A COMPARISON OF MULTI-LEVEL MODELING AND SINGLE-LEVEL ANALYSIS TECHNIQUES AND THEIR APPLICATION TO TIMSS 2007 DATA ANALYSIS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NAQSH ZAHRA; MOQADDAM AZAM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Educational Measurement Year:2012 | Volume:3 | Issue:8 Page(s): 133-154

Download Full-Text

Persian Verion

View:

1,571

Download:

Cites:

Information Journal Paper

Title

A COMPARISON OF MULTI-LEVEL MODELING AND SINGLE-LEVEL ANALYSIS TECHNIQUES AND THEIR APPLICATION TO TIMSS 2007 DATA ANALYSIS

Author(s)

NAQSH ZAHRA | MOQADDAM AZAM | Issue Writer Certificate

Keywords

MULTI-LEVEL ANALYSISQ2

SELF-CONCEPTQ2

ATTITUDEQ2

EVALUATIONQ2

TIMSS 2007Q2

Abstract

In traditional approaches, single-level statistical models were generally used to analyze IEA data. In hierarchical linear models, each level is, however, introduced by its sub-model, and the variables' interrelations are explained in each specified level. The way the variables affect the existent relations in other levels is also determined. The main purpose of this paper is to compare multi-level modeling and single-level analysis techniques and underline the importance of applying the former in analyzing the data extracted from the TIMSS 2007 questionnaires completed by the eighth graders. Due to their nature, the IEA data were analyzed by HLM software as the students were nested within classes, classes within schools, and schools within countries. In the single-level analysis, there was a significant relationship between SELF-CONCEPT, ATTITUDE and EVALUATION at 0.001 level with mathematics achievement (0.48, 0.296 and 0.134, respectively). Furthermore, the results of two-level analysis by one-way ANOVA with random effects showed that these three variables (self-concept, ATTITUDE and EVALUATION) explained 30.10% and 47% of mathematics achievement variance at student and school levels, respectively. The different results of these two analyses demonstrated the importance of using multi-level analyses for nested data like TIMSS. Regarding the nested nature of TIMSS data and the multi-level method used to extract them, the application of multi-level modeling techniques is recommended to obtain more detailed data on the factors influencing the students' achievement.

Cites

References

No record.

Cite

APA: Copy

NAQSH, ZAHRA, & MOQADDAM, AZAM. (2012). A COMPARISON OF MULTI-LEVEL MODELING AND SINGLE-LEVEL ANALYSIS TECHNIQUES AND THEIR APPLICATION TO TIMSS 2007 DATA ANALYSIS. TRAINING MEASUREMENT, 3(8), 133-154. SID. https://sid.ir/paper/214588/en

Vancouver: Copy

NAQSH ZAHRA, MOQADDAM AZAM. A COMPARISON OF MULTI-LEVEL MODELING AND SINGLE-LEVEL ANALYSIS TECHNIQUES AND THEIR APPLICATION TO TIMSS 2007 DATA ANALYSIS. TRAINING MEASUREMENT[Internet]. 2012;3(8):133-154. Available from: https://sid.ir/paper/214588/en

IEEE: Copy

ZAHRA NAQSH, and AZAM MOQADDAM, “A COMPARISON OF MULTI-LEVEL MODELING AND SINGLE-LEVEL ANALYSIS TECHNIQUES AND THEIR APPLICATION TO TIMSS 2007 DATA ANALYSIS,” TRAINING MEASUREMENT, vol. 3, no. 8, pp. 133–154, 2012, [Online]. Available: https://sid.ir/paper/214588/en

Related Journal Papers