2025.03.07

Family office press clipping

This presentation by Jorge Sinval delves into the critical processes and guidelines for adapting psychometric instruments within organizational and work psychology contexts. It highlights the importance of adhering to international standards to ensure the validity evidence, and equivalence of adapted tests across diverse populations. Drawing from the International Test Commission (ITC) guidelines and other prominent frameworks, the slides outline best practices for pre-conditions, test development, confirmation, administration, scoring, and documentation during test adaptation. By addressing challenges such as cultural and linguistic differences and providing actionable criteria for evaluation, the presentation aims to promote ethical, transparent, and effective adaptation methodologies that meet the unique needs of specific populations and contexts.

This presentation, authored by Jorge Sinval, explores the nuanced process of psychometric instrument development within organizational and work psychology. It addresses the critical decision between adapting existing tools and creating new ones, emphasizing the importance of non-redundancy, validity, and comprehensive reporting. Drawing on established frameworks and guidelines from leading researchers, the slides provide actionable insights for choosing, evaluating, and constructing psychometric instruments tailored to specific contexts. The presentation also highlights questionable practices, strategies for instrument selection, and detailed steps for developing robust and reliable scales, ensuring their alignment with theoretical constructs and practical applications.

Dokumen ini membahas Estimasi Distribusi dan Parameter Model dengan menerapkan Teorema Limit Pusat (CLT) melalui simulasi dalam R. Simulasi dilakukan dengan mengambil sampel dari berbagai distribusi (geometrik, eksponensial, seragam, dan normal) menggunakan ukuran sampel yang berbeda. Tujuannya adalah untuk melihat bagaimana rata-rata sampel mendekati distribusi normal seiring bertambahnya ukuran sampel. Hasil simulasi divisualisasikan menggunakan histogram, yang menunjukkan bahwa semakin besar ukuran sampel, semakin dekat distribusi rata-rata sampelnya dengan distribusi normal, serta bagaimana estimasi parameter berubah sesuai dengan jumlah sampel yang digunakan.

calculations in R, Creating vectors