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Showing 31 to 45 of 421 results Save | Export
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Preszler, Jonathan; Gartstein, Maria A. – International Journal of Behavioral Development, 2018
Questions concerning longitudinal stability and multi-method consistency are critical to temperament research. Latent State-Trait (LST) analyses address these directly, and were utilized in this study. Thus, our primary objective was to apply LST analyses in a temperament context, using longitudinal and multi-method data to determine the amount of…
Descriptors: Psychological Patterns, Personality Traits, Stress Variables, Longitudinal Studies
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Moulton, Vanessa; Flouri, Eirini; Joshi, Heather; Sullivan, Alice – British Journal of Sociology of Education, 2017
Social class mobility from grandparent to grandchild is a relatively neglected topic. Grandparents today are often healthier and more active, and have longer relationships with their grandchildren than in previous generations. We used data from the UK's Millennium Cohort Study (n = 8570) to investigate the influence of maternal and paternal…
Descriptors: Grandparents, Social Class, Racial Differences, Ethnic Groups
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Finch, Holmes – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
Multilevel models (MLMs) have proven themselves to be very useful in social science research, as data from a variety of sources is sampled such that individuals at level-1 are nested within clusters such as schools, hospitals, counseling centers, and business entities at level-2. MLMs using restricted maximum likelihood estimation (REML) provide…
Descriptors: Hierarchical Linear Modeling, Comparative Analysis, Computation, Robustness (Statistics)
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Zeller, Florian; Krampen, Dorothea; Reiß, Siegbert; Schweizer, Karl – Educational and Psychological Measurement, 2017
The item-position effect describes how an item's position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine…
Descriptors: Goodness of Fit, Simulation, Factor Analysis, Intelligence Tests
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Gong, Xiaopeng; Paulson, Sharon E. – Journal of Psychoeducational Assessment, 2018
The current study examined the factor structure of the Schutte Self-Report Emotional Intelligence (SSREI) scale with an American college sample (n = 404, 322 females, 88.9% Whites). Data were collected through an online survey, and confirmatory factor analyses were conducted to test several proposed factor models from previous studies. The results…
Descriptors: Emotional Intelligence, North Americans, Factor Structure, Online Surveys
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Liu, Yang; Yang, Ji Seung – Journal of Educational and Behavioral Statistics, 2018
The uncertainty arising from item parameter estimation is often not negligible and must be accounted for when calculating latent variable (LV) scores in item response theory (IRT). It is particularly so when the calibration sample size is limited and/or the calibration IRT model is complex. In the current work, we treat two-stage IRT scoring as a…
Descriptors: Intervals, Scores, Item Response Theory, Bayesian Statistics
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Kim, Hee Yeong; Kim, Gi Un – Journal of Education and Learning, 2018
The purpose of this study is to analyze whether self-directedness in learning has positive effects on employment readiness of undergraduates. The subject of this study has little precedent research and we generated a research model. This study shows the following results: First, intrinsic motivation factor of self-directedness in learning has a…
Descriptors: Foreign Countries, Independent Study, Career Readiness, Undergraduate Students
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Boedeker, Peter – Practical Assessment, Research & Evaluation, 2017
Hierarchical linear modeling (HLM) is a useful tool when analyzing data collected from groups. There are many decisions to be made when constructing and estimating a model in HLM including which estimation technique to use. Three of the estimation techniques available when analyzing data with HLM are maximum likelihood, restricted maximum…
Descriptors: Hierarchical Linear Modeling, Maximum Likelihood Statistics, Bayesian Statistics, Computation
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Leckie, George – Journal of Educational and Behavioral Statistics, 2018
The traditional approach to estimating the consistency of school effects across subject areas and the stability of school effects across time is to fit separate value-added multilevel models to each subject or cohort and to correlate the resulting empirical Bayes predictions. We show that this gives biased correlations and these biases cannot be…
Descriptors: Value Added Models, Reliability, Statistical Bias, Computation
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Coelho, Vitor Alexandre; Sousa, Vanda – School Psychology International, 2018
The aim of the present study was to examine whether class-level characteristics, such as class size and gender ratio, could contribute to explaining different levels of bullying, victimization, and perception of defending between classes. Seven-hundred-and-sixty-three students (M[subscript age] = 12.96, SD = 1.22; 54.4% boys) from 42 Portuguese…
Descriptors: Foreign Countries, Classroom Environment, Class Size, Gender Issues
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Haberman, Shelby J.; Lee, Yi-Hsuan – ETS Research Report Series, 2017
In investigations of unusual testing behavior, a common question is whether a specific pattern of responses occurs unusually often within a group of examinees. In many current tests, modern communication techniques can permit quite large numbers of examinees to share keys, or common response patterns, to the entire test. To address this issue,…
Descriptors: Student Evaluation, Testing, Item Response Theory, Maximum Likelihood Statistics
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Datu, Jesus Alfonso D.; Yang, Weipeng – Journal of Psychoeducational Assessment, 2018
The current study examined the psychometric validity and gender invariance of the Academic Buoyancy Scale in the Philippines through a construct validation approach. In terms of within-network construct validity, our results demonstrated that the unidimensional model of academic buoyancy significantly fit the current sample and was invariant…
Descriptors: Psychometrics, Gender Differences, Academic Achievement, Goodness of Fit
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Veroniki, Areti Angeliki; Jackson, Dan; Viechtbauer, Wolfgang; Bender, Ralf; Bowden, Jack; Knapp, Guido; Kuss, Oliver; Higgins, Julian P. T.; Langan, Dean; Salanti, Georgia – Research Synthesis Methods, 2016
Meta-analyses are typically used to estimate the overall/mean of an outcome of interest. However, inference about between-study variability, which is typically modelled using a between-study variance parameter, is usually an additional aim. The DerSimonian and Laird method, currently widely used by default to estimate the between-study variance,…
Descriptors: Meta Analysis, Methods, Computation, Simulation
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Brachem, Julia-Carolin; Braun, Edith M. P. – Journal of Further and Higher Education, 2018
All over the world, universities have to cope with the mission to promote the employability of their graduates, implying that competences should be trained which are relevant for the professional experience. In this context, it is of special interest where graduates work and what they are doing at work. In this study we focus on educational…
Descriptors: Graduate Surveys, Minimum Competencies, Graduation Requirements, Job Skills
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
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