Participants
The present study was part of a larger cross-sectional project investigating the etiological and maintaining mechanisms of perfectionism through structural equation modeling. Therefore, some parts of the method section are identical to previously published articles(11-13).Participants were recruited from the general population and clinics. The general population sample included 403 participants (204 women) in Tehran, Iran. They were selected via proportional quota sampling based on the last census data of Statistical Center of Iran (2011). Inclusion criteria were being between 18- and 50-yearsold, having completed high school in order to sure that they understand the content of the items accurately, and living in Tehran for at least 6 years. Nineteen participants had skipped more than 10% of the items. Therefore, the data of 384 subjects were analyzed. The mean age of the general population was 33.03 (SD= 9.38).
The clinical sample consisted of individuals who met the DSM 5 criteria for MDD (n=40, 65% women), OCD (n= 39, 61.5% women), SAD (n= 35, 74% women), or EDs (n= 38 women, 81.5% bulimia nervosa, 18.5% anorexia nervosa). The mean age of the four clinical groups were as follow: MDD = 29.87 (SD= 5.94); OCD = 31.25 (SD= 5.52); SAD = 28.37 (SD= 6.37); and EDs = 30.38 (SD= 5.55).
Measures
Clinical Perfectionism Questionnaire (CPQ)
The CPQ (14) assesses cognitive, emotional and behavioral components of clinical perfectionism over the past month by means of 10 items that are rated on a four-point Likert scale (from “not at all” to “all of the time”). Moloodi et al. (11) demonstrated the validity and reliability of the Persian version of the CPQ and reported that the CPQ captures two factors named Personal Standards (PS) and Evaluative Concern (EC).
Perfectionism Inventory (PI)
Hill et al. (15) developed a 59-item Perfectionism Inventory where participants respond on a 5-point scale from strongly disagree to strongly agree. Jamshidi et al. (16) reported satisfactory structural validity, convergent validity, and internal consistency for the Persian version of PI. We used Organization, Planfulness, and Striving for Excellence subscales of Perfectionism Inventory and Personal Standards subscale of Clinical Perfectionism Questionnaire (14) to measure Perfectionistic strivings. We utilized Concern over Mistakes, Need for Approval, and Rumination subscales of Perfectionism Inventory and Evaluative Concerns subscale of Clinical Perfectionism Questionnaire (14) to assess Perfectionistic Concerns.
Depression Anxiety Stress Scales-21 (DASS-21)
The DASS-21 is a self-report instrument consisted of three subscales that measure symptoms of depression, anxiety, and stress over the past week. Participants were asked to answer the items using a 0 (did not apply to me at all) to 3 (apply to me very much) scale. The Persian version of the DASS-21 has acceptable construct and convergent validity as well as internal consistency (17).
Young Parenting Inventory (YPI)
The YPIis a 72 itemquestionnaire which assesses developmental origins of early maladaptive schemas and perceived parenting. Participants were asked to rank their parent's behaviors separately using a 6 Likert scale (1= Completely untrue, to 6 = Describes him/her perfectly). Validity and reliability of the YPI has been stablished in Western population (18). To our knowledge, there is no study that investigate factor structure of the YPI in Iranian population. Thus, we explored factor structure of the YPI in the current samples. The result of exploratory factor analysis on data of both mothers and fathers revealed a five-factor solution including affectless parenting, perfectionistic/ punitive parenting, emotional deprivation parenting, permissive parenting, and overprotective parenting. These factors showed good internal consistency.
Young Schema Questionnaire-Short form (YSQ-short form)
This measure was developed by Young (19) in order to assess 18 early maladaptive schemas. The YSQ-short form has acceptable construct validity, internal consistency, reliability, and discriminative validity in Iranian population (20). In the present study, we used unconditional schema subscales (e.g. Disconnection/ Rejection, and Impaired Autonomy and Performance Domains).
Cognitive Behavioral Avoidance Scale (CBAS)
The CBAS was developed in order to assess behavioral and cognitive avoidance. This scale consists of 31 items and 4 subscales. The CBAS showed good validity and reliability in Western (21) and Iranian populations (13).
Behavioral Inhibition/ Behavioral Activation Scales (BIS/ BAS)
Carver and White (1994) developed the BIS/BAS 20-item scale that assesses reactiveness to aversive stimuli, reward responsiveness, drive, and fun seeking. The items are scored using a 4-Likert scale (1 = completely agree to 4 = completely disagree). It possesses good validity and reliability among Iranian and western population (22).
Young Compensation Inventory (YCI)
The YCI consists of 48 items that assess overcompensation coping style using a 6-Likert scale (23). Exploratory factor analysis of the current data revealed 6 factors including status seeking and control, rebellion, counter dependency, egocentrism, and intolerance of criticism, and emotional inhibition.
Procedure
The research procedure was approved by Ethical Review Board of University of Social welfare and Rehabilitation Sciences (94/801/T/ 26318) and all procedures of the research were done in accordance with the Declaration of Helsinki. All participants provided written consent. In order to gather data from general population sample, five social workers selected participants according to quota sampling matrix from visitors in health centers, parks, and/or cultural houses of Tehran.
For the clinical sample, psychiatrists or clinical psychologists referred the patients to the first author (R.M.) for an evaluation usingthe Structured Clinical Interview for DSM-IV (SCID).Those who met the inclusion criteria and agreed to participate in the study, were instructed about the questionnaires and requested to complete them in one week. As previously mentioned, some parts of the method section are identical to previously published articles(11-13).
Statistical analysis
We applied path analysis with maximum likelihood estimation using AMOS 23. To establish the fit of the model, we considered the χ2/df-ratio less than 3, as well as goodness-of-fit index (GFI), adjusted goodness-of-fit index (AGFI), incremental fit index (IFI), comparative fit index (CFI) with cut off≥.95 as acceptable (24). We Also considered the root mean square error of approximation (RMSEA), and standardized root mean square residual (SRMR) with values ≤ .08 indicating adequate fit (24).