A family of chance-corrected association coefficients for metric scales

A chance-corrected version of the family of association coefficients for metric scales proposed by Zegers and ten Berge is presented. It is shown that a matrix with chance-corrected coefficients between a number of variables is Gramian. The members of the chance-corrected family are shown to be partially ordered. The author is obliged to Jos ten Berge for helpful comments.     

The effect of the two-chair dialogue intervention on self-compassion - adding an emotional evocative component to a basic Rogerian condition

Objective

How people relate to themselves when facing distress or failure influences general psychological well-being and vulnerability to psychological disorders. The aim of the present study was to explore the effect of an emotionally evocative intervention on self-compassion.

Methods

The data were retrieved from a larger study of Emotion-Focused Therapy (EFT) utilising a multiple baseline design comparing two treatment phases. The baseline phase consisted of 5, 7 or 9 therapy sessions where the therapist solely adhered to Rogerian relational conditions, as prescribed in EFT. A two-chair dialogue intervention was then added for five sessions. The sample consisted of 18 self-critical clients with clinically significant symptoms of depression and/or anxiety. The “Self-Compassion Scale” (SCS) was administered pre, mid and post therapy.

Results

The baseline phase did not lead to significant changes in self-compassion. However, the addition of the two-chair dialogue was associated with a significant increase in self-compassion. This increase was due to reductions in the negative subscales, especially the isolation subscale.

Conclusion

The emotionally evocative two-chair dialogue was associated with a significant change in self-to-self relating, compared to relational conditions alone. The two-chair dialogue, thus, seems to be a promising intervention for promoting healthier self-to-self relating.     

Penalized optimal scaling for ordinal variables with an application to international classification of functioning core sets

Ordinal data occur frequently in the social sciences. When applying principal component analysis (PCA), however, those data are often treated as numeric, implying linear relationships between the variables at hand; alternatively, non-linear PCA is applied where the obtained quantifications are sometimes hard to interpret. Non-linear PCA for categorical data, also called optimal scoring/scaling, constructs new variables by assigning numerical values to categories such that the proportion of variance in those new variables that is explained by a predefined number of principal components (PCs) is maximized. We propose a penalized version of non-linear PCA for ordinal variables that is a smoothed intermediate between standard PCA on category labels and non-linear PCA as used so far. The new approach is by no means limited to monotonic effects and offers both better interpretability of the non-linear transformation of the category labels and better performance on validation data than unpenalized non-linear PCA and/or standard linear PCA. In particular, an application of penalized optimal scaling to ordinal data as given with the International Classification of Functioning, Disability and Health (ICF) is provided.     

A generalized family of coefficients of relational agreement for numerical scales

A family of coefficients of relational agreement for numerical scales is proposed. The theory is a generalization to multiple judges of the Zegers and ten Berge theory of association coefficients for two variables and is based on the premise that the choice of a coefficient depends on the scale type of the variables, defined by the class of admissible transformations. Coefficients of relational agreement that denote agreement with respect to empirically meaningful relationships are derived for absolute, ratio, interval, and additive scales. The proposed theory is compared to intraclass correlation, and it is shown that the coefficient of additivity is identical to one measure of intraclass correlation.The author thanks the Editor and anonymous reviewers for helpful suggestions.     

Some properties of estimated scale invariant covariance structures

Scale invariance is a property shared by many covariance structure models employed in practice. An example is provided by the well-known LISREL model subject only to classical normalizations and zero constraints on the parameters. It is shown that scale invariance implies that the estimated covariannce matrix must satisfy certain equations, and the nature of these equations depends on the fitting function used. In this context, the paper considers two classes of fitting functions: weighted least squares and the class of functions proposed by Swain.Constructive comments by the referees are greatly appreciated. The author gratefully acknowledges Michael Browne's interest in his work.     

Separability of item and person parameters in response time models

This paper discusses two forms of separability of item and person parameters in the context of response time (RT) models. The first is separate sufficiency: the existence of sufficient statistics for the item (person) parameters that do not depend on the person (item) parameters. The second is ranking independence: the likelihood of the item (person) ranking with respect to RTs does not depend on the person (item) parameters. For each form a theorem stating sufficient conditions, is proved. The two forms of separability are shown to include several (special cases of) models from psychometric and biometric literature. Ranking independence imposes no restrictions on the general distribution form, but on its parametrization. An estimation procedure based upon ranks and pseudolikelihood theory is discussed, as well as the relation of ranking independence to the concept of double monotonicity.I am indebted to Wim van der Linden for bringing Thissen's (1983) paper to my notice, and to Martijn Berger, Frans Tan, and the anonymous reviewers for their constructive comments on earlier drafts of this paper.     

The Revised Conners' Parent Rating Scale (CPRS-R): Factor Structure, Reliability, and Criterion Validity

The Conners' Parent Rating Scale (CPRS) is a popular research and clinical tool for obtaining parental reports of childhood behavior problems. The present study introduces a revised CPRS (CPRS-R) which has norms derived from a large, representative sample of North American children, uses confirmatory factor analysis to develop a definitive factor structure, and has an updated item content to reflect recent knowledge and developments concerning childhood behavior problems. Exploratory and confirmatory factor-analytic results revealed a seven-factor model including the following factors: Cognitive Problems, Oppositional, Hyperactivity-Impulsivity, Anxious-Shy, Perfectionism, Social Problems, and Psychosomatic. The psychometric properties of the revised scale appear adequate as demonstrated by good internal reliability coefficients, high test-retest reliability, and effective discriminatory power. Advantages of the CPRS-R include a corresponding factor structure with the Conners' Teacher Rating Scale—Revised and comprehensive symptom coverage for attention deficit hyperactivity disorder (ADHD) and related disorders. Factor congruence with the original CPRS as well as similarities with other parent rating scales are discussed.     

Aggression Observation Scale for Group Psychotherapy

An observational scale to record aggressive behaviors, defenses, and interventions that occur during a psychotherapy group has been developed. Content and process items were included. The content items focus on the spoken material and are on a continuum of increasing group members' awareness of and responsibility for their anger. The process items are directed to underlying psychodynamic issues on a continuum from avoiding anger, to indirect and then expression of anger. Leader interventions (responses) are also included. The development of the scale, the Aggression Observation Scale for Group Psychotherapy (AOSGP), is described including pilot testing and reliability and validity findings.     

MFT trainee adjustment to program lifestyle stress: The TAPS scale

The 30-item Trainee Adjustment to Program Stress (TAPS) scale was developed to measure lifestyle stress of family therapy trainees. Initially, 70 items were generated from propositional statements based on four constructs. Following pilot testing, 329 out of 900 (37%) student members of the American Association for Mariage and Family Therapy (AAMFT) returned TAPS questionnaires. Internal consistency reliability analyses and principal components and factor analyses produced a final 30 item TAPS scale appropriate for use in family therapy training programs. Reliability and validity measures are reported.     

The effect of sex differences on sociometric data generated by a roster-rating scale instrument

Sociometric data generated by roster-rating scale instruments are being used for assessment and evaluation purposes. Little information exists, however, on the influence of peer gender on this particular type of sociometric data. In a sample of 441 male and 455 female fourth, fifth, and sixth grade children, this study found same-sex ratings to be significantly higher than opposite-sex ratings. Opposite-sex ratings, while significantly lower, were slightly correlated with the higher same-sex ratings. Differing methods for interpreting roster-rating scale data are discussed in light of the above results.The author is Assistant Professor at the School of Social Welfare, State University of New York at Albany currently on leave at the Baerwald School of Social Work, Hebrew University, Jerusalem, Israel. This project was completed under the auspices of the Interpersonal Skill Training and Research Project of the School of Social Work, University of Wisconsin-Madison, Madison, Wisconsin.