Diversity in Education
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K-12 Integration, Desegregation, and Segregation Archive
K-16 STEM Archive
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K-12 Integration, Desegregation, and Segregation Abstracts (0)
K-16 STEM Abstracts (26)
Keywords
Ability
(2)
Academic Achievement
(3)
Achievement
(1)
African American
(1)
Attitudes
(3)
Barriers
(2)
Belonging
(2)
Career Choices
(1)
Choice of Major
(1)
College
(4)
College Major Choice
(4)
College Preparation
(1)
Community College
(3)
Community College Students
(1)
Composition
(1)
Computer Science
(1)
Degree Attainment
(1)
Education
(1)
Engagement
(2)
Engineering
(3)
Environmental Factors
(1)
Equity
(1)
Expectancy Value Model
(1)
Expectations
(1)
Extracurricular Activities
(2)
Family
(1)
Female
(2)
Gender
(14)
Gender Composition
(1)
Gender Gaps
(1)
Gifted Education
(1)
GPA
(1)
High School
(3)
Identity
(1)
Interest
(3)
International
(2)
Intersectionality
(1)
Major in STEM
(1)
Math
(3)
mentor
(2)
Meta-Analysis
(1)
Middle School
(1)
Motivation
(1)
Multiple-group SEM
(1)
Perceptions
(1)
Performance
(1)
Persistence
(2)
Predictors
(1)
Preparation
(1)
Race
(6)
Racial Composition
(1)
Retention
(2)
Role Model
(2)
School Reform
(1)
Science
(4)
Secondary School
(1)
Self-concept
(1)
Self-Confidence
(1)
Self-Efficacy
(26)
SES Composition
(1)
Social Cognitive Career Theory
(7)
Socioeconomic Status
(1)
STEM
(17)
STEM Career Intent
(3)
STEM Education
(3)
STEM Major
(1)
STEM Preparation
(2)
STEM School
(1)
Stereotype Threat
(1)
Teacher
(2)
Transfer
(2)
Women
(2)
Research Designs
Administrative Data
(2)
Case Study
(1)
Interview
(2)
Interviews
(2)
Literature Review
(2)
Quasi-Experiment
(1)
Secondary Data
(1)
Secondary Survey Data
(8)
Survey
(13)
Analysis Methods
ANOVA
(1)
Chi-square
(1)
Cluster Analysis
(1)
Confirmatory Factor Analysis
(1)
Content Analysis
(1)
Correlation
(1)
Correlation analysis
(1)
Correlations
(1)
Descriptive Statisitcs
(3)
Descriptive Statistics
(11)
exploratory analysis
(1)
Fixed Effect Models
(1)
Hierarchal Linear Modeling
(3)
Hierarchical Linear Modeling (HLM)
(1)
Interviews
(1)
Literature Review
(1)
Logistic Regression
(2)
MANOVA
(1)
Multilevel Models
(1)
Multiple Linear Regression Analysis
(2)
Multiple Regression Equation
(1)
Multivariate Meta-Analysis
(1)
Phenomenological Approach
(1)
Propensity Score Matching
(1)
Structural Equation Modeling
(4)
t-test
(2)
Two-level Cross-classified Model
(1)
Researchers
Adem Ekmekci
(1)
Alan Green
(1)
Alana Unfried
(1)
Alpaslan Sahin
(1)
Angela Byars-Winston
(1)
Antonio M. Lopez Jr.
(1)
Barbara Means
(1)
Bethany Marie Bernasconi
(1)
Cate C. Samuelson
(1)
Catherine T. Amelink
(1)
Charles Hamrin Jr.
(1)
Chun-Yen Chang
(1)
Chung-Yuan Hsu
(1)
Claudia Buchmann
(1)
Danielle Sanderson
(1)
Dario Sansone
(1)
David MacPhee
(1)
Denise Wilson
(1)
Diane Jones
(1)
Dimitra Jackson Smith
(1)
E. Jacquelin Dietz
(1)
Elizabeth Litzler
(1)
Elizabeth M. DeThomas
(1)
Eric Wiebe
(1)
Frankie Santos Laanan
(1)
Fraser Bocell
(1)
Frederick G. Lopez
(1)
Gary Felder
(1)
Haiwen Wang
(1)
Hasan Bircan
(1)
Hersh C. Waxman
(1)
Hung-Bin Sheu
(1)
Ingrid K. Weigold
(1)
Iris R. Wagstaff
(1)
Iryna Johnson
(1)
Jacob Diestelmann
(1)
Joy Crawford
(1)
Julia N. Savoy
(1)
Julie A. Lorah
(1)
Linda M. Subich
(1)
Malinda Faber
(1)
Mee Joo Kim
(1)
Melani Plett
(1)
Meredith Mauney
(1)
Michael C. Cadaret
(1)
Min-Hsien Lee
(1)
Nancy N. Heilbronner
(1)
Nanette Veilleux
(1)
Paul J. Hartung
(1)
Rebecca Bates
(1)
Richard Felder
(1)
Robert W. Lent
(1)
Samantha Farro
(1)
Scientific and Cultural Organization (UNESCO) United Nations Educational
(1)
Semra Sungur
(1)
Sharnina Artis
(1)
Sharon J. Lynch
(1)
Silvia Sara Canetto
(1)
Siqi Han
(1)
Soko S. Starobin
(1)
Tamara Floyd-Smith
(1)
Terrell L. Strayhorn
(1)
Tsu-Jae King Liu
(1)
Vanessa L. Peters
(1)
Viki Young
(1)
William T. Hoyt
(1)
Xueli Wang
(2)
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