Validating the foreign language enjoyment scale for young learners: An exploratory structural equation modeling approach DOI
Yasuko Nakanishi, Osamu Takeuchi

Research Methods in Applied Linguistics, Journal Year: 2024, Volume and Issue: 3(3), P. 100167 - 100167

Published: Nov. 9, 2024

Language: Английский

Revisiting the validity of the vocabulary learning strategies questionnaire using the confirmatory composite analysis (CCA): Setting new directions for the field DOI Creative Commons
Abdullah Alamer, Suhad Sonbul, Dina Abdel Salam El‐Dakhs

et al.

International Journal of Applied Linguistics, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 21, 2024

Abstract Vocabulary learning strategies (VLSs) are one of the key variables that allow researchers to understand learners’ success in second language (L2) learning. Different questionnaires available examine L2 learners' use VLSs, but most them suffered from problems while gathering sufficient statistical evidence. The present study sought replicate construct validity VLS questionnaire a different perspective. Particularly, we conceive nine constructs VLSs as emergent (composite) rather than latent (common factor). In contrast variables, formed by their items. To test this proposition, make confirmatory composite analysis (CCA), which is akin factor (CFA), was developed for assessing variables. evaluate CCA model 216 Saudi university students English completed an online questionnaire. results indicated better fitted our data CFA appeared provide less acceptable fit. Moreover, examined criterion‐related through and showed two constructs, inferencing self‐initiation positively related self‐perception proficiency. Overall, findings seem suggest seen made with items defining constructs. hold methodological empirical implications research.

Language: Английский

Citations

3

Validating the multi-dimensional structure of self-efficacy beliefs in peer feedback for L2 writing: A bifactor-exploratory structural equation modeling approach DOI Open Access
Mark Feng Teng

Published: July 29, 2024

The present study aims to validate a new scale, i.e., self-efficacy beliefs in peer feedback (SEBPF),using an advanced method of bifactor ESEM. Informed by sociocognitive theory and self-regulated learning, the SEBPF was designed measure five distinct factors: self-incentives forpeer feedback, perceived use confidence managing stress inpeer setting proximal goals for feedback. items scale weredeveloped extracting relevant themes from published studies conducting interviews with asample English as Foreign Language (EFL) student writers China. This paper provides acomprehensive account developing validating process scale. Comparisonsof confirmatory factor analysis exploratory support criterion-related validityof coherent 5-factor structure comprising 22 items, indicating reliability multifacetednature findings demonstrate robustness practicalapplicability assessing EFL writers’ associated peerfeedback, well its predictive effects on different sub-scores writing performance. Thispaper is empirical application through Implicationswere proposed based findings.

Language: Английский

Citations

2

Systematic identification of factors influencing the spatial distribution of soil organic matter in croplands within the black soil region of Northeastern China across multiple scales DOI
Yongbo Li,

Shufeng Zheng,

Liping Wang

et al.

CATENA, Journal Year: 2024, Volume and Issue: 249, P. 108633 - 108633

Published: Dec. 5, 2024

Language: Английский

Citations

2

Psychometric evaluation of DASS versions among Spanish and Chinese teachers using exploratory structural equation modeling (ESEM) DOI Creative Commons
Xiaolin Zhou, Zhouhanyu Shen,

Cui-Hong Cao

et al.

Acta Psychologica, Journal Year: 2024, Volume and Issue: 251, P. 104626 - 104626

Published: Nov. 1, 2024

Teachers in demanding work environments are prone to anxiety, depression, and stress. Validated measures across different cultural contexts required. The present study evaluated the psychometric properties of 21-item Depression, Anxiety Stress Scale (DASS-21) DASS-12 DASS-8 among Spanish Chinese primary school teachers.

Language: Английский

Citations

1

Autonomous single language interest predicts vocabulary achievement: the latent growth curve model approach DOI Creative Commons
Abdullah Alamer, Shrouq Almaghlouth

IRAL - International Review of Applied Linguistics in Language Teaching, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Abstract Recently, a new construct referred to as autonomous single language interest (ASLI) has been introduced in the educational psychology field. ASLI postulates that second (L2) students who have one autonomously oriented goal for studying L2 during their learning setting (e.g., university study) are likely make greater achievements than those with low ASLI. However, it remains unclear how predicts later vocabulary achievement and whether its stability or fluctuation achievement. A total of 161 Saudi undergraduate English an enrolled Department were followed up three times over 17 weeks. We used latent growth curve model (LGCM) assess ASLI, see which knowledge. The results LGCM suggest initial high levels (i.e. stability), but not fluctuation, predicted significant increase In other words, started course maintained this sole interest/goal time appeared higher time. Methodological pedagogical implications discussed.

Language: Английский

Citations

1

Do the Smartphone Addiction Scale-Short Version (SAS-SV) and the Internet Addiction Test (IAT) assess two distinct internet-related disorders? A comparative analysis using CFA, Set-ESEM, and Full-ESEM models DOI
Giusy Danila Valenti, Palmira Faraci

Behaviour and Information Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 11

Published: Aug. 9, 2024

This study investigated whether the Internet Addiction Test (IAT) and Smartphone Scale-Short Version (SAS-SV) capture separate Internet-related disorders, comparing CFA, Set-ESEM, Full-ESEM models on a sample of 839 participants (59.1% females; Mage = 30.31, SD 10.05). The ESEM solution was selected based fit-indices [χ2 506.810; df 248, p < .001; CFI .976; TLI .963; RMSEA .035 (.031–.040); SRMR .019; AIC 70,390.955; BIC 71,269.364; aBIC 70,678.693], inter-factor correlations (.232 r .595), parameter estimates (significant primary target loadings reduced cross-loadings), theoretical interpretability. highlights conceptual overlap between smartphone addiction emphasises importance when two or more sets constructs are included in single model.

Language: Английский

Citations

0

A longitudinal network analysis of interaction factors among Chinese women at high risk for perinatal depression DOI
Jun Huang, Yiyang Lin,

Yanqing Fu

et al.

Midwifery, Journal Year: 2024, Volume and Issue: 139, P. 104187 - 104187

Published: Sept. 18, 2024

Language: Английский

Citations

0

Validating the foreign language enjoyment scale for young learners: An exploratory structural equation modeling approach DOI
Yasuko Nakanishi, Osamu Takeuchi

Research Methods in Applied Linguistics, Journal Year: 2024, Volume and Issue: 3(3), P. 100167 - 100167

Published: Nov. 9, 2024

Language: Английский

Citations

0