𝐄𝐥𝐬𝐞𝐯𝐢𝐞𝐫 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 𝐀𝐜𝐚𝐝𝐞𝐦𝐲 offers this free course
I will share 10 useful courses about research. This is the first...more soon...
𝟏. 𝐇𝐨𝐰 𝐭𝐨 𝐰𝐫𝐢𝐭𝐞 𝐚 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐫𝐞𝐯𝐢𝐞𝐰 (𝟔𝟎 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)
You will learn
- What reviewers look for in a literature review?
- How to conceptualize and write a review?
- Common myths about literature reviews.
https://researcheracademy.elsevier.com/writing-research/technical-writing-skills/editor-guide-writing-review-article?utm_campaign=STMJ_1731564290_PUBC_TRAIN&utm_medium=SORG&utm_source=LI&dgcid=STMJ_1731564290_PUBC_TRAIN
I will share 10 useful courses about research. This is the first...more soon...
𝟏. 𝐇𝐨𝐰 𝐭𝐨 𝐰𝐫𝐢𝐭𝐞 𝐚 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐫𝐞𝐯𝐢𝐞𝐰 (𝟔𝟎 𝐦𝐢𝐧 𝐯𝐢𝐝𝐞𝐨)
You will learn
- What reviewers look for in a literature review?
- How to conceptualize and write a review?
- Common myths about literature reviews.
https://researcheracademy.elsevier.com/writing-research/technical-writing-skills/editor-guide-writing-review-article?utm_campaign=STMJ_1731564290_PUBC_TRAIN&utm_medium=SORG&utm_source=LI&dgcid=STMJ_1731564290_PUBC_TRAIN
Elsevier Researcher Academy
An editor’s guide to writing a review article
Writing a compelling review article is about more than picking an interesting topic and gathering the latest references. It’s an opportunity to share your views on the most recent trends in the area, discuss which hypotheses seem best supported or which technologies…
❤9🔥3
Forwarded from Seyyed Hossein Kashef
📢🎓 موسسه آموزش عالی آزاد "آراد سرزمین پندار بارمان"، با همکاری انجمنهای علمی گروه زبان و ادبیات انگلیسی دانشگاه ارومیه، دانشگاه الزهرا، دانشگاه تهران، کانون LitClub دانشگاه خوارزمی، دانشگاه شیراز، دانشگاه علامه طباطبایی، دانشگاه کاشان برگزار میکند:
📖سومین نشست علمی - ادبی در حوزه نقد ادبی با عنوان:
✨ ((بوطیقای شناختی و مطالعات ادبی)) ✨
🎤 سخنران: جناب آقای دکتر حسین پیرنجم الدین
(دانشیار - عضو هیئت علمی دانشگاه اصفهان)
🎙 میزبان: خانم دکتر فاطمهسادات یحییپور
📅 زمان: پنجشنبه ۱۴۰۳/۱۲/۱۶ ⏰ ساعت ۱۲
🗣 زبان برگزاری: انگلیسی
📚 توصیهشده برای تمامی علاقهمندان در حوزه نقد، بهویژه دانشجویان رشتههای ادبیات فارسی، انگلیسی و دیگر زبانهای خارجی
🎓 به شرکتکنندگان در نشست، گواهی حضور ارائه خواهد شد.
🔗 لینک ثبتنام:
📌 http://aradihe.com/Cogpoetics
🆔: @elu_urmia
📖سومین نشست علمی - ادبی در حوزه نقد ادبی با عنوان:
✨ ((بوطیقای شناختی و مطالعات ادبی)) ✨
🎤 سخنران: جناب آقای دکتر حسین پیرنجم الدین
(دانشیار - عضو هیئت علمی دانشگاه اصفهان)
🎙 میزبان: خانم دکتر فاطمهسادات یحییپور
📅 زمان: پنجشنبه ۱۴۰۳/۱۲/۱۶ ⏰ ساعت ۱۲
🗣 زبان برگزاری: انگلیسی
📚 توصیهشده برای تمامی علاقهمندان در حوزه نقد، بهویژه دانشجویان رشتههای ادبیات فارسی، انگلیسی و دیگر زبانهای خارجی
🎓 به شرکتکنندگان در نشست، گواهی حضور ارائه خواهد شد.
🔗 لینک ثبتنام:
📌 http://aradihe.com/Cogpoetics
🆔: @elu_urmia
Just published: Narrative trajectory in identity and subjectivity research in applied linguistics
Author links open overlay panel
By: Steven Yeung in Research Methods in Applied Linguistics
This paper introduces the concept of narrative trajectory as an analytical approach to exploring the development of identity and subjectivity.
Published open access
Link: https://doi.org/10.1016/j.rmal.2025.100189
https://www.sciencedirect.com/science/article/pii/S2772766125000102?via%3Dihub
Author links open overlay panel
By: Steven Yeung in Research Methods in Applied Linguistics
This paper introduces the concept of narrative trajectory as an analytical approach to exploring the development of identity and subjectivity.
Published open access
Link: https://doi.org/10.1016/j.rmal.2025.100189
https://www.sciencedirect.com/science/article/pii/S2772766125000102?via%3Dihub
👍5
An overview of Independent samples t-test
The independent samples t-test is a statistical method used to compare the means of two separate groups to see if there is a significant difference between them. Here I present a simple breakdown:
1. Purpose: It helps you determine if the difference in averages between two groups is likely due to chance or if it reflects a real difference in the populations they represent.
2. When to Use: You use this test when you have two different groups of subjects (e.g., males vs. females, experimental group vs. control group) and you want to compare their scores on a continuous variable (e.g., test scores, reaction times).
3. Assumptions:
- The data in each group should be normally distributed.
- The variances of the two groups should be approximately equal (homogeneity of variance).
- The observations should be independent of each other.
4. How It Works:
- The t-test calculates the difference between the two group means and divides it by the standard error of the difference.
- The result is a t-value, which you then compare to a critical value from the t-distribution table based on your desired level of significance (usually 0.05) and the degrees of freedom.
5. Interpretation:
- If the calculated t-value is greater than the critical value, you reject the null hypothesis, suggesting that there is a significant difference between the two groups.
- If it is less, you fail to reject the null hypothesis, indicating that any observed difference could be due to chance.
This test is widely used in applied linguistics research to compare the effectiveness of different teaching methods, language learning strategies, or any other interventions between two distinct groups.
The independent samples t-test is a statistical method used to compare the means of two separate groups to see if there is a significant difference between them. Here I present a simple breakdown:
1. Purpose: It helps you determine if the difference in averages between two groups is likely due to chance or if it reflects a real difference in the populations they represent.
2. When to Use: You use this test when you have two different groups of subjects (e.g., males vs. females, experimental group vs. control group) and you want to compare their scores on a continuous variable (e.g., test scores, reaction times).
3. Assumptions:
- The data in each group should be normally distributed.
- The variances of the two groups should be approximately equal (homogeneity of variance).
- The observations should be independent of each other.
4. How It Works:
- The t-test calculates the difference between the two group means and divides it by the standard error of the difference.
- The result is a t-value, which you then compare to a critical value from the t-distribution table based on your desired level of significance (usually 0.05) and the degrees of freedom.
5. Interpretation:
- If the calculated t-value is greater than the critical value, you reject the null hypothesis, suggesting that there is a significant difference between the two groups.
- If it is less, you fail to reject the null hypothesis, indicating that any observed difference could be due to chance.
This test is widely used in applied linguistics research to compare the effectiveness of different teaching methods, language learning strategies, or any other interventions between two distinct groups.
👍7
We are thrilled to announce that IJPIE's first issue in 2025 was published. Thanks to all dear contributed researchers who shared their research with us. This issue favors papers contributed by researchers from Iran, Turkey and Japan.
The contributions to the present issue focus on several themes that have been arousing considerable interest, including Flipped instruction, Linguistic Influentialism, Academic vocabulary learning, Autonomy in learning English, and papers in literature with themes around Cosmopolitan localism and Death and dying.
Website: www.ijpie.org
Authors List:
1. Dr. Alireza Bonyadi
2. Dr. Zahra Sadat Roozafzai
3. Dr. Leila Shoja, Hadis Karimi
4. Ran Jiao
5. Faezeh Shadlou, Dr. Seyyed Hossein Kashef
6. Sareh Khosravi
7. Dr. Hossein Sabouri, Canan Savkay, Amin Khanbazian
Link: 🔗 https://www.ijpie.org/issue_30127_30128.html
The contributions to the present issue focus on several themes that have been arousing considerable interest, including Flipped instruction, Linguistic Influentialism, Academic vocabulary learning, Autonomy in learning English, and papers in literature with themes around Cosmopolitan localism and Death and dying.
Website: www.ijpie.org
Authors List:
1. Dr. Alireza Bonyadi
2. Dr. Zahra Sadat Roozafzai
3. Dr. Leila Shoja, Hadis Karimi
4. Ran Jiao
5. Faezeh Shadlou, Dr. Seyyed Hossein Kashef
6. Sareh Khosravi
7. Dr. Hossein Sabouri, Canan Savkay, Amin Khanbazian
Link: 🔗 https://www.ijpie.org/issue_30127_30128.html
❤3🔥2👏1