A number of steps were undertaken in the development and validation processes of the two age-appropriate children’s cooking competence measures. Items were selected for inclusion for the content of the measures from a review of children’s cooking recommendations that were mapped to their age-appropriate developmental skills [39], and were reviewed by an expert panel. The measure was designed in line with a published perceived motor competence measure [30] and characters performing the cooking skills were illustrated by a graphic designer. Next initial face validity was established by the research team and a primary school teacher and the measures were piloted. The psychometric properties of the measures were assessed using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) and face validity of the final structures of the two measures were established. Following this, construct validity, convergent and discriminant, and internal consistency reliability were assessed. Temporal stability reliability of both measures was then examined. Finally, for the older measure, responsiveness to change was established. The details of this process can be found in the following sections.
2.1 Item selection
The cooking skills that children should be learning at different ages were obtained through a critical evaluation of publically available children’s recommendations and the addition of new recommendations based on children’s developmental skills [39]. From this review, for the two Cooking Competence measures, 14 cooking skills for 8 - 12 year olds (CooC11) and 10 skills for 6-7 year olds (CooC7) were identified as being frequently occurring and culturally neutral, i.e. a cooking skill was not specific to one culture. The items were selected to ensure they were both developmentally appropriate and relevant [31]. An expert panel including an educational researcher, a primary school teacher, an early year’s educator, a movement scientist and two Home Economists, with a minimum of 10 years’ experience in their respective fields, reviewed the selected skills for age appropriateness and level of difficulty. An age range was proposed for each skill and skills were then ranked in order of difficulty from easiest to hardest, see Table 1.
Table 1: Cooking skills identified for younger and older children
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)
a – measuring liquids and weighing were separated in the measure; b - tin opener was placed in the younger age before the expert panel review moved it into the 9+ age category; c – blender replaced mixer as mixer was more associated with baking as opposed to cooking; d – oven and microwave were separated in the measure; e – Using the stove/hob was added as a means of factoring in the use of a cooker/cooker top for those that may not have an oven/as a means of trying to include stirring over heat
2.2 Development and implementation of measure
The design of the children’s perceived cooking competence measure was based on a published perceived motor competence measure [30]. However, in the cooking skills measure the child was asked first whether they engaged in a particular cooking skill (in line with Lavelle et al. [40]), before they rated their level of competence. This aims to reduce positive illusory and social desirability biases [31]. In the measure, each skill was illustrated as a child-friendly character performing the skill. Using an iterative process, the child characters were drawn by a graphic designer in consultation with a chef and reviewed by the research team for accuracy and suitability. The illustrations provided a visual ‘cue’ to the cooking skill as some cooking terminology relating to skills may not be familiar to the children. In line with Barnett et al. [30], the child is shown an image of a child, boys are presented with images of boys performing the skills and girls are shown images of girls. This promotes a peer modelling effect, as it is argued that a child is more likely to relate to a character that is more like themselves [41, 42]. The child is asked whether they do the skill shown (see figure 1 as an example). If the child responds yes, then they are shown two more images of the child performing the skill, one performing it well and the other performing it poorly. The child is then asked which image represents their perceived level of competence on a five point Likert scale.
The five response options result in five possible levels of competence for each skill (see figure 2 as an example). However if the child responds that they do not perform that particular skill, they move on to the next skill.
The cooking skills are presented in ascending level of difficulty as rated by the expert panel. Additionally, the sequence of presentation of ‘good’ competence of a skill alternated in position on the page with ‘poor’ competence of a skill [29, 30]. Each child completes the measure individually. However, if a child’s literacy levels were not at a sufficient level that they could read the questions, then the researchers assisted the child by reading out the questions so that the child could complete the task.
2.3 Piloting and Initial Face Validity
The measures were reviewed by the research team and a primary school teacher for language, readability and literacy levels [31]. Based on the feedback minor amendments were made to the language, such as changing ‘in between A and B’ to ‘A bit like A and B,’ as it was suggested that children would interpret the original phrasing to mean physically in between the two characters. Additionally, the font size of the text was increased for the younger age group. Furthermore, the characters’ expressions were all changed to neutral, so that the children would not choose their responses based on how happy or sad they were feeling but on their perceived level of competence. Thus, the research team assessed the measures for initial face validity.
The designed measures were also piloted with a number of children of differing ages [43]. This piloting allowed the research team to assess the usability, length of time of completion, enjoyability as well as further face validity such as recognition of the skills and differentiation between the ‘good,’ and ‘poor’ performance of the skill.
Further validation assessments were undertaken for both the older age measure (CooC11) and the younger age measure (CooC7), which will be detailed in the following section. For both measures, endpoint user feedback from both the children and teachers were received. Five teachers and three teaching assistants, from the recruited samples of children, provided their perceptions around the measures including the suitability, usability and length. Each class in these samples were asked about their experiences using the measure, whether they liked this type of activity, about the characters and if there was anything they would change. Additionally, informal qualitative feedback was gathered across all samples. Prior to data analysis, where necessary, items were reversed coded so that a higher score indicated greater perceived cooking competence for all items. All analyses were conducted using IBM SPSS Statistics v25 and IBM SPSS Amos v25, with a significance level of 0.05.
2.4 CooC11 (8-12 year olds)
2.4.1 Participants and Procedure
Sample 1: Data from 469 primary school children aged 10 – 11 years completed baseline measurements as part of a larger study (Project Daire) [44]. For this sample, 50.32% were female. Schools from both rural and urban areas with varying socioeconomic levels were included. Data was collected in February-March 2019.
Sample 2: Children (N=38) between the ages of 8-9 years and 10-11 years (two year groups in the primary school system in Northern Ireland) were recruited. Children from one primary school were recruited for this study. For this sample, 52.6% were female. Children in this sample completed the measure at two time points two weeks apart in May 2019.
Sample 3: Children (N=32) between the ages of 10-12 years who participated in a one week cooking camp intervention in August 2019. In this sample, 78.1% were female. These children completed the measure before and after the cooking camp intervention.
2.4.2 Psychometric testing, Validation and Data Analysis
Exploratory Factor Analysis
Sample 1 was randomly split to conduct EFA and CFA, with 269 children included in the EFA. EFA (maximum likelihood) with direct oblimin rotation was used. This oblique rotation was used as it was believed that factors would be related [45]. Sample adequacy was assessed using Kaiser-Meyer-Olkin (KMO) value [46] and Bartlett’s Test of Sphercity [47]. Factors were assessed using Eigenvalues greater than 1 [48] and a minimum of 3 items per factor [49]. Items were removed based on communalities and factor loadings.
Confirmatory Factor Analysis and Face Validity
The remaining 200 randomly selected children from sample 1 were used for CFA. The final model identified by the EFA was assessed as a confirmatory factor analysis with maximum-likelihood estimation, using IBM SPSS Amos v25. The following fit statistics were used to assess the model [50]:
- Chi-square (χ2) – A non-significant chi-square value (p > 0.05) which is two or three times larger than its value divided by the degrees of freedom (df) at its maximum indicates that the model can be accepted.
- Root Mean Square Error of Approximation (RMSEA) – A preferred value is 0.05 or less.
- Comparative Fit Index (CFI), Normed-Fit Index (NFI), Tucker-Lewis Index (TLI) – For these indices a value of 0.90 or greater indicates that the model can be accepted.
To establish face validity of the measure structure, five researchers in the areas of food, nutrition, health psychology, Home Economics and human movement science, reviewed the final model and factor structure. Cooking skills in each factor were assessed upon general relation in cooking as well as underlying developmental skills including fine and gross motor skills in addition to numeracy, literacy and safety considerations. All items were assessed to ensure they measured what they claimed to measure.
Construct Validity – Convergent and Discriminant Validity
Sample 1 was used for Construct validity. Convergent validity shows that measures are valid by identifying a relationship with an existing similar measure using correlation analysis. As there are no similar children’s measures to establish convergent validity, the cooking method section of an adult measure was used [40]. This measure has not been used previously with children due to the levels of literacy required. However, as the current sample is at the older end of the age range for the measure, the research team decided to include the measure as a means of establishing some level of convergent validity. Additionally, due to the lack of measurements available, the children were asked whether they help their parents making the dinner. It was expected that those who assist with dinner preparation would have a reported higher cooking competence. Due to a large number of children answering ‘sometimes’ (N=298) and a small number answering ‘always’ (N=35), compared with those answering ‘never’, ‘sometimes’ and ‘always’ were combined to those who ‘help with dinner.’ And due to the large difference between the two response categories, a random selection of those who responded ‘help with dinner’ were selected to compare against never. This ensured that there was a relatively equal number of participants in each group for the one-way ANOVA.
Internal Consistency Reliability
Internal consistency reliability was used to examine agreement between the items in a scale. Cronbach’s Alpha was used to assess internal consistency reliability. A value of 0.7 or higher shows good reliability [51]. Sample 1 and 2 were used to establish internal consistency of the measure.
Temporal Stability
Sample 2 was used to assess Temporal Stability of the measure. The temporal stability of the scales was examined using the Intraclass Correlation Coefficient (ICC). This illustrates the level of agreement between item answers over time. A stronger ICC indicates greater agreement, suggesting greater temporal stability. Moderate reliability is seen with an ICC value of 0.50–0.75, good reliability is a value of 0.75–0.90, while a value of greater than 0.90 suggests excellent reliability [52].
Responsiveness to Change
Sample 3 was used to assess the responsiveness to change of the measure, a further indication of validation [53]. This was established through investigating changes in the measure scores before and after the children receive a cooking focused intervention using T-tests.
2.5 CooC7 (6-7 year olds)
2.5.1 Participants and Procedure
Sample 4: Data from 514 primary school children aged 6 - 7 completed baseline measurements as part of a larger study (Project Daire) [44], are used as Sample 4. For this sample, 48.63% were female. Schools with varying socioeconomic levels and from both rural and urban areas were included. Data was collected in February-March 2019.
Sample 5: Children (N=13) between the ages of 6 – 7 years old were recruited as part of Sample 5 from the same school as sample 2. In this sample, 46.2% were female. Children in this sample completed the measure at two time points two weeks apart in May 2019.
2.5.2 Psychometric testing, Validation and Data Analysis
The same criteria as in 2.4.2 were used for testing the CooC7 measure. The samples used, and differences in analysis to CooC11 are detailed below.
Exploratory Factor Analysis
Sample 4 was randomly split to conduct Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), with 314 children included in the EFA.
Confirmatory Factor Analysis and Face Validity
The remaining 200 randomly selected children from Sample 4 were used for CFA. The same procedure was used for the CFA and face validity as in section 2.4.2.
Construct Validity – Discriminant Validity
Sample 4 was used for construct validity. There are no similar children’s measures to establish convergent validity and the cooking method section of the adult measure [40] is above the literacy and cognitive capacity of this age group. Due to the lack of measurements available, the children were asked whether they help their parents making the dinner, with the expectation again that a higher cooking competence score would be seen in those that help with dinner preparation. The responses for the children were ‘never’, ‘sometimes’ or ‘always’. Comparisons between children in the 3 categories were conducted using an ANOVA with Scheffe post hoc analysis due to differences in numbers in the groups.
Internal Consistency Reliability and Temporal Stability
Sample 4 and 5 were used to establish internal consistency of the measure. Sample 5 was used to assess Temporal Stability of the CooC7.
2.6 Ethical Considerations
All schools partaking in the research (Samples 1, 2, 4 and 5) signed and returned a memorandum of understanding. An opt-out parental consent system was implemented. In sample 3, due to the nature of the intervention and the demand for places, an opt-in system was used. In all samples, parents were made aware that they were not obliged to allow their child to take part in the study and that they could withdraw their child at any time point up to data analysis without reason or consequence. Additionally, the children were made aware that they did not have to take part. The research was conducted in accordance with the Declaration of Helsinki. Ethical approval was received from The School of Social Sciences, Education and Social Work Ethics Committee, Queen’s University Belfast (Reference number 038_1819) for Samples 1 and 4 and from The School of Biological Sciences Ethics Committee, Queen’s University Belfast (0519/LavelleFA, 0519/LavelleFB), for Samples 2, 3 and 5.