درخت حوزه‌های تخصصی

This study aimed to explore the relationship between language acquisition and grade four senior high school (G4SHS) students’ achievement in English as a foreign language (EFL). To this end the 41-item English Language Acquisition Scale (ELAS) designed by Khodadady and Younesi (2017) was administered to 518 G4SHS students. Also to find the probable relationship between ELAS, its latent variables and participant achievement in EFL classes in EFL classes 126 participants were randomly selected out of population to answer schema-based cloze multiple choice items test ( S- test) designed by Khodadady and Ghergloo ( 2013). To know which of the G4SHS students who took the ELAS took the S-Test as well the researcher was matched the codes of the ELAS S-test and ELTAS carefully. The results showed that the ELAS consists of five factors, i.e., Qualified, grammatization, Humanistic, Engagement and Orientation. Also the ELAS and its underlying factors show significant relationships with English achievement scores. The results of the study are discussed .

This study aimed to investigate the impact of the hospital information system (HIS) on nurses' satisfaction in Iranian public hospitals and to examine the moderating effect of computer literacy. The study population consisted of nurses working in public hospitals in Iran. A sample of 385 Iranian public hospitals was surveyed and a total of 1912 questionnaires were collected over 9 months. The analytical method used to empirically test the proposed hypotheses was the SEM technique using SmartPLS3. Results showed that all four variables of nurses' attitude, system quality, information quality, and service quality had significant positive effects on nurses' satisfaction with HIS. The findings also indicated that the effects of nurses' attitude, system quality, and particularly service quality increased on nurses' satisfaction with HIS by rising computer literacy, and only the effect of (computer literacy × information quality) was not significant on satisfaction. The use of FIMIX, CTA, and permutation test analyses is the innovation of the analysis.

The emergence of a new theory of"macroaccounting" with a new wave of accounting research over the last decade tries to explain and use the Aggregate information of interim accounting statements in economic forecasts. Macroaccounting theory suggests that economists and macroeconomic forecasters use Aggregate accounting information at the macroeconomic level. For example, accounting earning is used to predict GDP, cost stickiness is used to predict unemployment, and the ratio of book value to market value is used to predict inflation. Earnings growth dispersion contains information about trends in labor reallocation, unemployment change, and, ultimately, aggregate output. initial macroeconomic estimates released by the Central bank of Islamic Republic of Iran and Planning and Budget Organization and Statistical Center of Iran do not fully incorporate this information. Accordingly, the present study, based on macroaccounting theory, has examined the Predicting Restatements in Macroeconomic Indicators using Accounting Information. The population of this study includes all companies listed in the TSE. Due to the seasonality of the data and the fit of the models in a time series, the observations reach 40 times (2008:1to2018:4). The research method is based on time series data, VARtechnique. the The results suggest that earnings growth dispersion provides related data about final GDP growth. The results suggest that after considering the effect of other influential factors, specifically real initial GDP, earnings growth dispersion is useful in forecasting future GDP changes. The findings are important for economists and policymakers to have more accurate economic estimation and prediction by applying for accounting Information.