Professional Identity and Leadership Styles as Predictors of Job Performance of Teachers: An Explanatory Sequential Design
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

Professional Identity and Leadership Styles as Predictors of Job Performance of Teachers: An Explanatory Sequential Design

I. Ruego, Emee
TOFEDU: The Future of Education Journal 2024 Vol. 3 pp. (5):1749-1765
57
i. ruego2024professional

Abstract

This study aimed to determine the influence of professional identity and leadership styles on the job performance of master teachers in Region XI. A mixed-methods approach, specifically a sequential explanatory design was utilized to understand the professional identity, leadership styles, and job performance of master teachers using the quantitative and qualitative data. The researcher made use of stratified sampling using 200 respondents for the quantitative design and 17 participants for the interview. The status of professional identity, leadership styles, and job performance was high among master teachers. In an individual capacity, professional identity and leadership styles significantly influence job performance of master teachers. The combined influence of professional identity and leadership styles as predictors of job performance was a good fit for the data in this study. The standpoint of the participants revealed their agreement to the relationship between professional identity, leadership styles, and job performance of master teachers. The joint display revealed the connecting-confirmation nature of data integration.

Keywords

identity performance professional design predictors leadership sequential styles teachers: explanatory

Access

DOI:
10.61445/tofedu.v3i5.314
URL:
https://doi.org/10.61445/tofedu.v3i5.314

Citation

ID: 281959
Ref Key: i. ruego2024professional
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
281959
Unique Identifier:
10.61445/tofedu.v3i5.314
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet
Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store