On structural models for analyzing change

The recommendation to base the analysis of multi-wave data upon explicit models for change is advocated. Several univariate and multivariate models are described, which emerge from an interaction between the classical test theory and the structural equation modeling approach. The resulting structural models for analyzing change reflect in some of their parameters substantively interesting aspects of intra- and interindividual change in follow-up studies. The models are viewed as an alternative to an ANOVA-based analysis of longitudinal data, and are illustrated on data from a cognitive intervention study of old adults (Bakes et al , 1986). The approach presents a useful means of analyzing change over time, and is applicable for purposes of (latent) growth curve analysis when analysis of variance assumptions are violated (e.g., Schaie & Hertzog, 1982; Morrison, 1976).     

Using Brief Experimental Analysis to Select Oral Reading Interventions: An Investigation of Treatment Utility

This study examined the treatment utility of brief experimental analysis for selecting skill-based oral reading interventions that targeted acquisition and fluency. Two second and one third grade student served as participants. The potentially most and least effective instructional packages identified from the brief experimental analysis for each student were alternated during an extended analysis phase. The instructional components that were compared were based on an ease of implementation hierarchy, with the brief experimental analysis used to select the hypothesized most effective instructional package for oral reading. Visual analysis of extended analysis data revealed that the hypothesized most effective combination of instructional components identified from the brief analysis produced greater initial gains in reading for two children (i.e., over 29 and 21 intervention days) and greater gains in reading throughout the extended analysis phase for the third child. Thus, the investigation provided preliminary evidence for the treatment utility of using brief experimental analysis to select effective and efficient oral reading instructional interventions. Implications, limitations, and future research topics are discussed.     

Investigation of psycho-physiological interactions between patient and therapist during a psychodynamic therapy and their relation to speech using in terms of entropy analysis using a neural network approach

In the present contribution we investigate in an exemplary single-case study the behavior of psycho-physiological variables in psychotherapy sessions. The values are measured continously during a single session at the same time for both patient and therapist. The analysis of the data is done using an artificial neural network approach for non-linear principal component analysis and faithful data representation/visualization and compression required for subsequent process analysis. The used network (growing self-organizing map, GSOM) thereby uses a kernel smoothing for improved data density estimation. In this way, we are able to generate an entropy model of psycho-physiological variability detecting emotionally instable phases during the therapy process. We relate our finding to results obtained by speech analysis of the therapy sessions according to the cycle model invented by Mergenthaler. Thus, we get preliminary suggestions how psycho-physiological reactions are related to the therapeutic process.     

Analysis of Effect for Single-Case Design Research

Single-case design (SCD) research is an experimental approach for analysis of an effect between an independent variable and dependent variable. Traditionally, analysis of effect for SCD has relied on visual analysis, an approach whereby a trained observer analyzes a visual display of the data. Recent advances in statistical approaches have been forwarded for SCD research in the literature to assist in the interpretation of intervention effects. This review outlines the logic of SCD and describes the varied approaches for the analysis of effect in SCD research.     

Canonical analysis of two convex polyhedral cones and applications

Canonical analysis of two convex polyhedral cones consists in looking for two vectors (one in each cone) whose square cosine is a maximum. This paper presents new results about the properties of the optimal solution to this problem, and also discusses in detail the convergence of an alternating least squares algorithm. The set of scalings of an ordinal variable is a convex polyhedral cone, which thus plays an important role in optimal scaling methods for the analysis of ordinal data. Monotone analysis of variance, and correspondence analysis subject to an ordinal constraint on one of the factors are both canonical analyses of a convex polyhedral cone and a subspace. Optimal multiple regression of a dependent ordinal variable on a set of independent ordinal variables is a canonical analysis of two convex polyhedral cones as long as the signs of the regression coefficients are given. We discuss these three situations and illustrate them by examples.     

Effect size estimates: current use, calculations, and interpretation

The Publication Manual of the American Psychological Association (American Psychological Association, 2001, American Psychological Association, 2010) calls for the reporting of effect sizes and their confidence intervals. Estimates of effect size are useful for determining the practical or theoretical importance of an effect, the relative contributions of factors, and the power of an analysis. We surveyed articles published in 2009 and 2010 in the Journal of Experimental Psychology: General, noting the statistical analyses reported and the associated reporting of effect size estimates. Effect sizes were reported for fewer than half of the analyses; no article reported a confidence interval for an effect size. The most often reported analysis was analysis of variance, and almost half of these reports were not accompanied by effect sizes. Partial η2 was the most commonly reported effect size estimate for analysis of variance. For t tests, 2/3 of the articles did not report an associated effect size estimate; Cohen's d was the most often reported. We provide a straightforward guide to understanding, selecting, calculating, and interpreting effect sizes for many types of data and to methods for calculating effect size confidence intervals and power analysis.     

Embodied Experience in Educational Practice and Research

The intention of this article is to make an educational analysis of Merleau-Ponty??s theory of experience in order to see what it implicates for educational practice as well as educational research. In this way, we can attain an understanding what embodied experience might mean both in schools and other educational settings and in researching educational activities. The analysis will take its point of departure in Merleau-Ponty??s analysis and criticism of empiricist and neokantian theories of experience. This will be followed up by an introduction of some central concepts in Merleau-Ponty??s own understanding of experience with emphasis on their relevance for educational analysis. This way of presenting the theory of embodied experience has the advantage of being able to indicate the difference it makes in the field of theories of experience.     

平行分析在探索性因素分析中的应用

平行分析是探索性因素分析中用来确定所保留的凶子个数的一种方法。探索性因素分析中常用的确定因子个数的方法有特征值大于1准则和碎石图,但这两种方法又各有不足。平行分析则为探索性因素分析中所保留因子个数的确定提供了另一种新思路。本文详细介绍了平行分析的步骤、潜在逻辑以及进行平行分析所用的软件,并通过实例来说明其在探索性因素分析中如何应用。     

DataToText: A Consumer-Oriented Approach to Data Analysis

DataToText is a project developed where the user communicates the relevant information for an analysis and DataToText computer routine produces text output that describes in words, tables, and figures the results from the analyses. Two extended examples are given, one an example of a moderator analysis and the other an example of a dyadic data analysis. The advantages and disadvantages of DataToText are discussed in terms of the statement of the problem, the steps in the analysis, and understanding the meaning of the results. Also discussed is the potential role of DataToText in pedagogy. Although there are some clear deficiencies in a DataToText analysis, it is argued that, more often than not, DataToText will lead to better analyses. Finally, a call is made for methodologists to become more consumer oriented by providing researchers with tools to facilitate the use of methodological developments.     

THE FUTILITY OF UTILITY ANALYSIS REVISITED: WHEN EVEN AN EXPERT FAILS

The effect of utility analysis on managerial decisions regarding the use of a valid selection test was investigated. Experienced managers ( n = 41) were randomly assigned to one of three conditions. The control condition contained written advice to adopt new selection procedures from a hypothetical psychologist that included an explanation of validation procedures. The second condition contained the same written information and advice as the control condition plus written support of that advice from a hypothetical trusted adviser. The third condition contained all the material that was presented in the control condition plus a written explanation of utility analysis, an actual utility analysis showing that large financial benefits would flow from using the proposed procedures, and a video-taped presentation from an expert on utility analysis where the logic underlying utility analysis and its benefits were explained. The expert was then presented live to the audience to address any questions that might have arisen from the utility analysis or the video. An ANOVA revealed that the presentation of a positive utility analysis reduced support for implementing a valid selection procedure, even though the logic and merits of utility analysis as a decision-making tool were described by an internationally recognized authority.     

Introduction to two-dimensional Fourier analysis

The application of two-dimensional Fourier analysis provides new avenues for research in visual perception. This tutorial serves as an introduction to some of the methods used in two-dimensional Fourier analysis and an introduction to two-dimensional image processing in general.     

Metametaphysics and Substance: Two Case Studies

This paper examines an often-ignored aspect of the evaluation of metaphysical analyses, namely, their ontological commitments. Such evaluations are part of metaphysical methodology, and reflection on this methodology is itself part of metametaphysics. I will develop a theory for assessing what these commitments are, and then I will apply it to an important historical and an important contemporary metaphysical analysis of the concept of an individual substance (i.e., an object, or thing). I claim that in evaluating metaphysical analyses, we should not only rule out counterexamples, but also compare them with respect to their ontological commitments, and we should hold that if they are comparable in other respects, then an analysis with fewer such commitments is preferable to one with more (There is, of course, a connection between counterexamples and ontological commitments. If the existence or possible existence of something one is committed to the existence or possible existence of is incompatible with an analysis, then one should reject that analysis as inadequate to the data. On the other hand, if one is uncertain about the existence or possible existence of something that is incompatible with an analysis, then while this does not refute the analysis for one, it raises doubts about it. The fewer such doubts are raised by an analysis, the better it is.).     

Analytic preparation: the creation of an analytic climate with patients not yet in analysis

The art and science of beginning an analysis has a life of its own and can be considered in many ways quite apart from its later stages. An incremental path forward is smoothed for patients who are not yet prepared to analyze, and builds eventually into something readily recognizable as an analysis. The term analytic preparation refers to this set of processes. Early on, the analyst is concerned less with facilitating an early replica of an idealized analysis than with facilitating the mutual adaptation of patient and analyst as they begin to negotiate a "thought community." Since analytic preparation is not an entity, it does not neatly overlap in real time with the opening phase as usually described, does not have a discrete beginning or end, and does not abruptly shift mid-stream into analysis proper. Some relations between analytic preparation, analytic interaction, and the interpretation of transference are examined.     

Cultural narratives and the succession scenario: Slumdog Millionaire and other popular films and fictions

An approach to the analysis of cultural narratives is proposed drawing inspiration from Lévi-Strauss's analysis of myths as fantasied resolutions of conflicts and contradictions in culture and of typical dilemmas of human life. An example of such an analysis revolves around contradictions in the Western cultural construction of the succession of generations. The logic of the structural analysis of cultural representations is explicated, the schema of the succession scenario is laid out, and the conflicts that generate it are identified. The movie Slumdog Millionaire is examined in some detail as an illustration of the succession scenario at work, and a comparative analysis shows how the same underlying schema accounts for otherwise obscure aspects of comparable contemporary popular narratives including Harry Potter, The Lion King and Star Wars.     

Time scores and factor analysis

The assumption of specific operation times leads to equations similar to those which are the basis for a factor analysis but in which the time scores replace item scores. An analysis of time scores is shown to lead to results equivalent, in a first approximation, to those obtained from an analysis of item scores. It is suggested that by modifying the factor technique it may be possible to use additional information to check with the results from an analysis.