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Ye, Ping; Bautista-Maya, Gildardo – Mathematics Teaching Research Journal, 2021
This paper analyzes the dataset collected from students participating in the Boy With A Ball (BWAB) program, a faith-based community outreach group, through the Hemingway Measure of Adult Connectedness©, a questionnaire measuring the social connectedness of adolescents. This paper first approaches the data in the conventional method provided by…
Descriptors: Outreach Programs, Adolescents, Interpersonal Relationship, Questionnaires
Gniewosz, Burkhard; Gniewosz, Gabriela – International Journal of Behavioral Development, 2018
The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…
Descriptors: Models, Data, Behavior Problems, Children
Skelly, JoAnne; Hill, George; Singletary, Loretta – Journal of Extension, 2014
Extension professionals often assess community needs to determine programs and target audiences. Data can be collected through surveys, focus group and individual interviews, meta-analysis, systematic observation, and other methods. Knowledge gaps are identified, and programs are designed to resolve the deficiencies. However, do Extension…
Descriptors: Needs Assessment, Data Analysis, Community Needs, Extension Education
Chaudhary, Richa – Education & Training, 2017
Purpose: The purpose of this paper is to investigate the influence of demographic, social and personal dispositional factors on determining the entrepreneurial inclination. Specifically, the author examined the role of gender, age, stream of study, family business background and six psychological traits of locus of control, tolerance for…
Descriptors: Entrepreneurship, Demography, Foreign Countries, Personality Traits
Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
Ramirez-Faghih, Caroline Ann – ProQuest LLC, 2012
The goal of this study was to examine the reciprocal relationship between statistical investigation and motivation of college students in a Mathematical Reasoning course (Math 1). Unlike previous studies in which students' projects or statistical investigations have been examined as the final product that shows evidence of statistical…
Descriptors: College Students, Statistics, Thinking Skills, Mathematical Logic
Nichols, Timothy; Ailts, Jacob; Chang, Kuo-Liang – Honors in Practice, 2016
This study gathered, analyzed, and compared perspectives of students who were honors-eligible but never began the program, students who began in honors and discontinued their enrollment, and those who were persisting in honors. Broadly speaking (and not surprisingly), the responses of students persisting in honors reflected the most positive…
Descriptors: Higher Education, College Students, School Holding Power, Honors Curriculum
Gochhayat, Jyotiranjan; Giri, Vijai N.; Suar, Damodar – International Journal of Leadership in Education, 2017
This study provides a new conceptualization of educational leadership with a multilevel and integrative approach. It examines the impact of multilevel leadership (MLL) on the effectiveness of technical educational institutes through the mediating effects of organizational communication, bases of power and organizational culture. Data were…
Descriptors: Foreign Countries, Technical Institutes, Leadership, Organizational Effectiveness
Yukselturk, Erman; Ozekes, Serhat; Turel, Yalin Kilic – European Journal of Open, Distance and E-Learning, 2014
This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…
Descriptors: Online Courses, Distance Education, Dropout Characteristics, Prediction
Ferreira, Tiago; Cadima, Joana; Matias, Marisa; Vieira, Joana Marina; Leal, Teresa; Verschueren, Karine; Matos, Paula Mena – Developmental Psychology, 2018
Parental engagement in positive activities with the child may show significant variation across time, assuming a crucial influence on child development. In dual-earner families, work-family conflict can interfere with parental engagement, with negative consequences for children's behavior. The current study examined the change trajectories of…
Descriptors: Foreign Countries, Parent Participation, Preschool Children, Early Childhood Education
Kiwanuka, Henry Nsubuga; Van Damme, Jan; Van Den Noortgate, Wim; Anumendem, Dickson Nkafu; Namusisi, Speranza – South African Journal of Education, 2015
This study explores the sources of variability in Mathematics achievement of Ugandan students at the student, classroom and school level. The Mathematics score and questionnaire responses of 4,819 first-year secondary school students (Grade Seven, about 14-15 years old) from 78 classrooms of 49 schools were analysed. A three-level linear model was…
Descriptors: Foreign Countries, Secondary School Mathematics, Secondary School Students, Performance Factors
Giallo, Rebecca; Gartland, Deirdre; Woolhouse, Hannah; Mensah, Fiona; Westrupp, Elizabeth; Nicholson, Jan; Brown, Stephanie – International Journal of Behavioral Development, 2018
The deleterious effects of maternal depression on child emotional and behavioral development are well documented, yet many children exposed to maternal depression experience positive outcomes. The aim of this study was to identify psychosocial factors associated with the emotional-behavioral resilience of four-year-old children of first-time…
Descriptors: Resilience (Psychology), Preschool Children, Mothers, Depression (Psychology)
Xu, Lei; Richman, Alice R. – International Journal of Special Education, 2015
Making decisions to undergo Autism Spectrum Disorders (ASD) genetic testing can be challenging. It is important to understand how the perceptions of affected individuals might influence testing decision-making. Although evidence has shown that psychological factors are important in predicting testing decisions, affect-type variables have been…
Descriptors: Psychological Patterns, Parents, Children, Genetics
Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning
Lee, Den-Ching A.; Brown, Ted; Stolwyk, Rene; O'Connor, Daniel W.; Haines, Terry P. – Health Education Journal, 2016
Background: Older adults experience a high rate of falls when they transition to community-living following discharge from hospital. Objectives: To describe the proportion of older adults who could recall having discussed falls and falls prevention strategies with a health professional within 6 months following discharge from hospital. To describe…
Descriptors: Foreign Countries, Older Adults, Evidence Based Practice, Accidents