Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety

Several approaches exist to model interactions between latent variables. However, it is unclear how these perform when item scores are skewed and ordinal. Research on Type D personality serves as a good case study for that matter. In Study 1, we fitted a multivariate interaction model to predict depression and anxiety with Type D personality, operationalized as an interaction between its two subcomponents negative affectivity (NA) and social inhibition (SI). We constructed this interaction according to four approaches: (1) sum score product; (2) single product indicator; (3) matched product indicators; and (4) latent moderated structural equations (LMS). In Study 2, we compared these interaction models in a simulation study by assessing for each method the bias and precision of the estimated interaction effect under varying conditions. In Study 1, all methods showed a significant Type D effect on both depression and anxiety, although this effect diminished after including the NA and SI quadratic effects. Study 2 showed that the LMS approach performed best with respect to minimizing bias and maximizing power, even when item scores were ordinal and skewed. However, when latent traits were skewed LMS resulted in more false-positive conclusions, while the Matched PI approach adequately controlled the false-positive rate.     

On the consistency of individual classification using short scales

Short tests containing at most 15 items are used in clinical and health psychology, medicine, and psychiatry for making decisions about patients. Because short tests have large measurement error, the authors ask whether they are reliable enough for classifying patients into a treatment and a nontreatment group. For a given certainty level, proportions of correct classifications were computed for varying test length, cut-scores, item scoring, and choices of item parameters. Short tests were found to classify at most 50% of a group consistently. Results were much better for tests containing 20 or 40 items. Small differences were found between dichotomous and polytomous (5 ordered scores) items. It is recommended that short tests for high-stakes decision making be used in combination with other information so as to increase reliability and classification consistency.     

Detection and Validation of Unscalable Item Score Patterns Using Item Response Theory: An Illustration with Harter's Self-Perception Profile for Children

To test the hypothesis that age of first separation from a home environment is a factor in the emotional health of institutionalized boys, Rorschach protocols of 82 residents of Saint Francis Vocational School, a facility for deprived nondelinquent nonretarded youth aged 10 to 18, were examined. Seven Rorschach variables were used as dependent variables of emotional status. It was found that boys who had first been institutionalized before age 10 gave more color-dominant and pure color responses (p .005), and more responses with pathological overtones (p < .005), than did youth first placed at ages 10 to 13 or ages 14 to 17. Fixation was proposed as the basis for the group differences.     

Detection and validation of unscalable item score patterns using item response theory: an illustration with Harter's Self-Perception Profile for Children

We illustrate the usefulness of person-fit methodology for personality assessment. For this purpose, we use person-fit methods from item response theory. First, we give a nontechnical introduction to existing person-fit statistics. Second, we analyze data from Harter's (1985) Self-Perception Profile for Children (Harter, 1985) in a sample of children ranging from 8 to 12 years of age (N = 611) and argue that for some children, the scale scores should be interpreted with care and caution. Combined information from person-fit indexes and from observation, interviews, and self-concept theory showed that similar score profiles may have a different interpretation. For some children in the sample, item scores did not adequately reflect their trait level. Based on teacher interviews, this was found to be due most likely to a less developed self-concept and/or problems understanding the meaning of the questions. We recommend investigating the scalability of score patterns when using self-report inventories to help the researcher interpret respondents' behavior correctly.     

Explanatory,Multilevel Person-Fit Analysis of Response Consistency on the Spielberger State-Trait Anxiety Inventory

Self-report measures are vulnerable to concentration and motivation problems, leading to responses that may be inconsistent with the respondent's latent trait value. We investigated response consistency in a sample (N = 860) of cardiac patients with an implantable cardioverter defibrillator and their partners who completed the Spielberger State-Trait Anxiety Inventory on five measurement occasions. For each occasion and for both the state and trait subscales, we used the l ^p _z person-fit statistic to assess response consistency. We used multilevel analysis to model the between-person and within-person differences in the repeated observations of response consistency using time-dependent (e.g., mood states) and time-invariant explanatory variables (e.g., demographic characteristics). Respondents with lower education, undergoing psychological treatment, and with more post-traumatic stress disorder symptoms tended to respond less consistently. The percentages of explained variance in response consistency were small. Hence, we conclude that the results give insight into the causes of response inconsistency but that the identified explanatory variables are of limited practical value for identifying respondents at risk of producing invalid test results. We discuss explanations for the small percentage of explained variance and suggest alternative methods for studying causes of response inconsistency.     

Dimensionality of the hospital anxiety and depression scale (HADS) in cardiac patients: comparison of Mokken scale analysis and factor analysis

The hospital anxiety and depression scale (HADS) measures anxiety and depressive symptoms and is widely used in clinical and nonclinical populations. However, there is some debate about the number of dimensions represented by the HADS. In a sample of 534 Dutch cardiac patients, this study examined (a) the dimensionality of the HADS using Mokken scale analysis and factor analysis and (b) the scale properties of the HADS. Mokken scale analysis and factor analysis suggested that three dimensions adequately capture the structure of the HADS. Of the three corresponding scales, two scales of five items each were found to be structurally sound and reliable. These scales covered the two key attributes of anxiety and (anhedonic) depression. The findings suggest that the HADS may be reduced to a 10-item questionnaire comprising two 5-item scales measuring anxiety and depressive symptoms.     

Type D assessment in patients with chronic heart failure and peripheral arterial disease: evaluation of the experimental DS(3) scale using item response theory

Type D personality refers to a clustering of 2 stable personality traits, namely negative affectivity and social inhibition. Currently Type D is standardly assessed using the DS14. An experimental Type D personality scale, the DS((3)), was developed to examine an avenue for assessing Type D more efficiently. The DS((3)) differs from the DS14 in its use of a 3-point Likert scale to rate responses, use of all negatively worded items, and a rearranged presentation of items. This article examines the psychometric properties of this questionnaire by examining its dimensionality, item and scale properties, and cutoff scores to screen for Type D personality. Data from 2 clinical samples were analyzed using item response theory. The results suggest that the DS((3)) is a potentially suitable instrument for Type D assessment. It has high reliability, and Type D personality classification based on this scale corresponds well with the current standard Type D assessment based on the DS14.     

Teaching Creative Writing Skills to Primary School Children in Hong Kong: Discordance Between the Views and Practices of Language Teachers

Although creativity has been valued in ancient and contemporary Chinese literature, the degree to which creativity is valued and incorporated into teaching by Chinese language teachers is not known. This information is important given that creativity has been increasingly recognized in the education literature as a component of effective writing. The purpose of this study was to compare the views of Chinese language teachers in Hong Kong about creativity and the acquisition of creative writing skills by primary school children, and their teaching practices. A total of 449 Chinese language teachers, employed at primary schools throughout Hong Kong completed a survey questionnaire. The 14‐item questionnaire focused on teachers' views of creativity, their perceptions of how to develop students' creativity, their awareness of creative writing strategies, and teaching practices related to creative writing. With respect to the definition of creativity, teachers identified imagination foremost, followed by inspiration, and original ideas. Teachers identified developing students' confidence, and providing an open atmosphere as essential means of fostering creativity. Despite the apparent value of creativity expressed by the teachers and their familiarity with methods for enhancing creativity, the majority reported using traditional methods of teaching writing. Strategies are recommended for reconciling this discrepancy, and promoting creative writing skills by primary school teachers in Hong Kong and other Chinese speaking societies.     

Review of Issues About Classical Change Scores: A Multilevel Modeling Perspective on Some Enduring Beliefs

Change scores obtained in pretest–posttest designs are important for evaluating treatment effectiveness and for assessing change of individual test scores in psychological research. However, over the years the use of change scores has raised much controversy. In this article, from a multilevel perspective, we provide a structured treatise on several persistent negative beliefs about change scores and show that these beliefs originated from the confounding of the effects of within-person change on change-score reliability and between-person change differences. We argue that psychometric properties of change scores, such as reliability and measurement precision, should be treated at suitable levels within a multilevel framework. We show that, if examined at the suitable levels with such a framework, the negative beliefs about change scores can be renounced convincingly. Finally, we summarize the conclusions about change scores to dispel the myths and to promote the potential and practical usefulness of change scores.     

Global, local, and graphical person-fit analysis using person-response functions

Person-fit statistics test whether the likelihood of a respondent's complete vector of item scores on a test is low given the hypothesized item response theory model. This binary information may be insufficient for diagnosing the cause of a misfitting item-score vector. The authors propose a comprehensive methodology for person-fit analysis in the context of nonparametric item response theory. The methodology (a) includes H. Van der Flier's (1982) global person-fit statistic U3 to make the binary decision about fit or misfit of a person's item-score vector, (b) uses kernel smoothing (J. O. Ramsay, 1991) to estimate the person-response function for the misfitting item-score vectors, and (c) evaluates unexpected trends in the person-response function using a new local person-fit statistic (W. H. M. Emons, 2003). An empirical data example shows how to use the methodology for practical person-fit analysis.