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Biomedical subjects

M P Norris

Publications and source records attributed to M P Norris.

7 recordsLinked to original sources

Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients.

This study evaluated the psychometric characteristics of the Beck Depression Inventory-II (BDI-II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996) in a primary care medical setting. A principal-components analysis with Promax rotation indicated the presence of 2 correlated factors, Somatic-Affective and Cognitive, which explained 53.5% of the variance. A hierarchical, second-order analysis indicated that all items tap into a second-order construct of depression. Evidence for convergent validity was provided by predicted relationships with subscales from the Short-Form General Health Survey (SF-20; A. L. Stewart, R. D. Hayes, & J. E. Ware, 1988). A receiver operating characteristic analysis demonstrated criterion-related validity: BDI-II scores predicted a diagnosis of major depressive disorder (MDD), as determined by the Primary Care Evaluation of Mental Disorders (PRIME-MD) Patient Health Questionnaire (PHQ). This study demonstrated that the BDI-II yields reliable, internally consistent, and valid scores in a primary care medical setting, suggesting that use of the BDI-II in this setting may improve detection and treatment of depression in these medical patients.

Adolescent↗

Comparing student and patient simulated malingerers' performance on standard neuropsychological measures to detect feigned cognitive deficits.

Despite the proliferation of studies investigating methods for detecting malingering, important questions that remain unanswered. Specifically, many studies use students to simulate malingering; however, it is unclear whether this is an appropriate analog group. In addition, many studies have focused on the development of cognitive measures designed to detect malingering, rather than pursuing whether current neuropsychological measures are effective. Results of the present investigation suggest that student malingerers are significantly more difficult to detect than non-neurological patients instructed to malinger. The findings also provide further support for the recent evidence that standard neuropsychological measures are useful in detecting malingering.

Adult↗

Screening for malingering in a correctional setting.

This study outlines the development of the Screening SIRS, an abbreviated version of the Structured Interview of Reported Symptoms (SIRS), for use as a screening measure of malingering in a correctional setting. Seventy-five inmates complaining of psychological impairment were tested for malingering. A subset of the participants was given both the original SIRS and the Screening SIRS as a separate test with the test order counterbalanced; the remainder were given the original SIRS and a derived classification was determined by extracting the Screening SIRS scale scores. Using Receiver Operating Characteristic analyses, classification based on the Screening SIRS was significantly better than chance. With a sensitivity of 87% and specificity of 73%, the Screening SIRS was highly predictive of classifications based on the original SIRS. These findings have instrumental implications in correctional settings where identification of possible malingerers through a screening procedure may facilitate optimal allocation of resources.

Adolescent↗

Detecting the malingering of cognitive deficits: an update.

There has recently been a dramatic increase of empirical studies that investigate methods for detecting malingering of cognitive deficits. The present review focuses on a comparison of simulated and suspected malingerers in the malingering literature, and critiques the numerous approaches to the detection of malingering. The approaches that are reviewed include detection of floor effects, discrepancies of information, response bias, neuropsychological tests and batteries, symptom validity testing, and anomalous performance on memory tests. The latter approach has only recently been proposed by researchers and may show the most promise.

Cognition Disorders↗

Activity memory and aging: the role of motor retrieval and strategic processing.

This study examined the role of retrieval and encoding mechanisms in the magnitude of age differences in the recall of subject-performed tasks (SPTs). Eighty older (60-79 years old) and 80 younger adults (18-26 years old) were tested in 1 of 4 conditions by varying modality at both encoding and retrieval. The role of list organization in reducing age differences in SPT recall was also examined. The results suggested that older adults' SPT recall improves when motor processing is enhanced by list organization. Age differences in recall were reduced for an organized list when motor processing occurred during retrieval or encoding, but age differences in recall of an unorganized list remained under most conditions. Discrepant results in the literature concerning the magnitude of age differences in SPT recall could be due in part to differences in list characteristics, such as organization, that have not been fully explored.

Adolescent↗

Age differences in the recall of actions and cognitive activities: the effects of presentation rate and object cues.

In studies of activity memory, age differences have been found in the recall of cognitive activities (sustained mental activities that subjects solve during acquisition) but not in recall of Subject-Performed Tasks (one-step actions that subjects enact during acquisition). To understand the reasons for the discrepant findings, both types of item were included in a study examining the effects of object cues, rate of presentation, and aging. Variations in presentation rate or use of objects did not account for the different findings on the two item types. Even when presentation rate and object cues were matched, larger age differences were found for recall of cognitive activities than of SPTs. Age differences were also affected by the interaction of item type, presentation rate, and the presence of objects during encoding. To identify the variables controlling age differences, more analysis is needed of the features of activities to be remembered.

Adolescent↗