Analyzing Complex Longitudinal Data in Educational Research: A Demonstration With Project English Language and Literacy Acquisition (ELLA) Data Using xxM

被引：2

作者：

Kwok, Oi-Man ^{[1
,2
]}

Lai, Mark Hok-Chio ^{[3
]}

Tong, Fuhui ^{[1
,2
]}

Lara-Alecio, Rafael ^{[1
,2
]}

Irby, Beverly ^{[1
,2
,4
]}

Yoon, Myeongsun ^{[1
,2
]}

Yeh, Yu-Chen ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Educ Psychol, College Stn, TX 77843 USA

[2] Ctr Res & Dev Dual Language & Literacy Acquisit C, College Stn, TX 77843 USA

[3] Univ Cincinnati, Sch Educ, Cincinnati, OH USA

[4] Texas A&M Univ, Educ Leadership Res Ctr, Dept Educ Adm & Human Resource Dev, College Stn, TX USA

来源：

FRONTIERS IN PSYCHOLOGY | 2018年 / 9卷

关键词：

longitudinal data analysis; multilevel structural equation models; educational psychology; intervention; bilingual education; GROWTH; MODEL;

D O I：

10.3389/fpsyg.2018.00790

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

When analyzing complex longitudinal data, especially data from different educational settings, researchers generally focus only on the mean part (i.e., the regression coefficients), ignoring the equally important random part (i.e., the random effect variances) of the model By using Project English Language and Literacy Acquisition (ELLA) data, we demonstrated the importance of taking the complex data structure into account by carefully specifying the random part of the model, showing that not only can it affect the variance estimates, the standard errors, and the tests of significance of the regression coefficients, it also can offer different perspectives of the data, such as information related to the developmental process We used xxM (Mehta 2013), which can flexibly estimate different grade-level variances separately and the potential carryover effect from each grade factor to the later time measures Implications of the findings and limitations of the study are discussed.

引用

页数：12