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Constructs capturing health or functioning can have reflective and/or formative measurement models. Although a construct's measurement model has extensive implications on the construction, validation, and use of a measurement instrument, measurement models are frequently wrongly or not explicitly specified. As this is likely due to a lack of guidelines, this study uses sustainable employability as an example to demonstrate a) the applicability of an adapted checklist for establishing a construct's measurement model; and b) the use of structural equation modeling to handle formative constructs. First, the checklist is applied to sustainable employability to establish its measurement model. Second, using observational self-report data from 2,544 employees, structural equation models are estimated to evaluate the structural and criterion validity of sustainable employability as a formative construct. The checklist demonstrates strong applicability, identifying sustainable employability as a formative construct. Model fit indices (Comparative fit indices ≥ 0.932, Tucker-Lewis indices ≥ 0.925, root mean square errors of approximation ≤ 0.034) suggest the formative measurement model for sustainable employability is valid. The checklist and structural equation modeling facilitate handling formative constructs. By establishing sustainable employability as a formative construct, individuals' long term ability to function at work can be more adequately studied and intervened upon.

Flow measurement in gas-liquid two-phase flow is always a challenging work, because of the non-uniform phase distribution, severe slippage effect between phases, and different flow structures. Furthermore, the variation of salinity changes the water conductivity, which brings more difficulties to multiphase flow measurement. In this study, a methodology for flow measurement using the conductance method in gas-liquid two-phase flow with salinity change is proposed. The methodology includes the suitable conductivity detection method, the strategy of using combined sensors, and the measurement models of flow parameters. A suitable conductivity detection method that can guarantee that the sensor output is linearly proportional to the conductivity is proposed. This conductivity detection method can ensure that the sensors have a high and constant resolution in the conductivity variation caused by water holdup under the conditions of water conductivity change. Afterward, a combined sensor system consisting of a water holdup sensor, velocity sensor, and water conductivity sensor is designed and experimentally evaluated in gas-water two-phase flow in a 20 mm inner diameter pipe. Considering the non-uniform phase distribution, severe slippage effect between phases, different flow structures, and the variation of salinity, a new water holdup measurement model and flow velocity measurement models are established to achieve salinity independent water holdup measurement and flow velocity measurement for the first time.

A multimodel assessment of the performance of chemistry‐climate models (CCMs) in the extratropical upper troposphere/lower stratosphere (UTLS) is conducted for the first time. Process‐oriented diagnostics are used to validate dynamical and transport characteristics of 18 CCMs using meteorological analyses and aircraft and satellite observations. The main dynamical and chemical climatological characteristics of the extratropical UTLS are generally well represented by the models, despite the limited horizontal and vertical resolution. The seasonal cycle of lowermost stratospheric mass is realistic, however with a wide spread in its mean value. A tropopause inversion layer is present in most models, although the maximum in static stability is located too high above the tropopause and is somewhat too weak, as expected from limited model resolution. Similar comments apply to the extratropical tropopause transition layer. The seasonality in lower stratospheric chemical tracers is consistent with the seasonality in the Brewer‐Dobson circulation. Both vertical and meridional tracer gradients are of similar strength to those found in observations. Models that perform less well tend to use a semi‐Lagrangian transport scheme and/or have a very low resolution. Two models, and the multimodel mean, score consistently well on all diagnostics, while seven other models score well on all diagnostics except the seasonal cycle of water vapor. Only four of the models are consistently below average. The lack of tropospheric chemistry in most models limits their evaluation in the upper troposphere. Finally, the UTLS is relatively sparsely sampled by observations, limiting our ability to quantitatively evaluate many aspects of model performance.

This paper highlights the human resources (HR) or behaviour-related success factors in construction projects, and these are training, understanding, co-worker support, future prospects, authentic leadership, and affective commitment. There exists discrepancies in existing literature regarding the factor structure of organisational socialisation and authentic leadership. Therefore, this study aims to explore the factor structure of socialisation, authentic leadership and affective commitment. Data was gathered from 301 newly joined construction professionals and Confirmatory Factor Analysis (CFA) was conducted to examine the factor structure for organisational socialisation, authentic leadership and affective commitment. A measurement model was further developed using the domains of organisational socialisation, authentic leadership and affective commitment. The results of CFA revealed that there exists four zero-order factor structure for organisational socialisation, and one zero-order factor structure for authentic leadership. The study contributes to both the researcher and practitioner communities by integrating the three constructs and validating the factor structure in the new context (i.e. construction). Further, the study contributes towards improving HR processes, namely, training, reward system, and induction process. It also helps in augmenting the authenticity among the project participants.

This study was conducted to produce empirical evidence of validity and reliability of a set of questionnaire. Questionnaire drawn from the results of previous studies and the validity of the tests will determine whether all aspects of the construct domain were represented, thus ensuring the high objectivity level of the questionnaire. In addition, an alternative approach was used to assess the discriminant validity, using heterotrait-monotrait ratio of correlations. The study empirically proves that the questionnaire used is unchanged by culture. This is important because if not, its use will be restricted to a population in which the questionnaire was developed. The proposed method is better in which to enhance and improved the discriminant validity, using heterotrait-monotrait ratio of correlations. The results of the analysis in the measurement model indicated that the questionnaire meets the standards of reliability and construct validity.

This paper presents the study of a measurement model of professional operation of state administration. From the perspective of reliable performance of state functions, the professional operation of state administration represents one of the goals of social change. Based on theoretical-analytical findings, a measurement model of professional operation of state administration was designed. It consists of three dimensions, namely: reliability of state administration, professionalisation of the administrative profession, and competence of employees. The reliability dimension is represented by the element of legality and economic efficiency, the profession dimension is based on power, autonomy, knowledge and responsibility, and the competence dimension includes elements of leadership and ethics. The measurement model was tested in the Slovenian state administration. The results of the research confirm the connection between the three aforementioned dimensions of professional operation of state administration and, consequently, the validity of the designed model.

This study aims to specify and assess friendship quality as a third-order formative construct and provide empirical support for its measurement model. This study employed a quantitative research approach using a survey questionnaire to collect data from 415 Malaysian secondary school students. Partial least squares-structural equation modeling (PLS-SEM) approach using WarpPLS 5.0 software was utilised to analyse the data. The findings confirmed the convergent and discriminant validity of eight reflective first-order constructs establishing validity and reliability of five formative second-order constructs. The analysis of third-order formative friendship quality construct revealed that Variance Inflation Factor (VIF) was found lower than five and the outer weights were significant at the level of .05. This study extends the knowledge in friendship quality literature by proposing a third-order formative friendship quality construct including four formative second-order constructs. Moreover, applying new algorithms of PLS-SEM for assessing and establishing measurement model of the third-order friendship quality construct offers methodological contribution of the study.

PurposeOne popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT). However, the HTMT assumes tau-equivalent measurement models, which are unlikely to hold for most empirical studies. To relax this assumption, the authors modify the original HTMT and introduce a new consistent measure for congeneric measurement models: the HTMT2.Design/methodology/approachThe HTMT2 is designed in analogy to the HTMT but relies on the geometric mean instead of the arithmetic mean. A Monte Carlo simulation compares the performance of the HTMT and the HTMT2. In the simulation, several design factors are varied such as loading patterns, sample sizes and inter-construct correlations in order to compare the estimation bias of the two criteria.FindingsThe HTMT2 provides less biased estimations of the correlations among the latent variables compared to the HTMT, in particular if indicators loading patterns are heterogeneous. Consequently, the HTMT2 should be preferred over the HTMT to assess discriminant validity in case of congeneric measurement models.Research limitations/implicationsHowever, the HTMT2 can only be determined if all correlations between involved observable variables are positive.Originality/valueThis paper introduces the HTMT2 as an improved version of the traditional HTMT. Compared to other approaches assessing discriminant validity, the HTMT2 provides two advantages: (1) the ease of its computation, since HTMT2 is only based on the indicator correlations, and (2) the relaxed assumption of tau-equivalence. The authors highly recommend the HTMT2 criterion over the traditional HTMT for assessing discriminant validity in empirical studies.

Purpose The purpose of this paper is to assess the appropriateness of equal weights estimation (sumscores) and the application of the composite equivalence index (CEI) vis-à-vis differentiated indicator weights produced by partial least squares structural equation modeling (PLS-SEM). Design/methodology/approach The authors rely on prior literature as well as empirical illustrations and a simulation study to assess the efficacy of equal weights estimation and the CEI. Findings The results show that the CEI lacks discriminatory power, and its use can lead to major differences in structural model estimates, conceals measurement model issues and almost always leads to inferior out-of-sample predictive accuracy compared to differentiated weights produced by PLS-SEM. Research limitations/implications In light of its manifold conceptual and empirical limitations, the authors advise against the use of the CEI. Its adoption and the routine use of equal weights estimation could adversely affect the validity of measurement and structural model results and understate structural model predictive accuracy. Although this study shows that the CEI is an unsuitable metric to decide between equal weights and differentiated weights, it does not propose another means for such a comparison. Practical implications The results suggest that researchers and practitioners should prefer differentiated indicator weights such as those produced by PLS-SEM over equal weights. Originality/value To the best of the authors’ knowledge, this study is the first to provide a comprehensive assessment of the CEI’s usefulness. The results provide guidance for researchers considering using equal indicator weights instead of PLS-SEM-based weighted indicators.

Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. We demonstrate its superior performance by means of a Monte Carlo simulation study, in which we compare the new approach to the Fornell-Larcker criterion and the assessment of (partial) cross-loadings. Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling.