Factor structure of the Tennessee Self-Concept Scale for an institutionalized, disabled population

Separate factor analyses of responses to the Tennessee Self-concept Scale using item and scale data are reported for a sample of 255 disabled veterans. A global self-satisfaction factor and several subsidiary factors roughly approximate the external dimension of the scale. The internal dimension interacts with the external one in defining several factors but does not emerge as an independent dimension. Scale data yield a self-esteem factor incorporating both external and internal scales and a self-concept conflict-integration factor. The evidence supports the external dimension more than the internal dimension. The findings are consistent with previous studies that have not validated the two-dimensional design of the scale.     

Fourier transform infrared and Raman spectroscopy studies on a - and ß-C3N4 films

Crystalline carbon nitride films have been synthesized on Si(100) substrates by the microwave plasma chemical vapour deposition technique. In order to understand their structure, Raman and Fourier transform infrared spectra of aand b-C3N4 were calculated using a scale factor and the observed Raman and infrared spectra of a- and b-Si N . A scale factor (1.47) for the stretching 3 4 frequencies from the tetrahedral C-N to Si-N bonds was calculated through Hooke's law. Experimental Raman and infrared spectra conform to the calculated results: so we conclude that the film contain a-C3N4 and b-C3N4     

The Recaptured Scale Technique: A Method for Testing the Structural Robustness of Personality Scales

Tellegen and Waller advocated a complex and time-consuming scale construction method that they called “exploratory test construction.” Scales that are constructed by this method—such as the Multidimensional Personality Questionnaire (MPQ)—are presumed to be more “psychologically coherent” and “robust” than scales constructed by other means. Using a novel procedure that we call the “recaptured scale technique,” we tested this conjecture by conducting a megafactor analysis on data from the 411 adult participants of the Minnesota Study of Twins Reared Apart who completed the MPQ, the MMPI, and the CPI. We extracted and obliquely rotated 21 factors from a matrix of gender-corrected tetrachoric correlations for the 1,102 nonredundant items of the three omnibus inventories. Robustness of the 11 MPQ scales was assessed by the degree to which these factors recaptured the MPQ item groupings. Our results showed that nine factors were clearly recognizable as MPQ scales and two additional factors represented a bifurcation of an MPQ scale. A higher-order factor analysis of all 21 factor scales yielded five factors that clearly resembled the Big Five. Our results provide strong support for (a) the method of exploratory test construction, (b) the structural robustness of most MPQ scales, and (c) the utility of the recaptured scale technique.     

The expression of uncertainty: Two contextual effects

Abstract

Since Foley (1959), the technique of evaluating common expressions of uncertainty on a numerical scale has often been used in an attempt to define such expressions more accurately. Two contextual factors - (1) the composition of the set of expressions and (2) the definition of the scale - were studied in the present experiment to determine their effect on bow such expressions are encoded. Psychophysical theories on series effects and, in particular, the range-frequency model (Parducci, 1983), predict that the composition of a set is one of the determining factors of contrast effects. The scale definition factor determines the lower limit of the rating scale, which represents either uncertainty or negative certainty. The effect of this factor is assumed to depend upon the reference universe outlined in the problem statement and, in particular, upon whether that universe is strictly limited or not. An experiment was conducted to contrast two sets of expressions, two scale definitions and two ways of presenting the problem (the doubt was applied either to a choice of two events or to the occurrence of an event in an unspecified universe). The results provide evidence of a set composition effect and an interaction between the scale definition and the presentation of the problem. This is consistent with the proposed model, which accounts for the specific effects of the judgement task while eliminating the need to consider the variability of the meanings themselves. Proposals for developing this line of research are presented in the discussion.     

A nonparametric item analysis of a selected item subset of the Learning Process Questionnaire

Background: Although there have been numerous studies conducted on the psychometric properties of Biggs' Learning Process Questionnaire (LPQ), these have involved the use of traditional omnibus measures of scale quality such as corrected item total correlations, internal consistency estimates of reliability, and factor analysis. However, these omnibus measures of scale quality are sample dependent and fail to model item responses as a function of trait level. And since the item trait relationship is typically nonlinear, traditional factor analytic methods are inappropriate. Aims: The purpose of this study was to identify a unidimensional subset of LPQ items and examine the effectiveness of these items and their options in discriminating between changes in the underlying trait level. In addition to assessing item quality, we were interested in assessing overall scale quality with non‐sample dependent measures. Method: The sample was split into two nearly equal halves, and a undimensional subset of items was identified in one of these samples and cross‐validated in the other. The nonlinear relationship between the probability of endorsing an item option and the underlying trait level was modelled using a nonparametric latent trait technique known as kernel smoothing and implemented with the program TestGraf. After item and scale quality were established, maximum likelihood estimates of participants' trait level were obtained and used to examine grade and gender differences. Results: A undimensional subset of 16 deep and achieving items was identified. Slightly more than half of these items needed some of their options combined so that the probability of endorsing an item option as a function of increasing trait level corresponded to the ideal rank ordering of the item options. With this adjustment, scale quality as measured by the information function and standard error function was found to be good. However, no statistically significant gender differences were observed and, although statistically significant grade differences were observed, they were not substantively meaningful. Conclusions: The use of nonparametric kernel‐smoothing techniques is advocated over parametric latent trait methods for the analysis of attitudinal and psychological measures involving polychotomous ordered‐response categories. It is also suggested that latent trait methods are more appropriate than traditional test‐based measures for studying differential item functioning both within and between cultures. Nonparametric kernel‐smoothing techniques hold particular promise in identifying and understanding cross‐cultural differences in student approaches to learning at both the item and scale level.     

Preliminary validation of a hope scale for a rare health condition using web-based methodology

An evaluation of a health condition-specific hope scale adapted from the more general dispositional Hope Scale (Snyder et al., 1991) is provided. Participants (N = 202) with a rare, debilitating, and potentially stigmatising health condition were recruited from readers of the Anal Fissure Self Help Page. Data were gathered anonymously using an online survey linked to the website. Consistent with hope theory, this new measure yielded a pathways factor (perceived capacity to find ways to achieve desired goals) and an agency factor (perceived motivation to pursue goals energetically). Respondents with stronger pathways thoughts reported greater benefits from website information for understanding and generating strategies for managing anal fissures. Stronger agency beliefs were related to more frequent website visits, more rereading of first-hand patient accounts, and shorter duration of fissure symptoms. Results offer preliminary support for validity of this scale and for using web-based methodologies to study conditions, such as anal fissure.     

The control of social desirability in personality inventories: A study using the principal-factor deletion technique

The present study sought to investigate Paulhus' (1981) principal-factor deletion technique (PFDT), a factor analytic method for controlling for socially desirable responding. Adult subjects (N = 330) responded to both forms of the Eysenck Personality Inventory and a 32-item lie scale. Peer ratings of extraversion and neuroticism served as criterion measures. The factor deleted by PFDT more closely reflected neuroticism than impression management. Factors resulting from PFDT were considerably less valid and less content saturated than those emerging from an ordinary factor solution. The implications of these results are discussed from the perspectives of predictive and construct validity.     

Reconstructing N: A New Approach to Measuring Emotional Sensitivity

Neuroticism (N) assesses emotional sensitivity or lability, but the construct is poorly defined and instruments used to assess N are marred by a number of psychometric shortcomings. Neuroticism is also described in an overtly pejorative way, with items keyed for themes reflecting low self-esteem, anxiety, and depression. The present paper presents a revised model based on a new questionnaire entitled the Emotional Sensitivity Scale (ESS). Using an innovative scenario technique to generate items, exploratory factor analysis of the responses of 242 participants yielded orthogonal dimensions for positive (other-oriented) and negative (self-centered) emotional sensitivity, and the structure was confirmed using confirmatory factor analysis. Validation studies showed that the ESS dimensions were related in systematic ways to related psychometric instruments and that, as predicted, participants scoring high on the positive dimension were better able to recognize displayed emotions. The new scale offers a basis for extending the research on emotional sensitivity using empirically discriminable positive and negative components.     

Reconstructing N: A New Approach to Measuring Emotional Sensitivity

Neuroticism (N) assesses emotional sensitivity or lability, but the construct is poorly defined and instruments used to assess N are marred by a number of psychometric shortcomings. Neuroticism is also described in an overtly pejorative way, with items keyed for themes reflecting low self-esteem, anxiety, and depression. The present paper presents a revised model based on a new questionnaire entitled the Emotional Sensitivity Scale (ESS). Using an innovative scenario technique to generate items, exploratory factor analysis of the responses of 242 participants yielded orthogonal dimensions for positive (other-oriented) and negative (self-centered) emotional sensitivity, and the structure was confirmed using confirmatory factor analysis. Validation studies showed that the ESS dimensions were related in systematic ways to related psychometric instruments and that, as predicted, participants scoring high on the positive dimension were better able to recognize displayed emotions. The new scale offers a basis for extending the research on emotional sensitivity using empirically discriminable positive and negative components.     

ISSUES AND STRATEGIES FOR REDUCING THE LENGTH OF SELF-REPORT SCALES

Greater understanding of the complex interrelationships among work-relevant constructs has increased the number of constructs on organizational surveys. Good psychometric practice also dictates the use of multiple items per construct. The net result has been longer surveys. Longer surveys take more time to complete, tend to have more missing data, and have higher refusal rates than short surveys. Arguably, then, techniques for reducing the length of scales while maintaining psychometric quality are worthwhile. Little guidance exists on how to reduce the length of a multi-item scale and we argue that the most common technique, maximizing internal consistency, is problematic and should be avoided. We present a set of item "quality indices" to help conceptualize the competing issues that influence item retention decisions. Statistical analysis of an example case using these indices suggested that there are 3 key aspects of item quality to consider when reducing a scale. We describe strategies that can assist scale developers in using these 3 aspects of item quality when making scale reduction decisions.     

Attitudes toward illegal immigration: a cross-national methodological comparison

This research is an examination of the generalizability of a Likert-type scale originally devised to measure attitudes toward illegal immigrants (IA) in the United States. The current authors administered this scale across 4 national samples using several methodological procedures. Undergraduate students (631) responded to the IA scale (R. Ommundsen & K. S. Larsen, 1997) at the University of Oslo, Oregon State University, the University of Copenhagen, and Vrije University of Amsterdam. The authors' main purpose was to evaluate the adequacy of the 20-item IA scale by examining possible problems with method and translation. A translation study carried out with the Danish, Norwegian, and Dutch samples (N = 299) showed that the various national versions were fairly accurate and contained largely the same meanings. The use of procrustes analysis of the IA scale yielded 3 factors in all 4 national samples. The coefficient of congruence of these 3 orthogonally rotated factor matrices, with the U.S. factor matrix as target, varied from .80 to .95, supporting the cross-national robustness of the scale. In the search for a more economical cumulative scale, a Mokken analysis yielded a 5-item scale that represented the aforementioned 3 factors and was stable across national samples.     

A Factor Analysis Of Individual Social Desirability Scale Values

The factorial structure of individual judgments of social desirability scale value (SDSV) was studied by factor analyzing a 112 (college students) by 100 (MMPI items) data matrix of individual judgments of SDSV in two ways. One analysis was factoring by item (R technique) while the second analysis was factoring by subject (Q technique). A large general SD factor appeared when subject intercorrelations were factored, but no such general factor was identified when item intercorrelations were factored. Evidence was also presented that the large general SD factor was highly correlated with mean or normative SDSVs.     

Refining the psychometric properties of the circadian type inventory

The psychometric properties of the 18-item circadian type inventory (CTI) were examined in a non-shiftwork sample. Inter-item correlations for each scale were low to moderate. Confirmatory factor analysis (CFA) via structural equation modelling did not support the posited structure of the CTI. Principal components analysis and reliability analyses suggested the CTI is better represented by 11-items. The revised five item FR scale accounted for 27% of the variance, had stronger factor loadings and increased Cronbach alpha. The psychometric properties of the six item LV scale were marginally improved and explained 21% of the variance. The two-factor 11-item model was supported by CFA. Compared to the 18-item model, the 11-item model showed a marked improvement on several incremental fit indices and achieved a more parsimonious model fit. There was some indication of gender differences but a multi-group CFA indicated model parsimony was best for the invariant model. Gender difference needs to be further examined in large samples using a similar gender balance. It is concluded that the 11-item CTI is psychometrically superior to the original. However, its predictive efficacy needs to be examined in longitudinal studies.     

Comparative Validity Of MMPI-168 Factors And Clinical Scales

This study further explores the relative merits of MMPI factor scores versus clinical scale scores, using the MMPI results of a large unselected sample of public mental health patients and using mental status examination findings and clinical, diagnosis as criterion variables. Correlation of MMPI-168 factor scores, MMPI-168 estimated clinical scale scores and MMPI full scale clinical scores with mental status factor scores failed to evidence any clear advantage for any of the three MMPI variables. Similar findings were obtained for discriminant analysis "hit" rates, using clinical diagnosis as the prediction criterion.     

Factor structure and measurement invariance of the Women's Health Initiative Insomnia Rating Scale

As part of the Women's Health Initiative Study, the 5-item Women's Health Initiative Insomnia Rating Scale (WHIIRS) was developed. This article summarizes the development of the scale through the use of responses from 66,269 postmenopausal women (mean age = 62.07 years, SD = 7.41 years). All women completed a 10-item questionnaire concerning sleep. A novel resampling technique was introduced as part of the data analysis. Principal-axes factor analysis without iteration and rotation to a varimax solution was conducted for 120,000 random samples of 1,000 women each. Use of this strategy led to the development of a scale with a highly stable factor structure. Structural equation modeling revealed no major differences in factor structure across age and race-ethnic groups. WHIIRS norms for race-ethnicity and age subgroups are detailed.     

党政干部自律品质的研究

本文旨在对我国处级党政干部自律品质的内容结构进行探讨,以期能够为我国党政干部的选拔和测评工作提供服务。我们运用自编的处级党政干部自律品质问卷对260名处级党政干部施测,结果发现:(1)处级党政干部自律品质由自我规范性、自我调节性、自我促进性、自我容忍性和自我实现性五个因素构成;(2)自我规范性对处级党政干部自律品质的贡献性最大,其次为自我促进性、自我调节性、自我容忍性和自我实现性;(3)自律品质问卷具有良好的信度和效度,具有一定的推广价值。     

Computing measures of simplicity of fit for loadings in factor-analytically derived scales

A very simple structure is sought when factor analysis is used to develop measurement scales. The SIMLOAD program computes measures of factorial simplicity for rows and columns of loading matrices (usually the factor pattern) as well as some overall measures. These include Kaiser’s (1974) index of factorial simplicity for variables (rows), the author’s scale fit index for factors (columns), Bentler’s (1977) scale-free matrix measure, and hyperplane counts. Routine use of these measures is recommended for multifactor scale development. The measures may also be useful in more general factor applications and in confirmatory as well as exploratory analyses. SIMLOAD also computes factor scale intercorrelations, scale alpha coefficients (including alpha when an item is removed), and sorted loadings for ease of interpretation.     

The Santa Clara Strength of Religious Faith Questionnaire: Confirmatory Factor Analysis

Within contemporary psychology there is increasing interest in the role of religion on behaviour and psychological functioning. Such interest can be attested to by the growth in the number of pertinent books and articles that have been published and also the development of new self-report measures of religiosity. The Santa Clara Strength of Religious Faith Questionnaire is one such recently developed measure. It is a brief self-report measure comprising 10 items that were designed to measure strength of religious faith regardless of religious denomination or affiliation. Although Plante and Boccaccini (1997a, 1997b) have provided some preliminary evidence for the reliability and validity of the scale, the factor structure of the scale has not yet been examined. The aim of the present paper was to confirm the factor structure of the scale. The hypothesised one-factor model was tested using confirmatory factor analytic methods. Data from a sample of 106 Northern Irish undergraduate university students were examined using confirmatory factor analytic methods. A one-factor model was tested and accepted on the basis of fit statistics, therefore supporting the hypothesised unidimensional structure of the scale. The present results provide further evidence that the Santa Clara Strength of Religious Faith Questionnaire is psychometrically sound and therefore it can be recommended for further use by researchers interested in the construct of strength of religious faith.     

Exploring Nonlinear Models in Personality Assessment: Development and Preliminary Validation of a Negative Emotionality Scale

ABSTRACT In this article we discuss the applicability of several new measurement models to the construction of personality scales, and we contrast these models with more traditional approaches in common usage, such as the principal factor analysis model. Our goal is to illustrate how nonlinear item-response models can be profitably used in personality research. We describe the development of a 30-item Negative Emotionality scale that was constructed using nonlinear factor analysis and item-response theory. We also show how traditional (linear) factor analysis can produce misleading results when it is applied to personality items with dichotomous response formats (e.g., true/false, agree/disagree). No formal training in modern measurement theory is assumed of the reader as we describe the nonlinear models that are used in this study in nontechnical language with a minimum of mathematics.     

The prediction of phobic behaviour

A 10-point rating scale, a pair comparison forced choice technique and a repertory grid were used to predict phobic behaviour in a standardized avoidance situation. The rating scale and pair comparison technique were significantly more accurate than the grid, but did not differ from each other. The results were seen to be consistent with others demonstrating that simple and economic self-report measures can often be more useful than apparently more sophisticated instruments. The results can also be taken to underline the need for including a variety of measures in validity studies of the repertory grid, and the caution necessary in the clinical application of this same instrument. The generality of the present conclusions to other situations needs, however, to be demonstrated rather than assumed. Social desirability, for example, is not thought to be an important variable in the present situation.