Converting scanned images for display in human experimental research on IBM or IBM-compatible computers

A program for the conversion of TIFF files of scanned images for display on IBM PCs is described. The program allows line drawings from various sources to be displayed in Turbo Pascal programs. The resultant picture files can be converted on a range of monitors, and the images displayed in different colors.     

The possible use of IBM-compatible computers and digital-to-analog conversion to assess children for reading disabilities and to increase their phonemic awareness

Hurford and Sanders (1990) and Hurford (1990) have been successful at employing digital-toanalog (D/A) conversion to remediate phonemic processing deficiencies in young disabled readers. The present study outlines how D/A conversion might be used to identify students who are at risk for reading disabilities. A large sample of first-quarter first graders (227) was administered tests of reading (the Word Identification and Word Attack subtests of the Woodcock Reading Mastery Tests-Revised), a measure of intelligence (IQ according to the Peabody Picture Vocabulary Test-Revised), and two measures of phonemic processing (phonemic discrimination and phonemic segmentation). The phonemic processing measures were significantly related to the measures of reading (ps < .0001). Students assigned to at-risk and not-at-risk groups on the basis of their reading scores were significantly different on the phonemic processing measures and on IQ. No differences were due to age. After the data were reanalyzed with IQ as a covariate, only phonemic segmentation differentiated the two groups. Although phonemic discrimination may be less useful for identifying young at-risk students, it seems to help in the remediation of phonemic processing deficiencies. Phonemic discrimination training would be less effective were it not for D/A conversion with personal computers.     

NAV: A tool for producing presentation quality animations of graphical cognitive model dynamics

Computational models of cognition often exhibit complex dynamics that are difficult to discern without the use of visualization tools. Current tools often provide insight only to the modeling expert, however, and they provide limited functionality for communicating model dynamics to the nonexpert, as is needed during scientific presentations and in educational settings. We present NAV, the Node Activity Visualizer, an easy-to-use and portable software tool that interactively transforms the output of cognitive modeling simulators into presentation quality animations of model performance. nt]mis|The members of the Vanderbilt University Computational Cognitive Neuroscience Laboratory for their helpful comments.     

Personalized interactive characters for toddlers' learning of seriation from a video presentation

Children's media is rooted in relationships with onscreen characters. In this study, 18-month-old toddlers were initially exposed to one of two unfamiliar interactive media characters for 3 months. Conditions varied whether the character was personalized to them or not. At age 21 months, toddlers were tested on a seriation task that was presented onscreen by the character and compared to the performance of a 21-month-old control group who did not view a video demonstration (total N = 48). Toddlers learned significantly more from the personalized character, but not from the non-personalized character, when compared to the control group. Children in the personalized condition also increased in parasocial, nurturing behaviors directed at the character during play sessions, and these scores were linked to better seriation performance. The results suggest an important role for social relationships with interactive characters to teach early seriation skills.     

Maximizing the mini-uses of on-line computers

This paper draws on our experiences at Carnegie-Mellon University to provide a decision framework for the acquisition of computer systems for laboratory applications. Also recommended are ways of creating an effective operating environment that can handle changing needs. Systems developed for our most recent research in eye-movement recording and children’s concept learning using the Turtle will illustrate the design principles for hardware and software components of minicomputer systems.     

A graphical representation of the mediated effect

Mediation analysis is widely used in the social sciences. Despite the popularity of mediation models, few researchers have used graphical methods, other than structural path diagrams, to represent their models. Plots of the mediated effect can help a researcher better understand the results of the analysis and convey these results to others. This article presents a method for creating and interpreting plots of the mediated effect for a variety of mediation models, including models with (1) a dichotomous independent variable, (2) a continuous independent variable, and (3) an interaction between an independent variable and the mediating variable. An empirical example is then presented to illustrate these plots. Sample code for creating plots of the mediated effect in R and SAS is also included, and may be downloaded from www.psychonomic.org/archive.     

The impact of computers on cognitive psychology

Computer developments and their applications in cognitive psychology are reviewed. Examples from recent studies illustrate the ways that computers are used for different research purposes: stimulus generation, on-line interactive experimental control, response collection, data analysis, and theory building. A quantitative analysis of federal funding for computer-based and noncomputer research compares costs over the past 9 years for the areas of perception, memory, learning, and thinking. A tabulation of journal articles relevant to computer-based cognitive research shows the distribution of articles over various categories of hardware and software development. Finally, the advantages and disadvantages of using computers in cognitive research are evaluated.     

Suggestions for the maintenance of accuracy of calculations implemented on digital computers

An approach that selectively uses double precision in calculating statistical quantities is described. Emphasis is placed upon the multiplication and accumulation rather than on the data themselves. In this way, core storage requirements are minimized and good relative error is also achieved.     

Foreground:background salience: Explaining the effects of graphical displays on risk avoidance

The purpose of this research was to determine the mechanisms underlying the graphical effect identified by Stone, Yates, and Parker (1997), in which graphical formats for conveying risk information are more effective than numerical formats for increasing risk-avoidant behavior. Two experiments tested whether this graphical effect occurred because the graphical formats used by Stone et al. highlighted the number of people harmed by the focal hazard, causing the decisions to be based mainly on the number of people harmed (which we label the “foreground”) at the expense of the total number of people at risk of harm (which we call the “background”). Specifically, two graphical formats were developed that displayed pictorially both the number of people harmed and the total number at risk, and use of these display formats eliminated the graphical effect. We thus propose that the previously discussed graphical effect was in fact a manifestation of a more general foreground:background salience effect, whereby displays that highlight the number of people harmed at the expense of the total number of people at risk of harm lead to greater risk avoidance. Theoretical and practical implications are discussed.     

Introduction to the special section on the use of computers for making judgments and decisions

Computers have the potential to greatly increase the accuracy of judgments and decisions that are made in the area of psychological assessment. The validity of present-day computer programs are described in the first 2 articles of this Special Section. Both computer-based test interpretation programs and mechanical prediction rules (e.g., statistical prediction rules) are described. Limitations of present-day computer programs are described in the 3rd article along with methodological recommendations for building more powerful rules. In the 4th article, a statistical analysis (neural network modeling) is described that may allow us to build better rules.     

Computer attitudes and the use of computers in psychology courses

Students enrolled in four psychology courses in which computers were used for different purposes completed both pre- and postcourse surveys regarding their prior computer experience, their attitudes toward computers, and their locus of control. A fifth psychology course in which computers were not used served as a control. Results showed that participation in the courses that involved computer activities led to more positive attitudes toward computers than did the control condition. In addition, the positive changes in computer attitudes were found to be independent of initial student characteristics and unrelated to course performance. There was also some suggestion that courses that have higher levels of direct involvement with computer applications may lead to the most positive attitude changes.     

Communicating the validity of structured job interviews with graphical visual aids

The structured job interview is often resisted by human resource (HR) professionals despite its superior predictive validity compared to the traditional unstructured interview. However, HR professionals may underestimate the utility of structured interviews because of how validity information is presented. Three online experiments with MTurk samples were conducted to examine the effect of statistical visual aids (Binomial effect size display; expectancy chart; icon array) on people's perceived usefulness of validity information and intentions toward using the structured interview. Results showed that graphical visual aids (expectancy chart and icon array) were perceived as more useful for communicating validity evidence than a nongraphical effect size display. People also judged the structured interview as more useful and were more willing to use it when validity evidence was presented graphically. Individual differences in graph literacy and nationality were also examined.     

A graphical method to aid the sequential analysis of observational data

In this paper, two methods of sequential analysis are applied to hypothetical observational data. The first method employs the conventional “conditional probability” approach, illustrated using the GSEQ program (Bakeman & Quera, 1995). In order to overcome some of the difficulties associated with the conditional probability approach, the second method employs a new “normalized and pooled” approach. Essentially, by normalizing periods of time preceding, during, and following each occurrence of a nominated “given” behavior, the proportion of time units devoted to a “target” behavior can be estimated and then pooled across all occurrences of the given behavior. A summary diagram representing the likelihood that the target behavior precedes, occurs concurrently with, and follows the given behavior can then be constructed. Elements of this summary diagram can also be quantified. Given the graphical nature of the output, and its ease of use, the normalized and pooled approach may help to promote the use of sequential analysis in applied settings.     

Survey on present and potential instructional use of computers in psychology

A survey of academic psychologists was taken to determine present use of computers in instruction, willingness to use good education software, and kinds of potential uses of computers in psychology courses. A majority of the respondents reported using computers in instruction. Respondents indicated substantial willingness to adopt computer-based courseware. Respondents believed that a variety of uses, including classroom demonstrations and student experiments, would facilitate student learning. The results of the survey are compared with the instructional modules the task force is developing.     

Effect of presentation order on the construction of linear orders

Subjects constructed four-term linear orders from three sentences expressing the relationships between adjacent elements in the order. Successful performance was more likely when the second sentence introduced only one element not mentioned in the first sentence rather than two new elements and when the second and third sentences introduced new elements as grammatical subjects rather than objects. Except for the latter result, previously proposed theories of reasoning processes primarily in three-term series problems, predict other differences that failed to appear. Apparently, in longer series, memory limitations favor conditions in which each sentence after the first presents a relationship between a new and an old element in linguistic forms that identify the new element.