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Ananda B. W. Manage; Stephen M. Scariano – Journal of Statistics Education, 2013
Principal Component Analysis is widely used in applied multivariate data analysis, and this article shows how to motivate student interest in this topic using cricket sports data. Here, principal component analysis is successfully used to rank the cricket batsmen and bowlers who played in the 2012 Indian Premier League (IPL) competition. In…
Descriptors: Factor Analysis, Multivariate Analysis, Data Analysis, Student Interests
Mukherjee, Moumita; McKinney, Lyle; Hagedorn, Linda Serra; Purnamasari, Agustina; Martinez, Franco Santiago – Community College Journal of Research and Practice, 2017
Using 1,400 survey responses collected from two large urban community college systems in Texas, this study examined how students' financial habits, stress, and well-being influenced their enrollment behaviors. Working students, compared to their nonworking peers, reported significantly lower levels of overall financial well-being. After…
Descriptors: Community Colleges, Two Year College Students, Two Year Colleges, Enrollment
Phillips, Krishtine; Downer, Jason – Early Education and Development, 2017
Research Findings: This study investigated the relationship between features of the classroom environment and misalignment between teacher and observer ratings of preschoolers' classroom engagement and the extent to which years of teaching experience moderated this relationship. In a sample of 116 preschoolers and 21 teachers in 29 classrooms,…
Descriptors: Classroom Environment, Teaching Experience, Preschool Teachers, Preschool Children
Moore, Linden A. – ProQuest LLC, 2017
In September of 2007, the Michigan Department of Education introduced a program referred to as seat time waivers to a few school districts in Michigan to pilot. During the 2009-2010 school year, 999 students were on seat time waivers with a total of 5070 classes taken by these students. While the number of online learners continues to grow…
Descriptors: School Districts, School Administration, Metacognition, Self Management
Dolzhenko, Inna N. – ProQuest LLC, 2017
In response to the main federal K-12 law, the Every Student Succeeds Act (ESSA) and the teacher education program standards, teacher education programs have tried to address social and emotional learning (SEL) content in their curricula. Adding information on SEL alone may not be enough to overcome the shortenings of many existing early childhood…
Descriptors: Social Development, Emotional Development, Preservice Teacher Education, Preservice Teachers
Snipes, Jason; Tran, Loan – Regional Educational Laboratory West, 2017
Interest has been growing in the role of students' attitudes, beliefs, and dispositions as key factors that can support or inhibit student success. A large body of emerging evidence, including multiple randomized controlled trials, shows that interventions that target academic mindsets, attitudes, and beliefs about the nature of ability and the…
Descriptors: Student Attitudes, Teacher Attitudes, Student Behavior, School Districts
Wang, Shudong; McCall, Marty; Jiao, Hong; Harris, Gregg – Online Submission, 2012
The purposes of this study are twofold. First, to investigate the construct or factorial structure of a set of Reading and Mathematics computerized adaptive tests (CAT), "Measures of Academic Progress" (MAP), given in different states at different grades and academic terms. The second purpose is to investigate the invariance of test…
Descriptors: Construct Validity, Factor Structure, Adaptive Testing, Computer Assisted Testing
Kamarulzaman, Wirawani; Nordin, Mohamad Sahari – Online Submission, 2012
This paper is intended to examine the validity of Big 5 Personality test inventory of 44 questions with 5-Likert Scale measurement. Confirmatory factory analysis (CFA) was conducted to determine the good fit indices of the 5 personality types. Those types are 1) extraversion, 2) agreeableness, 3) conscientiousness, 4) openness and 5) neuroticism.…
Descriptors: Factor Analysis, Personality Measures, Likert Scales, Undergraduate Students
Hoshino, Kazumi; Zarit, Steven H.; Nakayama, Makoto – International Journal of Aging and Human Development, 2012
This study developed the Japanese version of the Gerotranscendence Scale Type 2 (the GST2) and examined reliability and validity of the scale. In Japan, 525 community-dwelling older adults (Male = 260, Female = 265) answered a questionnaire. An exploratory factor analysis of the Japanese version of the GST2 revealed the same three-factor structure…
Descriptors: Factor Analysis, Measures (Individuals), Foreign Countries, Construct Validity
Lin, Che-Li; Tsai, Chin-Chung; Liang, Jyh-Chong – European Journal of Psychology of Education, 2012
Conceptions of learning are drawn from an individuals' learning experiences, which are theoretically built upon the phenomenographic research method. Seven conceptions of learning in the domain of science are identified: "memorizing," "testing," "calculating and practicing," "increase of knowledge," "application," "understanding," and "seeing in a…
Descriptors: Factor Analysis, Profiles, Student Attitudes, Science Instruction
Dever, Bridget V.; Mays, Kristen L.; Kamphaus, Randy W.; Dowdy, Erin – Journal of Psychoeducational Assessment, 2012
The BASC-2 Behavioral and Emotional Screening System Teacher, Child/Adolescent Form (BESS Teacher Form C/A; Kamphaus & Reynolds, 2007) is a brief teacher-report rating scale designed to identify students who are at-risk for behavioral and emotional problems. The aim of this study was to describe the latent dimensions that underlie the…
Descriptors: Screening Tests, Rating Scales, Teachers, Factor Structure
Huntley, Edward D.; Juliano, Laura M. – Psychological Assessment, 2012
Expectancies for drug effects predict drug initiation, use, cessation, and relapse, and may play a causal role in drug effects (i.e., placebo effects). Surprisingly little is known about expectancies for caffeine even though it is the most widely used psychoactive drug in the world. In a series of independent studies, the nature and scope of…
Descriptors: Factor Analysis, Measures (Individuals), Anxiety, Sleep
Lin, Johnny; Bentler, Peter M. – Multivariate Behavioral Research, 2012
Goodness-of-fit testing in factor analysis is based on the assumption that the test statistic is asymptotically chi-square, but this property may not hold in small samples even when the factors and errors are normally distributed in the population. Robust methods such as Browne's (1984) asymptotically distribution-free method and Satorra Bentler's…
Descriptors: Factor Analysis, Statistical Analysis, Scaling, Sample Size
Bitsika, Vicki; Sharpley, Christopher F. – British Journal of Guidance & Counselling, 2012
The incidence, factor structure and scale item differences in anxiety-depression comorbidity were investigated in a sample of Australian university students defined according to the presence of anxiety and/or depression. The incidence of anxiety-depression comorbidity was over 32%, about four times that for anxiety or depression alone.…
Descriptors: College Students, Incidence, Factor Structure, Measures (Individuals)
Simon, George M. – Journal of Marital and Family Therapy, 2012
The common factors debate conducted on the pages of this and other major family therapy journals has evolved toward a preliminary consensus that the therapist plays a crucial role in activating and effectively bundling common and model-specific factors in the delivery of successful treatment. However, Blow, Sprenkle, and Davis (2007) remain…
Descriptors: World Views, Family Counseling, Therapy, Factor Analysis

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