Open AccessDiscernment of Pitfalls in Understanding Finite and Non-Finite Verb Structures by English Language Learners
Author(s) -
Muahamad Ali Shahid,
Anser Mahmood,
Rana Saeed,
Muhammd Shaffaqat,
Gulshan Naz
Publication year - 2021
Publication title -
journal of humanities and social sciences studies
Language(s) - English
Resource type - Journals
ISSN - 2663-7197
DOI - 10.32996/jhsss.2021.3.5.5
Subject(s) - linguistics , mcnemar's test , psychology , computer science , mathematics education , natural language processing , mathematics , statistics , philosophy
The current study was conducted to investigate the "Discernment of Pitfalls in Understanding Finite and Non-Finite Verb Structures by English Language Learners." Data was collected for this purpose from 200 English Language Learners of Intermediate Level at the Hope College of Science & Management, Garden Town Sillanwali, Sargodha Division, Punjab (Pakistan). To achieve the research objectives, the variables were interpreted using three theories: "Linguistic Morphology (Bauer, 2003)," "Syntactic Functions (Jong-Bok Kim and Peter Sells, 2007)," and "The Principle of Semantic Compositionality (Gottlob Frege, 1953)." An experimental approach was used to collect quantitative primary data, with McNemar Test Conduction in two stages: Pre-Test and Post-Test. Convenience sampling techniques were used to collect data. A six-week treatment was carried out to determine the range between two extreme Tests. The mean difference in linguistic competence was 64.69434. P-Values (Probability Values) 000 demonstrated that the Null hypothesis was rejected and the Alternate Hypothesis was accepted. It meant that the English Language Learners did exceptionally well following the teaching intervention. IBM SPSS Statistics was used to analyze the data. The entire project was formatted in APA (American Psychological Association) Sixth Edition formatting style.