The Beck Anxiety Inventory: Psychometric Properties with Older Adults

The assessment of anxiety disorders in late life is often hindered by the lack of measures specifically validated with older adults. Because anxiety manifestations may vary across age groups, it is important to design new instruments or validate existing measures with older adults. This study examined the psychometric properties of the Beck Anxiety Inventory (BAI) in a sample of 281 older adults who were community-dwelling (82.6%) or living in residential care facilities (17.4%). The mean total BAI score was 6.5 (SD = 7.2), indicating minimal anxiety symptomatology in this older sample. There was a trend for older subjects to score higher. Females scored higher than males, and subjects living in a residential facility scored higher than did community dwellers. Item-total correlations were in the moderate range and the internal consistency of the BAI was adequate (alpha = 0.89). A factor analysis yielded a six-factor structure accounting for 64.6% of the variance, with a somatic factor accounting for the largest portion of the variance (32.2%). Because somatic symptoms are more prevalent with aging, such symptoms should not be weighed as heavily in the total BAI score as cognitive or behavioral symptoms. The findings indicate that the BAI is a useful self-report scale for assessing anxiety symptomatology among older adults.     

CONSTRUCTED-RESPONSE MATCHING TO SAMPLE AND SPELLING INSTRUCTION

The development of interactive programmed instruction using a microcomputer as a teaching machine is described. The program applied a constructed-response matching-to-sample procedure to computer-assisted spelling instruction and review. On each trial, subjects were presented with a sample stimulus and a choice pool consisting of 10 individual letters. In initial training, sample stimuli were arrays of letters, and subjects were taught to construct identical arrays by touching the matching letters in the choice pool. After generalized constructed-response identity matching was established, pictures (line drawings) of common objects were presented as samples. At first, correct spelling was prompted by also presenting the printed name to be “copied” via identity matching; then the prompts were faded out. The program was implemented with 2 mentally retarded individuals. Assessment trials determined appropriate words for training. Correct spelling was established via the prompt-fading procedure; training trials were interspersed among baseline trials that reviewed and maintained spelling of previously learned words. As new words were learned, they were added to a cumulative baseline to generate an individualized review and practice battery for each subject.     

A maximum likelihood procedure for the analysis of group and individual data in aphasia research.

The limitations inherent in group versus case studies appear to lie in a complementary distribution, underscoring the importance of combining both strategies within a single research program. However, this compromise approach requires analytic tools that permit us to combine and evaluate individual and group data in a common format. Maximum likelihood estimation (MLE) belongs to a family of procedures for determining goodness of fit. MLE can be used in conjunction with a linear or nonlinear model of the way that sources of information combine to determine a given behavioral outcome; such models can be used to estimate the distance between two groups, the degree to which an individual case deviates from a given empirically or theoretically defined group profile, and the degree to which one individual case resembles another. We offer a demonstration of how MLE can be used to evaluate group and individual profiles, in a cross-linguistic study of sentence comprehension in nonfluent aphasic speakers of English, Italian, and German. This includes a demonstration in which the MLE models for each language are "lesioned" to simulate several competing accounts of receptive agrammatism.     

Bayesian estimation in unrestricted factor analysis: A treatment for heywood cases

A Bayesian procedure is given for estimation in unrestricted common factor analysis. A choice of the form of the prior distribution is justified. It is shown empirically that the procedure achieves its objective of avoiding inadmissible estimates of unique variances, and is reasonably insensitive to certain variations in the shape of the prior distribution.     

Testing pattern hypotheses for covariance matrices

Maximum likelihood estimates of the free parameters, and an asymptotic likelihood-ratio test, are given for the hypothesis that one or more elements of a covariance matrix are zero, and/or that two or more of its elements are equal. The theory applies immediately to a transformation of the covariance matrix by a known nonsingular matrix. Estimation is by Newton's method, starting conveniently from a closed-form least-squares solution.Numerical illustrations include a test for equality of diagonal blocks of a covariance matrix, and estimation of quasi-simplex structures.