Reza Norouzian
Biographic Data
| ID | 2455046 |
|---|---|
| NAME | Reza Norouzian |
| GIVEN NAMES | Reza |
| FAMILY NAME | Norouzian |
| SIGNATURE | NOROUZIAN R |
| AFFILIATIONS | Texas A&M University |
| ORCID | 0000-0002-0531-6886 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Increasing meta‐analytic quality
Meta‐analytic studies of second language (L2) learning typically employ a classic approach to meta‐analysis. Although the classic approach can clarify findings, a multivariate, multilevel meta‐analysis (3M) approach increases transparency by accounting for (a) dependencies in the evidence presented by primary studies, (b) methodological differences confounding the effectiveness of interventions, (c) differences in research designs, and (d) enhanc…
Meta-analysis of second language research with complex research designs – Addendum
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Meta-analysis of second language research with complex research designs
Meta-analyses play an instrumental role in informing second language (L2) theory and practice. However, current (i.e., classic) approaches to meta-analysis are limited in their ability to do so because they often fail to capture the complexity inherent in primary studies’ research designs. As we argue in this article, when complex L2 studies are represented by simplistic meta-analyses, the latter cannot reach its potential to contribute to the de…
Interrater Reliability in Second Language Meta-Analyses
There has recently been a surge of interest in improving the replicability of second language (L2) research. However, less attention is paid to replicability in the context of L2 meta-analyses. I argue that conducting interrater reliability (IRR) analyses is a key step toward improving the replicability of L2 meta-analyses. To that end, I first discuss the foundation of IRR in the context of meta-analytic research. Second, I introduce two IRR mea…
Sample Size Planning in Quantitative L2 Research
Researchers are traditionally advised to plan for their required sample size such that achieving a sufficient level of statistical power is ensured (Cohen, 1988). While this method helps distinguishing statistically significant effects from the nonsignificant ones, it does not help achieving the higher goal of accurately estimating the actual size of those effects in an intended study. Adopting an open-science approach, this article presents an a…
The Bayesian Revolution in Second Language Research
Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the conceptual underpinning of Bayesian and frequentist methods. Second, using real as well as carefully simula…
The Bayesian Revolution in Second Language Research
Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the conceptual underpinning of Bayesian and frequentist methods. Second, using real as well as carefully simula…
The Bayesian Revolution in Second Language Research
Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the conceptual underpinning of Bayesian and frequentist methods. Second, using real as well as carefully simula…
Sample Size Planning in Quantitative L2 Research
Researchers are traditionally advised to plan for their required sample size such that achieving a sufficient level of statistical power is ensured (Cohen, 1988). While this method helps distinguishing statistically significant effects from the nonsignificant ones, it does not help achieving the higher goal of accurately estimating the actual size of those effects in an intended study. Adopting an open-science approach, this article presents an a…
Interrater Reliability in Second Language Meta-Analyses
There has recently been a surge of interest in improving the replicability of second language (L2) research. However, less attention is paid to replicability in the context of L2 meta-analyses. I argue that conducting interrater reliability (IRR) analyses is a key step toward improving the replicability of L2 meta-analyses. To that end, I first discuss the foundation of IRR in the context of meta-analytic research. Second, I introduce two IRR mea…
Meta-analysis of second language research with complex research designs – Addendum
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Meta-analysis of second language research with complex research designs
Meta-analyses play an instrumental role in informing second language (L2) theory and practice. However, current (i.e., classic) approaches to meta-analysis are limited in their ability to do so because they often fail to capture the complexity inherent in primary studies’ research designs. As we argue in this article, when complex L2 studies are represented by simplistic meta-analyses, the latter cannot reach its potential to contribute to the de…
Increasing meta‐analytic quality
Meta‐analytic studies of second language (L2) learning typically employ a classic approach to meta‐analysis. Although the classic approach can clarify findings, a multivariate, multilevel meta‐analysis (3M) approach increases transparency by accounting for (a) dependencies in the evidence presented by primary studies, (b) methodological differences confounding the effectiveness of interventions, (c) differences in research designs, and (d) enhanc…
Computer Science (6 works) · Mathematics (4 works) · EFL/ESL Teaching and Learning (3 works) · Meta-analysis (3 works) · Psychology (3 works) · Statistics (3 works) · Data science (2 works) · Management science (2 works) · Medicine (2 works) · Psychometric Methodologies and Testing (2 works)