Equipment is cheap,but the field must develop and support common software for psychological research

Over the last 18 years, the commercial sector has provided psychology with very advanced equipment at low cost. It is unlikely, however, that the commercial sector will provide psychology with the special-purpose software that is needed for data acquisition. Software costs are now the greatest cost of data acquisition. Psychology needs common software used by many researchers. Efforts and funds must therefore be concentrated so that comprehensive software systems can be developed and supported. Software systems should provide open architectures to allow individual researchers to add specialized functions within an integrated environment.     

IDAC computer interfacing for an undergraduate learning laboratory

A hardware and software interface system from International Data and Acquisition and Control, Inc. (IDAC) is reviewed. The IDAC system comes with spreadsheet software compatible for either Macintosh or IBM microcomputers. I prefer to use the IDAC hardware with my own software written in TrueBasic and spreadsheet macros. The entire system is easy to use and is currently in use for our undergraduate Learning Laboratory.     

Cognitive modeling with spreadsheets

Spreadsheet implementations of two different types of cognitive models—a neural network model and a statistical model—are presented. The two examples illustrate how to employ the facilities of spreadsheets, the spreadsheet data structure, array functions, the built-in function library, and the integrated optimizer, for building cognitive models. The two presented models are new extensions of existing models. They are used for simulating data from experiments illustrating that the extended versions are able to explain experimental results that could not be simulated by the original models. The whole simulation study demonstrates that spreadsheets are a handy tool, especially for researchers without programming knowledge who want to build cognitive models and for instructors teaching cognitive modeling.     

MacLaboratory Controller: A switch and A/D interface between Apple’s Macintosh and peripheral apparatus

Apple’s Macintosh microcomputer has advantages over other systems used for laboratory control and data acquisition, especially because of its graphic and user-friendly features. However, a major perceived limitation has been its closed architecture. We describe an interface using the RS 422 modem port that supports up to 64 input/output (I/O) functions including analog-to-digital 4–12 channel input. The Controller software supplies an easily edited authoring tool in which functional relationships, logical operators, timing (millisecond accuracy), and counting functions are established through simple mouse and menu commands. Data from I/O functions may be displayed or saved as tab-delimited files that can be opened by various Macintosh statistical and spreadsheet packages and that are transportable to some mainframe applications.     

An Excel macro for transformed and weighted averaging

An Excel macro is presented for averaging spreadsheet data. The macro has several special features: (1) The data are weighted by the inverse variance of each datum to decrease the contribution-of noisy outliers. (2) There is a provision for a power or a log transform of the data before averaging. The rationale for transforming the data before averaging is discussed (3) The output includes the average value, its standard error, and the reduced chi-square that measures the goodness of fit (4) The standard error is corrected by a heterogeneity factor based on the reduced chi-square The averaging of data is rarely done properly, and the intent of this article is to clarify the issues and provide a tool that allows researchers to improve their averaging techniques.     

ELIA: A software application for integrating spoken language and eye movements

We have developed a new software application, Eye-gaze Language Integration Analysis (ELIA), which allows for the rapid integration of gaze data with spoken language input (either live or prerecorded). Specifically, ELIA integrates E-Prime output and/or .csv files that include eye-gaze and real-time language information. The process of combining eye movements with real-time speech often involves multiple error-prone steps (e.g., cleaning, transposing, graphing) before a simple time course analysis plot can be viewed or before data can be imported into a statistical package. Some of the advantages of this freely available software include (1) reducing the amount of time spent preparing raw eye-tracking data for analysis; (2) allowing for the quick analysis of pilot data in order to identify issues with experimental design; (3) facilitating the separation of trial types, which allows for the examination of supplementary effects (e.g., order or gender effects); and (4) producing standard output files (i.e., .csv files) that can be read by numerous spreadsheet packages and transferred to any statistical software.     

The researcher goes to school

Educational research in the naturalistic setting is challenging and rewarding for the researcher, but it places new demands upon teachers and administrators. School personnel may view the researcher as an intruder, a fact which researchers must understand from the school's point of view. Research needs and goals must be understood by school personnel prior to the onset of data collection. Research can be successfully implemented in the naturalistic setting if emphathetic researchers work closely with school personnel to facilitate mutual understanding.     

Evaluating Multiple-Attribute Decision Support Systems

Differences in the perceived usefulness of five multiple-attribute decision support systems versus a basic spreadsheet are empirically assessed. Twenty-four college faculty members participated in a repeated measures experiment in which they used decision support software for personal computers to analyse semistructured multiple-attribute problems. The software packages employed were Criterium, Expert Choice, Logical Decision, VIMDA, VISA and the spreadsheet package Quattro Pro. A questionnaire was developed to assess user-friendliness of the software, confidence in the procedure implemented by the software, and users’ confidence in their results when employing the decision aids. Time to reach a decision was also measured. Significant differences were fund in the overall way users ranked these aids, in the perceived user-friendliness and the confidence in procedure among aids, and in the time it took to arrive at a result. Comments from users are also reported. © 1997 John Wiley & Sons, Ltd.     

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.     

Data transfer concepts and strategies in a psychological research environment

In this paper, we discuss the importance and problems of data transfer in psychological research environments. Discussion includes how simple text file transfer systems meet researchers’ needs. The systems’ shortcomings are also analyzed. Strategies for customizing systems, using pre-prepared software packages, point-to-point systems, and “networked” systems, are carefully analyzed.     

Open-source software to conduct online rating studies

Several software programs exist to assist researchers in setting up online questionnaires. Existing tools are of little help for delivering online rating studies, for which it is often desirable to collect data from participants for only a subset of a stimulus set. OR-Vis enables researchers to quickly set up online rating studies by supplying the set of items to be rated, the number of stimuli an individual participant responds to, the number of participants an item is shown to, and the rating questions. The software then generates and delivers unique questionnaires for each participant, while managing the data collection process. The present article describes OR-Vis, its installation process, and how to use it to gather data. OR-Vis is open-source software and can be downloaded from www.orvis.uni-muenster.de.     

Real-time sharing of gaze data between multiple eye trackers–evaluation,tools, and advice

Technological advancements in combination with significant reductions in price have made it practically feasible to run experiments with multiple eye trackers. This enables new types of experiments with simultaneous recordings of eye movement data from several participants, which is of interest for researchers in, e.g., social and educational psychology. The Lund University Humanities Laboratory recently acquired 25 remote eye trackers, which are connected over a local wireless network. As a first step toward running experiments with this setup, demanding situations with real time sharing of gaze data were investigated in terms of network performance as well as clock and screen synchronization. Results show that data can be shared with a sufficiently low packet loss (0.1 %) and latency (M = 3 ms, M A D = 2 ms) across 8 eye trackers at a rate of 60 Hz. For a similar performance using 24 computers, the send rate needs to be reduced to 20 Hz. To help researchers conduct similar measurements on their own multi-eye-tracker setup, open source software written in Python and PsychoPy are provided. Part of the software contains a minimal working example to help researchers kick-start experiments with two or more eye trackers.     

MouseTracker: Software for studying real-time mental processing using a computer mouse-tracking method

In the present article, we present a software package, MouseTracker, that allows researchers to use a computer mouse-tracking method for assessing real-time processing in psychological tasks. By recording the streaming x-, y-coordinates of the computer mouse while participants move the mouse into one of multiple response alternatives, motor dynamics of the hand can reveal the time course of mental processes. MouseTracker provides researchers with fine-grained information about the real-time evolution of participant responses by sampling 60–75 times/sec the online competition between multiple response alternatives. MouseTracker allows researchers to develop and run experiments and subsequently analyze mouse trajectories in a user-interactive, graphics-based environment. Experiments may incorporate images, letter strings, and sounds. Mouse trajectories can be processed, averaged, visualized, and explored, and measures of spatial attraction/curvature, complexity, velocity, and acceleration can be computed. We describe the software and the method, and we provide details on mouse trajectory analysis. We validate the software by demonstrating the accuracy and reliability of its trajectory and reaction time data. The latest version of MouseTracker is freely available at http://mousetracker.jbfreeman.net.     

Software Piracy in Research: A Moral Analysis

Researchers in virtually every discipline rely on sophisticated proprietary software for their work. However, some researchers are unable to afford the licenses and instead procure the software illegally. We discuss the prohibition of software piracy by intellectual property laws, and argue that the moral basis for the copyright law offers the possibility of cases where software piracy may be morally justified. The ethics codes that scientific institutions abide by are informed by a rule-consequentialist logic: by preserving personal rights to authored works, people able to do so will be incentivized to create. By showing that the law has this rule-consequentialist grounding, we suggest that scientists who blindly adopt their institutional ethics codes will commit themselves to accepting that software piracy could be morally justified, in some cases. We hope that this conclusion will spark debate over important tensions between ethics codes, copyright law, and the underlying moral basis for these regulations. We conclude by offering practical solutions (other than piracy) for researchers.     

Psychology Experiment Authoring Kit (PEAK): Formal usability testing of an easy-to-use method for creating computerized experiments

In academic courses in which one task for the students is to understand empirical methodology and the nature of scientific inquiry, the ability of students to create and implement their own experiments allows them to take intellectual ownership of, and greatly facilitates, the learning process. The Psychology Experiment Authoring Kit (PEAK) is a novel spreadsheet-based interface allowing students and researchers with rudimentary spreadsheet skills to create cognitive and cognitive neuroscience experiments in minutes. Students fill in a spreadsheet listing of independent variables and stimuli, insert columns that represent experimental objects such as slides (presenting text, pictures, and sounds) and feedback displays to create complete experiments, all within a single spreadsheet. The application then executes experiments with centisecond precision. Formal usability testing was done in two stages: (1) detailed coding of 10 individual subjects in one-on-one experimenter/subject videotaped sessions and (2) classroom testing of 64 undergraduates. In both individual and classroom testing, the students learned to effectively use PEAK within 2 h, and were able to create a lexical decision experiment in under 10 min. Findings from the individual testing in Stage 1 resulted in significant changes to documentation and training materials and identification of bugs to be corrected. Stage 2 testing identified additional bugs to be corrected and new features to be considered to facilitate student understanding of the experiment model. Such testing will improve the approach with each semester. The students were typically able to create their own projects in 2 h.     

American Indian Researcher Perspectives on Qualitative Inquiry About and Within American Indian Communities

It is presumed that Indigenous researchers are optimally positioned to conduct research about or within their own or other Indigenous communities. However, these researchers may still experience challenges, barriers, and distressing events that are important to identify. Qualitative inquiry may be a particularly vulnerable context for Indigenous researchers given the nature of data collection methods and an emphasis on researcher–participant relationships. This paper details the personal reflections of two American Indian (AI) researchers who carried out qualitative research focused on AI issues and/or communities. The first project examined undergraduate students’ opinions of the use of AI imagery in the form of a race‐based university mascot. The second was a study of the mental health needs of AI youth and families in an urban community. Several themes characterized both of their experiences and might be generalizable to others working in these contexts: (a) coping with racism and microaggressions; (b) the role and impact of identity politics; (c) community insider/outsider tension; and (d) managing personal distress associated with the research topics and process. These themes are discussed to illuminate ways that Indigenous researchers, engaged in research on Indigenous topics and/or with Indigenous communities, are challenged and affected by their work.     

SenseCam: a wearable camera that stimulates and rehabilitates autobiographical memory

SenseCam is a wearable digital camera that captures an electronic record of the wearer's day. It does this by automatically recording a series of still images through its wide-angle lens, and simultaneously capturing a log of data from a number of built-in electronic sensors. Subsequently reviewing a sequence of images appears to provide a powerful autobiographical memory cue. A preliminary evaluation of SenseCam with a patient diagnosed with severe memory impairment was extremely positive; periodic review of images of events recorded by SenseCam resulted in significant recall of those events. Following this, a great deal of work has been undertaken to explore this phenomenon and there are early indications that SenseCam technology may be beneficial to a variety of patients with physical and mental health problems, and is valuable as a tool for investigating normal memory through behavioural and neuroimaging means. Elsewhere, it is becoming clear that judicious use of SenseCam could significantly impact the study of human behaviour. Meanwhile, research and development of the technology itself continues with the aim of providing robust hardware and software tools to meet the needs of clinicians, patients, carers, and researchers. In this paper we describe the history of SenseCam, and the design and operation of the SenseCam device and the associated viewing software, and we discuss some of the ongoing research questions being addressed with the help of SenseCam.     

CHull: A generic convex-hull-based model selection method

When analyzing data, researchers are often confronted with a model selection problem (e.g., determining the number of components/factors in principal components analysis [PCA]/factor analysis or identifying the most important predictors in a regression analysis). To tackle such a problem, researchers may apply some objective procedure, like parallel analysis in PCA/factor analysis or stepwise selection methods in regression analysis. A drawback of these procedures is that they can only be applied to the model selection problem at hand. An interesting alternative is the CHull model selection procedure, which was originally developed for multiway analysis (e.g., multimode partitioning). However, the key idea behind the CHull procedure—identifying a model that optimally balances model goodness of fit/misfit and model complexity—is quite generic. Therefore, the procedure may also be used when applying many other analysis techniques. The aim of this article is twofold. First, we demonstrate the wide applicability of the CHull method by showing how it can be used to solve various model selection problems in the context of PCA, reduced K-means, best-subset regression, and partial least squares regression. Moreover, a comparison of CHull with standard model selection methods for these problems is performed. Second, we present the CHULL software, which may be downloaded from http://ppw.kuleuven.be/okp/software/CHULL/, to assist the user in applying the CHull procedure.     

A technique for continuous measurement of body movement from video

The movements that we make with our body vary continuously along multiple dimensions. However, many of the tools and techniques presently used for coding and analyzing hand gestures and other body movements yield categorical outcome variables. Focusing on categorical variables as the primary quantitative outcomes may mislead researchers or distort conclusions. Moreover, categorical systems may fail to capture the richness present in movement. Variations in body movement may be informative in multiple dimensions. For example, a single hand gesture has a unique size, height of production, trajectory, speed, and handshape. Slight variations in any of these features may alter how both the speaker and the listener are affected by gesture. In this paper, we describe a new method for measuring and visualizing the physical trajectory of movement using video. This method is generally accessible, requiring only video data and freely available computer software. This method allows researchers to examine features of hand gestures, body movement, and other motion, including size, height, curvature, and speed. We offer a detailed account of how to implement this approach, and we also offer some guidelines for situations where this approach may be fruitful in revealing how the body expresses information. Finally, we provide data from a small study on how speakers alter their hand gestures in response to different characteristics of a stimulus to demonstrate the utility of analyzing continuous dimensions of motion. By creating shared methods, we hope to facilitate communication between researchers from varying methodological traditions.