3003PSY Assignment 2021
Investigating the associations between personality, gender, and body mass with repetitive eating
You may have noticed that when you are spending a lot of time at home, or studying, that you may be eating more than you usually do, even when you aren’t hungry. You may have even have heard the phrase “COVID Kilos” - a term that refers to the weight gain some people experienced after working and studying at home more over the past year . Some researchers have termed this constant unplanned repetitive eating of small amounts of food and/or eating in the absence of actual hunger as “repetitive eating” or “grazing” (Conceição et al., 2014). This type of eating is commonly found in those undertaking bariatric surgery and those with binge-type eating disorders, but also frequently occurs in non-clinical populations. Indeed, there appears to be a higher proportion in non-clinical samples than in eating-disorder samples (Conason, 2014). While it appears that grazing is a somewhat a normative behaviour, grazing has been linked to weight increase, and lower quality of life (Heriseanu et al. 2019).
Psychological researchers note though, that some people graze far more than others. Recent research has found grazing to be more common in women, in those with a higher body mass, and there have been some findings that suggest that certain personality traits like being more impulsive and being more sensitive to the rewarding properties of food may be linked to greater grazing behaviour (Bonder et al., 2018; Wilson et al., 2021). Impulsiveness is typically defined as acting rashly and without considering future consequences. Reward responsiveness can be conceptualized as having two separate facets: i) Reward Interest, which is defined as the tendency to notice and seek out rewarding situations or activities and ii) Reward Reactivity, which is defined as the tendency to respond positively to obtained rewards. While these factors (gender, body mass, impulsiveness, reward interest, and reward reactivity) have been associated with eating behaviour, previous studies have only looked the association with grazing independently of each other (e.g., have only looked at the association between being overweight, or impulsive, etc) but not in a single study. This is important as often impulsiveness and reward responsiveness are also correlated with each other (e.g., Dawe et al., 2004). By examining these personality traits, together with gender and body mass, in their association with grazing in a single study we can test the unique associations between each factor and the outcome variable, in addition to the overall association between the predictor variables and grazing.
The current study
To that end a researcher ran a study collecting data from a sample of adults in the community by asking them to complete an online survey. The survey consisted of asking participants their height and weight, their identified gender, and three survey questionnaires measuring 1) grazing (repetitive eating), 2) impulsiveness, and 3) the two facets of reward responsiveness: reward interest, and reward reactivity. Grazing behaviour was measured using the Repetitive Eating Questionnaire (Conceição, et al., 2014). Impulsiveness was measured using the Barratt Impulsiveness Scale - Brief; Sternberg, Sharp, Stanford, & Tharp, 2013) while reward interest and reward reactivity were measured using items from the Short Version of the Reinforcement Sensitivity Theory Personality Questionnaire (Vecchione & Corr, 2020).
In this assignment you will be tasked with testing the following research question:
What are the associations between gender, body mass index (BMI), impulsiveness, reward interest, and reward reactivity on self-reported grazing?
To do this you will work with a dataset to test this research question using procedures and analyses as taught in this course in order to answer a series of questions that that you would work through when running a research study.
The Assignment Dataset
The assignment dataset contains the data as entered from the survey administered by the study’s participants.
You will need to use the skills taught in the tutorial program to:
This assignment is a modified version of a subset of real survey data. The assignment data file is in SPSS format and is called 3003PSY Assignment Data 2021.sav. It is available on Learning@GU in the Assessment folder. The variables are explained below. The dataset concerns adult participants who took part in a study examining predictors of grazing behaviour.
The variables in the datafile are: (SPSS variable names shown in bold): Gender “What gender do you identify with ?” 1 = Female; 2 = Male; 3 = Other Height “Please enter your height (in cm)
Weight “Please enter your weight (in kgs)
req# Items from the Repetitive Eating Questionnaire (# = question number)
BARRATT# Items from the Brief Barratt Impulsiveness Scale (# = question number)
RSTPQ# Items from the Reinforcement Sensitivity Theory Personality Questionnaire Short Version (# = question number)
Use the information provided to compute the relevant scales and demographics
Note that some questionnaires have multiple scales. Make sure to use the correct scale.
Things you will need to calculate prior testing your assumptions and running your analyses:
Note this formula requires a conversion from height in cms to height in metres. Also ensure to square height first, then divide
For this assignment, you are expected to select and run the appropriate analyses and procedures, and to report the outcomes of these analyses as required by each question. Some questions require you to present formal write-ups that are similar to parts of methods and results sections. Be sure to read the questions carefully. Your analyses should all be selected from those covered in 3003PSY in 2021.
There will be one set of data for the whole class. However, you must write up and submit independent assignments. The normal University procedures for plagiarism, including the use of checking software, apply to the present assessment item.
What are the associations between gender, body mass index (BMI), impulsiveness, reward interest, and reward reactivity on self-reported grazing?ASSIGNMENT QUESTIONS AND ASSOCIATED MARKS
Answer the following questions:
In your assignment use the question (in bold) and question number as subheadings when answering each question (these subheadings are not part of the word count).
|1.What are the constructs of interest in the RQ?||1.5 Marks|
|2.How are each construct operationalised?||1.5 Marks|
|Based on the information provided on page 1 state the hypothesised associations ?||2 Marks|
|What are the internal reliabilities (Cronbach alphas) of the scale scores?||4 Marks|
|Do the scales have acceptable reliability?||2 Marks|
|Write a brief statement describing each of the measures used||6 Marks|
|Report each variable in your dataset and how they are measured by stating:|
|Report the following information in the appropriate table:||5 Marks|
|Perform the appropriate checks of the relevant assumptions and address the following:|
|Report on the distribution of the residuals||3 Marks|
|Are there any obvious data entry errors?||1 mark|
|Are there any univariate outliers (only look for these on continuous level data - ignore frequency data)?||4 marks|
|Are there any multivariate outliers ?||2 Marks|
|Are any of the scales considered significantly skewed?||5 Marks|
|Perform the appropriate transformations on relevant variables||8 Marks|
|Write a paragraph outlining your testing of assumptions and how you addressed any violations||7 Marks|
|10.Perform the appropriate analysis to answer the RQ and answer the following:|
|How many participants were in the final analysis?||4 Marks|
|Did you use the transformed or non-transformed data in the final analysis?||3 Marks|
|Report the results from your analysis||7 Marks|
|12. How much of the variance in the outcome variable was explained by the predictor variables?||4 Marks|
|Make a conclusion of your results||7 Marks|
|14. Adherence to APA formatting (where relevant, e.g., Tables, reporting of measures, results)||2 Marks|
|15. Output from final analysis attached as Appendix||1 Mark|
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