Kajian Validitas Instrumen Pengukuran Skala Pengalaman Kerawanan Pangan Di Indonesia

Abstract

The results of the FAO study since 2013 through the Voices of Hungry Project (VoH-FAO) have produced measures of the Food Insecurity Experience Scale (FIES). FIES is a global reference scale that becomes a reference for comparing the prevalence of food insecurity between countries and regions. The challenge of using the FIES instrument, each country must carry out linguistic adaptations that are appropriate to the culture and national language. This study aims to analyze the validity of FIES measurements in Indonesia, including internal and external analysis. The Rasch model (RM) used for internal validity analysis. Measurement of the validity and reliability of Indonesian FIES items was calibrated with a global reference scale. Differences in the scale of calibration items with a global reference scale of less than 0.35 indicate that they are standard items. FIES measurements require at least five common items. External analysis of FIES measurements uses the Pearson correlation between districtlevel aggregation on each FIES item that is answered "yes" and determinant characteristics of household food insecurity. The expected correlation coefficient indicated the direction of a positive correlation and observed the correlation coefficient of item 1501 to 1508, which is getting smaller. Internal analysis of FIES measurements in Indonesia shows the achievement of unidimensional and local independence assumptions. However, item 1501 has identified as an outlier. Then identify unique issues are 1501 and 1504, while unique items in rural subsamples are 1503 and 1508. Unique item differences founded in food expenditure 60 percent or more, i.e., 1502. This shows a discordance with items assumption of parameter invariance. The reliability of the FIES item is 0.78, and this reflects the suitability of the model quite well. External analysis of the FIES measurement identifies item 1501 and 1504 as invalid items (unique items).

Relationship between Household Food Insecurity and Toddler Health

“…Three of the FIES questions can be considered to refer to subjective perceptions. In contrast, the other five questions ask about objective experiences due to a lack of money or other resources (Herlina et al, 2020). The findings of this study prove that there is a subjective perception that food insecurity can not only be experienced by households who have a low economy but can also occur in upper-income households have high incomes, which is in line with (Dudek & Myszkowska-Ryciak, 2020).…”

Sociodemographic Factors and Policy Implications for Improved Food Security

“…The survey's conduct in Indonesian raises the prospect of respondents necessitating clarification on the inquiries, thereby mandating a review of the Indonesian translation to ensure its fidelity. Additionally, it merits emphasis that FIES measurements in Indonesia hold validity when employing the Rasch Model (Herlina et al, 2020).…”

“…Family size, age, gender, education level, occupation, income, and marital status influence households' resource allocation, including food. Ensuring equitable food availability across all social and demographic groups is paramount (Herlina et al, 2020). Economic factors shape household food demand in East Kalimantan through income, price fluctuations, and sociodemographic factors (Cahyono & Tokuda, 2023).…”

Kajian Pengukuran Skala Pengalaman Kerawanan Pangan Pada Rumah Tangga Pertanian: Hasil Uji Coba Survei Pertanian Terintegrasi

“…Hal yang sama juga terjadi untuk item pertanyaan Hungry (0,09 %) yang memiliki proporsi lebih rendah dibanding item pertanyaan Whlday (0,18 %). Hal ini mengindikasikan adanya ketidakkonsistenan responden dalam melaporkan pengalaman yang dialami oleh rumah tangganya kepada petugas pencacah saat wawancara (Herlina, H. et al, 2020). Maksud dari konsistensi di sini adalah jika suatu item pertanyaan direspon "ya, semua item pertanyaan yang menunjukkan tingkat keparahan yang lebih rendah (kurang parah) juga akan dijawab "ya" (Cafiero et al, 2016).…”

“…Hasil estimasi parameter keparahan dan pemeriksaan validitas statistik melalui nilai Rasch reliability, infit, outfit, dan korelasi residual secara umum memperlihatkan bahwa pengukuran FIES dapat diterapkan pada populasi rumah tangga pertanian melalui pelaksanaan SITASI. Temuan ini sejalan dengan Herlina, H. et al (2020) untuk pengukuran FIES pada rumah tangga umum (pertanian dan non pertanian) dengan menggunakan data SUSENAS.…”