Related Experiment Video
Updated: May 4, 2026

04:56
Assessment of Social Transmission of Food Preferences Behaviors
Published on: January 25, 2018
7.8K
Exploring Australian parent preferences for a school-provided meal offering using a discrete choice experiment
Alexandra C Manson1, Rebecca K Golley1, Vicki Brown2
1Flinders University, College of Nursing and Health Sciences, Caring Futures Institute, Bedford Park, GPO Box 2100, Adelaide, SA 5001, Australia.
Appetite
|October 5, 2025
Summary
Australian parents strongly support school-provided meals, prioritizing nutrition, quality, and menu variety. Their preferences are key to designing effective and equitable school lunch programs.
Area of Science:
- Public Health Nutrition
- Consumer Behavior
- Educational Policy
Background:
- Growing interest in school-provided meal programs in Australia.
- Need to understand parent/caregiver preferences as key stakeholders.
Purpose of the Study:
- Investigate Australian parent interest and preferences for school-provided meals.
- Identify key attributes influencing choices in school lunch offerings.
Main Methods:
- Online survey with a discrete choice experiment (DCE) administered to Australian parents.
- DCE involved 12 choice tasks evaluating hypothetical lunch options based on cost, nutrition, sustainability, access, menu, and school approach.
- Data analyzed using multinomial logit models and Krinsky and Robb method for willingness to pay.
Main Results:
- High parent interest (93%) in school-provided meals.
- Nutrition and quality were the most significant factors influencing choice (β=0.71), followed by menu options (β=0.47), environmental sustainability (β=0.35), and whole-school approach (β=0.28).
- Parents preferred lower-cost options and demonstrated willingness to pay for desirable attributes.
Conclusions:
- Australian parents support well-designed school-provided lunches aligned with their preferences.
- Parental preferences for nutrition, quality, menu variety, sustainability, and cost are crucial for system design.
- Incorporating parental input is essential for creating acceptable and financially equitable school meal systems.
Related Concept Videos
Naturalistic Observations
15.2K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.2K
Surveys
14.3K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.3K
Cross-Sectional Research
11.5K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.5K
Group Design
9.3K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.3K
Factorial Design
13.1K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.1K

