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Karl Schweizer; Andreas Gold; Dorothea Krampen; Stefan Troche – Educational and Psychological Measurement, 2024
Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…
Descriptors: Correlation, Factor Analysis, Measurement Techniques, Item Analysis
Hoang V. Nguyen; Niels G. Waller – Educational and Psychological Measurement, 2024
We conducted an extensive Monte Carlo study of factor-rotation local solutions (LS) in multidimensional, two-parameter logistic (M2PL) item response models. In this study, we simulated more than 19,200 data sets that were drawn from 96 model conditions and performed more than 7.6 million rotations to examine the influence of (a) slope parameter…
Descriptors: Monte Carlo Methods, Item Response Theory, Correlation, Error of Measurement
Brahim Nehass; Jalal Ismaili; Ghizlane Merzaq; Abdelmounim Kiouach; Abderrahim Bounaissat; Benaissa Zarhbouch – Psychology in the Schools, 2025
The process of decision-making is a multifaceted cognitive endeavor encompassing various cognitive, emotional, psychological, and social processes. It empowers individuals to select from a range of alternatives. Its significance spans across age groups, impacting both adults and children, and the relevance of which goes beyond aiding learners in…
Descriptors: Decision Making, High School Students, Rating Scales, Psychometrics
Guo, Wenjing; Choi, Youn-Jeng – Educational and Psychological Measurement, 2023
Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been…
Descriptors: Item Response Theory, Evaluation Methods, Factor Analysis, Guidelines
Yuanfang Liu; Mark H. C. Lai; Ben Kelcey – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance holds when a latent construct is measured in the same way across different levels of background variables (continuous or categorical) while controlling for the true value of that construct. Using Monte Carlo simulation, this paper compares the multiple indicators, multiple causes (MIMIC) model and MIMIC-interaction to a…
Descriptors: Classification, Accuracy, Error of Measurement, Correlation
Pere J. Ferrando; David Navarro-González; Fabia Morales-Vives – Educational and Psychological Measurement, 2025
The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…
Descriptors: Scores, Accuracy, Evaluation Methods, Factor Analysis
Celen, Umit; Aybek, Eren Can – International Journal of Assessment Tools in Education, 2022
Item analysis is performed by developers as an integral part of the scale development process. Thus, items are excluded from the scale depending on the item analysis prior to the factor analysis. Existing item discrimination indices are calculated based on correlation, yet items with different response patterns are likely to have a similar item…
Descriptors: Likert Scales, Factor Analysis, Item Analysis, Correlation
Tatiana di Lucia Faion Franchi; Felipe Valentini; Leonardo Botinhon de Campos; Letícia da Silva de Souza; Pedro Vanni; Leonardo de Barros Mose; Ricardo Primi – International Journal of Testing, 2024
This study investigated the application of item quadruplets to control social desirability in measuring socio-emotional competencies and their relationship with intelligence. Quadruplets involve four variations of an item, differing in the polarity of their descriptive content and evaluative content (social desirability): positive-desirable,…
Descriptors: Social Desirability, Social Emotional Learning, Interpersonal Competence, Emotional Intelligence
Konrad Piotrowski; Aleksandra Nowicka; Kamil Janowicz; Martin M. Smith – Journal of Psychoeducational Assessment, 2024
The Big Three Perfectionism Scale (BTPS) was created to integrate different aspects of perfectionism, including the newly conceptualized concept of narcissistic perfectionism. The goal of our two studies (N = 1341) was to examine the psychometric properties of the Polish adaptation of the BTPS, supporting the validity and portability of the…
Descriptors: Personality Measures, Foreign Countries, Personality Problems, Parent Child Relationship
Alonso-Tapia, Jesús; Merino-Tejedor, Enrique; Huertas, Juan Antonio – European Journal of Psychology of Education, 2023
This study has three main objectives. The first is to know to which degree engagement, as a person variable, and each of its modalities--agency, behavior, cognition, and emotion--are affected by the interaction with several learning situations, listening to a lecture, carrying out practical tasks alone, reading a text while studying, working in…
Descriptors: Higher Education, Factor Analysis, Self Control, Self Efficacy
Helta Anggia; Anita Habók – Journal on Efficiency and Responsibility in Education and Science, 2024
This study examined the factors adapted from the Motivation for Reading Questionnaire. We considered eight dimensions (Self-Efficacy, Reading Challenge, Reading Curiosity, Reading Involvement, Importance of Reading, Recognition for Reading, Reading for Grades, and Social Reasons for Reading). In addition, we included some items based on the…
Descriptors: Factor Analysis, Reading Habits, Questionnaires, Correlation
Ahmet Erol; Mustafa Erol – Journal of Turkish Science Education, 2024
Engineering education aims to equip children with the skills to solve and apply complex problems. Problem-solving processes in engineering require high-level thinking and mind habits. Habit is a term used to describe various aspects of intelligence. Engineering habits of mind are the values, attitudes, and thinking skills associated with…
Descriptors: Engineering Education, Factor Analysis, Cognitive Processes, Construct Validity
Jing Chen; Yi Jiang – SAGE Open, 2025
Anticipatory "it" pattern, which encodes interpersonal stance, plays a crucial role in academic writing. While previous studies have been explored the overuse and the underuse of this pattern among English as a Foreign Language (EFL) learners and published writers, there has been limited exploration of how EFL learners use the…
Descriptors: Foreign Countries, Masters Programs, Graduate Students, English (Second Language)
Hartono, Wahyu; Hadi, Samsul; Rosnawati, Raden; Retnawati, Heri – Pegem Journal of Education and Instruction, 2023
Researchers design diagnostic assessments to measure students' knowledge structures and processing skills to provide information about their cognitive attribute. The purpose of this study is to determine the instrument's validity and score reliability, as well as to investigate the use of classical test theory to identify item characteristics. The…
Descriptors: Diagnostic Tests, Test Validity, Item Response Theory, Content Validity
Schoeffel, Pablo; Ramos, Vinicius F. C.; Cechinel, Cristian; Wazlawick, Raul Sidnei – Informatics in Education, 2022
This paper proposes and validates a short and simple Expectancy-Value-Cost scale, called EVC Light. The scale measures the motivation of students in computing courses, allowing the easy and weekly application across a course. One of the factors related directly to the high rate of failure and dropout in computing courses is student motivation.…
Descriptors: Student Motivation, Computer Science Education, Factor Analysis, Student Attitudes