MMPI code types and the fantasy prone personality

We administered the MMPI and the Inventory of Childhood Memories and Imagining (ICMI) to 1,200 college students. Application of diagnostic efficiency statistics for the ability of differing ICMI cutoff scores to identify college students producing a schizophrenia spectrum MMPI code type revealed that scores greater than or equal to 29 on the ICMI had good positive predictive power. Scores less than 29 on the ICMI had very good negative predictive power. ICMI scores were also used to form a group of fantasizers (n = 30) and a control group (n = 30). Fantasizers were much more likely to produce MMPI codes associated with a vulnerability to schizophrenia (70%) than were controls (3.33%). Although most controls(70%) produced non-elevated MMPI scores, 66.67% of the fantasizers produced three or more elevated clinical scales on the MMPI. The modal MMPI profile for the fantasizers was an 8-9 code, indicating that fantasizers appear at heightened risk for eccentric thinking and a Cluster A or B personality organization.     

Variants of the MMPI 2-7-8 Code Type: Schizotypal Correlates of High Point 2,7, or 8

Our study sought to evaluate whether examination of the high-point scale among subjects with a 2-74 parent configuration on the MMPI could assist in the identification of individuals with schizotypal features. Additionally, this study compared male 2-74 subjects to female 2-74 subjects to determine whether gender mediates endorsement of items associated with these features. Subjects (N = 106) who produced a 2-7-8 parent profile were subdivided according to high point (2, 7, or a), and the three subgroups were subsequently compared on other self-report measures associated with schizotypal attributes. Subgroup comparisons revealed that the High 8 and High 2 groups produced a pattern of responding consistent with schizotypal characteristics. In contrast, the at-risk status of the High 7 group appears doubtful. Comparisons based on gender generally revealed no differences among female and male 2-74 subjects.     

MMPI-2 profile code types and measurement error

We studied simulated MMPI-2 (Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989) code type stability and change expected with measurement error for 12 MMPI-2 well-defined mean code type profiles. Profile scores for the 2 scales defining the code type were systematically varied to represent target code type profiles at 9 different levels of T-score profile definition. We randomly generated samples of 50 simulated, estimated true score profiles at each level of profile definition for each code type around the estimated true scores for each scale at each level of profile definition. Two sets of simulated profiles were developed. The first simulation was based on the reported means, test-retest reliabilities, and the standard errors of measurement for the MMPI-2 normative group. The second simulation was based on the means, standard deviations, and estimated retest stability for a clinical group of psychiatric patients. We calculated frequencies and percentages of simulated profiles with the highest estimated true scores on the same 2 scales as the original code type profile. Percentages of simulated profiles with the same 2 highest scales as the original code type profiles increased from 27% to 37% for the 3-point level of definition, 37% to 49% for the 5-point definition, 46% to 61% for 7-point definition, 63% to 78% for 10-point definition, 78% to 89% for 13-point definition, 83% to 93% for 15-point definition, and greater than 90% for profile definition greater than 15 points.     

The empirical study of teenage work: A behavioral code for the assessment of adolescent job environments

Policy recommendations that adolescents supplement their experience in school with experience in the workplace have been made in the absence of objective data on the nature of most adolescents' activity on the job. This paper presents a coding system for chronicling a variety of microbehaviors in sequence, as they occur, in adolescent job environments. Three elements of each of approximately 100 behaviors performed by a targeted teenage worker are recorded by an on-site observer who enters appropriate code numbers into a portable event recorder: (1) the social context of the behavior; (2) the character of the behavior; and (3) the duration and concomitants of the behavior, when appropriate. Each of 97 working teenagers was observed continuously over a two hour period on the job. Interobserver agreement on the coding of worker behaviors and the social contexts in which they occurred averaged .86 and .97, respectively. In addition to its applicability in research on the effects of working on adolescent development, information obtained using the code can be helpful in the evaluation of youth employment programs, the vocational counseling of adolescents, and the validation of subjective worker reports of job attributes.     

A philosophical and empirical analysis of subjects' modes of inquiry in wason's 2-4-6 task

Investigations of hypothesis-testing behaviour typically conclude that subjects' methods are characterized by “confirmation bias.” However, these studies (a) relied exclusively upon Karl Popper's philosophy of science, (b) only described subjects' strategies via a falsificationist terminology, and (c) failed to determine subjects' precise intentions in the task situations. Alternative philosophies of science can be used to describe hitherto ignored aspects of rule discovery in Wason's (1960) 2-4-6 task as well as reinterpret findings from previous research. Using Wason's task, Experiment 1 adopted J. S. Mill's inductive methodology in order to assess better the extent of elimination in experimentation. While it was found that subjects did eliminate a large proportion of their hypotheses rather than merely confirm them, Mill's eliminative methods applied to this task failed to account for the entirety of subjects' behaviours. Experiment 2 examined subjects' methods in more depth by asking subjects during the task either to: (1) describe their procedures, (2) select from a list of methodology terms those that best characterized their methods, and (3) state on each learning trial their preferred hypotheses and their subjective assessments that those hypotheses were correct. Although subjects were generally unable to describe their methods of inquiry, they were able to typify them via the methodology terms as if their methods were tacitly held skills. Contrary to presumptions of previous research, analyses indicated that subjects were not testing particular hypotheses on every trial but were often examining possible instances of the rule “at random” or “different from ones examined” to that trial. It is also suggested that subjects' decisions to announce rules and their thematic lines of inquiry be given further consideration by researchers.     

Time-sharing SKED and OS/8: A new version

A new time-sharing SKED program has been developed to simultaneously conduct up to 12 behavioral experiments while the OS/8 operating system is used in the “background.” The new system provides improved control over the SKED program while allowing the experimenter to develop new programs or analyze data during the experimental session. A minimum of 16K of memory and an OS/8 device is required to use this system.     

Picture-word interference is a Stroop effect: A theoretical analysis and new empirical findings

The picture-word interference (PWI) paradigm and the Stroop color-word interference task are often assumed to reflect the same underlying processes. On the basis of a PRP study, Dell’Acqua et al. (Psychonomic Bulletin & Review, 14: 717-722, 2007) argued that this assumption is incorrect. In this article, we first discuss the definitions of Stroop- and picture-word interference. Next, we argue that both effects consist of at least four components that correspond to four characteristics of the distractor word: (1) response-set membership, (2) task relevance, (3) semantic relatedness, and (4) lexicality. On the basis of this theoretical analysis, we conclude that the typical Stroop effect and the typical PWI effect mainly differ in the relative contributions of these four components. Finally, the results of an interference task are reported in which only the nature of the target – color or picture – was manipulated and all other distractor task characteristics were kept constant. The results showed no difference between color and picture targets with respect to all behavioral measures examined. We conclude that the assumption that the same processes underlie verbal interference in color and picture naming is warranted.     

Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

Adaptive cruise control (ACC), a driver assistance system that controls longitudinal motion, has been introduced in consumer cars in 1995. A next milestone is highly automated driving (HAD), a system that automates both longitudinal and lateral motion. We investigated the effects of ACC and HAD on drivers’ workload and situation awareness through a meta-analysis and narrative review of simulator and on-road studies. Based on a total of 32 studies, the unweighted mean self-reported workload was 43.5% for manual driving, 38.6% for ACC driving, and 22.7% for HAD (0% = minimum, 100 = maximum on the NASA Task Load Index or Rating Scale Mental Effort). Based on 12 studies, the number of tasks completed on an in-vehicle display relative to manual driving (100%) was 112% for ACC and 261% for HAD. Drivers of a highly automated car, and to a lesser extent ACC drivers, are likely to pick up tasks that are unrelated to driving. Both ACC and HAD can result in improved situation awareness compared to manual driving if drivers are motivated or instructed to detect objects in the environment. However, if drivers are engaged in non-driving tasks, situation awareness deteriorates for ACC and HAD compared to manual driving. The results of this review are consistent with the hypothesis that, from a Human Factors perspective, HAD is markedly different from ACC driving, because the driver of a highly automated car has the possibility, for better or worse, to divert attention to secondary tasks, whereas an ACC driver still has to attend to the roadway.