MARC보기
LDR02064nmm uu200481 4500
001000000334630
00520240805180708
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438381797
035 ▼a (MiAaPQ)AAI10606269
035 ▼a (MiAaPQ)uiowa:15315
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 150
1001 ▼a Elchert, Daniel Matthew.
24510 ▼a Psychosocial Academic Behavioral Skills and College Enrollment: A Quantitative Analysis Using Logistic and Hierarchical Generalized Linear Models.
260 ▼a [S.l.] : ▼b The University of Iowa., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 194 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500 ▼a Adviser: Saba R. Ali.
5021 ▼a Thesis (Ph.D.)--The University of Iowa, 2018.
520 ▼a Many high school students who want to attend college never actually enroll. Multiple factors like barriers (e.g., financial, discrimination) and poor academic achievement prevent some high school students from matriculating to college. Researche
520 ▼a A cross-sectional, survey-based methodology was used to address the research questions. Data from operational research by ACT, Inc. using the Engage 10-12 instrument were used to analyze students' psychosocial academic behavioral skills. Standar
590 ▼a School code: 0096.
650 4 ▼a Counseling Psychology.
650 4 ▼a Psychology.
650 4 ▼a Educational psychology.
650 4 ▼a Quantitative psychology.
650 4 ▼a Higher education.
690 ▼a 0603
690 ▼a 0621
690 ▼a 0525
690 ▼a 0632
690 ▼a 0745
71020 ▼a The University of Iowa. ▼b Psychological & Quantitative Foundations.
7730 ▼t Dissertation Abstracts International ▼g 80-02B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0096
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996623 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자