TY - JOUR
T1 - Effect Size Reporting Practices in Applied Linguistics Research
T2 - A Study of One Major Journal
AU - Wei, Rining
AU - Hu, Yuhang
AU - Xiong, Jianhui
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Many surveys of effect size (ES) reporting practices have been conducted in social science fields such as psychology and education, but few such studies are available in applied linguistics. To bridge this gap and to echo the recent calls for more robust statistics from scholars in applied linguistics and beyond, this study represents the first attempt, in the field of applied linguistics, to focus upon ES reporting practices. With an innovative “two-standards” approach for coding, which overcomes the limitations with similar studies in other social science fields (e.g., communication), this study assesses the ES reporting practices over a span of 6 years in a major journal. Findings include the following: (a) the ES reporting rate is about 50% and (b) some improvement of ES reporting over time is in evidence. Future research directions (e.g., examining whether and how ES is interpreted after being reported) are suggested.
AB - Many surveys of effect size (ES) reporting practices have been conducted in social science fields such as psychology and education, but few such studies are available in applied linguistics. To bridge this gap and to echo the recent calls for more robust statistics from scholars in applied linguistics and beyond, this study represents the first attempt, in the field of applied linguistics, to focus upon ES reporting practices. With an innovative “two-standards” approach for coding, which overcomes the limitations with similar studies in other social science fields (e.g., communication), this study assesses the ES reporting practices over a span of 6 years in a major journal. Findings include the following: (a) the ES reporting rate is about 50% and (b) some improvement of ES reporting over time is in evidence. Future research directions (e.g., examining whether and how ES is interpreted after being reported) are suggested.
KW - effect size
KW - effect size interpretation
KW - effect size reporting
KW - null hypothesis significance testing
KW - p value
KW - quantitative method
UR - http://www.scopus.com/inward/record.url?scp=85067643833&partnerID=8YFLogxK
U2 - 10.1177/2158244019850035
DO - 10.1177/2158244019850035
M3 - Article
AN - SCOPUS:85067643833
SN - 2158-2440
VL - 9
JO - SAGE Open
JF - SAGE Open
IS - 2
ER -