A survey of recent publications in pastoral psychological fields

The author calls attention to a number of recent publications to assist pastors in selecting titles which will prove most helpful to them. He discusses books of general interest on religion and ministry, books on counseling and psychotherapy, books on psychology and personality, and books in theology, ethics and philosophy.Dr. Hunter is Associate Professor of Pastoral Theology at Candler School of Theology, Emory University, Atlanta, Georgia 30322, and serves as Book Review Editor ofPastoral Psychology.     

Implications of test revisions for research

Test revisions are increasingly common in psychology and neuropsychology in particular. However, such revisions may alter in complex ways the kind of information obtained, and they may assess traits, abilities, and conditions in ways different from earlier versions. This article outlines some of the problems associated with the revision of tests facing clinicians and researchers. Three broad classes of revision are considered. Part 1 considers the aging of tests, part 2 concerns the aging of participants, and part 3 considers changes in test format. Although the article focuses largely on measures of intelligence and personality, the issues addressed in the article apply to other tests and assessment domains as well.     

As Good as GOLD: Gram–Schmidt Orthogonalization by Another Name

Generalized orthogonal linear derivative (GOLD) estimates were proposed to correct a problem of correlated estimation errors in generalized local linear approximation (GLLA). This paper shows that GOLD estimates are related to GLLA estimates by the Gram–Schmidt orthogonalization process. Analytical work suggests that GLLA estimates are derivatives of an approximating polynomial and GOLD estimates are linear combinations of these derivatives. A series of simulation studies then further investigates and tests the analytical properties derived. The first study shows that when approximating or smoothing noisy data, GLLA outperforms GOLD, but when interpolating noisy data GOLD outperforms GLLA. The second study shows that when data are not noisy, GLLA always outperforms GOLD in terms of derivative estimation. Thus, when data can be smoothed or are not noisy, GLLA is preferred whereas when they cannot then GOLD is preferred. The last studies show situations where GOLD can produce biased estimates. In spite of these possible shortcomings of GOLD to produce accurate and unbiased estimates, GOLD may still provide adequate or improved model estimation because of its orthogonal error structure. However, GOLD should not be used purely for derivative estimation because the error covariance structure is irrelevant in this case. Future research should attempt to find orthogonal polynomial derivative estimators that produce accurate and unbiased derivatives with an orthogonal error structure.     

Needs assessment activities in school psychology program development

Needs assessment activities are presented as a basis for gathering information essential to program development, revision, and evaluation. Needs assessment activities include surveys of trends advocated by national authorities and consumers and identification of needs of students and local school systems. These data form the basis for developing program objectives in a sequentially ordered multilevel program.