RETR_PWR: An SAS macro for retrospective statistical power analysis

In contrast to prospective power analysis, retrospective power analysis provides an estimate of the statistical power of a hypothesis test after an investigation has been conducted rather than before. In this article, three approaches to obtaining point estimates of power and an interval estimation algorithm are delineated. Previous research on the bias and sampling error of these estimates is briefly reviewed. Finally, an SAS macro that calculates the point and interval estimates is described. The macro was developed to estimate the power of anF test (obtained from analysis of variance, multiple regression analysis, or any of several multivariate analyses), but it may be easily adapted for use with other statistics, such as chi-square tests ort tests.     

Pavlovian eyeblink conditioning in combat veterans with and without post-traumatic stress disorder

Several recent studies have investigated relationships between post-traumatic stress disorder (PTSD) and learning and memory problems. These reports have found in general that not only does PTSD affect trauma-related memories, but when patients with PTSD are compared with similar trauma patients without PTSD, general memory impairments have been found. The present paper reports a study in which associative learning, using Pavlovian eyeblink conditioning, was investigated in combat veterans with and without chronic PTSD, using interstimulus intervals of 500 and 1000 msec in two separate experiments. Although several recent reports suggest that larger-magnitude autonomic conditioned responses occur in patients with PTSD during Pavlovian conditoning, the present study found evidence of impaired Pavlovian eyeblink conditioning in combat veterans with and without PTSD, compared to non-combat veterans. Although these data suggest that combat leads to an impaired associative learning process regardless of whether PTSD is apparent, a group of community-dwelling combat veterans not under medical treatment showed normal conditioning, suggesting that variables other than prior combat must also be involved.     

Distinguishing Language from Thought: Experimental Evidence That Syntax Is Lexically Rather Than Conceptually Represented

It is generally assumed that syntax is represented linguistically rather than conceptually, consistent with the more general view that language and thought are coded separately. This claim is widely defended on logical grounds, but it has received little experimental support. In the present study, we asked Spanish and English speakers to make semantic and syntactic categorizations for pictures and their corresponding names. Consistent with past results, latencies to semantically categorize pictures and words were similar. The new finding is that participants were faster to make syntactic decisions for words compared with pictures, suggesting that syntactic features such as grammatical gender and the count-mass distinction are more closely linked to lexical than conceptual representations.     

On Defining ‘Argument’

There is no concept more central to logic and critical thinking than the concept of an argument. I here address the definition of ‘argument’ in the logical sense of the term and defend the claim that many current proposals, once they are interpreted in a way that makes them sufficiently precise, are extensionally inadequate. Definitions found in some contemporary, prominent critical thinking textbooks will serve as a springboard. I claim that each may be interpreted in an absolutist way (i.e., as providing a definition of ‘argument’ simpliciter) or a relativistic way (as providing a definition of ‘argument-for-S’, where S is some agent or group of agents), yet all turn out to be objectionable no matter which route is taken. I finish with a proposal on which the definition of ‘argument’ is an absolutist one, yet one that avoids the problems discussed for the earlier proposals.     

The Counseling Center Assessment of Psychological Symptoms Distress Index: A pragmatic exploration of general factors to enhance a multidimensional scale

Objective: The authors attempted to develop and validate a general distress index for a multidimensional psychological symptom/outcome measure used in over 300 college counseling centers with more than 100,000 cases annually: the Counseling Center Assessment of Psychological Symptoms (CCAPS). Method: Four models were compared for fit indices (n = 19,247): the existing first-order factor model (without a general factor), a second-order factor model, a bifactor model, and a single factor or “total score” model. In separate clinical and non-clinical samples, concurrent and divergent validity were examined using several well-established measures of psychological symptoms, as well as two-week test–retest and treatment utilization data. Results: Second-order and bifactor models which captured a single “distress” factor both exhibited good fit to the data relative to the baseline and “total score” model. Validity data indicated that factors adequately measured meaningful clinical onstructs. Conclusion: Both the bifactor and second-order models indicated the presence of a “distress index” comprised items across many of the CCAPS subscales. This distress scale has strong applicability for benchmarking the overall severity and complexity of patients at different centers, and can be used to help identify colleges and universities with areas of clinical strength, which can be studied to improve the field. Clinically, the distress index offers a parsimonious and efficient method for clinicians to monitor patients’ progress through treatment.     

Differences in Beliefs About Psychological Services in the Relationship Between Sociorace and One's Social Network

The roles of previous psychological service use and social network variables in beliefs about psychological services were examined with 184 college students. Having friends and family members who used psychological services, being female, and having used psychological services positively related with beliefs about psychological services. Socioracial differences in the effects of previous use of psychological services and social network variables on students’ beliefs about psychological services were found. Suggestions for ways counselors can provide support to students are discussed.     

Multidimensional Perfectionism and Anxiety: Differences Among Individuals With Perfectionism and Tests of a Coping‐Mediation Model

This study examined the relationship between adaptive and maladaptive perfectionism, anxiety, and coping processes in a sample of 329 undergraduate students. Specifically, participants with adaptive perfectionism had the lowest levels of anxiety, followed by participants with nonperfectionism, and participants with maladaptive perfectionism had the highest levels. Various coping processes mediating the relationship between maladaptive perfectionism and anxiety are discussed.     

Civilian Response Corps Force Review: The Application of Multi‐Criteria Decision Analysis to Prioritize Skills Required for Future Diplomatic Missions

Created by the State Department's Office of the Coordinator for Reconstruction and Stabilization, the Civilian Response Corps (CRC) contains a diverse pool of qualified and ready‐to‐deploy civilian professionals that support conflict prevention and response efforts in countries or regions that are at risk of, are currently in, or are transitioning from conflict or civil strife. As such, it is vital to optimize the CRC's skill groupings to maximize adaptability and responsiveness to highly uncertain and trying political conditions and crises across the globe. The nature of the CRC value proposition is such that determining which skill set compositions deliver the greatest benefit requires a multi‐faceted perspective that looks at a number of attributes and factors, both tangible and intangible. To meet these needs, an organizational decision‐making approach utilizing multi‐criteria decision analysis (MCDA) was applied to ensure that skill‐grouping allocations were determined in a logical and robust manner. The MCDA analysis allowed for a wide range of worldviews and perspectives, drawn from select members of academia and partner agencies of the CRC who provided their expert opinions on the expected demand for skill groupings commonly identified as most necessary in a civilian ‘surge’ capacity. These skills were assessed with reference to a values hierarchy of representative country scenarios, missions and sub‐missions identified by the Office of the Coordinator for Reconstruction and Stabilization. Of particular interest was the use of the MCDA method to prioritize CRC skill groupings and to help inform the Department of State's understanding of the ‘ideal’ proportion and types of civilian skills for inclusion in the CRC. Copyright © 2012 John Wiley & Sons, Ltd.     

A comparison of methods for estimating quadratic effects in nonlinear structural equation models

Two Monte Carlo simulations were performed to compare methods for estimating and testing hypotheses of quadratic effects in latent variable regression models. The methods considered in the current study were (a) a 2-stage moderated regression approach using latent variable scores, (b) an unconstrained product indicator approach, (c) a latent moderated structural equation method, (d) a fully Bayesian approach, and (e) marginal maximum likelihood estimation. Of the 5 estimation methods, it was found that overall the methods based on maximum likelihood estimation and the Bayesian approach performed best in terms of bias, root-mean-square error, standard error ratios, power, and Type I error control, although key differences were observed. Similarities as well as disparities among methods are highlight and general recommendations articulated. As a point of comparison, all 5 approaches were fit to a reparameterized version of the latent quadratic model to educational reading data.