factor structure invariance

The aim of this study is to determine the effect of word clustering method on vocabulary learning of Iranian EFL learners through a case of semantic versus phonological clustering. To this effect, 80 homogeneous students from four intermediate classes at an English institute in Torbat e Heydariyeh participated in this research. They were assigned to four groups according to semantic versus phonological clustering [± semantic, ± phonological] then, based on each groups' clustering pattern, 10 selected words were taught. At the end of the treatment phase, immediate and delayed posttests of vocabulary were given to students in a multiple choice format to understand the effects of word clustering in short and long term vocabulary learning. The analysis of the research was done in SPSS through one-way ANOVA. The results in both immediate and delayed post-tests showed a statistically significant difference among groups. The obtained mean scores revealed this rank order of mean performance in both immediate and delayed post-tests: [+ semantic, + phonological], [+ semantic, - phonological], [- semantic, + phonological], and [- semantic, - phonological]. Additionally, the effect of time did not turn out to be significant. These findings and relevant implications are discussed in the paper.

The aim of the current study was twofold: (1) to validate the internal structure of the general English (GE) section of the university entrance examination for Ph.D applicants into the English programs at state universities in Iran (Ph.D. UEE), and (2) to examine the factor structure invariance of the Ph.D. UEE across two proficiency levels. Structural equation modeling (SEM) was used to analyze the responses of a random sample of participants (N=1009) who took the test in 2014 to seek admission to English programs at Iranian state universities. First, four models (unitary, uncorrelated, correlated and higher-ordered) were estimated and compared to find the model that best represented the data. Then, the factor structure invariance of the test across two proficiency levels was explored using multigroup confirmatory factor analysis. The higher-order and correlated three-factor model showed the best fit to the data. The result also showed that the structure of the test remained invariant across both proficiency levels. These results supported the multi-componential view of language proficiency. It was found that there is no relationship between levels of language proficiency and the structure of the test. However, the results called into question the score-reporting policy for the PhD UEE and led to the conclusion that a single total score does not reflect the structure of the test.