A PROPOSAL FOR A COMMON DATA EXCHANGE FORMAT FOR REPERTORY GRID DATA

Repertory grid interviews provide information about the psychological space of people in matrix-structured form, providing a basis for the statistical analysis of results. Today there are many software packages available for the elicitation and analysis of repertory grids, most of them with unique features. But access to this wealth of options is restricted because, at present, repertory grid programs store data in different formats. As a result, anyone who has tried to exchange data between programs knows that this is not an easy task, as the exchange typically requires tedious and error-prone reentering of the data. To enable direct and error-free data exchange between repertory grid programs, we propose a common data format for repertory grid software based on the Extended Markup Language (XML). It is important to note that users do not have to learn XML to take advantage of this common data format. Data sets of current analysis programs can be translated into XML by utilities. As a basis for further discussion we have developed sample applications and utilities that are based on this new data format.     

LABSIM: A data-driven simulation program for instruction in research design and statistics

LABSIM is a general-purpose FORTRAN program that simulates the collection of data from laboratory experiments. Student-specified parameters are employed in a multiple-regression model that allows manipulation or control of up to 10 potential independent variables. Variables may be discrete (up to eight levels), continuous, or range (e.g., IQ). Raw scores may be generated for up to six groups, optionally accompanied by statistical analyses for simple between- or within-subjects designs or for factorial designs, including mixed factorial designs. Seventeen models (content areas) are currently available. As contrasted with other simulation programs, LABSIM models are exceptionally easy to design and implement; no computer expertise is required. Summary data automatically collected by LABSIM indicate a high success rate and extensive use of the program beyond course requirements. The current version of LABSIM is available in either batch or interactive form. A newer version that allows the simultaneous manipulation of up to three independent variables will be available soon.     

More power to you: Simple power calculations for treatment effects with one degree of freedom

Although numerous computer programs for statistical power analysis are available, power is an under-used aspect of experimental analysis, perhaps because of the perceived difficulty of performing the necessary calculations or because existing computer software can be expensive or complicated to learn. For single-degree-of-freedom tests, however, it is possible to calculate power in a straightforward manner, using thet distribution. Because these calculations are based ont, they use easily understood and readily available quantities. These calculations can be performed with a desk calculator; we also present a simple-to-use program calledMorePower that will perform the necessary calculations. The straightforward nature of the calculations potentially will enable more researchers to consider issues of power when planning and reporting their experiments.     

A comparison of the LISREL and EQS programs for obtaining parameter estimates in confirmatory factor analysis studies

Recently, researchers in psychology have been provided with the techniques for confirming factor analytic structures. Many software packages are now available that provide the researcher with the ability to test factor structures and measurement models with some precision. However, the literature fails to provide the researcher with any comparison of the available software. This paper reviews the basic premise of confirmatory factor analysis and describes the use of two of the more popular software packages (e.g., LISREL and EQS) for obtaining parameter estimates. The two programs are then compared for similarity in estimates and ease of use.     

Analyzing individual differences in sentence processing performance using multilevel models

The use of multilevel models is increasingly common in the behavioral sciences for analyzing hierarchically structured data, including repeated measures data. These models are flexible and easily implemented via a variety of commercially available statistical software programs. We consider their application in the context of an eye-movement experiment testing readers' responses to a semantic plausibility manipulation in temporarily ambiguous sentences. Multilevel models were used to study the relationship between working memory capacity and the extent to which readers were disrupted by syntactic misanalysis. This represented a cross-level interaction between an individual difference measure and a sentence-level characteristic. We compare a multilevel modeling approach to a standard approach based on ANOVA.     

Problems with evaluation of courseware for instruction in psychology

Recent trends in courseware evaluation have stressed the importance of program characteristics ancillary to the learning process, such as the use of menus. Although attention to these aspects of programming may improve the appearance and ease of use of software, the primary consideration in the selection of instructional software is whether it can provide instructional content to the students who use it. This can best be determined by the instructor alone, who may often find it necessary to write programs to suit specific instructional needs. Such programs are in wide use and are often better than commercially available sets designed by professionals.     

SPSS and SAS programs for generalizability theory analyses

The identification and reduction of measurement errors is a major challenge in psychological testing. Most investigators rely solely on classical test theory for assessing reliability, whereas most experts have long recommended using generalizability theory instead. One reason for the common neglect of generalizability theory is the absence of analytic facilities for this purpose in popular statistical software packages. This article provides a brief introduction to generalizability theory, describes easy to use SPSS, SAS, and MATLAB programs for conducting the recommended analyses, and provides an illustrative example, using data (N= 329) for the Rosenberg Self-Esteem Scale. Program output includes variance components, relative and absolute errors and generalizability coefficients, coefficients for D studies, and graphs of D study results.     

Comparing standardized coefficients in structural equation modeling: a model reparameterization approach

We propose a two-stage method for comparing standardized coefficients in structural equation modeling (SEM). At stage 1, we transform the original model of interest into the standardized model by model reparameterization, so that the model parameters appearing in the standardized model are equivalent to the standardized parameters of the original model. At stage 2, we impose appropriate linear equality constraints on the standardized model and use a likelihood ratio test to make statistical inferences about the equality of standardized coefficients. Unlike other existing methods for comparing standardized coefficients, the proposed method does not require specific modeling features (e.g., specification of nonlinear constraints), which are available only in certain SEM software programs. Moreover, this method allows researchers to compare two or more standardized coefficients simultaneously in a standard and convenient way. Three real examples are given to illustrate the proposed method, using EQS, a popular SEM software program. Results show that the proposed method performs satisfactorily for testing the equality of standardized coefficients.     

BORES: Behavior observation recording and editing system

This paper describes the use of a Datamyte 900 solid state data collection system for observational research. Data editing and reformatting programs that organize the behavioral data into a consistent format for use with widely available statistical packages and edit the data for logical inconsistencies are discussed. Data collection using both the focal animal observation and group scanning, or scan-sample, techniques are amenable to this approach.     

PROCODER: A professional tape control,coding, and analysis system for behavioral research using videotape

PROCODER is a software system for observing and coding events that have been recorded on videotape. The system uses a personal-computer-based tape controller to control a VHS tape while observations are recorded. Frequencies of events, durations of events, and calculations of inter-observer agreement of events or intervals are included. Data can be output in ASCII format for use with other statistical programs. A sample study in which the system is used is described as well.     

Statistical analysis packages for the microcomputer: New technologies for industry

Major companies in the mainframe statistical software business have started producing powerful versions of their programs for microcomputers. Five of the leading microcomputer statistical packages are reviewed. A statistical software vendor directory is provided. These statistical packages can be used by properly trained personnel to make more reliable business decisions.     

SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients

Several procedures that use summary data to test hypotheses about Pearson correlations and ordinary least squares regression coefficients have been described in various books and articles. To our knowledge, however, no single resource describes all of the most common tests. Furthermore, many of these tests have not yet been implemented in popular statistical software packages such as SPSS and SAS. In this article, we describe all of the most common tests and provide SPSS and SAS programs to perform them. When they are applicable, our code also computes 100 × (1 ? α)% confidence intervals corresponding to the tests. For testing hypotheses about independent regression coefficients, we demonstrate one method that uses summary data and another that uses raw data (i.e., Potthoff analysis). When the raw data are available, the latter method is preferred, because use of summary data entails some loss of precision due to rounding.     

Simple,applied text parsing

Text parsing for use in linguistic or artificial intelligence research can often be ill-suited for use in other lines of investigation in which simple, problem-specific parsing techniques may be used. This paper describes the development of a simple text parser for use in a specific research setting. The resulting parsing programs are compact enough for easy use on most available m inland microcomputers, while still providing adequate results for some applications such as chunking text into small units for later presentation.     

A review of scientific visualization software for the Macintosh computer

Many programs are available for the Macintosh that provide advanced visualization tools. Some of the tools are individual applications, and some are part of mathematical packages. This paper reviews the capabilities, functionality, and ease of use of visualization tools within six software packages: Mathematica, Spyglass Transform/View, Spyglass Dicer, JMP, MacSpin, and SYSTAT.     

Bayesian Thurstonian models for ranking data using JAGS

A Thurstonian model for ranking data assumes that observed rankings are consistent with those of a set of underlying continuous variables. This model is appealing since it renders ranking data amenable to familiar models for continuous response variables—namely, linear regression models. To date, however, the use of Thurstonian models for ranking data has been very rare in practice. One reason for this may be that inferences based on these models require specialized technical methods. These methods have been developed to address computational challenges involved in these models but are not easy to implement without considerable technical expertise and are not widely available in software packages. To address this limitation, we show that Bayesian Thurstonian models for ranking data can be very easily implemented with the JAGS software package. We provide JAGS model files for Thurstonian ranking models for general use, discuss their implementation, and illustrate their use in analyses.     

Multinomial processing tree models: An implementation

Multinomial processing tree (MPT) models have been widely used by researchers in cognitive psychology. This paper introduces MBT.EXE, a computer program that makes MPT easy to use for researchers. MBT.EXE implements the statistical theory developed by Hu and Batchelder (1994). This user-friendly software can be used to construct MPT models and conduct statistical inferences, including point and interval estimation, hypothesis testing, and goodness of fit. Furthermore, this program can be used to examine the robustness of MPT models. Algorithms for parameter estimation, hypothesis testing, and Monte Carlo simulation are presented.     

Logistic regression

Logistic regression has probably been underutilized in clinical investigations of personality because of its relatively recent development (dictated by the need for computer programs to obtain maximum likelihood estimates), and the fact that use has been largely confined to the fields of biostatistics, epidemiology, and economics Its use should be given serious consideration when the outcome of interest is dichotomous (or polychotomous) in nature and the predictors of interest may be categorical or continuous. The logit transformation is quite tractable mathematically, and it embodies the notion of threshold, which may have relevance for many of the variables that are of interest to investigators in the field of personality. Furthermore, investigators with experience in multiple linear regression or contingency table analysis should have little trouble in transitioning to logistic regression. Logistic regression programs are readily available in the major statistical packages, all of which provide fairly standard output.     

Student statistics programs for the Macintosh

This paper reviews 15 statistics programs for the Macintosh. All are intended for student use, often in conjunction with a statistics course, and are available for under $100. Of the general-purpose programs, Data Desk and StatView offer the most appealing combination of features, Macintosh interface, and student-accessible manual. Minitab is also recommended, especially in situations where some students will be using Macs and others using PCs. In addition to the analysis-only programs, two other applications present interesting combinations of statistics and other features. DataSim offers outstanding data generation and experiment simulation along with very complete, and psychology-oriented, statistical analysis. HyperStat combines an entire statistics textbook in hypertext format with a complete data analysis package. Finally, for special situations where simple statistics are all that are required, InStat is recommended because of its tutorial features and very simple interface.