Schema theory is a theoretical framework developed by Jeffrey Young (Young, 1994). Central in this theory is the concept of Early Maladaptive Schemas (EMS). These EMS are considered to develop from negative childhood experiences into maladaptive core beliefs which are self-perpetuating and therefore (without appropriate treatment) rather resistant to change. As such EMS are maintaining factors for chronic psychopathology and more specific personality psychopathology.
In Young’s schema theory, the EMS are categorized into five higher-order schema domains representing unmet emotional needs in childhood: disconnection, impaired autonomy, impaired limits, other directedness and disinhibition (see Table 1). To assess these EMS, Young developed the Young Schema Questionnaire (YSQL2; Young, 1994), initially comprising 205 items and 16 EMS scales.
|Schema domains||Schema scales|
|Disconnection and Rejection||Emotional Deprivation (ED), Mistrust/Abuse (MA), Abandonment (AB), Social Isolation (SI), and Defectiveness/Shame (DS)|
|Impaired Autonomy and Performance||Social Undesirability (SU), Failure to Achieve (FA), Dependence/Incompetence (DI), Enmeshment (EM), Vulnerability to Harm and Illness (VH)|
|Impaired Limits||Entitlement/Grandiosity (ET) and Insufficient Self-Control/Self-Discipline (IS)|
|Other Directedness||Subjugation (SB) and Self-Sacrifice (SS)|
|Over-Vigilance and Inhibition||Emotional Inhibition (EI) and Unrelenting Standards (US)|
In 1998, Young and Brown constructed a shorter inventory by which 15 instead of the original 16 schemas were assessed, the YSQ-Short Form (YSQ-SF). By developing the YSQ-SF, Young (1998) shortened his original questionnaire (YSQL2) by reducing the number of items per schema to five items and by eliminating all items of the Social Undesirability schema. This short version was constructed partially based on an exploratory factor analysis performed on the long form (YSQL2) by Schmidt and colleagues (1995) and those results were in a later stage replicated by Lee and colleagues (1999). In these studies, only 15 out of the 16 scales emerged from the exploratory factor analyses. For each of the 15 schemas, the five highest loading items of each scale were selected in order to create the YSQ-SF.
Hoffart and colleagues (2005) confirmed the 15 factor structure by means of confirmatory factor analyses (CFA) in a mixed community and clinical sample of 1037 participants. Also other authors (e.g., Calvete et al., 2005; Lodoño et al., 2012) confirmed this 15 factor structure in large student samples (N = 407 and N = 1392 respectively) by means of CFA. However, studies in which the 16 factor structure of the YSQ was investigated are scarce and were only performed on the long version of the YSQ (Rijkeboer & Van den Bergh, 2005; Pauwels et al., 2013). To our knowledge, only Hoffart and colleagues (2005) investigated the 15 factor structure and the 16 factor model of the YSQ-SF (in which all of the 9 items of the Social Undesirability scale were included), both in a clinical and non-clinical sample (N = 1037). CFA results favoured the 15 factor structure of the YSQ-SF. However, adding 9 items to measure Social Undesirability (the 16th EMS) may lead to an overrepresentation of the 16th schema, as all other schemas were assessed by only 5 items. As far as we know, no one has created a 5-item shorter version of the Social Undesirability scale.
Additionally, several authors have investigated the reliability or internal consistency coefficients of all YSQ-SF scales and reported Cronbach’s alpha coefficients from good to very good (e.g., Baranoff et al., 2006; Cui et al., 2011; Oei & Baranoff, 2007; Welburn et al., 2002).
Concerning gender differences, Lodoño et al. (2012) found higher scores for men on all YSQ-SF scales except for Abandonment and Enmeshment (N = 1392; 39% males), whereas Lachenal-Chevallet et al. (2006) reported higher scores for men on Entitlement, Insufficient Self-Control, Emotional Deprivation and Mistrust compared to women in community samples (N = 263; 31% males). Concerning age differences, Nordahl, Holthe and Haugum (2005) reported that YSQL2 scale scores were positively associated with increasing age in outpatients. Similarly, Pauwels and colleagues (2013) showed that age was positively related to Emotional Deprivation and negatively related to Enmeshment in clinical inpatients. Additionally, when comparing younger, middle aged and older adults, Pauwels et al. (2014) found that younger adults tend to report higher scores on Insufficient Self-Control compared to middle and older adults; whereas older adults tend to have lower scores on Enmeshment compared to middle/younger adults.
The Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association (APA), 2013) offers an alternative, dimensional model of Personality Disorders in which personality disorders are described by several maladaptive personality traits. Dimensional personality trait models state that combinations of adaptive and maladaptive personality traits underlie personality disorders (Widiger et al. 2009). Focusing on convergent validity of the YSQ, many studies investigated the association between YSQ scales and maladaptive personality traits/disorders in both non-clinical and clinical samples (e.g., Bach et al., 2016; Pauwels et al., 2013), while only a limited number of studies have investigated the link between the EMS scores and adaptive personality traits like the Big Five personality traits, one of the most known dimensional personality trait models (McCrae & Costa, 2003). When comparing the few studies investigating the relationship between the Big Five personality traits and the EMS scores within community samples, results showed positive associations between Neuroticism and most EMS. Extraversion was positively associated with Unrelenting Standards and negatively with all other EMS. Openness was positively related to Vulnerability to Harm and Unrelenting Standards; whereas Agreeableness were positively associated with Self-Sacrifice and Unrelenting Standards and negatively with Emotional Deprivation, Mistrust, Social Isolation and Emotional Inhibition. Finally, Conscientiousness was positively associated with Unrelenting Standards (Bahrami Ehsan & Bahramizadey, 2011; Bahramizadeh & Bahrami Ehsan, 2011; Muris, 2006, Sava, 2009; see Table 2 for a detailed overview).
|Muris (2006)||N = 173 students
Mean age = 13
|CORRELATIONS (corrected for gender/age)
YSQ-A (adolescent version)
Big Five Questionnaire for Children
|Neuroticism = ↑ all EMS
Extraversion = ↑US
Openness = ↑ VH and ↑ US
Agreeableness = ↑ SS and ↑ US
Conscientiousness = ↑ US
|Sava (2009)||N = 154 students
Median age = 21
YSQ-L2 (long version)
DECAS Personality Inventory
|I: ↓ Agreeableness and ↑ Neuroticism = ↑ all Schema domains
II: ↑Neuroticism = ↑ Impaired Autonomy and ↑ Other Directedness
|Bahrami Ehsan and Bahramizadeh (2011)||N = 200 students
Mean age = 24.62
YSQ-SF (short version)
NEO-FFI (Big Five inventory)
|Agreeableness = ↓ ED, MA, SI and EI|
|Bahramizadeh and Bahrami Ehsan (2011)||N = 200 students
Mean age = 24.62
NEO-FFI (Big Five inventory)
|Neuroticism = ↑ all EMS
Extraversion = ↓ all EMS, except for ET and SS
|Thimm (2010)||N = 147 outpatients
Mean age = 39.2
|Neuroticism = ↑ most EMS (not SS and ET)
Neuroticism = ↑ most EMS (not SS, ET, ED, EM, EI)
Extraversion = ↓ ED, MA, SI, FA, DS, SB, EI
Openness = ↓ FA and EI
Agreeableness = ↑ SS and ↓ MA, ET and IS
Conscientiousness = ↓ DI and IS
Conscientiousness = ↑ US and ↓ IS
In sum, existing research investigating EMS differences in personality traits, was mostly based on the YSQ-SF with 15 factors. From a clinical point of view, it would be interesting to investigate the additional value of the 16th EMS in a shorter version of the questionnaire given the proven additional value of this 16th factor in the longer version of the YSQ (Pauwels et al., 2013; Rijkeboer & van den Bergh, 2006) in understanding for example eating disorders and cluster C psychopathology. Therefore, the first aim of the present study was to replicate the existing 15 factor structure of the YSQ-SF in a community sample. The second aim was to shorten the 16th factor ‘Social Undesirability’ into 5 items, in line with the other EMS. The third aim was to investigate the psychometric properties of the expanded YSQ-SF16 (the original YSQ-SF15 + additional schema), by investigating the reliability of the YSQ-SF16 scales, age and gender differences as well as the associations of the YSQ-SF16 with the Big Five personality traits.
Six hundred seventy two participants were included in this study. The sample consisted of 328 males (48.4%; Mage = 43.81; SDage = 16.44) and 344 females (51.2%; Mage = 44.85; SDage = 16.05) with no significant age differences. Almost 18% (17.6%) of the sample had a master’s degree, 16.7% a bachelor degree and 65.8% did not have higher education qualification. Participants were sampled by students, who were asked to select participants according to a predetermined set of variables (e.g., a male between 25–30 years old with a higher level of education), in order to gain course credits. This set of variables was based on the age, gender and education distribution of the Flemish population between 18 and 75 years of age. All participants of the study gave a written informed consent before participating in the study and all participants were given an access code to fill out a secured web-based survey. The ethical committee of the KU Leuven (SMEC) approved the study.
The Young Schema Questionnaire-Long Form was used to assess the EMS (YSQL2; Young & Brown, 1994; Dutch version: Young & Pijnaker, 1999) and consists of 205 items, which are divided over 16 subscales corresponding with the 16 EMS scales. From this long – 205 items – version, the 75 items of the YSQ-SF15 (Young & Brown, 1998) and the 9 items of the Social Undesirability schema were selected. Table 1 shows a summary of the 16 EMS and their corresponding schema domains. The items are rated on a 6-point Likert scale ranging from 1 “Completely untrue for me” to 6 “Describes me perfectly.” The Dutch version shows good psychometric properties comparable to existing research (e.g., Lee et al., 1999; Schmidt et al., 1995; Pauwels et al., 2013).
To assess the Big Five personality traits, the Big Five Inventory (BFI-25, John & Srivastava, 1999, shortened by Boele, Sijtsema, Klimstra, Denissen & Meeus, 2017) was used. The BFI-25 consists of 25 items and measures the Big Five personality dimensions: Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness. Items are answered on a 5-point Likert scale ranging from 1 indicating ‘strongly disagree’ to 5 ‘strongly agree’. The Dutch version shows good psychometric properties comparable to the English version of John and Srivastava (1999). In our sample Cronbach alpha values range from .65 (Agreeableness) to .81 (Extraversion) indicating moderate to good levels.
Adaptation of the YSQ-short form 16 (YSQ-SF16). The short version of the YSQ was obtained by selecting the 75 items of the internationally validated YSQ-SF15 (Young & Brown, 1998). This short form consists of 75 items divided across 15 EMS, i.e., all EMS of the YSQL2 except for Social Undesirability (SU). In order to create a similar scale for the SU EMS, the 5 highest loading items based on a factor analysis on all 9 SU items of the YSQL2 were selected.
Factor structure of the YSQSF15 and YSQSF16. Confirmatory factor analyses (CFA) was used to investigate the latent structure of the YSQ-SF15 and YSQ-SF16. CFA-model parameters were estimated by a Weighted Least Squares Means and Variances Adjusted estimation method (WLSMV option, MPLUS 7.4, Muthen & Muthen, 2015), as the response scale is categorical. Multiple fit statistics were used to gauge the model fit (Hu & Bentler, 1998, 1999), with a Root-Mean squared error of approximation (RMSEA) close to or below .06 and a comparative fit index (CFI) close to or higher than .95 indicating a good fit (RMSEA < .09, CFI > .90 for acceptable fit). In a first step, the 15-factor model was fitted (YSQ-SF15). Second, it was investigated whether the addition of a 16th EMS (i.e., SU) influenced the fit of our model (YSQ-SF16).
Internal Consistency of the YSQ-SF15/16. Cronbach alpha coefficients were calculated for the 15/16 scales of the YSQ-SF15/16. Alpha coefficients above .70 are considered to be adequate, alpha values of .80 and more are considered to be good to very good (Nunnally & Bernstein, 1994).
Gender and age differences for the YSQ-SF15/16 scales were analyzed. To investigate gender differences a MANOVA with gender as a fixed factor and the sum of the YSQ scales as dependent variables were used. To assess effect size, partial eta squared was used, with a value of .01 indicating a small effect, .06 a medium effect and .13 a large effect. The associations between age and the YSQ-SF15/16 scales were studied by means of the Pearson correlation coefficients. A Bonferroni correction was applied to control the family wise error rate (.05/16 = .003). Effect sizes were based on the percentage of common variance explained: >10% common variance for practical importance (correlation > .224); 20%–30% for medium effect (correlation between .447–.548) and strong effect > 50% (correlation > .707) (Cohen, 1992).
Associations between the YSQ-SF16 scales and BFI-25 scales were calculated by means of multiple stepwise linear regression analyses using SPSS 24. The 5 BFI-25 sum scores were entered as dependent variables in five different regression analyses. Gender and age were entered in the first block as control variables and the 16 YSQ-SF16 sum scores were entered stepwise in the second block as predictors. R² change of the YSQ-SF16 schema scales was examined to look for the unique predictors of the 5 BFI-25 scales). A Bonferroni correction was applied to control the family wise error rate (p < .05/5 = .01).
Adaptation of the EMS scale Social Undesirability (SU) of the YSQ-SF16. Factor analysis indicated that item 70 (I’m not sexually attractive.), item 73 (I can’t carry on a decent conversation.), item 74 (I’m dull and boring in social situations.), item 76 (I never know what to say socially.) and item 77 (People don’t want to include me in their groups.) showed the highest factor loadings on the SU scale. The YSQ-SF16 therefore consists of 80 items: i.e., the 75 items of the YSQ-SF15 in combination with the items 70, 73, 74, 76 and 77 (SU scale).
Construct validity of the YSQ-SF15/16. Based on the fit criteria, a 15 factor model (YSQ-SF15) fits our data well: Chi² = 5147.163; df = 2595; RMSEA = .038; CFI = .954. The model with the additional SU factor (YSQ-SF16) also obtained a good fit to the data: Chi² = 5733.482; df = 2960; RMSEA = .037; CFI = .954. In Table 3, loadings of the items on their schemas are presented for the final 16 factor model. Except for item 167, all loadings exceed .40. Factor correlations are shown in Table 4 and varied from .11 to .85.
Internal Consistency of the YSQ-SF15/16. Cronbach alpha values were calculated for the 16 scales of the YSQ-SF15/16. Alpha values ranged from .76 (Unrelenting Standards) to .92 (Defectiveness/Shame and Failure to Achieve) indicating adequate to good internal consistency of the 15 YSQ-SF15 scales. The newly created SU scale showed an internal consistency of .88 (Table 5).
|Total Sample M (SD)||α||Females M (SD)||Males M (SD)||F (16,655)||Effect size partial η2||Range|
|Disconnection and Rejection|
|Emotional Deprivation||9.90 (5.38)||.88||9.76 (5.66)||10.04 (5.07)||0.001||[5, 30]|
|Abandonment||9.91 (4.91)||.85||10.24 (5.21)||9.57 (4.56)||0.005||[5, 30]|
|Mistrust/Abuse||10.03 (4.80)||.87||9.79 (4.88)||10.29 (4.72)||0.003||[5, 30]|
|Social Isolation||8.86 (4.76)||.89||8.44 (4.67)||9.30 (4.82)||0.008||[5, 30]|
|Defectiveness/Shame||7.06 (3.6)||.92||6.94 (3.82)||7.18 (3.38)||0.001||[5, 30]|
|Impaired Autonomy and Performance|
|Social Undesirability||8.55 (4.39)||.88||8.48 (4.56)||8.62 (4.21)||0.000||[5, 30]|
|Failure to Achieve||9.28 (4.96)||.92||9.45 (5.09)||9.10 (4.83)||0.001||[5, 30]|
|Dependence/Incompetence||7.61 (3.59)||.85||7.53 (3.83)||7.70 (3.31)||0.001||[5, 30]|
|Vulnerability to Harm||8.76 (4.10)||.81||8.92 (4.24)||8.59 (3.94)||0.002||[5, 26]|
|Enmeshment||7.25 (3.44)||.84||7.32 (3.56)||7.17 (3.30)||0.000||[5, 30]|
|Entitlement/Grandiosity*||10.66 (4.40)||.81||9.83 (3.92)||11.54 (4.70)||26.06***||0.037||[5, 28]|
|Insufficient Self-Control/Self-Discipline||10.76 (4.63)||.83||10.31 (4.34)||11.24 (4.88)||0.010||[5, 28]|
|Subjugation||9.05 (4.57)||.89||9.26 (4.91)||8.82 (4.19)||0.002||[5, 30]|
|Self-Sacrifice*||15.26 (5.14)||.81||16.28 (5.25)||14.20 (4.81)||28.45***||0.041||[5, 30]|
|Over-Vigilance and Inhibition|
|Emotional Inhibition||10.41 (4.79)||.82||9.96 (4.65)||10.88 (4.89)||0.009||[5, 30]|
|Unrelenting Standards||14.62 (4.97)||.76||14.46 (5.16)||14.79 (4.77)||0.001||[5, 30]|
For gender differences, the results of the MANOVA with gender as independent variable and the YSQ-SF16 scales as dependent variables, showed significant differences for two scales (Wilks λ = .87, F(16, 655) = 5.96, p < .003; partial η² = .13) (Table 5). Women scored significantly higher on Self-Sacrifice, whereas men scored significantly higher on Entitlement, although effect sizes were small (<.06). For age, significant correlations between age and the YSQ scales were found for three schema scales. Age was significantly negatively correlated with Enmeshment (r = –0.16, p < .003) and Insufficient Self-Control (r = –.19, p < .003) and positively with Self-Sacrifice (r = .13, p < .003) although none of the effect sizes reached the level of practical relevance (<.22). Given the significant differences in EMS scores for gender and age, it will be important to control for gender and age differences when investigating the associations between the EMS scales and Big Five personality traits.
Five multiple regression analyses were conducted to see which EMS scales were significantly related to the Big Five personality dimensions after controlling for age and gender. Results in Table 6 show that Neuroticism was significantly positive related to high scores on Abandonment, Emotional Inhibition, Vulnerability to Harm and Insufficient Self-Control and negatively related to Entitlement. Extraversion was significantly negatively related with Social Undesirability and Emotional Inhibition, but positively related with Defectiveness/Shame and Unrelenting Standards. Openness was significantly negative related to Social Undesirability and positive with Unrelenting Standards and Social Isolation. Agreeableness was positively related with Self-Sacrifice, Unrelenting Standards and Subjugation and negatively related with Defectiveness/Shame, Emotional Inhibition, Entitlement and Mistrust. Finally, Conscientiousness was significantly negative related with Insufficient Self-Control, Failure to Achieve and Subjugation; whereas it was positively related with Unrelenting Standards and Emotional Inhibition.
Vulnerability to Harm
R² = .28
R² = .30
R² = .14
R² = .31
Failure to Achieve
R² = .43
In the present study, we were able to replicate the 15 as well as the 16 (including the SU schema) factor structure of the YSQ-SF in a Flemish community sample. The replication of the factor structure of the YSQ-SF15 reached good congruence coefficients (between .93 and .99) as compared with the YSQ-SF15 of Welburn and colleagues (2002). All EMS scales reached adequate reliability or internal consistency coefficients ranging from good to very good, comparable to previous studies (Oei & Baranoff, 2007).
Concerning gender differences, our results indicated that women scored significantly higher on Self-Sacrifice, whereas men reached significantly higher scores on Entitlement with small effect sizes (<.06). However, these results seem to indicate that women tend to be more focused on the needs of significant others; whereas men tend to be more focused on achieving their own goals and tend to feel more entitled to special rights as compared to women. The gender differences in our study were less pronounced as compared to the gender findings in other community samples (e.g., Lachenal-Chevallet et al. 2006; Lodoño et al., 2012). This difference can be due to the fact that the latter studies were performed in students samples with a smaller age range (Mage = 22.6; SDage = 5 and Mage = 28; SDage = 14) as compared to the current study. Gender differences in EMS in clinical samples on the other hand, seem to be less pronounced. This can be due to the fact that gender differences in clinical samples can also be influenced by gender differences in the prevalence of psychopathology (Pauwels, et al., 2013). With respect to age, we found that Enmeshment and Insufficient Self-Control decrease with increasing age, with small effect sizes (<.22). Similar findings for Enmeshment and Insufficient Self-Control were also found by Pauwels and colleagues (2014) in a clinical sample. Low scores on Enmeshment imply a certain amount of emotional stability and several studies indicate an improvement of emotional stability with increasing age (e.g., Carstensen et al., 2003). High scores on Insufficient Self-Control are often accompanied with more impulsivity and several studies indicate a decrease in impulsivity with increasing age (e.g., Segal, et al., 2006). Furthermore, the current study shows that Self-Sacrifice increases with age, which can be due to the changing importance of social relationships above the need to accomplish personal goals at older age. This change from intra- to interpersonal values is described within the socio-emotional selectivity theory of Carstensen et al. (1999).
With respect to convergent validity, the associations between the maladaptive EMS and the adaptive Big Five personality traits revealed more fine grained results compared to previous studies (e.g. Bahramizadeh & Bahrami Ehsan, 2011; Muris, 2006). Neuroticism, for example, was positively associated with several EMS, being: Abandonment, Emotional Inhibition, Vulnerability to harm and Insufficient Self-Control. These EMSs are also related to the Borderline Personality Disorder and the Avoidant Personality disorder (Pauwels et al., 2013; Samuel & Widiger, 2008). Extraversion was only negatively related with Social Undesirability and Emotional Inhibition, which are both positively related to Introversion (and thus negatively to Extraversion); the positive associations with Defectiveness/Shame and Unrelenting Standards are less clear. Additionally, Openness was negatively related to Social Undesirability, indicating low levels of self-esteem and positively with Unrelenting Standards or being eager to learn (McCrae & Costa, 2003), which was in line with the findings of Muris (2006). Agreeableness was positively related to Self-Sacrifice and Subjugation and negatively with Defectiveness/Shame, Mistrust and Entitlement which was in line with findings of other authors (Bahrami Ehsan, & Bahramizadeh, 2011; Muris (2006); Thimm, 2010). Agreeable people prefer social engagement above personal accomplishment and have a positive attitude toward the significant others. This pattern of results is also similar to people with dependent personality features (McCrae & Costa, 2003). Finally, Conscientiousness was negatively related to Insufficient Self-Control, thus indicating that conscientious people are self-disciplined and in line with the high scores on Unrelenting Standards (perfectionism) and low scores on Failure to Achieve (Stoeber, Otto, & Dalbert, 2009), and with features of the obsessive-compulsive PD, confirming the findings of Muris (2006) and Thimm (2010). Concerning the Social Undesirability schema, this schema seems to be of particular relevance for clinical samples (e.g. for Cluster C psychopathology in Pauwels et al., 2013), but also adds to the understanding of adaptive personality (e.g. high scores on Social Undesirability are associated with low scores on Openness and Extraversion). The different associations between EMS and both adaptive and maladaptive traits, may add to the dimensional trait models underlying personality disorders (Widiger et al., 2009).
Besides the strengths of the study, some limitations need further discussion. First, the factor structure of the YSQ-SF16 was established in a community sample. However in order to achieve good validity of the questionnaire, it can be important to consider measurement invariance of the questionnaire for age and gender. Future research should replicate this 16 factor structure in clinical sample as well. Second, the study was solely based on self-report questionnaires whereas sometimes EMS may be unconscious. Future studies should also include indirect measures of EMSs (Young & Brown, 2003). Third, caution to generalizing the results of the relationship between EMS and the Big Five personality traits is warranted for two reasons. First, results could be biased because BFI-25 scores were not corrected for acquiescence (Rammstedt & Farmer, 2013) and second, only few studies have investigated the relationship between adaptive Big Five personality traits and EMS. Nevertheless different alternative personality models of the DSM-5 state that combinations of both adaptive and maladaptive personality traits underlie personality disorders (Widiger et al. 2009).
In sum our study indicates that we were able to validate the factor structures and establish the psychometric features of the YSQ-SF15 as the YSQ-SF16 among a Flemish community sample. Gender and age differences, in our study, were less pronounced compared to findings of other studies and should be replicated in the future. Additionally, age and gender differences in community samples, seem to be less pronounced compared to gender and age differences in clinical samples, probably due to specific features of psychopathology. Furthermore, the Social Undesirability schema has a unique additional value in predicting low scores on Extraversion and Openness, which could favor the choice for the use of the YSQ-SF16 above the YSQ-SF15. Future studies in clinical samples, need to be performed to see whether these shorter YSQ-SF15/16 versions can be validated and applied in clinical samples, given their more user-friendly format.
The authors have no competing interests to declare.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders, (5th ed.). Washington, DC: Author. DOI: https://doi.org/10.1176/appi.books.9780890425596
Bach, B., Lee, C., Mortensen, E. L., & Simonsen, E. (2016). How do DSM-5 personality traits align with schema therapy constructs?. Journal of Personality Disorders, 30, 502–529. DOI: https://doi.org/10.1521/pedi_2015_29_212
Bahrami Ehsan, H., & Bahramizadeh, H. (2011). Early Maladaptive Schemas and Agreeableness in Personality Five Factor Model. Procedia-Social and Behavioral Sciences, 30, 547–551. DOI: https://doi.org/10.1016/j.sbspro.2011.10.107
Bahramizadeh, H., & Bahrami Ehsan, H. (2011). The Evaluation of Prediction Potential Neuroticism and Extraversion According to Early Maladaptive Schemas. Procedia-Social and Behavioral Sciences, 30, 524–529. DOI: https://doi.org/10.1016/j.sbspro.2011.10.102
Baranoff, J., Oei, T. P., Cho, S. H., & Kwon, S. M. (2006). Factor structure and internal consistency of the Young Schema Questionnaire (Short Form) in Korean and Australian samples. Journal of Affective Disorders, 93(1), 133–140. DOI: https://doi.org/10.1016/j.jad.2006.03.003
Boele, S., Sijtsema, J. J., Klimstra, T. A., Denissen, J. J. A., & Meeus, W. H. J. (2017). Person-Group Dissimilarity in Personality and Peer Victimization. European Journal of Personality, 31, 220–233. DOI: https://doi.org/10.1002/per.2105
Calvete, E., Estévez, A., López de Arroyabe, E., & Ruiz, P. (2005). The Schema Questionnaire-Short Form. European Journal of Psychological Assessment, 21, 90–99. DOI: https://doi.org/10.1027/1015-57184.108.40.206
Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54, 165. DOI: https://doi.org/10.1037/0003-066X.54.3.165
Carstensen, L. L., Fung, H. H., & Charles, S. T. (2003). Socioemotional selectivity theory and the regulation of emotion in the second half of life. Motivation and Emotion, 27, 103–123. DOI: https://doi.org/10.1023/A:1024569803230
Cohen, J. (1992). A power primer. Psychological Bulletin. 112, 155–159. PMID 19565683. DOI: https://doi.org/10.1037/0033-2909.112.1.155
Cui, L., Lin, W., & Oei, T. P. (2011). Factor structure and psychometric properties of the Young Schema Questionnaire (Short Form) in Chinese undergraduate students. International Journal of Mental Health and Addiction, 9, 645–655. DOI: https://doi.org/10.1007/s11469-010-9283-4
Hoffart, A., Sexton, H., Hedley, L. M., Wang, C. E., Holthe, H., Haugum, J. A., Nordahl, A. M., Hovland, O. J., & Holte, A. (2005). The structure of maladaptive schemas: A confirmatory factor analysis and a psychometric evaluation of factor-derived scales. Cognitive Therapy and Research, 29, 627–644. DOI: https://doi.org/10.1007/s10608-005-9630-0
Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424–453. DOI: https://doi.org/10.1037/1082-989X.3.4.424
Hu, L., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. DOI: https://doi.org/10.1080/10705519909540118
John, O. P., & Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In Pervin, L. A., & John, O. P. (Eds.), Handbook of personality: Theory and Research, (2nd ed.). New York: Guilford Press, pp. 102–138.
Lachenal-Chevallet, K., Mauchand, P., Cottraux, J., Bouvard, M., & Martin, R. (2006). Factor analysis of the schema questionnaire-short form in a nonclinical sample. Journal of Cognitive Psychotherapy, 20, 311–318. DOI: https://doi.org/10.1891/jcop.20.3.311
Lee, C. W., Taylor, G., & Dunn, J. (1999). Factor structure of the schema questionnaire in a large clinical sample. Cognitive Therapy and Research, 23, 441–451. DOI: https://doi.org/10.1023/A:1018712202933
Londoño, N. H., Schnitter, M., Marín, C., Calvete, E., Ferrer, A., Maestre, K., …, & Castrillón, D. (2012). Young Schema Questionnaire-Short Form: validación en Colombia. Universitas Psychologica, 11, 147–164.
McCrae, R. R., & Costa, P. T. (2003). Personality in adulthood: A five-factor theory perspective. Guilford Press. DOI: https://doi.org/10.4324/9780203428412
Muris, P. (2006). Maladaptive schemas in non-clinical adolescents: Relations to perceived parental rearing behaviours, big five personality factors and psychopathological symptoms. Clinical Psychology & Psychotherapy, 13, 405–413. DOI: https://doi.org/10.1002/cpp.506
Nordahl, H. M., Holthe, H., & Haugum, J. A. (2005). Early maladaptive schemas in patients with or without personality disorders: Does schema modification predict symptomatic relief?. Clinical Psychology & Psychotherapy, 12, 142–149. DOI: https://doi.org/10.1002/cpp.430
Oei, T. P., & Baranoff, J. (2007). Young Schema Questionnaire: Review of psychometric and measurement issues. Australian Journal of Psychology, 59, 78–86. DOI: https://doi.org/10.1080/00049530601148397
Pauwels, E., Claes, L., Dierckx, E., Debast, I., Van Alphen, S. B., Rossi, G., …, & Peuskens, H. (2014). Age neutrality of the Young Schema Questionnaire in patients with a substance use disorder. International Psychogeriatrics, 26, 1317–1326. DOI: https://doi.org/10.1017/S1041610214000519
Pauwels, E., Claes, L., Smits, D., Dierckx, E., Muehlenkamp, J. J., Peuskens, H., & Vandereycken, W. (2013). Validation and reliability of the Young Schema Questionnaire in a Flemish inpatient eating disorder and alcohol and substance use disorder sample. Cognitive Therapy and Research, 37, 647–656. DOI: https://doi.org/10.1007/s10608-012-9501-4
Rammstedt, B., & Farmer, R. F. (2013). The impact of acquiescence on the evaluation of personality structure. Psychological Assessment, 25(4), 1137–1145. DOI: https://doi.org/10.1037/a0033323
Rijkeboer, M. M., & van den Bergh, H. (2006). Multiple Group Confirmatory Factor Analysis of the Young Schema-Questionnaire in a Dutch Clinical versus Non-clinical Population. Cognitive Therapy and Research, 30, 263–278. DOI: https://doi.org/10.1007/s10608-006-9051-8
Samuel, D. B., & Widiger, T. A. (2008). A meta-analytic review of the relationships between the five-factor model and DSM-IV-TR personality disorders: A facet level analysis. Clinical Psychology Review, 28, 1326–1342. DOI: https://doi.org/10.1016/j.cpr.2008.07.002
Schmidt, N. B., Joiner Jr., T. E., Young, J. E., & Telch, M. J. (1995). The schema questionnaire: Investigation of psychometric properties and the hierarchical structure of a measure of maladaptive schemas. Cognitive Therapy and Research, 19, 295–321. DOI: https://doi.org/10.1007/BF02230402
Stoeber, J., Otto, K., & Dalbert, C. (2009). Perfectionism and the Big Five: Conscientiousness predicts longitudinal increases in self-oriented perfectionism. Personality and Individual Differences, 47, 363–368. DOI: https://doi.org/10.1016/j.paid.2009.04.004
Thimm, J. C. (2010). Personality and early maladaptive schemas: A five-factor model perspective. Journal of behavior therapy and experimental psychiatry, 41, 373–380. DOI: https://doi.org/10.1016/j.jbtep.2010.03.009
Welburn, K., Coristine, M., Dagg, P., Pontefract, A., & Jordan, S. (2002). The Schema Questionnaire—Short Form: Factor analysis and relationship between schemas and symptoms. Cognitive Therapy and Research, 26, 519–530. DOI: https://doi.org/10.1023/A:1016231902020
Widiger, T. A., & Mullins-Sweatt, S. N. (2009). Five-factor model of personality disorder: A proposal for DSM-V. Annual Review of Clinical Psychology, 5, 197–220. DOI: https://doi.org/10.1146/annurev.clinpsy.032408.153542
Young, J. E., & Brown, G. (1994). Young schema questionnaire. In: Young, J. E. (Ed.), Cognitive therapy for personality disorders: A schema-focused approach, (2nd Ed.). Sarasota: Professional Resource Press/Professional Resource Exchange, pp. 63–76.
Young, J. E., & Brown, G. (1998). The Young Schema Questionnaire: Short Form. Available at: http://www.schematherapy.com.
Young, J. Y., & Pijnaker, J. N. (1999). Cognitieve therapie persoonlijkheidsstoornissen: Een schemagerichte benadering. Houten, Netherlands: Bohn Stafleu Van Loghum. DOI: https://doi.org/10.1007/978-90-313-9251-3