Factor invariance of the Millon Clinical Multiaxial Inventory

Several factor analyses of the Millon Clinical Multiaxial Inventory (MCMI) have resulted in very similar solutions. Interpretation of this consistency is hampered by the fact that the 20 scales of the inventory share items. Overlapping items cause the scales to be linearly dependent and may create structure in the interscale correlation matrix which is separate from the subject response patterns. A factor analysis was performed on the matrix of item-overlap coefficients which describes the underlying artifactual structure of the instrument. Data from two new subject samples were factor analyzed and compared to previously published studies. Similarity coefficients among factors across studies were calculated.     

Factor structure of the Treatment Evaluation Inventory: Implications for measurement of treatment acceptability

The Treatment Evaluation Inventory (TEI), a frequently used measure of treatment acceptability, was used by 164 undergraduates to rate the acceptability of each of the following treatments: differential reinforcement of other behavior, exclusionary time-out, overcorrection, medical restraint, contingent electric shock, and physical restraint. TEI ratings of each treatment type were grouped separately, variance-covariance matrices were formed and compared, and data were subjected to factor analysis. The results indicated that the factor structure of the TEI varied with the treatment it was used to evaluate. Item analysis of the TEI indicated a high degree of internal consistency, although item-total correlations varied between rated treatments. The findings suggest that although the TEI is a reliable instrument, sensitive assessment of the treatment acceptability construct probably requires multidimensional measurement.     

Millon Clinical Multiaxial Inventory (MCMI) computer-generated diagnoses: How do they compare to clinician judgment?

During the past several decades, computers have achieved increasing prominence in psychological assessment procedures. This is particularly true for computer-based test interpretation and diagnosis. This study reports on a study designed to compare the accuracy of computer-based diagnoses with clinician-generated diagnoses. The Millon Clinical Multiaxial Inventory (MCMI) was administered to 151 consecutively admitted inpatients at a large private psychiatric hospital. The computer-generated diagnoses were compared with those generated by admitting psychiatrists. The results indicated that the MCMI diagnostic impressions underestimated the severity of depressive disorders when compared with clinician diagnoses on Axis I. Specifically, clinicians diagnosed major depression much more frequently than did the MCMI. In addition, clinicians diagnosed anxiety disorders much less frequently than did the MCMI.     

Resilience characterized and quantified from physical activity data: A tutorial in R

Consistent physical activity is key for health and well-being, but it is vulnerable to stressors. The process of recovering from such stressors and bouncing back to the previous state of physical activity can be referred to as resilience. Quantifying resilience is fundamental to assess and manage the impact of stressors on consistent physical activity. In this tutorial, we present a method to quantify the resilience process from physical activity data. We leverage the prior operationalization of resilience, as used in various psychological domains, as area under the curve and expand it to suit the characteristics of physical activity time series. As use case to illustrate the methodology, we quantified resilience in step count time series (length = 366 observations) for eight participants following the first COVID-19 lockdown as a stressor. Steps were assessed daily using wrist-worn devices. The methodology is implemented in R and all coding details are included. For each person’s time series, we fitted multiple growth models and identified the best one using the Root Mean Squared Error (RMSE). Then, we used the predicted values from the selected model to identify the point in time when the participant recovered from the stressor and quantified the resulting area under the curve as a measure of resilience for step count. Further resilience features were extracted to capture the different aspects of the process. By developing a methodological guide with a step-by-step implementation, we aimed at fostering increased awareness about the concept of resilience for physical activity and facilitate the implementation of related research.     

The detection of malingering in neuropsychological assessment

Although malingering, or the manipulation of data by the patient, is a problem commonly faced by neuropsychologists, there has been little systematic investigation of this problem. This paper reviews the literature on the detection of malingering in assessment instruments commonly used by clinical neuropsychologists. Criticism of previous research is discussed, and suggestions are made both for future research and for clinical practice.     

Personality disorder correspondence between the million behavioral health inventory (MBHI) and the minnesota multiphasic personality inventory (MMPI)

The MBHI and MMPI personality disorder scales were analyzed for convergent and discriminant validity. Correlational data demonstrated that six of the eight scales were significantly related, while the remaining two scales approached significance. Further analyses of these data, however, demonstrated that none of the scales correlated significantly better with its convergent scale compared to nonconvergent scales. The MBHI classified significantly more of the sample as personality disordered (93%) compared to the MMPI personality disorder scales (17%). Furthermore, the MBHI tended to describe the sample as falling within the Anxious cluster of personality disorders, whereas the MMPI described them within the Dramatic cluster. Single scale codetype correspondence was found to be 15%, while two-point concordance was 12.5%, indicating very low congruence between personality style codetypes. These two measures do not appear to be measuring the same personality style constructs.     

Rationally developed fake-good and fake-bad scales for the Jesness Inventory

Develops two validity scales for the Jesness Inventory using a rational approach: a fake-good scale, Lie (L); and a fake-bad scale, Overt Symptomatology (OS). Effectiveness was assessed using 293 male delinquents classified as fake-good, fake-bad, or honest based on a matched-pair MMPI-A. L was moderately effective in detecting the fake-good set, and OS tentatively effective in detecting the fake-bad set. Both correlated well with their MMPI-A counterparts. Sensitivity, specificity, positive predictive power, negative predictive power, and overall effectiveness data were reported. The L scale and OS scale were related to race but differences were less than 1 raw score point. L was unrelated to age. OS was related to age, with younger children showing more willingness to admit to symptomatology. Age-based modified T-score norms were developed for the newly constructed scales using 1142 male and 360 female delinquents. ages 13–18.     

An investigation of the validity of the SPSI and SPSI-R in differentiating high-suicidal from depressed,low-suicidal college students

The present study examined the validity of the Social Problem-Solving Inventory (SPSI) and SPSI—Revised in differentiating 65 high-suicidal from 63 depressed, low-suicidal college students. Results from multivariate analyses indicated overall differences in problem-solving between these two groups as measured by the SPSI but not by the SPSI-R. Further examination of these differences revealed the high-suicidal group was different in problem-solving orientation, rather than problem-solving skills, compared to the depressed, low-suicidal group. However, when depression was statistically controlled in hierarchical regression analyses, none of the problem-solving measures predicted group membership. The superiority of the SPSI to the SPSI-R in differentiating these two groups appears to be accounted for by the elimination of 28 items in the revised version, many of which measure orientation to problem-solving. Also explored was the possibility that objective measures of problem-solving provide a better prediction of adjustment than do self-report measures.     

Factor structure of the basic personality inventory with incarcerated offenders

The item and scale factor structure of the Basic Personality Inventory (BPI) was examined in a sample of 486 offenders incarcerated for violent and sexual crimes. Separate principal-component analyses of the items for each of the 11 clinical scales, critical item scale, and social desirability scale indicated a one-dimensional factor solution for all scales except Depression and Persecutory Ideation. The Depression scale's two factors were Hopelessness and Depressive Affect and the Persecutory Ideation scale's two factors were General Paranoia and Perception of External Control. Although the factors for these two scales may assist in interpretation, the correlations between the factors and the total score of their respective scale were high. Confirmatory factor analysis of the 220 items from the 11 clinical scales supported the factorial logic of the scoring key. Analysis of the 11 clinical scales resulted in two factors: General Psychopathology/Adjustment and Antisocial Orientation. The results suggest that all but two scales can be viewed as unidimensional thereby allowing for a straightforward clinical interpretation. These analyses support the internal structure of the BPI and lend credence to external validity work with forensic populations.     

Diagnosing posttraumatic stress disorder with the MMPI clinical scales: A review of the literature

A review of the literature resulted in 21 published studies that reported mean MMPI profile patterns for PTSD patients. Of these, six (29%) reported that the mean 8-2 profile pattern significantly differentiated PTSD patients from non-PTSD patients. The majority of studies found additional PTSD profile patterns reflecting nearly all of the MMPI clinical scales. The data indicate some common group profile patterns for inpatient veterans, prisoner's of war, and inpatient veteran substance abusers. The results also support the hypothesis that there is a continuum from inpatient to outpatient and veteran to civilian populations that corresponds with both symptom and stressor severity. It is concluded that although there is some typicality in similar populations, clinicians should expect heterogeneous MMPI profiles from PTSD patients representing a diversity of clinical symptoms and styles.