Student dropout and mobility: a chicken-and-egg-situation?

Slides:

Advertisements

Similar presentations

AIR 2005 Student Research & Information Student Affairs William Armstrong, PhD & Heidi Carty, PhD UC San Diego 1 Comparing the Academic Transition of Freshmen.

Advertisements

Explaining Race Differences in Student Behavior: The Relative Contribution of Student, Peer, and School Characteristics Clara G. Muschkin* and Audrey N.

Theories of Retention and Student Success

ONCE AGAIN-ST ABANDON OPENING TO NEW COUNTRIES EXPERIENCES INSTITUTE OF EDUCATIONAL SCIENCES BUCHAREST 30 MAY 2008.

Carl E. Bentelspacher, Ph.D., Department of Social Work Lori Ann Campbell, Ph.D., Department of Sociology Michael Leber Department of Sociology Southern.

Slide Title Text…. Navigating the system Educational pathways of second generation Turks in three European cities Philipp Schnell Austrian Academy of.

Joanne Pocock, PhD January 24 and 25, 2013 Concordia University.

Rural High School Aspirations Study National Research Center on Rural Education Support Judith L. Meece, Ph.D. NRCRES, University of North Carolina-Chapel.

The Standard Deviants University of California, Riverside *We would like to thank the Southern California Academic Center of Excellence on Youth Violence.

Source: Postsecondary Education OPPORTUNITY Collaborating to Expand the Pipeline “Let’s Get Real” Presented by: Ed C. Apodaca November 3-5, 2005.

Timor-Leste AME EDUCATION SECTOR PROFILE. Education Structure Timor-Leste Source: UNESCO Institute for Statistics, World Bank EdStats Education System.

Fixing and Preventing the Dropout Rate Jamie Lapsley Brian Hatz.

The literacy divide: territorial differences in the Italian education system Claudio QUINTANO, Rosalia CASTELLANO, Sergio LONGOBARDI University of Naples.

1 Their Needs And Characteristics Young Adolescents:

Organisational predictors of (track and subject) choices and success in high school: an exploration of the ‘effect’ of middle school characteristics ICSEI.

Organizational Culture for Research Integrity in Academic Health Centers Jim Vander Putten (University of Arkansas-Little Rock) Carol R. Thrush (University.

Masculinities/Femininities in Education Saskia Aerts Wendelien Vantieghem Department of Sociology.

The Grade 9 Cohort of Fall 2000: Graduation and Post-secondary Pathways Montreal, November 2009 Paul Anisef York University Robert S. Brown Toronto DSB/York.

School segregation and self-fulfilling prophecies as determinants of academic achievement in Flanders Dr. Orhan Agirdag Ghent University, CuDOS.

6 th Grade Chapter 1 Lesson 3. Resisting Negative Peer Pressure  Peer Pressure- the influence that people of a similar age place on a person to behave.

Bonds and bridges: The relative importance of relations with peers and faculty for college student achievement Sandra Dika, PhD Assistant Research Professor.

FIXED AND RANDOM EFFECTS IN HLM. Fixed effects produce constant impact on DV. Random effects produce variable impact on DV. F IXED VS RANDOM EFFECTS.

Lance C. Kennedy-Phillips, Ph.D. Associate Vice Provost for Institutional Research University of Illinois at Chicago Collecting Data in Higher Education.

ABSTRACT In this study, structural equation modeling is applied to examine the determinants of students’ satisfaction and their perceived learning outcomes.

By: Katherine Haynes   It is an intentional, pro-social approach  It engages youth within their communities, schools, organizations, peer groups,

Life in the FASTLANE: Reducing high-risk sexual behaviors among HIV-, heterosexual meth users Thomas L. Patterson, PhD; Brent Mausbach, PhD; Shirley Semple,

Religious quest orientation and anti-gay sentiment: Nuancing the relationship of negative attitudes towards homosexuality amongst Muslim and Christian.

Parent RBL BNO it’s in our DNA

The Role of Public Commitment in an Academic Context

Attachment style and condom use across and within dating relationships

Annelore Van der Eecken, dr. Lieve Bradt, Prof. dr. Ilse Derluyn

Maximising Opportunities Conference

Department of Sociology

The transition to adulthood: a game changer?

Predictors of early school leaving in Flemish secondary education P&V conference on early school leaving and youth unemployment Mieke Van Houtte.

What’s So Great About Service Learning?

Dr. Christopher C. A. BSc., PGCE, MSCP, PhD

and high risk health behaviors.

Promoting Health in Young Adolescents EMD 335 | Newberry College

Racial Concentration and School Effectiveness in SFUSD

Consumer Decision Making

Testing the role of accountability in teachers’ school placement decisions: Findings from an experimental study Sabine Glock Florian Klapproth Sabine Krolak-Schwerdt.

Institute of Facility Management Workplace Research & Management

Off to a Good Start? Primary School Experiences and the Transition to Second-Level Education Emer Smyth.

Department of Sociology

Early Sexual Activity: Prevalence and Correlates Among School Adolescents in Rural Community, Central Thailand Fifth year medical student, Phramongkutklao.

And the influence on Students’ education

Consumer Decision Making

Motivation and Engagement in Learning

By Moses Weefur Minnesota State University Moorhead

Resources to Support Your Work

Between-school Variance in Achievement

Being Prepared, Getting in Trouble and Other Student Misbehaviors: A Comparison of Immigrants and the Native-Born Stephanie Ewert Department of Sociology.

Orphaned Children Morrison and Ellwood (2000):

Peer Groups/Networks.

Social Psychology Talbot

ELEMENTS OF HIERARCHICAL REGRESSION LINEAR MODELS

Family Functioning and Social Life Regulation among Adolescents

The Contexts for Adolescent Female Sexual Decision-making

Parental Educational Participation

Parental background and young adults’ homeownership,

Korey F. Beckwith & David E. Szwedo James Madison University

Introduction to Between-Subjects Experiments

Consumer Decision Making

UNDERSTANDING ITS FOUNDATIONS AND ITS COMPLEXITIES

Engaging Migrant Parents in Meaningful Parent Involvement

Psychologically Controlling Teaching (PCT): Examining Self-Regulated Learning and Achievement Outcomes and Antecedents Eline Sierens¹, Bart Soenens², Maarten.

Arely M. Hurtado1,2, Phillip D. Akutsu2, & Deanna L. Stammer1

Presentation transcript:

Student dropout and mobility: a chicken-and-egg-situation? Department of sociology Research group CuDOS Student dropout and mobility: a chicken-and-egg-situation? RESL Conference, January 2018 EMMA DEGROOTE, MIEKE VAN HOUTTE & JANNICK DEMANET

Starting point School dropout and mobility theoretically linked voluntary departure from educational institution similar antecedents Consequences for non-mobile students? decline in academic achievement

behavioral engagement Research question: influences of mobility and dropout rates on non-mobile students’ school engagement? Schools’ Non-mobile students’ Dropout rates In-mobility rates Out-mobility rates behavioral engagement Cognitive engagement Emotional engagement

Theoretical reasoning Students’ school engagement influenced bij peers through... information exchange peer pressure modelling Condition: visible and meaningful peers  determined by school composition

Current study H1 School dropout and out-mobility rates negatively influence non-mobile students’ school engagement H2a Negative influences are more extensive from dropout rates than from out-mobility rates H2b Negative influences are more extensive from out-mobility rates than from dropout rates H3 School in-mobility rates negatively influence non-mobile students’ school engagement

Data International Study of City Youth (ISCY) gathered in 2014 - 2015 selective attrition 1632 non-mobile students (in 5th year) 25 schools in Ghent

Model Design Variables dropout, out- and in-mobility rates  non-mobile students’ school engagement Design multilevel analysis (MLwiN) Variables dependent: non-mobile students’ school engagement (behavioral, cognitive, emotional) independent: student level: gender, retention, age, immigrant status, track, parental education school level: dropout rates, out- and in-mobility rates, proportion high educated parents

behavioral engagement Results unconditional model: 8.6% of the variance in behavioral engagement between schools (p < .001) *** p < 0.001; ** p < 0.01; * p < 0.05 behavioral engagement Intercept 17,453 (0,754) *** School level School dropout rates 0,012 (0,015) School out-mobility rates 0,010 (0,012) School in-mobility rates -0,023 (0,009) * Proportion of high educated parents 0,003 (0,008) Student level Gender -0,625 (0,136) *** Age -0,173 (0,095) Immigrant background -0,144 (0,175) Retention -0,554 (0,169) ** Arts track (ref. Academic) -0,470 (0,472) Technical track (ref. Academic) -0,333 (0,439) Vocational track (ref. Academic) -0,564 (0,461) Primary education parents (ref. Higher) 0,220 (0,282) Secondary education parents (ref. Higher) 0,109 (0,158) Variance components Intercept U0 5,587 (0,207)*** Behavioral engagement U1 0,133 (0,068)*

Results Unconditional model: 3.1% of the variance in cognitive engagement between schools (p < .05) *** p < 0.001; ** p < 0.01; * p < 0.05 Cognitive engagement Intercept 27,881 (1,238)*** School level School dropout rates -0,006 (0,024) School out-mobility rates -0,032 (0,020) School in-mobility rates 0,008 (0,014) Proportion of high educated parents 0,014 (0,014) Student level Gender -1,048 (0,241)*** Retention 0,277 (0,303) Age 0,192 (0,172) Immigrant background 0,633 (0,313)* Arts track (ref. Academic) -0,094 (0,753) Technical track (ref. Academic) 1,171 (0,729) Vocational track (ref. Academic) 0,386 (0,775) Primary education parents (ref. Higher) 0,064 (0,505) Secondary education parents (ref. Higher) -0,236 (0,285) Variance components Intercept U0 17,967 (0,669)*** behavioral engagement U1 0,247 (0,161)

Results Unconditional model: 4.3% of the variance in emotional engagement between schools (p < .001) *** p < 0.001; ** p < 0.01; * p < 0.05 Emotional engagement Intercept 11,123 (0,621)*** School level School dropout rates -0,008 (0,012) School out-mobility rates -0,011 (0,010) School in-mobility rates 0,007 (0,007) Proportion of high educated parents 0,003 (0,007) Student level Gender -0,391 (0,118)*** Retention -0,090 (0,148) Age 0,030 (0,083) Immigrant background 0,298 (0,152)* Arts track (ref. Academic) 0,491 (0,382) Technical track (ref. Academic) 0,487 (0,365) Vocational track (ref. Academic) 0,455 (0,386) Primary education parents (ref. Higher) 0,458 (0,246) Secondary education parents (ref. Higher) 0,135 (0,138) Variance components Intercept U0 4,279 (0,159)*** behavioral engagement U1 0,072 (0,043)

Conclusion Low levels of behavioral engagement in non-mobile students High school dropout and mobility rates

Emma Degroote PhD student sociology Department of sociology E. Emma Emma Degroote PhD student sociology Department of sociology E Emma.Degroote@UGent.be www.cudos.ugent.be Ghent University @ugent Ghent University