scholarly journals Measurement Invariance of Negative Affect in Ambulatory Assessments of Young-Old and Old-Old Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 658-658
Author(s):  
Oliver Schilling ◽  
Anna Lücke ◽  
Martin Katzorreck ◽  
Ute Kunzmann ◽  
Denis Gerstorf
Keyword(s):  
Negative Affect ◽  
Measurement Invariance ◽  
Repeated Measures ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Negative Emotion ◽  
Psychological Research ◽  
Bayes Estimation ◽  
Item Functioning ◽  
Young Old

Abstract Gero-psychological research increasingly considered intense longitudinal assessments of momentary affect to address affective aging. In particular, many studies employed negative emotion item lists for ambulatory assessments of negative affect. However, frequent self-reports on emotion items within short time intervals might change alertness towards and perception of one’s emotional experiences. From an item-response-theoretic point of view, this might impair the stability of item functioning in terms of item discrimination between levels of affectivity and item severity (difficulty). Thus, we examined measurement invariance of negative emotion items commonly used for ambulatory assessments of negative affect. Ambulatory assessments from the EMIL study, obtained over seven consecutive days at six occasions per day from 123 young-old (aged 66-69) and 47 old-old (86-89) adults, were analyzed. Respondents self-reported on 13 negative emotion items, using a 0-100 slider to express the degree to which they felt the respective emotion. We ran multilevel structural equation models with Bayes estimation to analyze variability of negative affect factor loadings, item intercepts, and measurement error variances across repeated measures, thus checking for metric, scalar, and strict factorial invariance. For all sets of parameters, the findings do not strongly support measurement invariance, but point at partial invariance for item subsets. Taking on literature suggesting that criteria for invariance testing should not be too restrictive to meet pragmatic measurement equivalence requirements, further analyses and our conclusions focus on strategies that might allow for acceptable degrees of differential item functioning, enabling reliable analyses of intra-individual short-term variability in negative affect.

scholarly journals Validation and Measurement Invariance of the Scale of Positive and Negative Experience (SPANE) in a Spanish General Sample

2020 ◽  
Vol 17 (22) ◽  
pp. 8359
Author(s):  
Begoña Espejo ◽  
Irene Checa ◽  
Jaime Perales-Puchalt ◽  
Juan Francisco Lisón
Keyword(s):  
Negative Affect ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Temporal Stability ◽  
Well Being ◽  
Correlated Errors ◽  
Related Factors ◽  
Cross Sectional ◽  
Negative Experience

Well-being has been measured based on different perspectives in positive psychology. However, it is necessary to measure affects and emotions correctly and to explore the independence of positive and negative affect. This cross-sectional study adapts and validates the Scale of Positive and Negative Experience (SPANE) with a non-probabilistic sample of 821 Spanish adults. A confirmatory factor analysis confirmed two related factors with two correlated errors. The average variance extracted was 0.502 for negative affect (SPANE-N) and 0.588 for positive affect (SPANE-P). The composite reliability was 0.791 for SPANE-N and 0.858 for SPANE-P. Measurement invariance analysis showed evidence of scalar invariance. Item-total corrected polyserial correlations showed values between 0.47 and 0.76. The path analysis used to test temporal stability, and the structural equation models used to test convergent and concurrent validity with other well-being measures, showed good fit. All path coefficients were statistically significant and over 0.480. For the validity models, the magnitude of the correlations was large and in the expected direction. The Spanish version of the SPANE show good psychometric properties. Future studies of emotional well-being in Spain can benefit from the use of this scale, and new studies must test cross-cultural invariance.

scholarly journals Accounting for Differential Item Functioning Using Bayesian Approximate Measurement Invariance

2019 ◽  
Vol 80 (4) ◽  
pp. 638-664 ◽  
Author(s):  
Georgios D. Sideridis ◽  
Ioannis Tsaousis ◽  
Abeer A. Alamri
Keyword(s):  
Measurement Invariance ◽  
Structural Equation ◽  
Equation Modeling ◽  
P Value ◽  
National Examination ◽  
Item Functioning ◽  
Using Data ◽  
Mean Differences ◽  
Bayesian Structural Equation Modeling ◽  
Approximate Measurement

The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of measurement invariance using relative compared to exact criteria. A secondary goal was to compare latent means across groups using invariant parameters only and through utilizing exact and relative evaluative-MI protocol suggested equivalence of the thresholds using prior variances equal to 0.10. Subsequent differences between groups were evaluated using effect size criteria and the prior-posterior predictive p-value (PPPP), which proved to be invaluable in attesting for differences that are beyond zero, some meaningless nonzero estimate, and the three commonly used indices of effect sizes described by Cohen in 1988 (i.e., .20, .50, and .80). Results substantiated the use of the PPPP for evaluating mean differences across groups when utilizing nonexact evaluative criteria.

scholarly journals Sleep Quality and Affective Well-Being in Children’s Daily Lives – A Pre-Registered Replication and Exploratory Extension

2020 ◽  
Author(s):  
Andreas B. Neubauer ◽  
Andrea C. Kramer ◽  
Andrea Schmidt ◽  
Tanja Könen ◽  
Judith Dirk ◽  
...  
Keyword(s):  
Negative Affect ◽  
Sleep Quality ◽  
Positive Affect ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Close Relation ◽  
Well Being ◽  
Ambulatory Assessment ◽  
Reciprocal Relation ◽  
Dynamic Interplay

High sleep quality has been associated with beneficial outcomes across the lifespan, including better well-being, cognitive performance, and health. Intensive longitudinal studies suggest that these beneficial effects can also be observed on a day-to-day level. However, the dynamic interplay between sleep quality and affective well-being in children’s daily life has only rarely been investigated. The aims of the present work were (a) to replicate findings from a prior ambulatory assessment study in this area (Könen et al., 2016), (b) to explore the wax and wane of the effect of sleep on well-being throughout the day, and (c) to examine the reciprocal relation between these constructs in more detail. Data from two ambulatory assessment studies with children between 8 and 11 years (N = 108 / 84, with assessments over 28 / 21 consecutive days) consistently showed that positive affect was higher and negative affect was lower after nights with better sleep quality, and that the effects of sleep quality were stronger on well-being assessed in the morning compared to later in the day. Results from dynamic structural equation models revealed reciprocal effects of sleep quality and positive affect. Negative affect was not consistently related to worse subsequent sleep quality after controlling for positive affect and prior night’s sleep quality Results suggest a close relation of sleep quality and positive affect, which strengthens the idea behind interventions targeting both, children’s sleep and well-being. Differences between children in the dynamic interplay between sleep and affect may be important predictors of long-term outcomes.

Psychometric properties of the Beck Anxiety Inventory and Snaith-Hamilton Pleasure Scale in Spanish-speaking countries during the COVID-19 pandemic

2021 ◽  
Author(s):  
Gabriel Alonso González-Medina ◽  
Kyle M. Lang ◽  
Israel Rios-Castillo ◽  
Leslie Landaeta Diaz
Keyword(s):  
Psychometric Properties ◽  
Measurement Invariance ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Psychological Research ◽  
Equation Modeling ◽  
Beck Anxiety Inventory ◽  
Spanish Speaking ◽  
Psychometric Studies

Psychometric studies are needed to decide the most suitable instrument in psychological research. Whereas Beck Depression Inventory has more psychometrics studies in Spanish-speaking countries, Beck Anxiety Inventory has less evidence. Additionally, anhedonia is a crucial construct to understand the relationship between depression and anxiety and their outcomes. However, there a scarce psychometric studies in anhedonia measures in non-English languages. Therefore, the first objective was to describe the Beck Anxiety Inventory and Snaith-Hamilton Pleasure Scale (SHAPS) psychometric properties. The second objective was to evaluate the measurement invariance of two psychometric scales, the Beck Anxiety Inventory (BAI) and the Snaith-Hamilton Pleasure Scale (SHAPS), in 12 Spanish-speaking countries. The first included 1287 participants over 18 years of age from Chile. The second with a sample of 9954 participants from 12 Spanish-speaking countries. We analyze the construct, convergent, concurrent, and discriminant validities using confirmatory factor analysis and structural equation modeling. This study showed good internal consistency for both scales. First, we provided evidence for construct validity, convergent validity, concurrent validity, and discriminant validity in a Chilean sample. Secondly, we established measurement invariance between Chile and those other 11 countries. This study represents the most thorough psychometric analysis of the BAI and SHAPS in the context of which we are aware.

scholarly journals A graphical perspective of marginal structural models: An application for the estimation of the effect of physical activity on blood pressure

2016 ◽  
Vol 27 (8) ◽  
pp. 2428-2436
Author(s):  
Denis Talbot ◽  
Amanda M Rossi ◽  
Simon L Bacon ◽  
Juli Atherton ◽  
Geneviève Lefebvre
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Repeated Measures ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Causal Effect ◽  
Structural Models ◽  
Marginal Structural Models ◽  
Time Varying ◽  
Causal Graph

Estimating causal effects requires important prior subject-matter knowledge and, sometimes, sophisticated statistical tools. The latter is especially true when targeting the causal effect of a time-varying exposure in a longitudinal study. Marginal structural models are a relatively new class of causal models that effectively deal with the estimation of the effects of time-varying exposures. Marginal structural models have traditionally been embedded in the counterfactual framework to causal inference. In this paper, we use the causal graph framework to enhance the implementation of marginal structural models. We illustrate our approach using data from a prospective cohort study, the Honolulu Heart Program. These data consist of 8006 men at baseline. To illustrate our approach, we focused on the estimation of the causal effect of physical activity on blood pressure, which were measured at three time points. First, a causal graph is built to encompass prior knowledge. This graph is then validated and improved utilizing structural equation models. We estimated the aforementioned causal effect using marginal structural models for repeated measures and guided the implementation of the models with the causal graph. By employing the causal graph framework, we also show the validity of fitting conditional marginal structural models for repeated measures in the context implied by our data.

Testing the generality of an internal power theory of interpersonal violence across sex and race/ethnicity

2020 ◽  
Vol 37 (12) ◽  
pp. 3083-3101
Author(s):  
Jennifer Wareham ◽  
Shelly M. Wagers
Keyword(s):  
Measurement Invariance ◽  
Interpersonal Violence ◽  
Partner Violence ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Power Theory ◽  
Five Factors ◽  
Partial Invariance ◽  
Ipv Perpetration ◽  
Race Ethnicity

Recently, Wagers articulated a theory of internal power to explain intimate partner violence (IPV). Internal power is conceptualized as comprising five domains: self-concept clarity, self-esteem, self-efficacy, self-determination, and mastery. Individuals with high internal power are expected to engage in little to no IPV. The present study tested measurement invariance of the internal power instrument across sex and race/ethnicity using a sample of 749 college students. Tests for measurement invariance indicated partial invariance of the internal power instrument across sex and race/ethnicity. Further, group-based structural equation models revealed several sex- and race/ethnicity-specific differences in the relationships between the five factors of internal power and self-reported IPV perpetration. Implications for Wagers’ internal power theory and similar instruments are discussed.

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