EQUIWORD: A software application for the automatic creation of truly equivalent word lists

Word lists are most commonly used in the investigation of human memory. To prevent transfer effects, repeated measures of memory for words require multiple lists of different words. Yet, the psycholinguistic properties of all word lists employed should match as closely as possible to avoid confounding with the independent variable(s) in question. Although comprehensive databases for word norms exist, to our knowledge no tool is available that automates the creation of such equivalent word lists. Instead, matching different lists is often accomplished prima facie. We have therefore developed a Windows program called EQUIWORD that completely automates the creation of word lists that are truly parallel with respect to a wide range of attributes. EQUIWORD takes psycholinguistic databases of different formats as input and computes several coefficients of distance for every possible word pairing. Program output consists of a list of all word pairs sorted according to their distance. On that basis, creating equivalent word lists is simply done by selecting the pairs with the lowest distance coefficients.     

A software tool for auditory and speech perception experimentation

A computer program capable of supporting auditory and speech perception experimentation is described. Given a continuum of acoustic stimuli, the program (Paradigm) allows the user to present those stimuli under different, well-known psychophysical paradigms (simple identification, identification with a rating scale, 2IAX, ABX, AXB, and oddity task). For discrimination tests, both high uncertainty (roving designs) and minimal psychophysical uncertainty (fixed designs) procedures are available. All the relevant time intervals can be precisely specified, and feedback is also available. Response times can be measured as well. Furthermore, the program stores subjects’ responses and provides summaries of experimental results for both individual subjects and groups. The program runs on Microsoft Windows (3.1 or 95) on personal computers equipped with any soundboard.     

How to handle missing data: A comparison of different approaches

Many researchers face the problem of missing data in longitudinal research. Especially, high risk samples are characterized by missing data which can complicate analyses and the interpretation of results. In the current study, our aim was to find the most optimal and best method to deal with the missing data in a specific study with many missing data on the outcome variable. Therefore, different techniques to handle missing data were evaluated, and a solution to efficiently handle substantial amounts of missing data was provided. A simulation study was conducted to determine the most optimal method to deal with the missing data. Results revealed that multiple imputation (MI) using predictive mean matching was the most optimal method with respect to lowest bias and the smallest confidence interval (CI) while maintaining power. Listwise deletion and last observation carried backward also scored acceptable with respect to bias; however, CIs were much larger and sample size almost halved using these methods. Longitudinal research in high risk samples could benefit from using MI in future research to handle missing data. The paper ends with a checklist for handling missing data.     

A guide to norms,ratings, and lists

A catalog of 119 studies, mostly post-1960 except for a few important and well-controlled earlier ones, is listed. The studies provide norms, scales, ratings, or lists of verbal material for use in experiments investigating aspects of cognitive psychology, memory, psycholinguistics, neuropsychology, etc. The catalog is preceded by an outline index.     

Debating Forgiveness: A Reply to My Critics

In this essay I offer a detailed reply to three critics (whose commentaries are included in this issue of Philosophia) of my Forgiveness: a Philosophical Exploration (Cambridge: Cambridge University Press, 2007). The topics explored include the nature and limits of forgiveness; its unconditional or conditional character; the problem of distinguishing between central and marginal cases; the analysis of political apology; and questions of philosophical methodology.     

A computer program to generate and measure random forms

A computer program is described that generates random form stimuli by a method parallel to that described by Attneave & Arnoult (1956) for construction forms with both angles and arcs in their perimeters. The program also performs a physical analysis of the forms by computing the values of a large number of physical variables describing each form. Already existing forms also may be analyzed by the program. Thus, it has the capability to perform physical analyses of approximations to natural forms.     

Beyond the articulatory loop: A semantic contribution to serial order recall of subspan lists

In two experiments, serial order recall of short lists of content and function words under quiet and articulatory suppression conditions was examined in order to assess the hypotheses that (1) semantic attributes of words contribute to short-term-memory performance, and (2) do soindependently of effects attributable to the articulatory loop component. In Experiment 1, content words were better recalled than function words; both word types were equally impaired by suppression. This provides support for the notion that semantic coding makes an independent contribution to span performance. This word-class effect disappeared in Experiment 2, when content and function words were matched for imageability. These data suggest that at least some aspects of meaning contribute to serial order recall performance for short lists, independently of the articulatory loop.     

Open source software and software patents: A constitutional perspective

Imagine if each square of pavement on the sidewalk had an owner, and pedestrians required a license to step on it. Imagine the negotiations necessary to walk an entire block under this system. That is what writing a program will be like if software patents continue. The sparks of creativity and individualism that have driven the computer revolution will be snuffed out. Imagine if each square of pavement on the sidewalk had an owner, and pedestrians required a license to step on it. Imagine the negotiations necessary to walk an entire block under this system. That is what writing a program will be like if software patents continue. The sparks of creativity and individualism that have driven the computer revolution will be snuffed out.—Richard Stallman and Simson Garfinkel (1992) This article highlights the vulnerability of the open source software movement to patent infringement lawsuits. With the number of patents on software algorithms predicted to exceed 100,000 this year, it is now virtually impossible to write any computer program, however trivial, that does not violate one or more patents. This paper argues that this situation is not only ludicrous, but it is contrary to any reasonable reading of the Constitution’s intentions with respect to the protection of intellectual property. In addition, the patentability of software algorithms stems from the U.S. Supreme Court’s failure to grasp one of the most fundamental concepts of computer science. From this error stems a long, dysfunctional chain of legal reasoning and patent policies, the effect of which has been to transform the mental reasoning processes, abstract knowledge, and scientific truths of computing into patentable subject matter. The result poses a potentially catastrophic threat not only to the open source software movement and the emerging industry of electronic commerce, but more fundamentally, to the very existence of the sciences of computing, without which further U.S. technological leadership will be impossible to sustain. An anthropologist, Dr. Pfaffenberger has authored dozens of how-to and reference books on computers and the Internet. He won the Albert Payson Usher Prize from the Society for the History of Technology and the Best Book of the Year Award from the American Society for Information Science.     

Adding sound to lipread lists: The effects on serial recall of adding an auditory pulse train and a pure tone to silently lipread lists

These investigations examined subjects’ serial recall of lipread digit lists accompanied by an auditory pulse train. The pulse train indicated the pitch of voiced speech (buzz-speech) of the seen speaker as she was speaking. As a purely auditory signal, it could not support item identification. Such buzz-speech recall was compared with silent lipread list recall and with the recall of buzz-speech lists to which a pure tone had been added (buzz-and-beep lists). No significant difference in overall accuracy of recall emerged for the three types of lipread list; however, there were significant differences in the shape of the serial recall function for the three list types. Recency characterized the silent and the buzz-speech lists, and these lists differed in their varying susceptibilities to a range of speechlike suffixes. By contrast, adding a pure tone to a buzz-speech list (buzz-and-beep) produced little recency and no further recall loss as a function of suffix type. We discuss these effects with reference to the contrast betweensensory-similarity and speechlikeness accounts of auditory recency and suffix effects. Sensory similarity accounts cannot capture the effects reported here, but processing in a speech mode (buzz-and-beep) need not always lead to recency effects like those resulting from clearly heard or lipread lists.     

ConceptBuilder: An open-source software tool for measuring,depicting, and quantifying causal models

Measurements of people’s causal and explanatory models are frequently key dependent variables in investigations of concepts and categories, lay theories, and health behaviors. A variety of challenges are inherent in the pen-and-paper and narrative methods commonly used to measure such causal models. We have attempted to alleviate these difficulties by developing a software tool, ConceptBuilder, for automating the process and ensuring accurate coding and quantification of the data. In this article, we present ConceptBuilder, a multiple-use tool for data gathering, data entry, and diagram display. We describe the program’s controls, report the results of a usability test of the program, and discuss some technical aspects of the program. We also describe ConceptAnalysis, a companion program for generating data matrices and analyses, and ConceptViewer, a program for viewing the data exactly as drawn.