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Lounek, Vítezslav; Ryška, Radim – Research in Comparative and International Education, 2023
Ensuring comparability of Likert-style items across different countries is a widespread challenge for authors of large-scale international surveys. Using data from the EUROGRADUATE Pilot Survey, this study employs a series of latent class analyses to explore which response patterns emerge from self-assessment of acquired and required skills of…
Descriptors: Self Evaluation (Individuals), Surveys, College Graduates, Multivariate Analysis
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Steven Glazerman; Larissa Campuzano; Nancy Murray – Evaluation Review, 2025
Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…
Descriptors: Educational Experiments, Foreign Countries, Educational Assessment, Research Design
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Ann A. O'Connell; Nivedita Bhaktha; Jing Zhang – Society for Research on Educational Effectiveness, 2021
Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…
Descriptors: Hierarchical Linear Modeling, Educational Research, Statistical Distributions, Multivariate Analysis
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Durrant, Gabriele B.; Maslovskaya, Olga; Smith, Peter W.F. – International Journal of Social Research Methodology, 2019
Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool…
Descriptors: Foreign Countries, Data Analysis, Interviews, Surveys
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Park, Sunyoung; Natasha Beretvas, S. – Journal of Experimental Education, 2021
When selecting a multilevel model to fit to a dataset, it is important to choose both a model that best matches characteristics of the data's structure, but also to include the appropriate fixed and random effects parameters. For example, when researchers analyze clustered data (e.g., students nested within schools), the multilevel model can be…
Descriptors: Hierarchical Linear Modeling, Statistical Significance, Multivariate Analysis, Monte Carlo Methods
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Abascal, Elena; Díaz De Rada, Vidal; García Lautre, Ignacio; Landaluce, M. Isabel – International Journal of Social Research Methodology, 2018
In the field of social sciences, certain tasks, such as the identification of typologies and the characterization of groups of individuals according to a set of questions, tend to pose a challenge for researchers. Further complications arise if the chosen rating scale is from 0 to 10, since the responses can be treated either as metric or…
Descriptors: Social Science Research, Research Problems, Rating Scales, Factor Analysis
Van de Vijver, Fons J. R.; Avvisati, Francesco; Davidov, Eldad; Eid, Michael; Fox, Jean-Paul; Le Donné, Noémie; Lek, Kimberley; Meuleman, Bart; Paccagnella, Marco; van de Schoot, Rens – OECD Publishing, 2019
Large-scale surveys such as the Programme for International Student Assessment (PISA), the Teaching and Learning International Survey (TALIS), and the Programme for the International Assessment of Adult Competences (PIAAC) use advanced statistical models to estimate scores of latent traits from multiple observed responses. The comparison of such…
Descriptors: Surveys, Factor Analysis, Bayesian Statistics, Statistical Analysis
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Ritzhaupt, Albert D.; Martin, Florence; Pastore, Raymond; Kang, Youngju – Journal of Computing in Higher Education, 2018
The purpose of this research was to identify the competencies of educational technologists by surveying the professionals within the field. The Educational Technology Competency Survey (ETCS) developed in this research was based on a conceptual framework that emphases the definition of educational technology and associated knowledge, skill, and…
Descriptors: Educational Technology, Competence, Models, Factor Analysis
Rausch, M. K.; Conlan, S. K. – National Association of Charter School Authorizers, 2016
In theory, authorizers play an important role in decisions regarding charter schools and student discipline, as they are the bodies responsible for protecting the public interest, while balancing school autonomy and accountability. Within public education, a rigorous debate is occurring about student discipline practices, particularly suspensions…
Descriptors: Charter Schools, Discipline, School Administration, Surveys
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Grané, Aurea; Romera, Rosario – Sociological Methods & Research, 2018
Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…
Descriptors: Surveys, Data, Multidimensional Scaling, Robustness (Statistics)
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Piccarreta, Raffaella – Sociological Methods & Research, 2017
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…
Descriptors: Data Analysis, Multivariate Analysis, Social Science Research, Factor Analysis
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Nelissen, Sara; Van den Bulck, Jan; Beullens, Kathleen – Information Research: An International Electronic Journal, 2017
Introduction: This study aims to (a) construct a typology of how individuals acquire cancer information, and (b) examine whether these types differ regarding socio-demographics and cancer-related knowledge, attitudes and behaviour. Method: A standardized, cross-sectional survey among cancer diagnosed and non-diagnosed individuals in Flanders,…
Descriptors: Cancer, Information Seeking, Multivariate Analysis, Statistical Analysis
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Rhoads, Christopher – Society for Research on Educational Effectiveness, 2016
Current practice for conducting power analyses in hierarchical trials using survey based ICC and effect size estimates may be misestimating power because ICCs are not being adjusted to account for treatment effect heterogeneity. Results presented in Table 1 show that the necessary adjustments can be quite large or quite small. Furthermore, power…
Descriptors: Statistical Analysis, Correlation, Effect Size, Surveys
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Ergül, Cevriye; Sarica, Ayse Dolunay; Akoglu, Gözde; Karaman, Gökçe – International Journal of Instruction, 2017
This study investigated the possible differences in the home literacy environments (HLE) among Turkish kindergarteners from three different SES (socio-economic) strata. 341 parents of a total of 341 kindergarteners from 24 kindergarten classrooms in low, middle and high SES neighbourhoods across Ankara completed the Socio-Demographics Form and the…
Descriptors: Foreign Countries, Socioeconomic Status, Family Environment, Surveys
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Rhoads, Christopher – Journal of Educational and Behavioral Statistics, 2017
Researchers designing multisite and cluster randomized trials of educational interventions will usually conduct a power analysis in the planning stage of the study. To conduct the power analysis, researchers often use estimates of intracluster correlation coefficients and effect sizes derived from an analysis of survey data. When there is…
Descriptors: Statistical Analysis, Hierarchical Linear Modeling, Surveys, Effect Size
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