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Ke-Hai Yuan; Yong Wen; Jiashan Tang – Grantee Submission, 2022
Structural equation modeling (SEM) and path analysis using composite-scores are distinct classes of methods for modeling the relationship of theoretical constructs. The two classes of methods are integrated in the partial-least-squares approach to structural equation modeling (PLS-SEM), which systematically generates weighted composites and uses…
Descriptors: Statistical Analysis, Weighted Scores, Least Squares Statistics, Structural Equation Models
Kim, Hyung Jin; Brennan, Robert L.; Lee, Won-Chan – Journal of Educational Measurement, 2020
In equating, smoothing techniques are frequently used to diminish sampling error. There are typically two types of smoothing: presmoothing and postsmoothing. For polynomial log-linear presmoothing, an optimum smoothing degree can be determined statistically based on the Akaike information criterion or Chi-square difference criterion. For…
Descriptors: Equated Scores, Sampling, Error of Measurement, Statistical Analysis
Haimiao Yuan – ProQuest LLC, 2022
The application of diagnostic classification models (DCMs) in the field of educational measurement is getting more attention in recent years. To make a valid inference from the model, it is important to ensure that the model fits the data. The purpose of the present study was to investigate the performance of the limited information…
Descriptors: Goodness of Fit, Educational Assessment, Educational Diagnosis, Models
Dogucu, Mine – ProQuest LLC, 2017
When researchers fit statistical models to multiply imputed datasets, they have to fit the model separately for each imputed dataset. Since there are multiple datasets, there are always multiple sets of model results. It is possible for some of these sets of results not to converge while some do converge. This study examined occurrence of such a…
Descriptors: Statistical Analysis, Error of Measurement, Goodness of Fit, Monte Carlo Methods
Koziol, Natalie A.; Bovaird, James A. – Educational and Psychological Measurement, 2018
Evaluations of measurement invariance provide essential construct validity evidence--a prerequisite for seeking meaning in psychological and educational research and ensuring fair testing procedures in high-stakes settings. However, the quality of such evidence is partly dependent on the validity of the resulting statistical conclusions. Type I or…
Descriptors: Computation, Tests, Error of Measurement, Comparative Analysis
Lucas-Molina, Beatriz; Sarmento, Renata; Quintanilla, Laura; Giménez-Dasí, Marta – Early Education and Development, 2018
Research Findings: Empathy, or the ability to understand what others are thinking or feeling, can be observed in early developmental stages. The purpose of this study was to validate the Spanish version of the Empathy Questionnaire (EmQue) and examine its longitudinal measurement invariance (LMI) at 2 time points. Parents of 103 children completed…
Descriptors: Spanish, Empathy, Questionnaires, Scores
Collado-Rivera, Maria; Branscum, Paul; Larson, Daniel; Gao, Haijuan – Health Education Journal, 2018
Objective: The objective of this study was to evaluate the determinants of sugary drink consumption among overweight and obese adults attempting to lose weight using the Integrative Model of Behavioural Prediction (IMB). Design: Cross-sectional design. Method: Determinants of behavioural intentions (attitudes, perceived norms and perceived…
Descriptors: Body Weight, Health Behavior, Factor Analysis, Obesity
Liang, Longjuan; Browne, Michael W. – Journal of Educational and Behavioral Statistics, 2015
If standard two-parameter item response functions are employed in the analysis of a test with some newly constructed items, it can be expected that, for some items, the item response function (IRF) will not fit the data well. This lack of fit can also occur when standard IRFs are fitted to personality or psychopathology items. When investigating…
Descriptors: Item Response Theory, Statistical Analysis, Goodness of Fit, Bayesian Statistics
Punter, R. Annemiek; Meelissen, Martina R. M.; Glas, Cees A. W. – European Educational Research Journal, 2017
IEA's International Computer and Information Literacy Study (ICILS) 2013 showed that in the majority of the participating countries, 14-year-old girls outperformed boys in computer and information literacy (CIL): results that seem to contrast with the common view of boys having better computer skills. This study used the ICILS data to explore…
Descriptors: Gender Differences, Factor Analysis, Information Literacy, Computer Literacy
Sweet, Tracy M. – Educational Psychologist, 2016
Social networks are especially applicable in educational and psychological studies involving social interactions. A social network is defined as a specific relationship among a group of individuals. Social networks arise in a variety of situations such as friendships among children, collaboration and advice seeking among teachers, and coauthorship…
Descriptors: Social Networks, Interpersonal Relationship, Friendship, Teacher Collaboration
Vaughan, Robert; Laborde, Sylvain – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to assess the psychometrics properties of the Emotional Intelligence Scale and assess the measurement invariance across elite (n = 367), amateur (n = 629), and non-athletes (n = 550). In total, 1,546 participants from various sports completed the emotional intelligence scale. Several competing models were compared…
Descriptors: Psychometrics, Emotional Intelligence, Measures (Individuals), Athletes
Johnson, Matthew D.; Galambos, Nancy L.; Finn, Christine; Neyer, Franz J.; Horne, Rebecca M. – Developmental Psychology, 2017
Guided by concepts from a relational developmental perspective, this study examined intra- and interpersonal associations between self-esteem and depressive symptoms in a sample of 1,407 couples surveyed annually across 6 years in the Panel Analysis of Intimate Relations and Family Dynamics (pairfam) study. Autoregressive cross-lagged model…
Descriptors: Self Esteem, Depression (Psychology), Symptoms (Individual Disorders), Interpersonal Relationship
Xu, Lihua; Wubbena, Zane; Stewart, Trae – Journal of Educational Administration, 2016
Purpose: The purpose of this paper is to investigate the factor structure and the measurement invariance of the Multifactor Leadership Questionnaire (MLQ) across gender of K-12 school principals (n=6,317) in the USA. Design/methodology/approach: Nine first-order factor models and four second-order factor models were tested using confirmatory…
Descriptors: Leadership Styles, Questionnaires, Transformational Leadership, Factor Structure
Whittaker, Tiffany A. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Latent means methods such as multiple-indicator multiple-cause (MIMIC) and structured means modeling (SMM) allow researchers to determine whether or not a significant difference exists between groups' factor means. Strong invariance is typically recommended when interpreting latent mean differences. The extent of the impact of noninvariant…
Descriptors: Structural Equation Models, Error of Measurement, Statistical Analysis, Goodness of Fit
Rusu, Petruta P.; Hilpert, Peter; Turliuc, Maria N.; Bodenmann, Guy – Measurement and Evaluation in Counseling and Development, 2016
This study investigates the psychometric properties of the Romanian version of the Dyadic Coping Inventory with data from 510 married couples. The results confirm the theoretical factorial structure of the Dyadic Coping Inventory for both partners, indicating convergent validity, discriminate validity, and measurement invariance (across genders…
Descriptors: Coping, Psychometrics, Spouses, Factor Structure