Statistical analysis of fuzzy-set data from neuronal networks

In this study, we describe the process of transforming neuron polarization values that meet the assumptions of ratio data into ordinal data. This is a crisp-to-fuzzy set transformation. A computerized simulation of the application of this process is discussed and nonparametric methods of analyzing fuzzy-set data are presented.     

The use of computer networks in data gathering and data analysis

In our research, the data are gathered in the laboratory on a DEC PDP-11/24 minicomputer. Once the data are gathered, they are analog-to-digital (A/D) converted and sent by the PDP to an IBM 370-3031. The data are submitted to a Fast Fourier Transform (FFT) on the IBM computer. Once the FFT is completed, the data are accessed by an IBM PC-XT that is equipped with an IRMA system. The PC is used in its emulation mode to access the data in the mainframe. In the mainframe, SPSS or SAS is used to do the initial statistical analyses. When necessary, subsets of the data are transferred to the PC, where other computer programs are used to analyze the data. In many instances, they are returned to the mainframe from the PC, where they are submitted to multivariate statistical analysis. Finally, all of the data are stored on floppy disks, which are prepared on the PC.     

Developing probability limits for longitudinal physiological data

The objective of this study was to determine what amount of change in heart electrophysiology is necessary to yield a significant difference between a baseline condition and an experimental treatment condition. In a single-subject longitudinal design, a modification of at test was applied to baseline data, and the performance levels for both .05 and .01 probability levels were obtained. It was concluded that it is both ethically sound and physiologically safe to permit a subject in this type of experiment to physiologically respond at levels that would reach both the .05 and the .01 levels of significance.     

Matrix manipulation and interpretation of data related to AIDS transmission

This research describes how a currently available spreadsheet program can be set up to analyze sociographic data. An algorithm developed by Jamrich (1960) is presented, along with both the mathematical and the spreadsheet equations. An example of the application of the algorithm and equations to AIDS transmission data is presented.     

A psychological interview process for career assessment

The authors present a comprehensive four-step process for conducting initial career assessment by interview. The process assesses skills, interests, values, non-work relationships, goals and activities, and psychological aspects such as self-esteem and work attitudes. The interview process is flexible, internally consistent and portable. Step One analyzes the client's work history and includes reasons why such a history may be inadequate. Step Two examines work-related preferences. Step Three investigates lifestyle context, and Step Four produces a summary of all the accumulated interview information, including options the client wishes to avoid. Detailed worksheets accompany the article.This article has been adapted, with permission, from Chapter 3, Promoting Client Self Understanding, in Yost, E. B., and Corbishley, M. A.Career Counseling: A Psychological Approach. San Francisco: Jossey-Bass, 1987.     

Computer-managed inferential statistical analysis of EEG data

Much of the neuroelectrical/psychophysiologic research of the past has involved the use of “group-type” statistics. Often, this has resulted in large variances that make it difficult, if not impossible, to find significant differences. Using the INNOVATE technique of single-subject design, we are able to consistently demonstrate significant differences in EEG spectra related to experimental and clinical effects previously masked.     

Aggression-consistent, -inconsistent,and -irrelevant priming effects on selective exposure to media violence

Priming with aggressive concepts increases males' attraction to media violence. It was hypothesized that priming with schema-irrelevant concepts would decrease interest relative to the effects of schema-relevant concepts, whether or not the schema-relevant concepts were also schema-consistent. Thirty male undergraduates used lists including aggressive (schema-consistent and schema-relevant), positive or prosocial (schema-inconsistent yet relevant), or entirely neutral (schema-irrelevant) words to write short stories (priming task), then received an opportunity to select videotaped film clips for viewing. Subjects primed by aggressive word lists included more aggression, anger, fear, and violence in their stories than did those in the aggression-inconsistent and aggression-irrelevant conditions, whereas aggression-inconsistent priming yielded more fun, helping, and joy than did other conditions. Aggressively primed subjects expressed more interest in films containing violence and hostility than did neutrally primed subjects, whereas aggression-inconsistent priming did not differ significantly from either aggressive (schema-consistent) or neutral (schema-irrelevant) priming. Findings indicate that the aggressive priming activates aggressive concepts that make violence and hostility more salient to individuals. Because male undergraduates typically express interest in violence, enhanced salience leads to increased interest. © 1992 Wiley-Liss, Inc.     

Toward an understanding of situational judgment item validity and group differences

This paper evaluates 2 adjustments to common scoring approaches for situational judgment tests (SJTs). These adjustments can result in substantial improvements to item validity, reductions in mean racial differences, and resistance to coaching designed to improve scores. The first adjustment, applicable to SJTs that use Likert scales, controls for elevation and scatter (Cronbach & Gleser, 1953). This adjustment improves item validity. Also, because there is a White-Black mean difference in the preference for extreme responses on Likert scales (Bachman & O'Malley, 1984), these adjustments substantially reduce White-Black mean score differences. Furthermore, this adjustment often eliminates the score elevation associated with the coaching strategy of avoiding extreme responses (Cullen, Sackett, & Lievens, 2006). Item validity is shown to have a U-shaped relationship with item means. This holds both for SJTs with Likert score response formats and for SJTs where respondents identify the best and worst response option. Given the U-shaped relationship, the second adjustment is to drop items with midrange item means. This permits the SJT to be shortened, sometimes dramatically, without necessarily harming validity.     

Linearity of Personality–Performance Relationships: A large‐scale examination

This paper reviews theory and past research concerning nonlinear relationships between personality tests and job performance. We compare linear and nonlinear regression models for each of the 32 Occupational Personality Questionnaire (OPQ32i) scales using job performance as the criterion variable. We evaluate linear, quadratic, and cubic relationships between personality and job performance by calculating changes in R (ΔR) between the linear and nonlinear models. We use 3 decision rules of varying levels for ΔR and divide a large sample randomly into 2 samples to cross‐validate any nonlinear effects found. Few scales exhibited nonlinearity and the magnitude of the departures from linearity were small.