Background Traditional methods of dietary assessment have their limitations and
commercial sources of food sales and purchase data are increasingly suggested as an …

In unsupervised learning to understand the underlying structure of data, hierarchical
clustering is widely used technique. The success of hierarchical clustering algorithm …

Abstract▪ Cluster analysis refers to a class of data reduction methods used for sorting cases,
observations, or variables of a given dataset into homogeneous groups that differ from each …

Sustainability labels are important tools that help consumers assess the sustainability
aspects of food. While past studies have focused on visual attention to nutrition information …

In this article, I explore the nature of secondary analysis and provide a brief history of the
method. Qualitative secondary analysis is a relatively under-used method in education and …

Background: Assessing nutrition knowledge provides useful information especially if
coupled with the self-perception of nutrition knowledge that could lead to bias and personal …

Edible insects are gaining attention as a novel food; however, studies with their use in food
are still limited. This study aimed to determine the chemical composition, physical …

Given the inseparable environmental and health impact of dietary habits, integrating health
and sustainability goals has become a highly topical issue in policy development and …

To limit the spread of coronavirus SARS-CoV-2, a nationwide lockdown started in Italy in
March 2020. In this unpredictable situation, a cross-sectional study using an online …

AN INTRODUCTION Page 1 SOCIAL RESEARCH AN INTRODUCTION SECOND EDITION
MATTHEw DAvID and CAROLE D SUTTON Page 2 SOCIAL RESEARCH Page 3 Page 4 …