Exploratory Factor Analysis: A Users’Guide

In 1978, Comrey wrote a guide to factor analysis in the Journal of Consulting and Clinical Psychology. This paper provides an update of the information given by Comrey in relation to exploratory factor analysis (EFA) for work and organizational psychologists, and particularly those involved with test development, interpretation and validation. In doing so, it offers a user's guide to contemporary methods and available techniques and introduces heuristics for dealing with problems of skew and kurtosis, social desirability response set, and factor naming.     

Imagery,concreteness, goodness,and familiarity ratings for 500 proverbs sampled from theOxford Dictionary of English Proverbs

Partly in order to facilitate research on the relation between some standard psychological variables, we gathered normative data on 500 proverbs sampled from theOxford Dictionary of English Proverbs (Wilson, 1970). The scales for which we gathered data are imagery, concreteness, goodness , and familiarity. These norms may be of value to researchers who wish to sample linguistic units larger than the word from a set that contains an extensive number of unfamiliar and familiar items. To illustrate the possible uses to which these data may be put, we presented a causal model of the relation between the four variables mentioned above.     

Contour: A hypermedia environment for teaching about subjective contours and other visual illusions

Contour is an interactive HyperCard stack for the Apple Macintosh computer, which presents users with a wealth of information (text, graphics, sound, and animation) concerning the history, theory, and methodology used in the research of a class of visual illusions calledsubjective contour illusions. The stack is divided into six sections (Introduction, Findings, Index, References, Map, and File Creator), which allow users to access differing types of information in several ways. As users navigate through the stack, they are presented with multimedia information that they can trace through author, theory, or type of illusion. The stack allows users to make notes to themselves on the information presented, to execute a literature search of the most relevant articles in the subjective contour literature, and to save them in text file for printing in a word processing program. The study of subjective contour illusions can be viewed as a microcosm of issues in the field of visual perception.     

Enumeration and simulation methods for 0–1 matrices with given marginals

Data in the form of zero-one matrices where conditioning on the marginals is relevant arise in diverse fields such as social networks and ecology; directed graphs constitute an important special case. An algorithm is given for the complete enumeration of the family of all zero-one matrices with given marginals and with a prespecified set of cells with structural zero entries. Complete enumeration is computationally feasible only for relatively small matrices. Therefore, a more useable Monte Carlo simulation method for the uniform distribution over this family is given, based on unequal probability sampling and ratio estimation. This method is applied to testing reciprocity of choices in social networks.The author wishes to thank Cajo ter Braak and John Birks for pointing out the relevance of this subject for ecology; and also Albert Verbeek and Ivo Molenaar, a referee, the Editor, and the Associate Editor for their comments. An earlier version of this paper was presented at the Stockholm Conference on Random Graphs and Applications (April 25–27, 1989), organized with financial support from the Swedish Council of Research in the Humanities and the Social Sciences.     

A method for utilizing a single port for multiple functions on the IBM PC or compatible system

Psychological experiments often require the control of a large number of output lines; unfortunately, the IBM PC provides only 32 8-bit ports through which communication may be implemented without risk of conflict with other software/hardware. A single 8-bit port may be used to control a large number of devices by adding appropriate decoder logic between the computer’s port and the devices that are to be controlled. Software and hardware are presented that illustrate this technique by controlling an 8-digit light-emitting diode display with a single IBM PC output port.     

Being good to look good: Self-reported moral character predicts moral double standards among reputation-seeking individuals

Moral character is widely expected to lead to moral judgements and practices. However, such expectations are often breached, especially when moral character is measured by self-report. We propose that because self-reported moral character partly reflects a desire to appear good, people who self-report a strong moral character will show moral harshness towards others and downplay their own transgressions—that is, they will show greater moral hypocrisy. This self-other discrepancy in moral judgements should be pronounced among individuals who are particularly motivated by reputation. Employing diverse methods including large-scale multination panel data (N = 34,323), and vignette and behavioural experiments (N = 700), four studies supported our proposition, showing that various indicators of moral character (Benevolence and Universalism values, justice sensitivity, and moral identity) predicted harsher judgements of others' more than own transgressions. Moreover, these double standards emerged particularly among individuals possessing strong reputation management motives. The findings highlight how reputational concerns moderate the link between moral character and moral judgement.     

Better Late than Never? The Relationship between Ratings of Attendance,Punctuality, and Overall Job Performance among Nursing Home Employees

This study examined the relationship between lateness, absenteeism, and overall job performance among nursing home employees. We addressed four issues: (a) agreement between subordinate and superior in their ratings, (b) the stability of rated lateness and rated absenteeism over 6 months, (c) the correlation between ratings of lateness and absenteeism assigned by the worker to himself or herself and the corresponding ratings from supervisors, and (d) the relationship of rated lateness and rated absenteeism to impressions of overall job performance. Neither attendance nor punctuality showed inter‐rater agreement between the worker and his/her supervisor on either of the two occasions. Ratings of attendance were not stable across time for either the subordinate (r=.16) or the supervisor (r=.04), but punctuality ratings showed moderate temporal stability over 6 months for both subordinate (r=.59) and supervisor (r=. 41) impressions. On the first administration of the rating form, attendance and punctuality were not significantly correlated to each other in either the workers' self‐ratings (r=.17) nor the supervisors' ratings of the workers (r=.08). On the second administration, however, these two facets were moderately correlated with each other in both workers' (r=.54) and supervisors' (r=. 39) impressions of employee behavior. Compared with attendance, punctuality was somewhat more highly correlated with impressions of overall job performance from the perspective of the worker herself/himself as well as the supervisor.     

Order‐constrained linear optimization

Despite the fact that data and theories in the social, behavioural, and health sciences are often represented on an ordinal scale, there has been relatively little emphasis on modelling ordinal properties. The most common analytic framework used in psychological science is the general linear model, whose variants include ANOVA, MANOVA, and ordinary linear regression. While these methods are designed to provide the best fit to the metric properties of the data, they are not designed to maximally model ordinal properties. In this paper, we develop an order‐constrained linear least‐squares (OCLO) optimization algorithm that maximizes the linear least‐squares fit to the data conditional on maximizing the ordinal fit based on Kendall's τ. The algorithm builds on the maximum rank correlation estimator (Han, 1987, Journal of Econometrics, 35, 303) and the general monotone model (Dougherty & Thomas, 2012, Psychological Review, 119, 321). Analyses of simulated data indicate that when modelling data that adhere to the assumptions of ordinary least squares, OCLO shows minimal bias, little increase in variance, and almost no loss in out‐of‐sample predictive accuracy. In contrast, under conditions in which data include a small number of extreme scores (fat‐tailed distributions), OCLO shows less bias and variance, and substantially better out‐of‐sample predictive accuracy, even when the outliers are removed. We show that the advantages of OCLO over ordinary least squares in predicting new observations hold across a variety of scenarios in which researchers must decide to retain or eliminate extreme scores when fitting data.