scholarly journals Basic Values Survey (BVS) - A 20-nation validation study

2020 ◽  
Author(s):  
Roosevelt Vilar
Keyword(s):  
Human Values ◽  
Alignment Method ◽  
Functional Theory ◽  
Multiple Group ◽  
Group Data ◽  
Confirmatory Factor ◽  
Approximate Zero ◽  
Approximate Bayesian ◽  
Ml Estimator ◽  
Residual Correlations

Abstract. The present paper tests the structure and invariance of the Functional Theory of Human Values across 20 countries (N = 21,362). This theory proposes that values have the functions of guiding behaviour and expressing needs. The interplay between these two functions produces six subfunctions that in turn produce distinct content. These subfunctions are operationalised in the Basic Values Survey with three items each, forming an 18-item measure. Although this measure has been used for more than two decades, studies examining its psychometric properties in multiple-group data are scarce. Using multidimensional scaling (MDS), it was found that values were organised in a bidimensional space according to the hypothesised degree of congruence between subfunctions. Also, Confirmatory Factor Analysis (CFA) with a Bayes estimator and approximate zero cross-loadings and residual correlations supported the six-factor structure. A strict CFA with Robust-ML estimator did not support the model. Metric invariance was supported for all the items, except religiosity, using the alignment method and approximate Bayesian invariance.

scholarly journals Basic Values Survey (BVS) - A 20-nation validation study

2019 ◽  
Author(s):  
Roosevelt Vilar
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Validation Study ◽  
Dimensional Space ◽  
Human Values ◽  
Latent Factors ◽  
Functional Theory ◽  
Multiple Group ◽  
Group Data ◽  
Confirmatory Factor

The present paper tests the structure and invariance of the Functional Theory of Human Values across 20 countries (N = 21,362). The functional theory proposes that values have the functions of guiding behavior and expressing needs, and the interplay between these two functions should originate six subfunctions. This theory is operationalized through an instrument composed by 18 items (Basic Values Survey), in which each of the six subfunction is represented by three items. Although this instrument is being used for more than two decades, studies examining its psychometric properties in multiple-group data are scarce. Using Multidimensional scaling (MDS), it has been found that values are organized in a bi-dimensional space according to the hypothesized degree of congruence between subfunctions. Also, Bayesian approximate invariance showed that the three items that compose each subfunction are invariant across the 20 countries, except for one item (religiosity). More strict approaches using confirmatory factor analysis (CFA) and multiple-group CFA suggest that some of the items should be refined to represent clearer latent factors.

scholarly journals Comparing alignment and multiple group CFA for analysing political trust in europe during the crisis

Methodology ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 21-40 ◽  
Author(s):  
Lluís Coromina ◽  
Edurne Bartolomé Peral
Keyword(s):  
Political Institutions ◽  
Political Trust ◽  
Cross Cultural ◽  
Point Of View ◽  
Alignment Method ◽  
Multiple Group ◽  
Trust In Institutions ◽  
Confirmatory Factor ◽  
Western Democracies ◽  
Economic And Financial Crisis

Institutional trust is in decline in many western democracies. Since the 2008 global economic and financial crisis, this increasing distrust has been closely related to trust in political institutions. Trust in institutions is one of the pillars of democracy, and its decline is one of the most evident and shared symptoms of the recession, especially in those contexts where it has been particularly acute. This article has both substantive and methodological aims. From a substantive point of view, it deals with trust in political institutions in Europe, and its decline during the recession. Differences are found among European countries, depending on the severity of the economic crisis. From a methodological point of view, the article compares two methodologies for cross-cultural analyses: the more traditional Multiple-Group Confirmatory Factor Analysis, and the newer Alignment method. Recommendations for the use of the newer method in certain circumstances are provided.

An Adapted Measure of Teacher Self-Efficacy for Preservice Teachers: Exploring its Validity Across two Countries

2014 ◽  
Vol 28 (3) ◽  
pp. 83-92 ◽  
Author(s):  
Franziska Pfitzner-Eden ◽  
Felicitas Thiel ◽  
Jenny Horsley
Keyword(s):  
Preservice Teachers ◽  
Self Efficacy ◽  
Confirmatory Factor Analyses ◽  
3 Dimensional ◽  
Multiple Group ◽  
Three Samples ◽  
Confirmatory Factor ◽  
Teacher Self Efficacy ◽  
Dimensional Assessment ◽  
Metric Measurement

Teacher self-efficacy (TSE) is an important construct in the prediction of positive student and teacher outcomes. However, problems with its measurement have persisted, often through confounding TSE with other constructs. This research introduces an adapted TSE instrument for preservice teachers, which is closely aligned with self-efficacy experts' recommendations for measuring self-efficacy, and based on a widely used measure of TSE. We provide first evidence of construct validity for this instrument. Participants were 851 preservice teachers in three samples from Germany and New Zealand. Results of the multiple-group confirmatory factor analyses showed a uniform 3-factor solution for all samples, metric measurement invariance, and a consistent and moderate correlation between TSE and a measure of general self-efficacy across all samples. Despite limitations to this study, there is some first evidence that this measure allows for a valid 3-dimensional assessment of TSE in preservice teachers.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

Longitudinal and Gender Measurement Invariance of the Gratitude Questionnaire in Chinese Adolescents

2021 ◽  
pp. 003329412110360
Author(s):  
Qingsong Tan ◽  
Jilin Zou ◽  
Feng Kong
Keyword(s):  
Measurement Invariance ◽  
Time Interval ◽  
Longitudinal Measurement Invariance ◽  
Multiple Group ◽  
Longitudinal Measurement ◽  
Confirmatory Factor ◽  
Adolescent Sample ◽  
Good Internal Consistency ◽  
And Gender ◽  
Mean Differences

The 5-item Gratitude Questionnaire (GQ-5) is one of the most commonly used instruments to measure dispositional gratitude in adolescents. The purpose of this study was to verify the longitudinal measurement invariance (LMI) and gender measurement invariance (GMI) of the GQ-5 that was administered to an adolescent sample twice over the course of 18 months ( N = 669). Single-group confirmatory factor analysis (CFA) was adopted to examine the LMI and multiple-group CFA was conducted to assess the GMI. The results showed that the GQ-5 had strong invariance (i.e., equality of factor patterns, loadings, and intercepts) across time and gender. Validation of latent factor mean differences showed that females had higher gratitude scores than males. In addition, the GQ-5 exhibited good internal consistency indices across time and a moderate stability coefficient was also found across an 18-month time interval in adolescents. In summary, our study showed that LMI and GMI of the GQ-5 are satisfactory and the GQ-5 is a reliable instrument for measuring gratitude in adolescents.

scholarly journals The English and Chinese language versions of the Short Form 12-item Health Survey are equivalent

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Daniel Y. T. Fong ◽  
Janet Y. H. Wong ◽  
Edmond P. H. Choi ◽  
K. F. Lam ◽  
C. Kwok
Keyword(s):  
Measurement Invariance ◽  
Health Survey ◽  
Short Form ◽  
Cross Sectional Study ◽  
Measurement Properties ◽  
University Campus ◽  
Cross Sectional ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
The Difference

Abstract Background The Short Form 12-item Health Survey (SF-12v2) was originally developed in English, but it is also available in Hong Kong (HK) Chinese. While both language versions had their measurement properties well assessed in their respective populations, their measurement invariance in scores has not been examined. Therefore, we aimed to assess their measurement invariance. Methods We conducted a cross-sectional study on individuals aged 18 years or older at a university campus. Those who were bilingual in English and Chinese were randomly assigned to self-complete either the standard English or the HK Chinese SF-12v2. Measurement invariance of the two components and eight scales of the SF-12v2 was concluded if the corresponding 90% confidence interval (CI) for the difference between the two language versions entirely fell within the minimal clinically important difference of ± 3 units. Multiple-group confirmatory factor analysis (CFA) was also performed. Results A total of 1013 participants completed the SF-12v2 (496 in English and 517 in HK Chinese), with a mean age of 22 years (Range 18–58), and 626 participants (62%) were female. There were no significant differences in demographics. Only the physical and mental components and the mental health (MH) scale had their 90% CIs (0.21 to 1.61, − 1.00 to 0.98, and − 0.86 to 2.84, respectively) completely fall within the ± 3 units. The multiple-group CFA showed partial strict invariance. Conclusions The English and HK Chinese versions of the SF-12v2 can be used in studies with their two components and MH scores pooled in the analysis.

scholarly journals Multiple Group Confirmatory Factor Analysis of the DASS-21 Depression and Anxiety Scales: How Do They Perform in a Cancer Sample?

2017 ◽  
Vol 121 (3) ◽  
pp. 548-565 ◽  
Author(s):  
Rina S. Fox ◽  
Teresa A. Lillis ◽  
James Gerhart ◽  
Michael Hoerger ◽  
Paul Duberstein
Keyword(s):  
Factor Analysis ◽  
Standard Deviation ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Cancer Patients ◽  
Internal Consistency Reliability ◽  
Total Sample ◽  
Depression And Anxiety ◽  
Multiple Group ◽  
Confirmatory Factor

The DASS-21 is a public domain instrument that is commonly used to evaluate depression and anxiety in psychiatric and community populations; however, the factor structure of the measure has not previously been examined in oncologic settings. Given that the psychometric properties of measures of distress may be compromised in the context of symptoms related to cancer and its treatment, the present study evaluated the psychometric properties of the DASS-21 Depression and Anxiety scales in cancer patients ( n = 376) as compared to noncancer control participants ( n = 207). Cancer patients ranged in age from 21 to 84 years (mean = 58.3, standard deviation = 10.4) and noncancer control participants ranged in age from 18 to 81 years (mean = 45.0, standard deviation = 11.7). Multiple group confirmatory factor analysis supported the structural invariance of the DASS-21 Depression and Anxiety scales across groups; the factor variance/covariance invariance model was the best fit to the data. Cronbach’s coefficient alpha values demonstrated acceptable internal consistency reliability across the total sample as well as within subgroups of cancer patients and noncancer control participants. Expected relationships of DASS-21 Depression and Anxiety scale scores to measures of suicidal ideation, quality of life, self-rated health, and depressed mood supported construct validity. These results support the psychometric properties of the DASS-21 Depression and Anxiety scales when measuring psychological distress in cancer patients.

scholarly journals Psychometric properties of the Dresden Body Image Questionnaire: A multiple-group confirmatory factor analysis across sex and age in a Dutch non-clinical sample

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0181908 ◽  
Author(s):  
Mia Scheffers ◽  
Marijtje A. J. van Duijn ◽  
Ruud J. Bosscher ◽  
Durk Wiersma ◽  
Robert A. Schoevers ◽  
...  
Keyword(s):  
Body Image ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Clinical Sample ◽  
Multiple Group ◽  
Confirmatory Factor
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