scholarly journals Are we on the same page? Latent variable modeling suggests different nomothetic and idiographic factor structures for momentary affect

2019 ◽  
Author(s):  
MohammadHossein Manuel Haqiqatkhah ◽  
francis tuerlinckx
Keyword(s):  
Item Response ◽  
Factor Structure ◽  
Latent Variable ◽  
Goodness Of Fit ◽  
Sampling Method ◽  
Daily Diaries ◽  
Response Models ◽  
Graded Response ◽  
Confirmatory Factor ◽  
Best Fitting

Objective: This study investigated the factor structure underlying affect and whether it differs within and between persons. Method: In an exploratory study, 12 datasets of self-reported momentary emotions collected via experience sampling method (11 datasets) and daily diaries (one dataset) were analyzed using graded response models based on item response theory. Before doing so, two pools of datasets were extracted so that the intraindividual (sampling all measurements of a person) and interindividual (sampling measurement occasions of different individuals) variations are disentangled. Various factor models were then fitted to each pool via an alternative-model confirmatory factor analysis. The candidate models were compared according to their relative goodness of fit. The best-fitting models were defined using a vote-counting method. Results: The intrapersonal momentary variations of affect can be best explained by a unidimensional factor structure resembling valence while individual differences are explained by a two-dimensional construct similar to positive and negative activation constructs. Conclusions: The structure of change in affect is not the same between and within persons. This implies that the nomothetic and idiographic analyses do not converge, providing evidence for construct nonequivalence between the two levels of analysis.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Stochastic Approximation Methods for Latent Regression Item Response Models

2010 ◽  
Vol 35 (2) ◽  
pp. 174-193 ◽  
Author(s):  
Matthias von Davier ◽  
Sandip Sinharay
Keyword(s):  
Item Response ◽  
Stochastic Approximation ◽  
Latent Variable ◽  
Reading Assessment ◽  
Mathematics Assessment ◽  
National Assessment ◽  
Variable Model ◽  
Response Models ◽  
Item Response Models ◽  
Latent Regression

This article presents an application of a stochastic approximation expectation maximization (EM) algorithm using a Metropolis-Hastings (MH) sampler to estimate the parameters of an item response latent regression model. Latent regression item response models are extensions of item response theory (IRT) to a latent variable model with covariates serving as predictors of the conditional distribution of ability. Applications to estimating latent regression models for National Assessment of Educational Progress (NAEP) data from the 2000 Grade 4 mathematics assessment and the Grade 8 reading assessment from 2002 are presented and results of the proposed method are compared to results obtained using current operational procedures.

scholarly journals Further evidence for the structure of the Resilience Scale in portuguese language countries: An invariance study with brazilian and portuguese adolescents

Psicologia ◽  
2016 ◽  
Vol 30 (2) ◽  
pp. 33-46
Author(s):  
Paulo Dias ◽  
Irene Cadime ◽  
Paulo Castelar Perim
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Cross Cultural ◽  
Short Version ◽  
Resilience Scale ◽  
Confirmatory Factor ◽  
Best Fitting ◽  
Structural Invariance ◽  
The One ◽  
Portuguese Adolescents

Especially since the last decades of the 20th century, research about resilience provided some insights into how people deal and overcome adversity in a positive way. Given the recent research history on this topic, discussion about theories and measures is still ongoing. In this study we aim to explore the structural invariance of the Wagnild and Young’s Resilience Scale (RS), one of the most widely used measures of resilience, across Portuguese and Brazilian adolescents. A sample of 969 adolescents with ages ranging between 13 and 18 years old completed the RS. A five- and a two-factor structure for the full RS version with 25 items and a one-factor structure for a RS short version, composed of 14 items, were tested using confirmatory factor analysis (CFA). After determining the best fitting structure, a multi-group CFA was performed to test the invariance of the instrument across the Portuguese and Brazilian samples.  The five- and two-factor structures for the full version revealed a poor fit. The one-factor structure revealed a good fit in both samples. Moreover, evidence for the partial measurement invariance of the short version across both samples was found. Our results indicate that the RS short version can be used for cross-cultural studies of resilience in both countries and that the five- and two-factor structures might be inadequate for comparison purposes.

scholarly journals HAKI MODUL PENGOLAHAN DATA DENGAN LISREL BETI NURBAITI

2019 ◽  
Author(s):  
beti nurbaiti
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variable ◽  
Goodness Of Fit ◽  
Confirmatory Factor ◽  
Fit Index

Tutorial singkat yang menjelaskan cara singkat dan praktif mempersiapkan kuesioner penelitian, mengimpor data dan mengolah dengan Lisrel, mulai dari uji validitas, reliabilitas, Confirmatory Factor Analysis hingga uji model struktural penelitian. Selain modul ini, dapat dipelajari melalui Channel Youtube untuk Tutorial Lisrel 1 hingga 7 dengan link sebagai berikut : a) Tutorial -1 Lisrel, Persiapan Kuesioner Untuk Diolah Dengan Lisrel, hingga Uji Statistik Deskriptif; Link Youtube :https://www.youtube.com/watch?v=QmdDMepmLCwb) Tutorial Lisrel -1 lanjutan, Import Data Hingga Uji Statistik Deskriptif (Output Lisrel); Link Youtube : https://www.youtube.com/watch?v=QmdDMepmLCwc) Tutorial -2 Lisrel , Convert Output Lisrel dalam MS Word; Link Youtube : https://www.youtube.com/watch?v=myWFkuWauH4d) Tutorial -3, Uji Model Pengukuran dan Kecocokan Model (Goodness Of Fit Index); Link Youtube : https://www.youtube.com/watch?v=aMEFdifPod4e) Tutorial -4, Uji Model Pengukuran dengan Kecocokan Model Perfect Fit; Link Youtube : https://www.youtube.com/watch?v=Sj2VR2VWVOAf) Tutorial -5, Penyederhanaan Model Penelitian (Latent Variable Score/LVS) Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=41IlJsr-ESkg) Tutorial- 6 Lisrel, Uji Validitas dan Reliabilitas Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=Ma1IlMWwZawh) Tutorial -7, Uji Confirmatory Factor Analysis (CFA) dan Uji Model Struktural Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=CyQOfCooUwQ

scholarly journals Development and psychometric properties of the Nursing Student Academic Resilience Inventory (NSARI): A mixed-method study

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252473
Author(s):  
Tayyebeh Ali-Abadi ◽  
Abbas Ebadi ◽  
Hamid Sharif Nia ◽  
Mohsen Soleimani ◽  
Ali Asghar Ghods
Keyword(s):  
Factor Analysis ◽  
Nursing Students ◽  
Factor Structure ◽  
Mixed Method ◽  
Goodness Of Fit ◽  
Nursing Student ◽  
Academic Resilience ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Qualitative Phase

Introduction Resilience has been proposed as a suitable solution to better deal with nursing students in cases of challenges but the complex and multidimensional nature of resilience has made its measurement challenging. This study aimed to develop and validate a new inventory theory-driven labeled Nursing Student Academic Resilience Inventory. Methods This study was performed with an exploratory sequential mixed-method design. In the qualitative phase of the study, individual interviews were conducted by including 15 participants to elicit the concept of resilience through purposive sampling. In the quantitative phase, psychometric analysis of the extracted items was performed using face, content, and construct validities (exploratory and confirmatory factor analyses) on a sample size of 405 nursing students. Besides, reliability has been tested using internal consistency and test-retest methods. According to the COSMIN standards, beside two important indicators of validity and reliability, responsiveness and interpretability were also considered. Results A 6-factor structure (optimism, communication, self-esteem/evaluation, self-awareness, trustworthiness, and self-regulation) with 24 items were extracted in terms of the derived categories from the qualitative phase. In confirmatory factor analysis, the χ2/df ratio was calculated as 2.11 for the NSARI six-factor structure. Suitable values were obtained for the goodness of fit indices (CFI = 0.904, AGFI = 0.885, IFI = 0.906, PCFI = 0.767, and RMSEA = 0.053). In the second-order factor analysis, AVE = 0.70 indicated the existence of both convergent and divergent validities. The Cronbach’s alpha and omega coefficients were investigated as (0.66–0.78) and (0.66–0.80), respectively. The AIC was between 0.33 and 0.45 for all factors, which is an acceptable rate. Additionally, an intraclass correlation coefficient (ICC) was obtained as .903 for the whole instrument (CI .846- .946, P <0.0001). Conclusion Multidimensional nature of resilience was supported through exploring its 6-factor structures in the nursing students’ field. This tool also showed an acceptable validity and reliability for measuring resilience in the population of nursing students.

scholarly journals Estimation of Latent Variable Scores with Multiple Group Item Response Models: Implications for Integrative Data Analysis

2020 ◽  
Vol 27 (6) ◽  
pp. 931-941
Author(s):  
Pega Davoudzadeh ◽  
Kevin J. Grimm ◽  
Keith F. Widaman ◽  
Sarah L. Desmarais ◽  
Stephen Tueller ◽  
...  
Keyword(s):  
Data Analysis ◽  
Item Response ◽  
Latent Variable ◽  
Response Models ◽  
Integrative Data Analysis ◽  
Item Response Models ◽  
Multiple Group

Confirmatory factor analysis of the Parental Bonding Instrument in a Japanese population

1999 ◽  
Vol 29 (1) ◽  
pp. 127-133 ◽  
Author(s):  
T. SATO ◽  
T. NARITA ◽  
S. HIRANO ◽  
K. KUSUNOKI ◽  
K. SAKADO ◽  
...  
Keyword(s):  
Factor Structure ◽  
Japanese Population ◽  
Goodness Of Fit ◽  
Parental Bonding ◽  
Parental Bonding Instrument ◽  
Confirmatory Factor ◽  
Parental Rearing ◽  
Fit Index ◽  
Best Fit ◽  
Three Factor

Background. There is controversy surrounding the factor structure of the Parental Bonding Instrument (PBI), a widely used instrument for assessing perceived parental rearing behaviours. Recent studies have proposed five different factor structures, including Parker et al.'s original two-factor model.Methods. Four hundred and eighteen employed Japanese adults filled out the PBI. Maximum likelihood confirmatory factor analyses were performed to compare the five different factor structures in terms of model-fit.Results. Parker's original two-factor structure fitted the data poorly. In general, three-factor structures showed better fit. Among the three-factor structures, Murphy's model and Kendler's model were superior (the adjusted goodness-of-fit index >0·8), with the latter providing the best fit to the data (the goodness-of-fit index >0·9). When considering invariance of factor structure across gender subgroups and across age subgroups, only Kendler's model was acceptable.Conclusions. Parker's two-factor structure of the PBI may not be appropriate for assessing perceived parental rearing behaviours in a Japanese population. Three-factor structures, in particular Murphy's model and Kendler's model, are preferable. Kendler's model provided the best fit to the data and was relatively invariant across the subgroups in this study. Thus, Kendler's model might prove to be very important for obtaining a factor structure invariant across different cultures.

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