Staff- and school-level predictors of school organizational health: A multilevel analysis

被引:44
|
作者
Bevans, Katherine
Bradshaw, Catherine
Miech, Richard
Leaf, Philip
机构
[1] Childrens Hosp Philadelphia, Ctr Dis Control & Prevent, Philadelphia, PA 19104 USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD 21205 USA
[3] Univ Colorado, Hlth Sci Ctr, Dept Hlth & Social Behav, Denver, CO 80217 USA
[4] Univ Colorado, Hlth Sci Ctr, Dept Hlth & Behav Sci, Denver, CO 80217 USA
关键词
environmental health; mental health; violence; injury prevention;
D O I
10.1111/j.1746-1561.2007.00210.x
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Background: An organizationally healthy school environment is associated with favorable student and staff outcomes and thus is often targeted by school improvement initiatives. However, few studies have differentiated staff-level from school-level predictors of organizational health. Social disorganization theory suggests that school-level factors, such as faculty turnover, student mobility, and concentration of student poverty, would be negatively associated with school organizational health, but these relationships may be moderated by staff-level factors. Methods: The present study examined the association among school- and staff-level predictors of staff-perceived school organizational health (eg, academic emphasis, collegial leadership, and staff affiliation), as measured by the Organizational Health Inventory. Results: Multilevel analyses on data from 1395 staff across 37 elementary schools indicated that school membership accounted for between 26% and 35% of the variance in different components of staff-perceived organizational health. Two-level hierarchical analyses indicated that both school- and staff-level characteristics are important predictors of organizational health. Furthermore, some school and staff characteristics interacted to predict staff affiliation and collegial leadership. Conclusions: Findings suggest that factors at both the school and staff level are important potential targets for school improvement. Administrators aiming to improve relationships among staff members should be cognizant of staff-level characteristics (race, age, and role in school) associated with less favorable perceptions of the school environment, whereas efforts to enhance student work ethic and discipline should target schools with specific school-level characteristics (high rates of faculty turnover and student mobility).
引用
收藏
页码:294 / 302
页数:9
相关论文
共 50 条
  • [31] MULTILEVEL EFFECTS OF INDIVIDUAL- AND SCHOOL-LEVEL FACTORS ON BLOOD-LIPIDS OF JUNIOR HIGH SCHOOL STUDENTS
    Yang, W. J.
    Hung, Y. C.
    Chang, Y. H.
    Lee, C. H.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2009, 169 : S74 - S74
  • [32] Individual- and School-Level Factors Contributing to Disproportionate Suspension Rates: A Multilevel Analysis of One State
    Camacho, Kristine A.
    Krezmien, Michael P.
    JOURNAL OF EMOTIONAL AND BEHAVIORAL DISORDERS, 2019, 27 (04) : 209 - 220
  • [33] Association between excessive screen time and school-level proportion of no family rules among elementary school children in Japan: a multilevel analysis
    Sekine, Michikazu
    Yamada, Masaaki
    Tatsuse, Takashi
    ENVIRONMENTAL HEALTH AND PREVENTIVE MEDICINE, 2024, 29
  • [34] Parental contributions, school-level finances and decentralization: an analysis of Nicaraguan autonomous school budgets
    Gershberg, AI
    Meade, B
    COMPARATIVE EDUCATION, 2005, 41 (03) : 291 - 308
  • [35] School-Level Variation in Health Outcomes in Adolescence: Analysis of Three Longitudinal Studies in England
    Hale, Daniel R.
    Patalay, Praveetha
    Fitzgerald-Yau, Natasha
    Hargreaves, Dougal S.
    Bond, Lyndal
    Goerzig, Anke
    Wolpert, Miranda
    Stansfeld, Stephen A.
    Viner, Russell M.
    PREVENTION SCIENCE, 2014, 15 (04) : 600 - 610
  • [36] School-Level Variation in Health Outcomes in Adolescence: Analysis of Three Longitudinal Studies in England
    Daniel R. Hale
    Praveetha Patalay
    Natasha Fitzgerald-Yau
    Dougal S. Hargreaves
    Lyndal Bond
    Anke Görzig
    Miranda Wolpert
    Stephen A. Stansfeld
    Russell M. Viner
    Prevention Science, 2014, 15 : 600 - 610
  • [37] Is There an Immigration and School-Level Crime Link?
    Peguero, Anthony A.
    Irizarry, Yasmiyn
    Iwama, Janice
    King, Sanna
    Dunning-Lozano, Jessica L.
    Hong, Jun Sung
    Bondy, Jennifer M.
    CRIME & DELINQUENCY, 2023, 69 (08) : 1339 - 1368
  • [38] Setting school-level outcome standards
    Stern, DT
    Ben-David, MF
    Norcini, J
    Wojtczak, A
    Schwarz, MR
    MEDICAL EDUCATION, 2006, 40 (02) : 166 - 172
  • [39] ROBUSTNESS OF THE SCHOOL-LEVEL IRT MODEL
    TATE, RL
    JOURNAL OF EDUCATIONAL MEASUREMENT, 1995, 32 (02) : 145 - 162
  • [40] School-level predictors for the use of ICT in schools and students’ CIL in international comparison
    Gerick J.
    Eickelmann B.
    Bos W.
    Large-scale Assessments in Education, 5 (1)