scholarly journals Measurement invariance of the Illness Invalidation Inventory (3*I) across language, rheumatic disease and gender

2013 ◽  
Vol 73 (3) ◽  
pp. 551-556 ◽  
Author(s):  
Marianne Belia Kool ◽  
Rens van de Schoot ◽  
Isabel López-Chicheri García ◽  
Ricarda Mewes ◽  
José A P Da Silva ◽  
...  
Keyword(s):  
Rheumatic Disease ◽  
Measurement Invariance ◽  
Rheumatic Diseases ◽  
Future Research ◽  
Dutch Version ◽  
Confirmatory Factor Analyses ◽  
Online Study ◽  
Multiple Group ◽  
Antecedents And Consequences ◽  
And Gender

ObjectivesThe Illness Invalidation Inventory (3*I) assesses patients’ perception of responses of others that are perceived as denying, lecturing, not supporting and not acknowledging the condition of the patient. It includes two factors: ‘discounting’ and ‘lack of understanding’. In order to use the 3*I to compare and pool scores across groups and countries, the questionnaire must have measurement invariance; that is, it should measure identical concepts with the same factor structure across groups. The aim of this study was to examine measurement invariance of the 3*I across rheumatic diseases, gender and languages.MethodsParticipants with rheumatic disease from various countries completed an online study using the 3*I, which was presented in Dutch, English, French, German, Portuguese and Spanish; 6057 people with rheumatic diseases participated. Single and multiple group confirmatory factor analyses were used to test the factorial structure and measurement invariance of the 3*I with Mplus.ResultsThe model with strong measurement invariance, that is, equal factor loadings and thresholds (distribution cut-points) across gender and rheumatic disease (fibromyalgia vs other rheumatic diseases) had the best fit estimates for the Dutch version, and good fit estimates across the six language versions.ConclusionsThe 3*I showed measurement invariance across gender, rheumatic disease and language. Therefore, it is appropriate to compare and pool scores of the 3*I across groups. Future research may use the questionnaire to examine antecedents and consequences of invalidation as well as the effect of treatments targeting invalidation.

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 Prognosis of Patients with Rheumatic Diseases Admitted to Intensive Care

2017 ◽  
Vol 45 (1) ◽  
pp. 67-72 ◽  
Author(s):  
M. Beil ◽  
S. Sviri ◽  
V. de la Guardia ◽  
I. Stav ◽  
E. Ben-Chetrit ◽  
...  
Keyword(s):  
Intensive Care ◽  
Rheumatic Disease ◽  
Rheumatic Diseases ◽  
Matched Control ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Control Group ◽  
Control Groups ◽  
Predicting Outcome ◽  
And Gender

Variable mortality rates have been reported for patients with rheumatic diseases admitted to an intensive care unit (ICU). Due to the absence of appropriate control groups in previous studies, it is not known whether the presence of a rheumatic disease constitutes a risk factor. Moreover, the accuracy of the Acute Physiology and Chronic Health Evaluation II (APACHE II) score for predicting outcome in this group of patients has been questioned. The primary goal of this study was to compare outcome of patients with rheumatic diseases admitted to a medical ICU to those of controls. The records of all patients admitted between 1 April 2003 and 30 June 2014 (n=4020) were screened for the presence of a rheumatic disease during admission (n=138). The diagnosis of a rheumatic disease was by standard criteria for these conditions. An age- and gender-matched control group of patients without a rheumatic disease was extracted from the patient population in the database during the same period (n=831). Mortality in ICU, in hospital and after 180 days did not differ significantly between patients with and without rheumatic diseases. There was no difference in the performance of the APACHE II score for predicting outcome in patients with rheumatic diseases and controls. This score, as well as a requirement for the use of inotropes or vasopressors, accurately predicted hospital mortality in the group of patients with rheumatic diseases. In conclusion, patients with a rheumatic condition admitted to intensive care do not do significantly worse than patients without such a disease.

scholarly journals Are we measuring loneliness in the same way in men and women in the general population and in the older population? Two studies of measurement equivalence.

2021 ◽  
Author(s):  
Thomas Victor Pollet ◽  
Alexandra Thompson ◽  
Connor Malcolm ◽  
Kris McCarty ◽  
Tamsin Saxton ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Factor Model ◽  
Dimensional Structure ◽  
Future Research ◽  
Men And Women ◽  
Loneliness Scale ◽  
Wide Circle ◽  
Best Fitting ◽  
Nationally Representative ◽  
And Gender

Background: High levels of loneliness are associated with negative health outcomes and there are several different types of intervention targeted at reducing feelings of loneliness. It is therefore important to accurately measure loneliness. A key unresolved debate in the conceptualisation and measurement of loneliness is whether it has a unidimensional or multidimensional structure. One of the most widely used scales to measure loneliness is the UCLA Loneliness Scale. The aim of this study was to examine the dimensional structure of this scale and establish whether this factorial structure is equivalent in men and women. Methods and Sample: Two online UK-based samples were recruited using Prolific. The participants in Study 1 were 492 adults, selected to be nationally representative by age and gender, whilst the participants in Study 2 were 290 older adults aged over 64. In both studies, participants completed the UCLA Loneliness Scale (version 3) as part of a larger project. Results: In both studies, the best fitting model was one with three factors corresponding to Isolation, Relational Connectedness and Collective Connectedness. A unidimensional single factor model was a substantially worse fit in both studies. In both studies, there were no meaningful differences between men and women in any of the three factors, suggesting measurement invariance across genders. Conclusion: The findings of this study are consistent with previous research in supporting a multidimensional, three factor structure to the UCLA scale, rather than a unidimensional structure. Further, the measurement invariance across genders suggests that the UCLA scale can be used to compare levels of loneliness across men and women. Overall the results suggest that loneliness has different facets and that people can be satisfied with some aspects of their social relationships (e.g. a wide circle of friends), whilst dissatisfied with others (e.g. lack of emotionally close relationships). Thus future research on loneliness should consider treating the UCLA loneliness scale as a multidimensional scale, or using other scales which are designed to measure the different aspects of loneliness.

scholarly journals The Academic Buoyancy Scale: Measurement Invariance across Culture and Gender in Egyptian and Omani Undergraduates

2021 ◽  
Vol 10 (4) ◽  
pp. 2121-2131
Author(s):  
Mustafa Ali ◽  
Mohammed A.
Keyword(s):  
Measurement Invariance ◽  
A Priori ◽  
Evidence Based ◽  
Validity Evidence ◽  
Academic Buoyancy ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Score Reliability ◽  
And Gender ◽  
Gender Groups

<p style="text-align: justify;">The academic buoyancy scale (ABS) is one of the most widely used instruments for measuring academic buoyancy. To obtain meaningful and valid comparisons across groups using ABS, however, measurement invariance should be ascertained a priori. To that end, we examined its measurement invariance, validity evidence based on relations to other variables, and score reliability using categorical omega across culture and gender among Egyptian and Omani undergraduates. Participants were 345 college students: Egyptian sample (N=191) and Omani sample (N=154). To assess measurement invariance across culture and gender, multiple–group confirmatory factor analysis was performed with four successive invariance models: (a) configural, (b) metric, (c) scalar, and (d) residual. Results revealed that the unidimensional baseline model had adequate fit to the data in the full sample. Moreover, measurement invariance was found to hold across culture but not across gender and consequently the ABS could be used to yield valid cross-cultural comparisons between the Egyptian and Omani students. Conversely, it cannot be used to yield valid inferences related to comparing gender groups within each culture. Validity evidence based on relations to other variables was supported by the significantly moderate correlation between ABS and academic achievement (GPA; r =.435 and r = .457, P < .01) for the Egyptian and Omani samples, respectively. With regard to score reliability, categorical omega coefficients were moderate across both samples. Educational and psychological implications, limitations and suggestions for improving the scale are discussed.</p>

Construction and Factorial Structure of a Short Version of the Trendsetting Questionnaire (TDS-K)

2008 ◽  
Vol 24 (2) ◽  
pp. 88-94 ◽  
Author(s):  
Bernad Batinic ◽  
Hans-Georg Wolff ◽  
Christiane M. Haupt
Keyword(s):  
Measurement Invariance ◽  
Online Survey ◽  
Short Version ◽  
Confirmatory Factor Analyses ◽  
Multiple Group ◽  
Wide Range ◽  
Confirmatory Factor ◽  
Partial Invariance ◽  
Administration Methods ◽  
Broad Interest

This paper reports the development of a short version of the trendsetting questionnaire (TDS; Batinic, Haupt, & Wieselhuber, 2006 ). According to Batinic et al., individuals high on trendsetting keep an eye open for new trends and have a broad interest in innovations. They inform a wide range of others and explain to them the value of innovations, and they recommend specific products to friends and acquaintances. Empirical criteria as well as substantive criteria were used to select nine items representing the three subtypes of the trendsetting model: input, throughput, and output. Dimensionality and measurement invariance of the short version (TDS-K) were examined in two offline surveys (N = 2,001 and 948) and two online surveys (N = 4,450 and 12,087). Multiple group confirmatory factor analyses supported the unidimensionality of the measure and showed that measurement invariance held within each of the administration methods (offline vs. online survey), but only partial invariance held across these methods.

scholarly journals The Big Five Across Socioeconomic Status: Measurement Invariance, Relationships, and Age Trends

2020 ◽  
Author(s):  
Bradley T Hughes ◽  
Cory Kennedy Costello ◽  
Joshua Pearman ◽  
Pooya Razavi ◽  
Cianna Bedford-Petersen ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Measurement Invariance ◽  
Big Five ◽  
Developmental Trajectories ◽  
Personality Development ◽  
Future Research ◽  
Occupational Prestige ◽  
Online Study ◽  
Age Trends ◽  
Future Work

Stage 1 Registered Report: Associations between socioeconomic status (SES) and personality, traits and developmental trajectories, have important implications for theory and application. Progress in understanding these associations depends on evaluating how well personality measures function in socioeconomically diverse samples. In the present study, we will use the confirmatory dataset from AIID, a large online study, to address three basic questions about personality and SES. First, we will evaluate the measurement invariance of a common measure of personality, the Big Five Inventory, across indicators of education, income, and occupational prestige. Second, we will estimate previously reported associations between SES indicators and personality in new data to see if they align with past evidence. Third, we will test whether mean-level age trends in personality generalize across levels of SES. The results will have important implications for the validity of past and future research on associations between personality and SES. Additionally, the results will provide insight into differences in personality development trajectories that can inform future work investigating the causal mechanisms between personality and SES.

scholarly journals Forgiveness in the Context of Divorce: A Cross-Cultural Measurement Invariance Study via Multiple-Group Factor Analysis (CFA) across Chile and Spain

2021 ◽  
Vol 18 (16) ◽  
pp. 8236
Author(s):  
Diana Rivera-Ottenberger ◽  
Mónica Guzmán-González ◽  
Carlos Calderón ◽  
Sagrario Yárnoz-Yaben ◽  
Priscila Comino
Keyword(s):  
Measurement Invariance ◽  
Initial Step ◽  
Cross Cultural ◽  
Confirmatory Factor Analyses ◽  
Invariance Testing ◽  
Cross Cultural Differences ◽  
Multiple Group ◽  
Cultural Field ◽  
Confirmatory Factor ◽  
The Cross

(1) Background: Current research on the factors involved in the adaptation process to divorce or separation has explored cross-cultural differences. An initial step in the cross-cultural field is to investigate whether the measurements applied are comparable in different cultural contexts. The aim of the present study is to test the measurement invariance of the Questionnaire of Forgiveness in Divorce-Separation (CPD-S); (2) Methods: The CPD-S was completed by 556 (M = 44.52, SD = 10.18) and 240 (M = 41.44, SD = 7.87) Chilean and Spanish divorced individuals, respectively. Confirmatory factor analyses in single samples and measurement invariance testing in a multi-group framework were conducted to test the cross-group equivalence; (3) Results: The single-factor structure of the CPD-S was supported in both countries. Measurement invariance analysis demonstrated that the CPD-S had partial scalar measurement invariance; (4) Conclusions: The evidence supports the conclusion that CPD-S operates similarly across both countries. Findings are discussed from a cross-cultural and methodological perspective.

scholarly journals Examining Measurement Invariance of Depression among Male and Female in Chinese Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 860-860
Author(s):  
Roberto Melipillán ◽  
Mengyao Hu
Keyword(s):  
Older Adults ◽  
Measurement Invariance ◽  
Epidemiological Studies ◽  
Difficult Problem ◽  
Health Concern ◽  
Confirmatory Factor Analyses ◽  
Male And Female ◽  
Chinese Older Adults ◽  
Multiple Group ◽  
Cultural Research

Abstract Depression of older adults is an important public health concern. With the increasing popularity of cross-cultural research and comparison studies, researchers are facing a difficult problem: responses to the depression scales obtained from different population groups may not always be comparable. This study examines the measurement invariance of the 10-item version of the Center for Epidemiological Studies Depression (CES-D) Scale across male and female in Chinese older adults. Data are drawn from the baseline wave of the China Health and Retirement Survey (CHARLS), a national survey conducted biennially with a sample of the Chinese population who are 45 years of age or older. The final sample size includes 15,977 respondents; 53.2% of whom are female. The mean age for the sample is 58.3 (SD = 10.2). Measurement invariance (MI) tests based on Multiple Group Categorical Confirmatory Factor Analyses (MGCCFA) was performed. Results show that full scalar model was not supported, and question items invariant across groups were identified. These results indicate that any mean comparisons of CES-D across Chinese male and female older adults not accounting for the noninvariance in the items could be biased, highlighting the importance of performing MI tests before conducting mean comparisons across groups.

scholarly journals Measuring vincristine-induced peripheral neuropathy in children with cancer: validation of the Dutch pediatric–modified Total Neuropathy Score

2019 ◽  
Vol 28 (6) ◽  
pp. 2867-2873 ◽  
Author(s):  
S. M. Schouten ◽  
M. E. van de Velde ◽  
G. J. L. Kaspers ◽  
L. B. Mokkink ◽  
I. M. van der Sluis ◽  
...  
Keyword(s):  
Peripheral Neuropathy ◽  
Measurement Error ◽  
Construct Validity ◽  
Pediatric Oncology ◽  
Future Research ◽  
Healthy Controls ◽  
Validity And Reliability ◽  
Dutch Version ◽  
Smallest Detectable Change ◽  
And Gender

Abstract Purpose The aims were to evaluate the construct validity and reliability of the Dutch version of the pediatric-modified Total Neuropathy Score (ped-mTNS) for assessing vincristine-induced peripheral neuropathy (VIPN) in Dutch pediatric oncology patients aged 5–18 years. Methods Construct validity (primary aim) of the ped-mTNS was determined by testing hypotheses about expected correlation between scores of the ped-mTNS (range: 0–32) and the Common Terminology Criteria for Adverse Events (CTCAE) (range: 0–18) for patients and healthy controls and by comparing patients and controls regarding their total ped-mTNS scores and the proportion of children identified with VIPN. Inter-rater and intra-rater reliability and measurement error (secondary aims) were assessed in a subgroup of study participants. Results Among the 112 children (56 patients and 56 age- and gender-matched healthy controls) evaluated, correlation between CTCAE and ped-mTNS scores was as expected (moderate (r = 0.60)). Moreover, as expected, patients had significantly higher ped-mTNS scores and more frequent symptoms of VIPN compared with controls (both p < .001). Reliability as measured within the intra-rater group (n = 10) (intra-class correlation coefficient (ICCagreement) = 0.64, standard error of measurement (SEMagreement) = 2.92, and smallest detectable change (SDCagreement) = 8.1) and within the inter-rater subgroup (n = 10) (ICCagreement = 0.63, SEMagreement = 3.7, and SDCagreement = 10.26) indicates insufficient reliability. Conclusion The Dutch version of the ped-mTNS appears to have good construct validity for assessing VIPN in a Dutch pediatric oncology population, whereas reliability appears to be insufficient and measurement error high. To improve standardization of VIPN assessment in children, future research aimed at evaluating and further optimizing the psychometric characteristics of the ped-mTNS is needed.

scholarly journals Measurement Invariance Testing Using Confirmatory Factor Analysis and Alignment Optimization: A Tutorial for Transparent Analysis Planning and Reporting

2021 ◽  
Author(s):  
Jessica Kay Flake ◽  
Raymond Luong
Keyword(s):  
Measurement Invariance ◽  
Traditional Approach ◽  
Research Question ◽  
Measurement Properties ◽  
Confirmatory Factor Analyses ◽  
Invariance Testing ◽  
Measurement Models ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Traditional Approaches

Measurement invariance—the notion that the measurement properties of a scale are equalacross groups, contexts, or time—is an important assumption underlying much of psychology research. The traditional approach for evaluating measurement invariance is to fit a series of nested measurement models using multiple-group confirmatory factor analyses. However, traditional approaches are strict, vary across the field in implementation, and present multiplicity challenges, even in the simplest case of two groups under study. The alignment method was recently proposed as an alternative approach. This method is more automated, requires fewer decisions from researchers, and accommodates two or more groups. However, it has different assumptions, estimation techniques, and limitations from traditional approaches. To address the lack of accessible resources that explain the methodological differences and complexities between the two approaches, we introduce and illustrate both, comparing them side by side. First, we overview the concepts, assumptions, advantages, and limitations of each approach. Based on this overview, we propose a list of four key considerations to help researchers decide which approach to choose and how to document their analytical decisions in a preregistration or analysis plan. We then demonstrate our key considerations on an illustrative research question using an open dataset and provide an example of a completed preregistration. Our illustrative example is accompanied by an annotated analysis report that shows readers, step-by-step, how to conduct measurement invariance tests using R and Mplus. Finally, we provide recommendations for how to decide between and use each approach and next steps for methodological research.

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