Psychopathology has long been recognized as dysfunction of normal psychological systems (Cloninger, Reference Cloninger1987; Eysenck, Reference Eysenck1947). Indeed, examination of psychological disorders is one of the avenues through which the structure of normal personality was discovered (Gibby & Zickar, Reference Gibby and Zickar2008). Melson-Silimon, Harris, Shoenfelt, Miller, and Carter (Reference Melson-Silimon, Harris, Shoenfelt, Miller and Carter2019) describe a collision course between the objective of accurate personnel assessment and the need for organizations to provide access for persons with mental health disabilities. Their alarm is misplaced. Frameworks for distinguishing normal and clinical assessments are already well-established, and the need to use different instruments or scoring methods for workplace versus clinical assessment is not unique to the personality domain. In this commentary, we highlight the critical distinction between constructs and their normal versus clinical measurement (cf. Dilchert, Ones, & Krueger, Reference Dilchert, Ones and Krueger2014) and demonstrate that normal and clinical personality measures have distinct psychometric properties, even while measuring the same underlying personality constructs. We also show that Melson-Silimon et al.’s concerns about similarity of normal and clinical constructs and their measurement apply to a wide variety of psychological constructs that are routinely assessed in organizational applications. We end by urging caution in interpreting normal and clinical personality measures and offer evidence-based guidance for personality assessment practice.
Personality: Clinical constructs = normal constructs; clinical measures ≠ normal measures
Melson-Silimon et al. (Reference Melson-Silimon, Harris, Shoenfelt, Miller and Carter2019) cite recent work from clinical psychology showing that personality disorders reflect maladaptive extreme low (for Extraversion, Conscientiousness, Agreeableness, or Emotional Stability) or high (Openness) levels of the Big Five personality traits (Markon, Krueger, & Watson, Reference Markon, Krueger and Watson2005). They suggest that this research exposes organizations using normal measures of the Big Five personality traits or similar constructs to legal risks under the Americans with Disabilities Act (ADA), arguing that normal personality measures can be used to diagnose personality disorders. This suggestion reflects a confusion between the nature of psychopathology constructs and their assessment using psychopathology measures.
It may be the case that the personality psychopathology construct of “disinhibition” reflects extremely low levels of the normal trait “Conscientiousness,” but this does not imply that Conscientiousness scales from the NEO PI-R, the Hogan Personality Inventory, the IPIP Big Five Markers, or other normal Conscientiousness measures can by themselves diagnose personality disorders. Normal and clinical personality measures are not interchangeable, and a scale designed for one purpose cannot be readily used for the other. Normal personality measures capture variations in generally healthy, adaptive responses to the environment. In contrast, well-designed clinical scales capture extreme trait levels that reflect disordered, maladaptive responses. To assess these extreme responses, clinical items are much more severe than normal items. For example, an item measuring normal depression (a facet of low Emotional Stability) is “Sometimes I feel completely worthless” (Costa & McCrae, Reference Costa and McCrae1992), whereas an exemplar item from a clinical depression scale is “During the past month, how much were you distressed by thoughts of ending your life?” (Derogatis & Melisaratos, Reference Derogatis and Melisaratos1983). Because clinical items are so extreme, they will often show substantial floor effects when administered to individuals without a psychological disorder. Conversely, because their content is insufficiently severe, normal personality items cannot distinguish people with disorders from those without.
From an item response theory (IRT) perspective, normal and clinical personality scales may assess the same latent traits, but they provide statistical information (reliable measurement) at much different trait levels. Normal personality scales tend to provide information in the range of ±2 standard deviations from the general population mean. Well-designed clinical measures tend to provide information at much lower trait ranges, often being sensitive to individual differences −3 or −4 standard deviations below the mean or lower.Footnote
1
Scales designed to tap one trait range can provide little reliable information about a different trait range.
This point is illustrated in Figure 1 using data on two Emotional Stability measures—one normal (the Stress Reaction scale of the Multidimensional Personality Questionnaire [MPQ]; Tellegen, Reference Tellegen1990) and one clinical (the Depression items of the Brief Symptoms Inventory [BSI]; Derogatis & Melisaratos, Reference Derogatis and Melisaratos1983). The MPQ is a normal-range personality inventory widely used for research purposes and some workplace applications. The BSI is a short measure of psychological distress used in practice as a screening tool to identify potential problem areas for more focused diagnostic assessment. We estimated IRT item parameters for the two scales using responses from 1,046 MTurk workers (511 for the MPQ, 525 for the BSI) and 225 patients receiving treatment for substance use disorder.Footnote
2
We estimated IRT parameters separately for each scale, retaining one relatively nonsevere item from the BSIFootnote
3
in both item sets to use as an anchor to equate the scales for both measures. We then combined the item sets and estimated IRT information provided by each scale at different latent trait levels.
Figure 1.IRT information plot for normal (MPQ Stress Reaction, solid blue line) and clinical (BSI Depression, dashed red line) Emotional Stability scales. Normal scale, MPQ Stress Reaction, provides maximum information at θ = +0.53 and information > 2.0 from −0.89 to +2.03. Clinical scale, BSI Depression, provides maximum information at θ = −1.31 and information > 2.0 from −3.16 to +1.00.
Figure 1 shows that the MPQ scale provides the most reliable assessment in a range from θ = −0.89 to +2.03, whereas the clinical BSI scale provided reliable assessment from θ = −3.16 to +1.00. Thus, the MPQ can discriminate in trait ranges reflecting high emotional stability to modestly high (but still normal-range) neuroticism. In contrast, the BSI scale can reliably discriminate healthy individuals from those with moderately severe clinical levels of depression. It is clear that the normal-range MPQ Stress Reaction scale provides no reliable information at clinically relevant levels of depression. It is not a clinical scale, it cannot be used to diagnose psychological or mental disabilities, and it therefore is not a medical assessment.
Unity of clinical and normal constructs is not unique to personality inventories
Normal personality traits and personality disorders are increasingly recognized as reflecting the same underlying trait dimensions (Dilchert et al., Reference Dilchert, Ones and Krueger2014; Markon et al., Reference Markon, Krueger and Watson2005). However, this is not unique to the personality domain. Most, if not all, constructs measured by personnel assessments capture the same underlying dimensions as clinical or medical instruments. Cognitive ability tests are widely used to predict employee training and job performance, but they are also used to detect a variety of clinical conditions, such as general learning disability, specific learning disabilities, ADHD, concussion, and cognitive decline (Kongs, Thompson, Iverson, & Heaton, Reference Kongs, Thompson, Iverson and Heaton2000; McGrew, LaForte, & Schrank, Reference McGrew, LaForte and Schrank2014; McLean et al., Reference McLean, Dowson, Toone, Young, Bazanis, Robbins and Sahakian2004; Mickes et al., Reference Mickes, Wixted, Fennema-Notestine, Galasko, Bondi, Thal and Salmon2007; Schatz, Pardini, Lovell, Collins, & Podell, Reference Schatz, Pardini, Lovell, Collins and Podell2006). There is no question that these measures assess the same general and specific abilities. Normal and clinical cognitive assessments are distinguished not by the abilities they capture but by the difficulty of the items and the norms used to interpret scores (McGrew et al., Reference McGrew, LaForte and Schrank2014). Similarly, employment interviews, assessment center exercises, and situational judgment tests are routinely used to assess, among other constructs, interpersonal skills (Barrick, Shaffer, & DeGrassi, Reference Barrick, Shaffer and DeGrassi2009; Viswesvaran & Ones, Reference Viswesvaran, Ones, Ones, Anderson, Viswesvaran and Sinangil2018). Similar methods are also used to inform clinical decision making for psychological disorders such as autism spectrum disorder, schizophrenia, and borderline personality disorder (Edwards, Jackson, & Pattison, Reference Edwards, Jackson and Pattison2002; First, Williams, Karg, & Spitzer, Reference First, Williams, Karg and Spitzer2016; Levine, Marziali & Hood, Reference Levine, Marziali and Hood1997; Lord et al., Reference Lord, Risi, Lambrecht, Cook, Leventhal, DiLavore and Rutter2000). Interviews, integrity tests, biodata measures, and credit and background checks frequently capture information about past counterproductive work behaviors, nonwork deviant behaviors, and illegal drug use. Similar behaviors are also commonly used to diagnose antisocial personality disorder and other externalizing psychopathology (Krueger et al., Reference Krueger, Hicks, Patrick, Carlson, Iacono and McGue2002), all of which can be understood as extreme expressions of the same underlying disinhibited behavioral tendencies (Stanek, Ones, & McGue, Reference Stanek, Ones and McGue2017). Even physical ability tests, such as measures of postural control, static strength, and speed, are used both in personnel selection (e.g., for military, protective services, and sports selection; Hoffman, Reference Hoffman1999; Kuzmits & Adams, Reference Kuzmits and Adams2008) and for diagnosis of work disability, aging, and other medical conditions (Berg, Wood-Dauphine, Williams, & Gayton, Reference Berg, Wood-Dauphine, Williams and Gayton2009; El Fassi et al., Reference El Fassi, Bocquet, Majery, Lair, Couffignal and Mairiaux2013). Virtually any method for evaluating individual characteristics could be used for either clinical/medical assessment to diagnose disorders or to compare individual differences in normal functioning for personnel applications.
The key factor that distinguishes normal and medical assessments is not the similarity of the underlying constructs but rather the extremity of the individual responses that they can detect and the norms used to evaluate them. If, following the reasoning offered by Melson-Silimon et al. (Reference Melson-Silimon, Harris, Shoenfelt, Miller and Carter2019), most normal range personality measures cannot be used for personnel assessment because they assess the same constructs as clinical diagnostic personality scales, this would preclude virtually all individual assessment of any construct on the same grounds.
Implications of construct unity for personality assessment practice
Melson-Silimon et al. (Reference Melson-Silimon, Harris, Shoenfelt, Miller and Carter2019) conclude with a set of drastic recommendations that would serve to discard virtually all existing industrial and organizational (I-O) personality assessment research and practice. The most alarmist recommendation is that organizations should “[a]void personality tests that assess constructs closely related to PDs and PID-5 dimensions, including ‘off-the-shelf’ tests developed with the ADA in mind, tests known to assess PDs, ‘dark side’ traits, and normal personality traits that are highly correlated with PDs” (p. 128). This list encompasses all personality measures used in workplace assessment. The Big Five traits occupy the center of the personality trait hierarchy (John, Naumann, & Soto, Reference John, Naumann, Soto, John, Robins and Pervin2008; Stanek & Ones, Reference Stanek, Ones, Ones, Anderson, Viswesvaran and Sinangil2018). All personality measures, even those developed from other theoretical perspectives (Pace & Brannick, Reference Pace and Brannick2010), will show substantial correlations with Big Five measures and, because they are defined as clinical extremes of the Big Five, likely with measures of the DSM-5 personality disorder dimensions as well.
But superficial content similarity to or even substantial correlations with clinical instruments are not the standards that make a measure of personality (or any other construct) a medical diagnostic tool based on EEOC (2000) guidance. Normal personality scales typically used in employee selection and screening do not have enough sensitivity at extreme trait levels to indicate a medical diagnosis. That is, they are not designed to nor can they reliably diagnose or reveal mental disorders. If a personality scale provides no statistical information at clinically relevant trait ranges and does not have norms that indicate how scores can be used to diagnose mental disorders, then it is not a medical examination.
Organizations wishing to measure personality variables as part of their pre-employment selection and assessment systems can prevent identification of psychopathology and psychological disorders by exercising caution and heeding the following evidence-based advice:
1. Ensure personality scales used are supported by a job analysis (Raymark, Schmit, & Guion, Reference Raymark, Schmit and Guion1997), as well as validity evidence.
2. Do not use measures designed to assess psychological disorders or mental health (e.g., the MMPI, the BSI, the PID-5) in pre-offer personnel assessments.
3. Do not use extreme items drawn from clinical instruments designed to assess psychological disorders as part of personnel assessment scales.
4. Interpret scores using occupational norms developed for the specific assessment purpose (e.g., selection, development), not clinical norms or diagnostic cut scores.
Developing bespoke personality instruments, avoiding the Big Five constructs, or disregarding personality traits altogether is neither necessary nor likely to be a productive path for reliable, valid, and unbiased assessment of employee motivational characteristics.
Conclusion
Normal and clinical personality scales are distinguished in terms of where on the trait distribution they provide reliable information, and they cannot be substituted for one another. This distinction parallels long understood distinctions between ability measures, interviews, and other assessments that can also be designed to capture normal, exceptional, or dysfunctional functioning depending on the design purpose and test properties. Normal personality scales by themselves can provide little useful information for the diagnosis of clinical disorders and cannot be considered medical instruments.
Psychopathology has long been recognized as dysfunction of normal psychological systems (Cloninger, Reference Cloninger1987; Eysenck, Reference Eysenck1947). Indeed, examination of psychological disorders is one of the avenues through which the structure of normal personality was discovered (Gibby & Zickar, Reference Gibby and Zickar2008). Melson-Silimon, Harris, Shoenfelt, Miller, and Carter (Reference Melson-Silimon, Harris, Shoenfelt, Miller and Carter2019) describe a collision course between the objective of accurate personnel assessment and the need for organizations to provide access for persons with mental health disabilities. Their alarm is misplaced. Frameworks for distinguishing normal and clinical assessments are already well-established, and the need to use different instruments or scoring methods for workplace versus clinical assessment is not unique to the personality domain. In this commentary, we highlight the critical distinction between constructs and their normal versus clinical measurement (cf. Dilchert, Ones, & Krueger, Reference Dilchert, Ones and Krueger2014) and demonstrate that normal and clinical personality measures have distinct psychometric properties, even while measuring the same underlying personality constructs. We also show that Melson-Silimon et al.’s concerns about similarity of normal and clinical constructs and their measurement apply to a wide variety of psychological constructs that are routinely assessed in organizational applications. We end by urging caution in interpreting normal and clinical personality measures and offer evidence-based guidance for personality assessment practice.
Personality: Clinical constructs = normal constructs; clinical measures ≠ normal measures
Melson-Silimon et al. (Reference Melson-Silimon, Harris, Shoenfelt, Miller and Carter2019) cite recent work from clinical psychology showing that personality disorders reflect maladaptive extreme low (for Extraversion, Conscientiousness, Agreeableness, or Emotional Stability) or high (Openness) levels of the Big Five personality traits (Markon, Krueger, & Watson, Reference Markon, Krueger and Watson2005). They suggest that this research exposes organizations using normal measures of the Big Five personality traits or similar constructs to legal risks under the Americans with Disabilities Act (ADA), arguing that normal personality measures can be used to diagnose personality disorders. This suggestion reflects a confusion between the nature of psychopathology constructs and their assessment using psychopathology measures.
It may be the case that the personality psychopathology construct of “disinhibition” reflects extremely low levels of the normal trait “Conscientiousness,” but this does not imply that Conscientiousness scales from the NEO PI-R, the Hogan Personality Inventory, the IPIP Big Five Markers, or other normal Conscientiousness measures can by themselves diagnose personality disorders. Normal and clinical personality measures are not interchangeable, and a scale designed for one purpose cannot be readily used for the other. Normal personality measures capture variations in generally healthy, adaptive responses to the environment. In contrast, well-designed clinical scales capture extreme trait levels that reflect disordered, maladaptive responses. To assess these extreme responses, clinical items are much more severe than normal items. For example, an item measuring normal depression (a facet of low Emotional Stability) is “Sometimes I feel completely worthless” (Costa & McCrae, Reference Costa and McCrae1992), whereas an exemplar item from a clinical depression scale is “During the past month, how much were you distressed by thoughts of ending your life?” (Derogatis & Melisaratos, Reference Derogatis and Melisaratos1983). Because clinical items are so extreme, they will often show substantial floor effects when administered to individuals without a psychological disorder. Conversely, because their content is insufficiently severe, normal personality items cannot distinguish people with disorders from those without.
From an item response theory (IRT) perspective, normal and clinical personality scales may assess the same latent traits, but they provide statistical information (reliable measurement) at much different trait levels. Normal personality scales tend to provide information in the range of ±2 standard deviations from the general population mean. Well-designed clinical measures tend to provide information at much lower trait ranges, often being sensitive to individual differences −3 or −4 standard deviations below the mean or lower.Footnote 1 Scales designed to tap one trait range can provide little reliable information about a different trait range.
This point is illustrated in Figure 1 using data on two Emotional Stability measures—one normal (the Stress Reaction scale of the Multidimensional Personality Questionnaire [MPQ]; Tellegen, Reference Tellegen1990) and one clinical (the Depression items of the Brief Symptoms Inventory [BSI]; Derogatis & Melisaratos, Reference Derogatis and Melisaratos1983). The MPQ is a normal-range personality inventory widely used for research purposes and some workplace applications. The BSI is a short measure of psychological distress used in practice as a screening tool to identify potential problem areas for more focused diagnostic assessment. We estimated IRT item parameters for the two scales using responses from 1,046 MTurk workers (511 for the MPQ, 525 for the BSI) and 225 patients receiving treatment for substance use disorder.Footnote 2 We estimated IRT parameters separately for each scale, retaining one relatively nonsevere item from the BSIFootnote 3 in both item sets to use as an anchor to equate the scales for both measures. We then combined the item sets and estimated IRT information provided by each scale at different latent trait levels.
IRT information plot for normal (MPQ Stress Reaction, solid blue line) and clinical (BSI Depression, dashed red line) Emotional Stability scales. Normal scale, MPQ Stress Reaction, provides maximum information at θ = +0.53 and information > 2.0 from −0.89 to +2.03. Clinical scale, BSI Depression, provides maximum information at θ = −1.31 and information > 2.0 from −3.16 to +1.00.
Figure 1 shows that the MPQ scale provides the most reliable assessment in a range from θ = −0.89 to +2.03, whereas the clinical BSI scale provided reliable assessment from θ = −3.16 to +1.00. Thus, the MPQ can discriminate in trait ranges reflecting high emotional stability to modestly high (but still normal-range) neuroticism. In contrast, the BSI scale can reliably discriminate healthy individuals from those with moderately severe clinical levels of depression. It is clear that the normal-range MPQ Stress Reaction scale provides no reliable information at clinically relevant levels of depression. It is not a clinical scale, it cannot be used to diagnose psychological or mental disabilities, and it therefore is not a medical assessment.
Unity of clinical and normal constructs is not unique to personality inventories
Normal personality traits and personality disorders are increasingly recognized as reflecting the same underlying trait dimensions (Dilchert et al., Reference Dilchert, Ones and Krueger2014; Markon et al., Reference Markon, Krueger and Watson2005). However, this is not unique to the personality domain. Most, if not all, constructs measured by personnel assessments capture the same underlying dimensions as clinical or medical instruments. Cognitive ability tests are widely used to predict employee training and job performance, but they are also used to detect a variety of clinical conditions, such as general learning disability, specific learning disabilities, ADHD, concussion, and cognitive decline (Kongs, Thompson, Iverson, & Heaton, Reference Kongs, Thompson, Iverson and Heaton2000; McGrew, LaForte, & Schrank, Reference McGrew, LaForte and Schrank2014; McLean et al., Reference McLean, Dowson, Toone, Young, Bazanis, Robbins and Sahakian2004; Mickes et al., Reference Mickes, Wixted, Fennema-Notestine, Galasko, Bondi, Thal and Salmon2007; Schatz, Pardini, Lovell, Collins, & Podell, Reference Schatz, Pardini, Lovell, Collins and Podell2006). There is no question that these measures assess the same general and specific abilities. Normal and clinical cognitive assessments are distinguished not by the abilities they capture but by the difficulty of the items and the norms used to interpret scores (McGrew et al., Reference McGrew, LaForte and Schrank2014). Similarly, employment interviews, assessment center exercises, and situational judgment tests are routinely used to assess, among other constructs, interpersonal skills (Barrick, Shaffer, & DeGrassi, Reference Barrick, Shaffer and DeGrassi2009; Viswesvaran & Ones, Reference Viswesvaran, Ones, Ones, Anderson, Viswesvaran and Sinangil2018). Similar methods are also used to inform clinical decision making for psychological disorders such as autism spectrum disorder, schizophrenia, and borderline personality disorder (Edwards, Jackson, & Pattison, Reference Edwards, Jackson and Pattison2002; First, Williams, Karg, & Spitzer, Reference First, Williams, Karg and Spitzer2016; Levine, Marziali & Hood, Reference Levine, Marziali and Hood1997; Lord et al., Reference Lord, Risi, Lambrecht, Cook, Leventhal, DiLavore and Rutter2000). Interviews, integrity tests, biodata measures, and credit and background checks frequently capture information about past counterproductive work behaviors, nonwork deviant behaviors, and illegal drug use. Similar behaviors are also commonly used to diagnose antisocial personality disorder and other externalizing psychopathology (Krueger et al., Reference Krueger, Hicks, Patrick, Carlson, Iacono and McGue2002), all of which can be understood as extreme expressions of the same underlying disinhibited behavioral tendencies (Stanek, Ones, & McGue, Reference Stanek, Ones and McGue2017). Even physical ability tests, such as measures of postural control, static strength, and speed, are used both in personnel selection (e.g., for military, protective services, and sports selection; Hoffman, Reference Hoffman1999; Kuzmits & Adams, Reference Kuzmits and Adams2008) and for diagnosis of work disability, aging, and other medical conditions (Berg, Wood-Dauphine, Williams, & Gayton, Reference Berg, Wood-Dauphine, Williams and Gayton2009; El Fassi et al., Reference El Fassi, Bocquet, Majery, Lair, Couffignal and Mairiaux2013). Virtually any method for evaluating individual characteristics could be used for either clinical/medical assessment to diagnose disorders or to compare individual differences in normal functioning for personnel applications.
The key factor that distinguishes normal and medical assessments is not the similarity of the underlying constructs but rather the extremity of the individual responses that they can detect and the norms used to evaluate them. If, following the reasoning offered by Melson-Silimon et al. (Reference Melson-Silimon, Harris, Shoenfelt, Miller and Carter2019), most normal range personality measures cannot be used for personnel assessment because they assess the same constructs as clinical diagnostic personality scales, this would preclude virtually all individual assessment of any construct on the same grounds.
Implications of construct unity for personality assessment practice
Melson-Silimon et al. (Reference Melson-Silimon, Harris, Shoenfelt, Miller and Carter2019) conclude with a set of drastic recommendations that would serve to discard virtually all existing industrial and organizational (I-O) personality assessment research and practice. The most alarmist recommendation is that organizations should “[a]void personality tests that assess constructs closely related to PDs and PID-5 dimensions, including ‘off-the-shelf’ tests developed with the ADA in mind, tests known to assess PDs, ‘dark side’ traits, and normal personality traits that are highly correlated with PDs” (p. 128). This list encompasses all personality measures used in workplace assessment. The Big Five traits occupy the center of the personality trait hierarchy (John, Naumann, & Soto, Reference John, Naumann, Soto, John, Robins and Pervin2008; Stanek & Ones, Reference Stanek, Ones, Ones, Anderson, Viswesvaran and Sinangil2018). All personality measures, even those developed from other theoretical perspectives (Pace & Brannick, Reference Pace and Brannick2010), will show substantial correlations with Big Five measures and, because they are defined as clinical extremes of the Big Five, likely with measures of the DSM-5 personality disorder dimensions as well.
But superficial content similarity to or even substantial correlations with clinical instruments are not the standards that make a measure of personality (or any other construct) a medical diagnostic tool based on EEOC (2000) guidance. Normal personality scales typically used in employee selection and screening do not have enough sensitivity at extreme trait levels to indicate a medical diagnosis. That is, they are not designed to nor can they reliably diagnose or reveal mental disorders. If a personality scale provides no statistical information at clinically relevant trait ranges and does not have norms that indicate how scores can be used to diagnose mental disorders, then it is not a medical examination.
Organizations wishing to measure personality variables as part of their pre-employment selection and assessment systems can prevent identification of psychopathology and psychological disorders by exercising caution and heeding the following evidence-based advice:
1. Ensure personality scales used are supported by a job analysis (Raymark, Schmit, & Guion, Reference Raymark, Schmit and Guion1997), as well as validity evidence.
2. Do not use measures designed to assess psychological disorders or mental health (e.g., the MMPI, the BSI, the PID-5) in pre-offer personnel assessments.
3. Do not use extreme items drawn from clinical instruments designed to assess psychological disorders as part of personnel assessment scales.
4. Interpret scores using occupational norms developed for the specific assessment purpose (e.g., selection, development), not clinical norms or diagnostic cut scores.
Developing bespoke personality instruments, avoiding the Big Five constructs, or disregarding personality traits altogether is neither necessary nor likely to be a productive path for reliable, valid, and unbiased assessment of employee motivational characteristics.
Conclusion
Normal and clinical personality scales are distinguished in terms of where on the trait distribution they provide reliable information, and they cannot be substituted for one another. This distinction parallels long understood distinctions between ability measures, interviews, and other assessments that can also be designed to capture normal, exceptional, or dysfunctional functioning depending on the design purpose and test properties. Normal personality scales by themselves can provide little useful information for the diagnosis of clinical disorders and cannot be considered medical instruments.
Author ORCIDs
Brenton M. Wiernik, 0000-0001-9560-6336