Simulation as a tool in family therapy research

The efficacy and validity of simulation for purposes of training and evaluation are well established. Simulation has proven valuable in human behaviour research as well. However, based on the belief that families and other small groups behave differently, many family theorists have concluded that simulation may not be valid for family research despite the fact that some empirical studies showed little difference between simulated and actual families, suggesting that the disparity may not be as great as commonly believed. Ongoing and future studies controlling for 'time together', a dimension presumed to be critical in comparing simulated with actual families, may demonstrate that differences are not sufficiently large to preclude the use of simulated families in family research. Methodological problems are addressed and directions for future research proposed.     

Affinity propagation: An exemplar-based tool for clustering in psychological research

Affinity propagation is a message-passing-based clustering procedure that has received widespread attention in domains such as biological science, physics, and computer science. However, its implementation in psychology and related areas of social science is comparatively scant. In this paper, we describe the basic principles of affinity propagation, its relationship to other clustering problems, and the types of data for which it can be used for cluster analysis. More importantly, we identify the strengths and weaknesses of affinity propagation as a clustering tool in general and highlight potential opportunities for its use in psychological research. Numerical examples are provided to illustrate the method.     

The person response function as a tool in person-fit research

Item responses that do not fit an item response theory (IRT) model may cause the latent trait value to be inaccurately estimated. In the past two decades several statistics have been proposed that can be used to identify nonfitting item score patterns. These statistics all yieldscalar values. Here, the use of the person response function (PRF) for identifying nonfitting item score patterns was investigated. The PRF is afunction and can be used for diagnostic purposes. First, the PRF is defined in a class of IRT models that imply an invariant item ordering. Second, a person-fit method proposed by Trabin & Weiss (1983) is reformulated in a nonparametric IRT context assuming invariant item ordering, and statistical theory proposed by Rosenbaum (1987a) is adapted to test locally whether a PRF is nonincreasing. Third, a simulation study was conducted to compare the use of the PRF with the person-fit statistic ZU3. It is concluded that the PRF can be used as a diagnostic tool in person-fit research.The authors are grateful to Coen A. Bernaards for preparing the figures used in this article, and to Wilco H.M. Emons for checking the calculations.     

Empirical evaluation of virtual environment technology as an experimental tool in developmental spatial cognition research

The study compared developmental aspects of spatial knowledge acquisition in a real and a virtual large-scale environment according to the classical study of Cohen and Schuepfer (1980 Cohen, R. and Schuepfer, T. 1980. The representation of landmarks and routes. Child Development, 51: 1065–1071. [Crossref], [Web of Science ®] , [Google Scholar]) with 40 younger children (7–8 years old), 40 older children (11–12 years old), and 40 adults. All participants learned the correct route through a maze, recalled the inherent landmarks, and drew a map of the maze. The results revealed equivalent age effects for these tasks in the real and the virtual world. In both conditions younger children needed more trials to learn the route and showed less configurational knowledge than older children and adults. Age group performance on landmark recollection did not differ in either the virtual or the real world maze. Except for the map drawing task performance was always worse in the virtual world condition. Because the developmental process was comparable in real and virtual environments, the results support the use of virtual environments for the research on developmental aspects of spatial knowledge.     

Voice recognition technology as a tool for behavioral research

Behavioral research often requires the acquisition and processing of large volumes of data. Most current techniques for recording behavior constrain the amount and type of data that can be measured. We developed and tested a system that uses voice recognition technology to collect data on the social interactions and singing patterns of cowbirds (Molothrus ater) living outdoors in a semi-natural environment. We spoke observation data into a wireless microphone that transmitted the data to a computer in the laboratory. After collection, the data were automatically checked for errors and then were entered into a database. Overall, the system performed at extremely high levels of accuracy Furthermore, owing to the removal of constraints on observers such as breaking visual contact with subjects and manual data entry into a database, we were able to increase the amount of data collected and to collect new measures of social interactions that have not been available to us in the past. We tested the system under the challenging circumstances of field observation, and it performed above our expectations. In a laboratory setting, if transmission difficulties are removed, voice recognition could be even more accurate. We recommend voice recognition as a powerful new tool for the variety of research fields in which measuring behavior is involved.     

Videotaped simulated families as a tool in family therapy outcome research

Twenty-two therapists who had treated 57 families in brief conjoint family therapy under supervision responded to a videotaped simulated family as if they were treating it. Their responses were audiotaped and coded on a system devised for this study. Positive relationships were found between the ratings of expertise based on the coding system, and independent ratings of the treated families' satisfaction with treatment and the status of the presenting symptoms 6 months after termination. Videotaped simulated families are potentially useful as standardizable methods of revealing individual differences in therapists for family therapy outcome research.     

Immersive virtual environment technology as a basic research tool in psychology

Immersive virtual environment (IVE) technology has great promise as a tool for basic experimental research in psychology. IVE technology gives participants the experience of being surrounded by the computer-synthesized environment. We begin with a discussion of the various devices needed to implement immersive virtual environments, including object manipulation and social interaction. We review the benefits and drawbacks associated with virtual environment technology, in comparison with more conventional ways of doing basic experimental research. We then consider a variety of examples of research using IVE technology in the areas of perception, spatial cognition, and social interaction.     

Pointing gestures as a cognitive tool in young children: experimental evidence

This article explores the possible cognitive function associated with pointing gestures from a Vygotskian perspective. In Study 1, 39 children who were 2-4 years of age were observed in a solitary condition while solving a mnemonic task with or without an explicit memory demand. A discriminant analysis showed that children used noncommunicative pointing gestures only in the task with an explicit memory demand. In Study 2, 39 children who were 4-6 years of age completed an attentional task with and without the possibility of pointing. An analysis of variance showed that only those children who spontaneously pointed to solve the first task performed significantly worse in a second condition where pointing was impossible. These results suggest that besides its social interactive functions, pointing may also subserve private cognitive functions for children.     

The computer as experimenter in social psychological research

The effects of familiarity and exposure paradigm on evaluative meaning were investigated in four experiments involving 161 Ss. A DEC PDP-10 computer linked to a VB10-C display screen for 1/0 assigned Ss to condition, presented instructions, tested Ss’ understanding of the instructions, generated and displayed stimuli in various frequencies, and obtained evaluative ratings of the stimuli. Problems encountered, Ss’ reactions, and current and possible use of the computer in social psychological research are discussed.     

Scientific LogAnalyzer: a web-based tool for analyses of server log files in psychological research.

Scientific LogAnalyzer is a platform-independent interactive Web service for the analysis of log files. Scientific LogAnalyzer offers several features not available in other log file analysis tools--for example, organizational criteria and computational algorithms suited to aid behavioral and social scientists. Scientific LogAnalyzer is highly flexible on the input side (unlimited types of log file formats), while strictly keeping a scientific output format. Features include (1) free definition of log file format, (2) searching and marking dependent on any combination of strings (necessary for identifying conditions in experiment data), (3) computation of response times, (4) detection of multiple sessions, (5) speedy analysis of large log files, (6) output in HTML and/or tab-delimited form, suitable for import into statistics software, and (7) a module for analyzing and visualizing drop-out. Several methodological features specifically needed in the analysis of data collected in Internet-based experiments have been implemented in the Web-based tool and are described in this article. A regression analysis with data from 44 log file analyses shows that the size of the log file and the domain name lookup are the two main factors determining the duration of an analysis. It is less than a minute for a standard experimental study with a 2 x 2 design, a dozen Web pages, and 48 participants (ca. 800 lines, including data from drop-outs). The current version of Scientific LogAnalyzer is freely available for small log files. Its Web address is http://genpsylab-logcrunsh.unizh.ch/.     

Virtual social environments as a tool for psychological assessment: dynamics of interaction with a virtual spouse

Computer games are advocated as a promising tool bridging the gap between the controllability of a lab experiment and the mundane realism of a field experiment. At the same time, many authors stress the importance of observing real behavior instead of asking participants about possible or intended behaviors. In this article, the authors introduce an online virtual social environment, which is inhabited by autonomous agents including the virtual spouse of the participant. Participants can freely explore the virtual world and interact with any other inhabitant, allowing the expression of spontaneous and unprompted behavior. The authors investigated the usefulness of this game for the assessment of interactions with a virtual spouse and their relations to intimacy and autonomy motivation as well as relationship satisfaction with the real-life partner. Both the intimacy motive and the satisfaction with the real-world relationship showed significant correlations with aggregated in-game behavior, which shows that some sort of transference between the real world and the virtual world took place. In addition, a process analysis of interaction quality revealed that relationship satisfaction and intimacy motive had different effects on the initial status and the time course of the interaction quality. Implications for psychological assessment using virtual social environments are discussed.     

Scientific LogAnalyzer: A Web-based tool for analyses of server log files in psychological research

Scientific LogAnalyzer is a platform-independent interactive Web service for the analysis of log files. Scientific LogAnalyzer offers several features not available in other log file analysis tools—for example, organizational criteria and computational algorithms suited to aid behavioral and social scientists. Scientific LogAnalyzer is highly flexible on the input side (unlimited types of log file formats), while strictly keeping a scientific output format. Features include (1) free definition of log file format, (2) searching and marking dependent on any combination of strings (necessary for identifying conditions in experiment data), (3) computation of response times, (4) detection of multiple sessions, (5) speedy analysis of large log files, (6) output in HTML and/or tab-delimited form, suitable for import into statistics software, and (7) a module for analyzing and visualizing drop-out. Several methodological features specifically needed in the analysis of data collected in Internet-based experiments have been implemented in the Web-based tool and are described in this article. A regression analysis with data from 44 log file analyses shows that the size of the log file and the domain name lookup are the two main factors determining the duration of an analysis. It is less than a minute for a standard experimental study with a 2 × 2 design, a dozen Web pages, and 48 participants (ca. 800 lines, including data from drop-outs). The current version of Scientific LogAnalyzer is freely available for small log files. Its Web address ishttp://genpsylab-logcrunsh.unizh.ch/.