Ware, & Raczek, 1993; Ware, John, & Sherbourne, 1992). The psychometric evaluation of the SF-36 demonstrated strong reliability (α=0.8) (McHorney, Ware, Lu, & Sherbourne, 1994; Ware, & Sherbourne, 1992). The psychometric properties of the Persian version of SF-36 used in this study have been confirmed by Montazeri, Goshtasebi, Vahdaninia, and Gandek (2005). The internal consistency indicated the reliability standards for all SF-36 subscales (Cronbach α=0.65 to 0.90) (Montazeri et al., 2005). The SF-36 is a wildly used self-report instrument for measuring general health. Acceptance and action questionnaire (Bond et al., 2011).
The Acceptance and Action Questionnaire (AAQ) was developed to assess the psychological processes and psychological flexibility (Hayes et al., 2004) and considered as a measure of two constructs (acceptance and experiential avoidance). AAQ-II includes two subscales (avoidance, and control). The original AAQ (include 22 items) was revised and reduced to 10 items (Bond et al., 2011). Each item is rated from 1 (never true) to 7 (always true). A psychometric assessment of the AAQ-II revealed high internal consistency and validity. Its alpha coefficient ranged from 0.78 to 0.88, and the test-retest reliability values were 0.81 (3 months) and 0.79 (12 months). The AAQ-II with better psychometric consistency, rather than AAQ-I (r=0.97) (Bond et al., 2011). The psychometric properties of the AAQ-II (Persian version) indicated the good reliability indexes (Cronbach α=0.89 and test-retest reliability=0.71) (Abbasi, Fata, Mouludi, & Zarrabi, 2013).
Depression, Anxiety And Stress Scale (DASS-21) (Lovibond & Lovibond, 1995):
The depression, Anxiety, and Stress Scale (DASS-21) is a 21-item self-report scale with three subscales: depression, anxiety, and stress. The respondents utilized a 4-point scale to represent the severity of distress in the recent week (Lovibond & Lovibond, 1995). The previous studies indicated that the DASS-21 has good psychometric properties. The DASS-21 subscales can measure distress symptoms (Henry & Crawford, 2005). The Cronbach alpha coefficients for DASS-21 subscales, were 0.94 (for depression subscale), 0.87 (for anxiety subscale), and 0.91 (for stress subscale) (Antony et al., 1998). Similarly, in the Persian version of DASS-21, a 3-factor structure, reliability, and validity of the DASS-21 were supported by the data, which suggests the DASS-21-Persian version has satisfactory psychometric properties in a non-clinical population (Asghari, Saed, & Dibajnia, 2008).
Statistical analysis
To test the reliability, corrected item-total correlations and Cronbach α were used to examine the internal consistency of the Persian version of CAQ-8. According to Kline (2013), the Cronbach alpha values more than 0.60 and 0.70indicate an acceptable and good internal consistency, respectively.
To test the validity, the convergent and divergent validities were examined through the correlation test between the Persian version of the CAQ-8 and other measures of SF-36, AAQ-II, and DASS-21. The Pearson correlation coefficients were considered as strong (r=0.5 to r=1.0), moderate (r=0.3 to r=0.5) or weak (r=0.1 to r=0.3) (Cohen, Swerdlik, & Phillips, 1996).
The factor (dimensional) structure of CAQ-8 was assessed using both explanatory and confirmatory factor analysis. Confirmatory Factor Analysis (CFA) was utilized to investigate whether the factor structures in the Persian population matched the original two-factor models. CFA examines the matching between the present hypothesized factor structure and the covariance among the original scale’s items (Van Prooijen & Van Der Kloot, 2001; Watkins, 1989). Based on the theoretical foundation of CAQ, we utilize the oblimin rotation. The maximum likelihood estimation was utilized for analyses. Item loadings were considered satisfactory if they were 0.32 or above (Tabachnick & Fidell, 2013).
For analyzing the results from the CFA, the following goodness of fit indices were selected: the relative/normed Chi-Square statistic (x2/df) (acceptable fit <5), independence AIC (Akaike information criterion), the Comparative Fit Index (CFI) (good fit >0.90) (Knight, Virdin, Ocampo, & Roosa, 1994), the Root Mean Square Error Of Approximation (RMSEA), as a well-established fit statistic which can be considered one of the most informative, and also the Standardized Root Mean Square Residual (SRMS). The smaller values of RMSEA and SRMS indicate the better fit of the model (e.g. <0.05). Other fit indexes are the Goodness of Fit Index (GFI), Relative Fit Index (RFI), and Normed Fit Index (NFI) that ideally the values greater than 0.90 indicate an acceptable fit (Meyers, Gamst, & Guarino, 2016). IBM SPSS V. 24 (Spss, 2016), and LISREL 8.54 were utilized for psychometric analyses.
3. Results
Regarding reliability, the scores of the 8-item version of the CAQ showed good internal consistency based on the Cronbach α value, which was 0.77 for the Persian version of the CAQ-8 total scores. These values for positively phrased and negatively phrased subscales were 0.90 and 0.61, respectively. If item 5 is deleted, the Cronbach α exceeds 0.85 for total scores and 0.73 for negatively phrased subscale.
For investigating the construct validity, the correlations between the CAQ-8 and the other relevant instruments namely AAQ-II, DASS-21, SF-36, and their subscales were examined. There is a negative correlation between CAQ-8 total score and also all subscales of DASS-21. The relationships between CAQ-8 and two other instruments (AAQ-II and SF-36) were significantly positive (Table 1).
Regarding the item analysis, the item-test correlations were well over 0.50, except for item 5. It suggests that by removal of this item, the scale would be homogeneous. The observed mean for the total score of CAQ-8 was 31.08 (SD=8.46). The majority of items were positively correlated with each other, except for item 5 that had a negative correlation with other items (Table 2). Similarly, this item has a minimum of commonalities (Extraction solution=0.37) in factor loading.
Kaiser-Meyer-Olkin, a measure of sampling adequacy (0.80), demonstrated the acceptable inter-item correlations to conduct confirmatory factor analysis. As a general heuristic (Kaiser, 1970, 1974), a value of 0.70 or above is considered adequate. According to Bartlett’s test of sphericity (Approx. Chi-square=740.947; df=28; Sig.=0.000), the null hypothesis of a lack of sufficient correlation between variables was rejected. In other words, KMO and Bartlett’s values showed an adequate sample size for conducting confirmatory factor analysis (Meyers, Gamst, & Guarino, 2016).
In the principal component solution, initial communality values in all items were equal to 1, and extraction (final) values indicate that all variables were participating or contributing to the component solution. Minimum and maximum extraction belonged to item 5 (0.37), and item 2 (0.83).
As mentioned by Tabachnick and Fidell (2013), a robust solution should account for at least 50% of the variance. Confirmatory factor analysis revealed the 2 components with eigenvalues of 1 or above, which accounted for 66.48% of the variance. Oblimin rotation revealed a two-factor pattern. The first factor (four positively phrased items) explained 46.15% of the common item variance, and the second factor (negatively phrased items) explained 20.33% of the total variance. The correlation coefficient between these two factors was 0.38.
Four items (CAQ1, CAQ2, CAQ3, and CAQ4) had the highest factor loadings on factor 1, and three items (CAQ6, CAQ7, and CAQ8) had factor loadings on factor 2. One item (CAQ5) has a common factor loading on both factors. Table 3 shows descriptive information and item loadings from the confirmatory factor analysis. Item loadings for the Persian version of CAQ-8 were satisfactory (for factor 1 ranged from 0.89 to 0.75, and for factor 2 ranged from 0.46 to 0.72). The loading for item 5 (I find it difficult to carry on with an activity unless I experience that it is successful) was common on both factors 1 and 2. Thus, this item was deleted and excluded from the questionnaire.
Regarding the goodness of fit indexes, the results revealed the two-factor structure of CAQ (by deletion of item 5). This model represented a good fit for the empirical data in a non-clinical sample. Except for item 5 (standardized coefficient=0.18), all coefficients were significant. The goodness of fit indexes are presented in Table 4. For the two-factor model, all fit indexes indicated satisfactory results. 
Finally, the local adjustment of the model was acceptable, with SRWs between 0.86 (item 8) and 1.71 (item 1 and 2) and SMCs between 0.34 (item 2) and 1.62 (item 4). Beta coefficients of structural equation modeling of CAQ are demonstrated in Figure 1. 
4. Discussion
Committed action is a valuable behavior, that can give rise to a cherished life, in which the individuals live according to their underlying life values (Hayes, Luoma, Bond, Masuda, & Lillis, 2006; Hayes, Pistorello, & Levin, 2012). In other words, committed action is a persistent and flexible action that is guided by goals and values. Individuals with a higher degree of committed action can follow beneficial goals and give up unsuccessful activities McCracken, Chilcot, & Norton (2015).
Committed action should be assessed with a valid and reliable measure. Thus, McCracken (2013) developed the first measure of committed action, and subsequently, a shortened version was developed. Both the original and the shortened version demonstrated satisfactory psychometric properties (McCracken, 2013; McCracken, Chilcot, & Norton, 2015). McCracken and Colleagues argued that committed action can be successfully measured by CAQ-8, and this measure is significantly associated with various aspects of functioning and health McCracken, Chilcot, & Norton (2015).
The psychometric examination of the CAQ is an important step in the evaluation of the psychological flexibility model in the research and clinical context. As noted by Akerblom et al. (2016), recent studies about psychological flexibility model have concentrated on the variables such as openness and awareness components, and there are inadequate studies about other components such as activation, engagement, and motivation, which can be more fully addressed (McCracken, 2013). Further research is needed to fill out these less-studied fields, and clarify the role of different national contexts and cultures in the psychological assessment.
Furthermore, this study confirmed the previous studies (McCracken, Chilcot, & Norton, 2015; Trompetter et al., 2013) about the important relationship between committed action and other aspects of psychological flexibility. Similarly, there are negative associations between CAQ-8 and psychopathology (namely, depression and anxiety). The Persian version of the CAQ-8 had satisfactory psychometric properties in the Iranian sample. Moreover, this instrument revealed high levels of internal consistency and satisfactory validity.
The findings from the current study indicated satisfactory internal consistency, and concurrent validity of CAQ-8 that was consistent with the recent studies (Akerblom et al., 2016; Bailey et al., 2016; Trindade et al., 2018). It indicated that committed action has a significant correlation with several aspects of mental and physical health.
Regarding the construct validity, the correlation between the CAQ-8 and theoretically-related variables, including acceptance and action, depression, anxiety and stress, and health survey, was examined. Taken together, the Persian version of CAQ-8 demonstrated good construct validity.
It should be noted from the outset that, one item (item 5) had no adequate psychometric criteria for remaining in the Persian version of CAQ. Removal of this item from the questionnaire, dramatically increased the internal consistency, CFA, and also the goodness of fit indexes.
After the deletion of item 5, the internal consistency exceeded from 0.77 to 0.84according to Cronbach α, which made the Persian version of CAQ a reliable questionnaire. Similarly, in CFA of CAQ-8, we extracted two items, which explained 66.48% of the total variance. After the exclusion of item 5, this amount increased to 73.25%. 
While according to the confirmatory factor analysis and goodness of fit indexes, the two-factor model of CAQ-8 was confirmed in this study, we were unable to retain all items of the original measures. Furthermore, for reaching the goodness of fit model, we had to exclude one item (item 5) from the Persian version of CAQ.
These findings should be considered along with several study limitations. Concerning the cross-sectional nature of this study, the correlation between committed action and other instruments (AAQ-II, DASS-21, and SF-36) should not be considered causal. For causal interference, we require longitudinal designs exploring the relationship of committed action with health and mental functioning. Also, controlled longitudinal studies can clarify the role of committed action in treatment outcome (Akerblom et al., 2016). Moreover, this study restricted to university students, then the generalization of the findings to other populations requires further investigation in various samples. Future research should test additional psychometric properties such as sensitivity to change in interventions targeting committed action. Moreover, we used the Cronbach alpha for CAQ-8 reliability merely. We recommended investigating the test-retest reliability of this measure in future studies.
5. Conclusion
Because CAQ was mostly investigated in a medical context and pain-related studies, it is helpful to evaluate the psychometric properties and especially the divergent validity of the CAQ Persian version in a healthy and clinical sample simultaneously. Additionally, examining additional relevant psychometric properties such as other validity indicators can strengthen the body of literature and scientific support for CAQ-8 in various contexts and cultures.
Ethical Considerations
Compliance with ethical guidelines
All ethical principles were considered in this article. The participants were informed about the purpose of the research and its implementation stages; they were also assured about the confidentiality of their information; Moreover, They were allowed to leave the study whenever they wish, and if desired, the results of the research would be available to them.
Funding
The present paper was extracted from the PhD. thesis the first author, Department of Clinical Psychology, Faculty of psychology and Education, Kharazmi University, Tehran.
Authors' contributions
    All authors were equally contributed in preparing this article.
Conflict of interest
The authors declared no conflict of interest.


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Type of Study: Research | Subject: Psychometric
Received: 2019/10/20 | Accepted: 2020/02/14 | Published: 2020/04/1

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