SPSS expert
Budget: £20 – £250 GBP
I would like some support in regards to the statistical analysis of my assignment. I need to use SPSS to demonstrate an understanding of the selection, interpretation and presentation of results from statistical analysis using representative national data.
The primary aim of this project is to identify the trends over the last 10 years in portion sizes of commonly consumed foods among the UK adult population using nationally representative data. The objectives are to 1) Examine the differences in portion sizes consumed according to weight status, sex, and age, 2) Identify foods that may be typically over or under-consumed in the UK, 3) Identify changes in the frequency of consumption of key food groups and compare them to the current UK dietary guidelines and portion sizes.
Proposed statistical analysis from proposal: Statistical analysis of the data will be performed using the Statistical Packages for Social Sciences (SPSS) tool version 27. The data will be primarily checked for normality using the Kolmogorov-Smirnov test. The means and standard deviations will be analysed for all variables unless data are abnormally distributed, in which case medians and confidence intervals will be used. To categorise the data, contingency tables will be used. Descriptive statistics will be performed to examine the percentage consumption of each food group over the 10 years. Independent t-tests will be used to assess the differences in food portion size and the frequency of consumption and energy contribution of each food group over the 10 years accounting for sex, age, and weight status. The statistical significance will be set at the 5% level (p<0.05).
Furthermore, a multiple regression test will be used to analyse the consumption of food portion sizes and to adjust for possible confounding variables such as sex and age. ANCOVA analysis will be conducted to test for associations between food intake, food groups, and weight status. The data collected from food intake will be adjusted for underreporting of food intake as this compromises the validity of the dietary assessment. To make the data representative, as there are varying sample sizes in each year of the survey, weight cases will be applied.
Demographic/general characteristics between years 1-4 & Years 9-11, age groups, sex, general characteristics (weight, BMI, waist circumference, waist/hip ratio) and macronutrient analysis (carbs, fat, protein, sugars, AOAC fibre, etc).
The primary aim of this project is to identify the trends over the last 10 years in portion sizes of commonly consumed foods among the UK adult population using nationally representative data. The objectives are to 1) Examine the differences in portion sizes consumed according to weight status, sex, and age, 2) Identify foods that may be typically over or under-consumed in the UK, 3) Identify changes in the frequency of consumption of key food groups and compare them to the current UK dietary guidelines and portion sizes.
Proposed statistical analysis from proposal: Statistical analysis of the data will be performed using the Statistical Packages for Social Sciences (SPSS) tool version 27. The data will be primarily checked for normality using the Kolmogorov-Smirnov test. The means and standard deviations will be analysed for all variables unless data are abnormally distributed, in which case medians and confidence intervals will be used. To categorise the data, contingency tables will be used. Descriptive statistics will be performed to examine the percentage consumption of each food group over the 10 years. Independent t-tests will be used to assess the differences in food portion size and the frequency of consumption and energy contribution of each food group over the 10 years accounting for sex, age, and weight status. The statistical significance will be set at the 5% level (p<0.05).
Furthermore, a multiple regression test will be used to analyse the consumption of food portion sizes and to adjust for possible confounding variables such as sex and age. ANCOVA analysis will be conducted to test for associations between food intake, food groups, and weight status. The data collected from food intake will be adjusted for underreporting of food intake as this compromises the validity of the dietary assessment. To make the data representative, as there are varying sample sizes in each year of the survey, weight cases will be applied.
Demographic/general characteristics between years 1-4 & Years 9-11, age groups, sex, general characteristics (weight, BMI, waist circumference, waist/hip ratio) and macronutrient analysis (carbs, fat, protein, sugars, AOAC fibre, etc).