bluuebunny/crossref_metadata_2025_split huggingface dataset:
Who Belongs in the Family?
Authors: Thorndike Robert L. 
Published: January 2006

I was sitting before my TV set, a while back, watching Captain Video and pondering the organizational problems of psychologists, psychometricians, psychodiagnosticians, psycho-somatists, psychosomnabulists, and psychoceramics (crack-pots to you). Wondering what I might do, in my small way, to help out, I decided to enlist Captain Video's help to bring me from the Black Planet that superogalactian hypermetrician, Dr. Idnozs Hcahscror-Tenib, cosmos-famous discoverer of Serutan.Why delay? The Galaxy was on its way. and in half a light year Dr. Tenib was at my side prepared to devote his gargantuan talents to the task.Seeing no point in confusing the good doctor by trying to describe to him the present administrative hodgepodge, I said, “Doctor, let's start from scratch. I want you to find out for me how these good people who are present at the annual meeting of the APA structure themselves? What families are represented? How many, or better, how few? And who belongs to each?”
A Comparison of the Thurstone Method of Multiple Factors with the Hotelling Method of Principal Components
Authors: McCloy C. H. , Metheny Eleanor , Knott Virginia 
Published: January 2006

The factors found by the Hotelling method of principal components present the same necessity for rotation as those found by the Thurstone method of multiple factors.The Thurstone method of multiple factors is here found superior to the Hotelling method of principal components, and is suggested as the method of choice for all problems requiring the determination of elemental components from a group of related variables, since it was found on every point of comparison that, when applied to a correlation matrix of unknown communalities, the Thurstone method was more accurate than the Hotelling method, and also required much less time.
A Latent Structure for the Simplex
Authors: Gibson W. A. 
Published: January 2006

A perfect Guttman scale generates a perfect Guttman simplex. This is capitalized on to get a transformation useful in a kind of non-linear factor analysis applicable to empirical correlations resembling but not necessarily conforming to a perfect simplex.A Gramian factorization—square, symmetric, possibly of low rank but with no negative characteristic roots—of empirical correlations is transformed into latent information about nonlinear regressions of tests on a single underlying dimension. Class intervals on that continuum are defined in terms of their standard score profiles on the tests. Each class interval exhibits “local independence,” so that individual members may vary but may not covary in their profiles.The method is flexible as to choice of diagonals, fitted rank, and exact shape of resulting non-linear regressions, so long as those regressions are essentially monotonic and have a proper progression of curvatures. Construction of the needed transformation for data of any size is outlined, and the problem of metric for the latent continuum is given several solutions.An empirical example is provided with full and low rank solutions involving different diagonal choices.
A Comparison of Four Methods of Constructing Factor Scores
Authors: McDonald Roderick P. , Burr E. J. 
Published: January 2006

Four least-squares methods for constructing factor scores have been described in the literature. The formal properties of these scores are developed, and they are compared in terms of four generally desirable properties of constructed factor scores. In particular, it is shown that two of the methods yield scores that are conditionally unbiassed, and univocal in the sense of Guilford and Michael, though not orthogonal, while one of the other methods yields orthogonal scores.It is shown that constructed factor scores cannot be simultaneously univocal and orthogonal, unless we choose the special basis in factor space given by Canonical Factor Analysis.The general problem of choosing between the methods is discussed, on the basis of the theoretical relations obtained.
The Mystery of the Missing Corpus
Authors: Mosteller Frederick 
Published: January 2006

Until recently, two happy vices stole a good share of my time. Of those burglars, the first was the reading of science-fiction stories, a source of entertainment that I discovered at the age of eight, but kept manfully in check because I never stumbled upon a continuous supply. Of late, however, real life has mocked this branch of fiction so closely that I now miss in it the elements of fantasy and escape that used to delight. You might say that, being crowded out by the real thing, we armchair spacemen face technological obsolescence.My second time-stealer has been “Murder for Pleasure,” as Howard Haycraft calls the detective story. Fortunately, I did not discover its existence until my twenties, so I had a little time for study before then. The great value of the detective story, quite apart from its educational aspects– after all, where else can one gather so much data about useful everyday questions such as tasteless poisons, homicidal law, and criminal psychology–is the fine training one gets in applied psychology and in the logic of everyday life.
An Approach to Mental Test Theory
Authors: Lord Frederic M. 
Published: January 2006

It currently seems to me that the heart of mental test theory is the concept of true score.The trouble starts as soon as it is realized that the actual test score obtained by a particular individual might just as well have been some numerical value other than the one actually observed. The individual examinee might have guessed differently, might have been less nervous, or might have slept better the night before. The testing conditions might have been different–lighting, facilities for use of paper and pencil, presence or absence of distraction. Finally, any one of many different but equally appropriate psychological tests might have been constructed and administered.Mental test theory must deal with all these kinds of disturbing influences. However, we are not really interested in each of the different test scores that an examinee might obtain under all sorts of conditions. We are interested in something approximated by these scores. This something may be called the true score on the test.
The Estimation of True Score Variance and Error Variance in the Classical Test Theory Model
Authors: Jackson Paul H. 
Published: January 2006

The use of one-way analysis of variance tables for obtaining unbiased estimates of true score variance and error score variance in the classical test theory model is discussed. Attention is paid to both balanced (equal numbers of observations on each person) and unbalanced designs, and estimates provided for both homoscedastic (common error variance for all persons) and heteroscedastic cases.It is noted that optimality properties (minimum variance) can be claimed for estimates derived from analysis of variance tables only in the balanced, homoscedastic case, and that there they are essentially a reflection of the symmetry inherent in the situation. Estimates which might be preferable in other cases are discussed. An example is given where a natural analysis of variance table leads to estimates which cannot be derived from the set of statistics which is sufficient under normality assumptions. Reference is made to Bayesian studies which shed light on the difficulties encountered.
Estimating the Weights for Multiple Attributes in a Composite Criterion Using Pairwise Judgments
Authors: Srinivasan V. , Shocker Allan D. 
Published: January 2006

This paper presents a new methodology for estimating the weights or saliences of subcriteria (attributes) in a composite criterion measure. The inputs to the estimation procedure consist of (i) a set of stimuli or objects with each stimulus defined by its subcriteria profile (set of attribute values) and (ii) the set of paired comparison dominance (e.g., preference) judgments on the stimuli made by a single judge (expert) in terms of the global criterion. A criterion of fit is developed and its optimization via linear programming is illustrated with an example. The procedure is generalized to estimate a common set of weights when the pairwise judgments on the stimuli are made by more than one judge. The procedure is computationally efficient and has been applied in developing a composite criterion of managerial success yielding high concurrent validity.This methodology can also be used to perform ordinal multiple regression—i.e., multiple regression with an ordinally scaled dependent variable and a set of intervally scaled predictor variables. The approach is further extended to “internal analysis” (unfolding) using the vector model of preference and to the additive model of “conjoint measurement.”
Simultaneous Testing of McNemar’s Problem for Several Populations
Authors: Hamdan M. A. , Pirie W. R. , Arnold J. C. 
Published: January 2006

McNemar’s problem concerns the hypothesis of equal probabilities for the unlike pairs of correlated binary variables.We consider four different extensions to this problem, each for testing simultaneous equality of proportions of unlike pairs in c independent populations of correlated binary variables, but each under different assumptions and/or additional hypotheses. For each extension both the likelihood ratio test and the goodness-of-fit chi-square test are given. When c = 1, all cases reduce to McNemar’s problem. For c ≥ 2, however, the tests are quite different, depending on exactly how the hypothesis and alternatives of McNemar are extended.An example illustrates how widely the results may differ, depending on which extended framework is appropriate.
The Effects of Random Error and Subsampling of Dimensions on Recovery of Configurations by Non-Metric Multidimensional Scaling
Authors: Cohen Harvey S. , Jones Lawrence E. 
Published: January 2006

Similarity judgments of three-dimensional stimuli were simulated, with the hypothetical subject attending to only some dimensions of stimulus variation (i.e., “subsampling”) on each trial. Recovery of the stimulus configuration by non-metric multidimensional scaling was investigated as a function of subsampling, the amount of random error in the judgments, and the number of stimuli being scaled.It was found that: (1) dimensions to which the subject often attends were well recovered even when dimensions seldom attended to were not, and (2) measures of recovery based on interpoint distances were inadequate. Several previous Monte Carlo studies were evaluated in light of the results.
Comment on ‘The Estimation of Proportions in M Groups’
Authors: Leonard Tom 
Published: January 2006

Novick, Lewis and Jackson [1973] propose an interesting Bayesian method for the simultaneous estimation of the probabilities of several binomial distributions. They utilise arc-sine transformations and normal approximations and then refer to the normal theory method of Lindley [1972] which utilises the novel concept of ‘exchangeability’. The posterior estimates for the probabilities shrink the usual proportions towards a central value based on collateral information, and should provide substantial improvements.The purpose of our comment is to discuss the relative merits of other methods which are available whenever exchangeability of the probabilities is appropriate, The main methods are(1) The Logistic Approach: Leonard [1972a] uses logistic transformations of the parameters and proposes a simple exact method of estimation which is valid even if some of the cell frequencies are zero. This is because the logistic transformations are to the parameters and not to the observed frequencies. The exact posterior modal estimates replace the usual observed logits in such a way that difficulties involving zeros are removed. The are-sine approximation is of course inaccurate in such cases.
Latent Trait Models and Dichotomization of Graded Responses
Authors: Jansen Paul G. W. , Roskam Edward E. 
Published: January 2006

This paper discusses the compatibility of the polychotomous Rasch model with dichotomization of the response continuum. It is argued that in the case of graded responses, the response categories presented to the subject are essentially an arbitrary polychotomization of the response continuum, ranging for example from total rejection or disagreement to total acceptance or agreement of an item or statement. Because of this arbitrariness, the measurement outcome should be independent of the specific polychotomization applied, for example, presenting a specific multicategory response format should not affect the measurement outcome. When such is the case, the original polychotomous model is called “compatible” with dichotomization.A distinction is made between polychotomization or dichotomization “before the fact,” that is, in constructing the response format, and polycho- or dichotomization “after the fact,” for example in dichotomizing existing graded response data.It is shown that, at least in case of dichotomization after-the-fact, the polychotomous Rasch model is not compatible with dichotomization, unless a rather special condition of the model parameters is met. Insofar as it may be argued that dichotomization before the fact is not essentially different from dichotomization after the fact, the value of the unidimensional polychotomous Rasch model is consequently questionable. The impact of our conclusion on related models is also discussed.
A Quasi-Nonmetric Method for Multidimensional Scaling Via an Extended Euclidean Model
Authors: Winsberg Suzanne , Douglas Carroll J. 
Published: January 2006

An Extended Two-Way Euclidean Multidimensional Scaling (MDS) model which assumes both common and specific dimensions is described and contrasted with the “standard” (Two-Way) MDS model. In this Extended Two-Way Euclidean model the n stimuli (or other objects) are assumed to be characterized by coordinates on R common dimensions. In addition each stimulus is assumed to have a dimension (or dimensions) specific to it alone. The overall distance between object i and object j then is defined as the square root of the ordinary squared Euclidean distance plus terms denoting the specificity of each object. The specificity, sj, can be thought of as the sum of squares of coordinates on those dimensions specific to object i, all of which have nonzero coordinates only for object i. (In practice, we may think of there being just one such specific dimension for each object, as this situation is mathematically indistinguishable from the case in which there are more than one.)We further assume that δij =F(dij) +eij where δij is the proximity value (e.g., similarity or dissimilarity) of objects i and j, dij is the extended Euclidean distance defined above, while eij is an error term assumed i.i.d. N(0, σ2). F is assumed either a linear function (in the metric case) or a monotone spline of specified form (in the quasi-nonmetric case). A numerical procedure alternating a modified Newton-Raphson algorithm with an algorithm for fitting an optimal monotone spline (or linear function) is used to secure maximum likelihood estimates of the paramstatistics) can be used to test hypotheses about the number of common dimensions, and/or the existence of specific (in addition to R common) dimensions.This approach is illustrated with applications to both artificial data and real data on judged similarity of nations.
Logit Models and Logistic Regressions for Social Networks: I. An Introduction to Markov Graphs and p
Authors: Wasserman Stanley , Pattison Philippa 
Published: January 2006

Spanning nearly sixty years of research, statistical network analysis has passed through (at least) two generations of researchers and models. Beginning in the late 1930's, the first generation of research dealt with the distribution of various network statistics, under a variety of null models. The second generation, beginning in the 1970's and continuing into the 1980's, concerned models, usually for probabilities of relational ties among very small subsets of actors, in which various simple substantive tendencies were parameterized. Much of this research, most of which utilized log linear models, first appeared in applied statistics publications.But recent developments in social network analysis promise to bring us into a third generation. The Markov random graphs of Frank and Strauss (1986) and especially the estimation strategy for these models developed by Strauss and Ikeda (1990; described in brief in Strauss, 1992), are very recent and promising contributions to this field. Here we describe a large class of models that can be used to investigate structure in social networks. These models include several generalizations of stochastic blockmodels, as well as models parameterizing global tendencies towards clustering and centralization, and individual differences in such tendencies. Approximate model fits are obtained using Strauss and Ikeda's (1990) estimation strategy.In this paper we describe and extend these models and demonstrate how they can be used to address a variety of substantive questions about structure in social networks.
Stochastic Ordering Using the Latent Trait and the Sum Score in Polytomous IRT Models
Authors: Hemker Bas T. , Sijtsma Klaas , Molenaar Ivo W. , Junker Brian W. 
Published: January 2006

In a restricted class of item response theory (IRT) models for polytomous items the unweighted total score has monotone likelihood ratio (MLR) in the latent trait ϑ. MLR implies two stochastic ordering (SO) properties, denoted SOM and SOL, which are both weaker than MLR, but very useful for measurement with IRT models. Therefore, these SO properties are investigated for a broader class of IRT models for which the MLR property does not hold.In this study, first a taxonomy is given for nonparametric and parametric models for polytomous items based on the hierarchical relationship between the models. Next, it is investigated which models have the MLR property and which have the SO properties. It is shown that all models in the taxonomy possess the SOM property. However, counterexamples illustrate that many models do not, in general, possess the even more useful SOL property.
Heterogeneous Factor Analysis Models: A Bayesian Approach
Authors: Ansari Asim , Jedidi Kamel , Dube Laurette 
Published: January 2006

Multilevel factor analysis models are widely used in the social sciences to account for heterogeneity in mean structures. In this paper we extend previous work on multilevel models to account for general forms of heterogeneity in confirmatory factor analysis models. We specify various models of mean and covariance heterogeneity in confirmatory factor analysis and develop Markov Chain Monte Carlo (MCMC) procedures to perform Bayesian inference, model checking, and model comparison.We test our methodology using synthetic data and data from a consumption emotion study. The results from synthetic data show that our Bayesian model perform well in recovering the true parameters and selecting the appropriate model. More importantly, the results clearly illustrate the consequences of ignoring heterogeneity. Specifically, we find that ignoring heterogeneity can lead to sign reversals of the factor covariances, inflation of factor variances and underappreciation of uncertainty in parameter estimates. The results from the emotion study show that subjects vary both in means and covariances. Thus traditional psychometric methods cannot fully capture the heterogeneity in our data.
A Latent-Trait Based Reliability Estimate and Upper Bound
Authors: Nicewander W. Alan 
Published: January 2006

An estimate and an upper-bound estimate for the reliability of a test composed of binary items is derived from the multidimensional latent trait theory proposed by Bock and Aitkin (1981). The estimate derived here is similar to internal consistency estimates (such as coefficient alpha) in that it is a function of the correlations among test items; however, it is not a lowerbound estimate as are all other similar methods.An upper bound to reliability that is less than unity does not exist in the context of classical test theory. The richer theoretical background provided by Bock and Aitkin's latent trait model has allowed the development of an index (called δ here) that is always greater-than or equal-to the reliability coefficient for a test (and is less-than or equal-to one). The upper bound estimate of reliability has practical uses—one of which makes use of the “greatest lower bound”.
Dietary rescue of fumble—a Drosophila model for pantothenate‐kinase‐associated neurodegeneration
Authors: Yang Y. , Wu Z. , Kuo Y. M. , Zhou B. 
Published: January 2006

SummaryHallervorden–Spatz syndrome (HSS) is a devastating neurological disease, characterized by iron accumulation in the globus pallidus in the basal ganglia. Most HSS cases are caused by mutations in one of the four human pantothenate kinases (PANK2). This PANK2‐caused subgroup of HSS is sometimes referred as PKAN (pantothenate‐kinase‐associated neurodegeneration). No effective treatment for PKAN or HSS is currently available. fumble, a Drosophila mutant that carries a mutation in Drosophila Pank, has many features similar to those of PKAN patients. In this study, we used fumble as a model to evaluate various compounds or nutritional products for their possible therapeutic efficacy. While no product was found to dramatically improve the symptoms, GKE (containing Ginkgo biloba extract and flavone) and vitamin E showed statistically significant beneficial effects. Our studies indicate that pantothenate is of limited value in alleviating fumble phenotypes and also suggest that some compounds might have deleterious effects.
Interspecies pharmacokinetics and in vitro metabolism of SQ109
Authors: Jia Lee , Noker Patricia E , Coward Lori , Gorman Gregory S , Protopopova Marina , Tomaszewski Joseph E 
Published: January 2006

This study aimed at characterizing the interspecies absorption, distribution, metabolism and elimination (ADME) profile of N‐geranyl‐N′‐(2‐adamantyl)ethane‐1,2‐diamine (SQ109), a new diamine‐based antitubercular drug.
Single doses of SQ109 were administered (intravenously (i.v.) and per os (p.o.)) to rodents and dogs and blood samples were analyzed by liquid chromatography tandem mass spectrometry (LC/MS/MS). Based on i.v. equivalent body surface area dose, the terminal half‐life (t1/2) of SQ109 in dogs was longer than that in rodents, reflected by a larger volume of distribution (Vss) and a higher clearance rate of SQ109 in dogs, compared to that in rodents. The oral bioavailability of SQ109 in dogs, rats and mice were 2.4–5, 12 and 3.8%, respectively.
After oral administration of [14C]SQ109 to rats, the highest level of radioactivity was in the liver, followed by the lung, spleen and kidney. Tissue‐to‐blood ratios of [14C]SQ109 were greater than 1. Fecal elimination of [14C]SQ109 accounted for 22.2% of the total dose of [14C]SQ109, while urinary excretion accounted for only 5.6%. The binding of [14C]SQ109 (0.1–2.5 μg ml−1) to plasma proteins varied from 6 to 23% depending on the species (human, mouse, rat and dog).
SQ109 was metabolized by rat, mouse, dog and human liver microsomes, resulting in 22.8, 48.4, 50.8 or 58.3%, respectively, of SQ109 remaining after a 10‐min incubation at 37°C. The predominant metabolites in the human liver microsomes gave intense ion signals at 195, 347 and 363m/z, suggesting the oxidation, epoxidation and N‐dealkylation of SQ109. P450 reaction phenotyping using recombinant cDNA‐expressed human CYPs in conjunction with specific CYP inhibitors indicated that CYP2D6 and CYP2C19 were the predominant CYPs involved in SQ109 metabolism.

British Journal of Pharmacology (2006) 147, 476–485. doi:10.1038/sj.bjp.0706650