Testing for measurement equivalence of human values across online and paper-and-pencil surveys

The following study investigates the measurement equivalence of an online and paper-and-pencil (PAP) survey of human values. For this purpose, a total of 250 respondents completed the 21-item version of the Portrait Value Questionnaire either online (n = 125) or by PAP (n = 125). This questionnaire was developed by Schwartz (Advances in experimental social psychology, Academic Press, New York, 1992) and has been included in the European Social Survey since 2002 to test his theory of basic human values. Measurement invariance was tested via a multiple group confirmatory factor analysis. The assessment of invariance included the three levels of configural, metric, and scalar invariance, and the latent means of the values between both samples were compared. Results of this study show that the measurements are invariant at the three levels (configural, metric, and scalar), but there are latent mean differences between the values across the surveys. These differences may be partly explained by age and level of education differences between the two samples. Based on these findings we conclude that the methods of measurement are essentially invariant.     

Investigating the Portrait Values Questionnaire at two transitions in adulthood: Retirement and University

In this study, two issues regarding the use of the Portrait Value Questionnaire (PVQ; Schwartz et al.: J. Cross. Cult. Psychol. 32:519–542, 2001) with older adults were addressed: (1) whether the quasi-circumplex structure of values, developed on younger adult samples, also emerges among older adults; and (2) whether the PVQ demonstrates measurement invariance across age groups and equivalence over time. The 40-item version of the PVQ was completed by 433 retired adults and 173 university students in Montreal, Canada. In both retired and student samples, the quasi-circumplex structure of values emerged using exploratory techniques, but was not supported by constrained confirmatory factor analyses. A modified 26-item model was necessary to achieve adequate fit indices in both samples, suggesting problems of multi-collinearity and internal discriminant validity. However, using the revised 26-item model of the values, support was found for most types of measurement invariance across age groups and time. The PVQ should, therefore, be considered appropriate for use across the adult lifespan and in longitudinal research. Results are discussed with regard to the Schwartz (In: Zanna M (ed) Advances in experimental social psychology. New York: Academic Press, pp. 1–65, 1992) value theory and the conceptualizing of values across the lifespan.     

Measurement invariance: Review of practice and implications

A review of efforts to assess the invariance of measurement instruments across different respondent groups using confirmatory factor analysis (CFA) is provided for the years since the Vandenberg and Lance [Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–69.] review. Investigators are more frequently reporting tests of scalar invariance and tests for differences in latent factor means and partial invariance. Efforts have been made to assess, the impact of the choice of a referent indicator in multi-group studies, the appropriateness of forming partials as indicators of a latent construct, the degree of convergence of item response theory and CFA analyses of measurement differences across groups, and the implications of findings of invariance. In this context, a demonstration of the impact of partial invariance on estimated group differences in reliability and means is provided and discussed.     

Validation and measurement invariance of the multidimensional qualitative job insecurity scale

This contribution introduces the Multidimensional Qualitative Job Insecurity Scale (MQJIS). Drawing from the qualitative job insecurity literature and addressing some of other scales’ limitations, a multidimensional model is proposed and investigated by means of confirmatory factor analysis and multilevel confirmatory factor analysis. Study 1 aims to explore the psychometric properties and factorial structure of MQJIS in an Italian sample of blue-collar workers (N?=?583), showing that a model with one higher-order factor (i.e., qualitative job insecurity) and four dimensions (i.e., social relationships, employment conditions, working conditions, and work content) shows a good fit to the data and good reliability indices. Study 2 aims to investigate MQJIS measurement invariance across several groups, based on country of origin, age, and gender. Results on a sample of Belgian and Italian workers (N?=?710) show that MQJIS met the criteria for uniqueness invariance across genders and scalar invariance across countries and age groups. Significance, implications, and future directions stemming from the initial validation and the confirmed measurement invariance of this scale are discussed.

     

Person-level assessment of measurement invariance

Quality & Quantity - Existing procedures for testing measurement invariance focus mainly on group-level comparisons rather than individual comparisons (i.e., the main conclusion typically...     

Complete Neyman measurement procedure

Traditional estimation theory generally starts from point estimators, and based on them confidence regions with given confidence level are constructed. However, this approach works only in some special cases and, even more severe, it is based on the unrealistic but mathematical necessary assumption of a generally unbounded parameter space.  The procedures derived in this paper, start from a bounded measurement range which contains the potential values of the parameter of interest. For given measurement range and given reliability requirement measurement procedures including a point estimator are developed. The result are complete measurement procedures for distribution parameters. Most precise procedures are derived and called complete Neyman measurement procedures.     

Western MBA Education and Effective Leadership Values in Developing Countries

Abstract

The study seeks to develop a leadership portrait of MBA graduates from developing countries. It examines the congruence between the effective leadership values as perceived by MBA graduates from developing countries and expected, accepted and effective leadership styles in their cultures. One-Way ANOVA and Duncan Multiple Comparison analysis revealed that MBA graduates from developing countries have the tendency to embrace western leadership values without forsaking traditional indigenous values. The research provides evidence to suggest that western MBA education is contributing to the conformity to the latest leadership paradigms across cultures and thus the formation of a shared knowledge structure which reduce the variability of future managers' perceptions towards leadership styles.

The study seeks to develop a leadership portrait of MBA graduates from developing countries. It examines the congruence between the effective leadership values as perceived by MBA graduates from developing countries and expected, accepted and effective leadership styles in their cultures. One-Way ANOVA and Duncan Multiple Comparison analysis revealed that MBA graduates from developing countries have the tendency to embrace western leadership values without forsaking traditional indigenous values. The research provides evidence to suggest that western MBA education is contributing to the conformity to the latest leadership paradigms across cultures and thus the formation of a shared knowledge structure which reduce the variability of future managers' perceptions towards leadership styles.     

Replicating the Results in ‘A New Model of Trend Inflation’ Using Particle Markov Chain Monte Carlo

An article by Chan et al. ( 2013 ) published in the Journal of Business and Economic Statistics introduces a new model for trend inflation. They allow the trend inflation to evolve according to a bounded random walk. In order to draw the latent states from their respective conditional posteriors, they use accept–reject Metropolis–Hastings procedures. We reproduce their results using particle Markov chain Monte Carlo (PMCMC), which approaches drawing the latent states from a different technical point of view by relying on combining Markov chain Monte Carlo and sequential Monte Carlo methods. To conclude: we are able to reproduce the results of Chan et al. ( 2013 ). Copyright © 2015 John Wiley & Sons, Ltd.     

Imputation of Missing Item Responses: Some Simple Techniques

Among the wide variety of procedures to handle missing data, imputingthe missing values is a popular strategy to deal with missing itemresponses. In this paper some simple and easily implemented imputationtechniques like item and person mean substitution, and somehot-deck procedures, are investigated. A simulation study was performed based on responses to items forming a scale to measure a latent trait ofthe respondents. The effects of different imputation procedures onthe estimation of the latent ability of the respondents wereinvestigated, as well as the effect on the estimation of Cronbach'salpha (indicating the reliability of the test) and Loevinger'sH-coefficient (indicating scalability). The results indicate thatprocedures which use the relationships between items perform best,although they tend to overestimate the scale quality.     

An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic cultures

Little research exists that addresses the equivalence in collectivistic cultures of paper- versus Internet-based surveys. This study addressed this gap and examined the measurement equivalence of individual innovativeness scales between Internet surveys and paper-based surveys within a collectivistic culture (with China serving as our example). The study analyzed and compared survey data from both paper and web-based surveys using confirmatory factor analysis. The assessment of invariance included the levels of configural, metric, scalar, and covariance invariance. The means and variance of latent variables were also compared. The results show that measurements are invariant at the two levels (configural and metric), and the covariances between latent variables are also equivalent, but the mean and variance differences of latent variables are apparent. The results indicate that when conducting research in collectivistic cultures and collecting data from distinct survey modes, researchers should concern themselves with the potential of extreme response patterns and the inclination of social desirability responding, as well as considering the measurement invariance across survey modes.     

Minimax estimation of a cumulative distribution function by converting to a parametric problem

Let X = (X ₁,...,X _n ) be a sample from an unknown cumulative distribution function F defined on the real line . The problem of estimating the cumulative distribution function F is considered using a decision theoretic approach. No assumptions are imposed on the unknown function F. A general method of finding a minimax estimator d(t;X) of F under the loss function of a general form is presented. The method of solution is based on converting the nonparametric problem of searching for minimax estimators of a distribution function to the parametric problem of searching for minimax estimators of the probability of success for a binomial distribution. The solution uses also the completeness property of the class of monotone decision procedures in a monotone decision problem. Some special cases of the underlying problem are considered in the situation when the loss function in the nonparametric problem is defined by a weighted squared, LINEX or a weighted absolute error.     

Instrumental values

This paper studies identification of partial differences of nonseparable structural functions. A model is defined which admits structural functions exhibiting a degree of monotonicity with respect to a latent variate. The model identifies partial differences when there are instrumental values of covariates over which the latent variate exhibits a local quantile invariance, and a local order condition holds. The result is useful when covariates exhibit discrete variation, as arises often in practice, and when restricting latent variates and covariates to be statistically independent is unpalatable. The results are illustrated with data from the returns-to-schooling study of Angrist and Krueger [1991. Does compulsory schooling attendance affect schooling and earnings? Quarterly Journal of Economics 106, 979–1014].     

Multivariate residual‐based finite‐sample tests for serial dependence and ARCH effects with applications to asset pricing models

In this paper, we propose several finite‐sample specification tests for multivariate linear regressions (MLR). We focus on tests for serial dependence and ARCH effects with possibly non‐Gaussian errors. The tests are based on properly standardized multivariate residuals to ensure invariance to error covariances. The procedures proposed provide: (i) exact variants of standard multivariate portmanteau tests for serial correlation as well as ARCH effects, and (ii) exact versions of the diagnostics presented by Shanken ( 1990 ) which are based on combining univariate specification tests. Specifically, we combine tests across equations using a Monte Carlo (MC) test method so that Bonferroni‐type bounds can be avoided. The procedures considered are evaluated in a simulation experiment: the latter shows that standard asymptotic procedures suffer from serious size problems, while the MC tests suggested display excellent size and power properties, even when the sample size is small relative to the number of equations, with normal or Student‐t errors. The tests proposed are applied to the Fama–French three‐factor model. Our findings suggest that the i.i.d. error assumption provides an acceptable working framework once we allow for non‐Gaussian errors within 5‐year sub‐periods, whereas temporal instabilities clearly plague the full‐sample dataset. Copyright © 2009 John Wiley & Sons, Ltd.     

Segmenting university alumni using a person‐centered methodology

Higher education leaders in the United States increasingly rely on relationships with alumni to advance multiple institutional goals. Scholars have traditionally relied on variable‐centered approaches to understand associations among alumni experiences, personal attributes, and support behaviors. Departing from this tradition, this study draws on a person‐centered approach, latent class analysis, to segment groups of alumni by their non‐monetary support behaviors. We define non‐monetary support as engaging in actions outside of charitable giving that advance institutional objectives. Drawing on past literature, we conceptualize alumni non‐monetary support behaviors as falling into 4 categories: (a) volunteerism: charitable preferences, (b) political advocacy: social change preferences, (c) multimode engagement: charity and social change, and (d) disengagement: nonsupport. Relying on an alumni survey from a research‐intensive university in the United States, our analysis found support for a 4‐class model of alumni supporters and nonsupporters. These groupings include the classes of Political Advocates, Apolitical Recruiters, Super Engaged Alumni, and Disengaged Alumni. Using cross‐tabulation analysis, we explore attributes of each class by age, gender, and involvement in religious, political, and volunteer organizations in college. We find that groups of alumni exhibit the same patterns of engagement while they were students. For example, students who were engaged in political action in college are those who are likely to become Political Engagers as alumni. Students who volunteered in college and stayed clear of politics emerge as Apolitical Recruiters after college. Super Engaged Alumni are those who were engaged in multiple domains in college. Implications for advancement practice are discussed.     

The impacts of education spending and finance reform on manufacturing property shadow values: a cost function approach

The effects of court-ordered education finance reform on property values and residential choice have received increasing attention in recent years (Fischel 2001). However, little attention has been focused on the effects of education finance reform on manufacturing sector property values within an optimizing framework. This is pursued here by modeling education expenditures and education finance reform as “free” variables to manufacturing firms in a cost function model together with input demand equations. This framework is applied to panel data on manufacturers’ capital (building and structures) stocks for the 48 continental US for 1982–1996 to estimate implicit (shadow) values to the manufacturing sector of education spending and school finance reform. On average, school finance reform lowers the implicit value of manufacturing firms’ stock of buildings and structures capital, while greater education spending lowers manufacturing variable costs.

On Invariant Coordinate System (ICS) Functionals

Equivariance and invariance issues often arise in multivariate statistical analysis. Statistical procedures have to be modified sometimes to obtain an affine equivariant or invariant version. This is often done by preprocessing the data, e.g., by standardizing the multivariate data or by transforming the data to an invariant coordinate system (ICS). In this paper, standardization of multivariate distributions and characteristics of ICS functionals and statistics are examined. Also, invariances up to some groups of transformations are discussed. Constructions of ICS functionals are addressed. In particular, the construction based on the use of two scatter matrix functionals presented by Tyler et al. (2009) and direct definitions based on the approach presented by Chaudhuri & Sengupta (1993) are examined. Diverse applications of ICS functionals are discussed.     

Core equivalence theorem: countably many types of agents and commodities in $\vec{L}^{1}(\mu)$

Abstract  We prove a core-Walras equivalence result for a finitely additive confederate economy with commodity space L¹(μ) and a measurable bounded map of extremely desirable commodities: when the map of extremely desirable commodities is simply bounded the properness of preferences is no longer equivalent to the existence of just one extremely desirable commodity as assumed in the countably additive model by Rustichini and Yannelis. Mathematics Subject Classification: 91B50, 91B54; 28B20, 46A22, 28A25 Journal of Economic Literature Classification: D51; C02     

Accuracy of self-reports on donations to charitable organizations

In this paper we assess overall accuracy in survey self-reports on giving to charitable organizations, direction of bias in self-reports, and the influence of this bias on relationships. We compare donations to one specific health charity reported in the Giving in the Netherlands Panel Study 2003 with donations recorded in the database (n =  191). We find that (a) reported donations are significantly higher than recorded donations; (b) reported amounts contributed are correlated very strongly with recorded contributions; (c) differences between amounts reported and amounts recorded are positively related to education, religious affiliation, and the tendency to social desirability, and negatively to household income. This suggests that effects of education are overestimated and effects of income and religious affiliation are underestimated using self-reports on donations rather than archival records.     

DEFICIENCIES AND THE PERPETUATION OF POWER: LATENT FUNCTIONS IN MANAGEMENT APPRAISAL

Institutionalized procedures for management appraisal are considered to be necessary and appropriate devices which contribute to and are supported by rational-legal ideologies of organization. The operation of such appraisal systems, however, is frequently regarded as deficient. This article discusses three inter-related propositions. They are that: 1. the rational-legal procedures of appraisal systems contradict the social processes by means of which dominant organizational power groups emerge, cohere and are perpetuated; 2. management appraisal systems consequently come to operate in ways which manifestly are consistent with a rational-legal ideology, but which do not constrain the prerogatives of members of dominant power groups to define reality and manage affairs in their own interests; and that 3. this inconsistency fulfils a latent function of perpetuating deficiency in the operation of management appraisal systems.     

Stochastic productivity measurement

Stochastic productivity indicators are defined, and superlative measures of these indicators are derived. It is shown that, in the presence of complete markets or a common-expectations equilibrium, differences in the market values of firms are superlative indicators of cross-sectional productivity differences. Exactness results are used to decompose nonstochastic productivity indicators into a measure of true productivity change and a measure of ‘luck’. The decomposition is illustrated empirically.