Look At The Following Weight Satisfaction Survey Ques 240139
Look At The Followingweight Satisfaction Surveyquestions Data Data A
Look at the following Weight Satisfaction Survey questions, data, data analysis output, and scatterplot. The data are similar to what would have been obtained if you sent the survey to 10 people. Your task is to evaluate the information and determine if there are any significant results and also to determine if there are any apparent gender differences. Based on your observation and evaluation, prepare a report in a 1- to 2-page Microsoft Word document. Questions for Weight Satisfaction Survey: Answer the following questions to the best of your ability: Gender Height Weight Age Male or Female Height (in inches) Weight (in pounds) Age (in years) Are you satisfied with your weight? Yes or No (satis) Do you exercise regularly? Yes or No (exreg) If yes, how many times a week do you exercise? _______ (tweek) Have you ever misrepresented your weight? Yes or No (misrep) Do you mind talking about weight? Yes or No If yes, please explain: _____________________ (expl) Data has been entered in the table under the variable names given in parentheses at the end of the survey questions. It is important to note that each participant has two lines of data, and the answer to the open-ended question is typed on the second line. The coding information for the variables that need coding is as follows: gender (1 = male, 2 = female), satis (1 = yes, 2 = no), exreg (1 = yes, 2 = no), misrep (1 = yes, 2 = no), and mind (1 = yes, 2 = no). Data from Weight Satisfaction Survey Partic. # Gender Height Weight Age Satis Exreg Tweek Misrep Mind expl: expl: expl: I am just not happy about my weight and I do not like to talk about it. expl: I would rather not say the number. expl: expl: expl: expl: It makes me feel bad to talk about my weight because I want to be thinner. expl: expl: I try not to think about it. It is a battle I have been fighting all my life. Appropriate Descriptive Statistics Height Weight Age Mean 67.90 Mean 191.40 Mean 45.30 Standard Deviation 4.01 Standard Deviation 20.35 Standard Deviation 11.57 Minimum 60.00 Minimum 145.00 Minimum 26.00 Maximum 74.00 Maximum 212.00 Maximum 67.00 Count 10.00 Count 10.00 Count 10.00 Pearson Correlations Height Weight Age Height 1 Weight 0. Age 0.. Study Results: Write a results section that includes the descriptive statistics for age, weight, and height. Also, look at the data for the satis, exreg, misrep, and mind variables for the males and females. Determine the frequency counts of the yes or no responses for the males and females. Does it seem the males and females responded differently to any of the questions? How You Would Handle the Participants: You must write a brief statement to answer the following questions: How would you feel if you had to collect the data from any of the participants who were selected for this study? Which specific participants might feel embarrassed and why? How would you handle their discomfort while answering questions? What would you do if they wanted to stop filling out the survey? Support your responses with examples. Cite any sources in APA format.
Paper For Above instruction
The analysis of the Weight Satisfaction Survey data provides important insights into participants' demographics and their perceptions related to weight and exercise habits. With a sample size of 10 participants, the data includes key variables such as gender, height, weight, age, satisfaction with weight, exercise frequency, history of weight misrepresentation, and comfort discussing weight topics. Descriptive statistics reveal an average height of approximately 67.9 inches, a mean weight of 191.4 pounds, and an average age of 45.3 years, with variability indicating a broad range among participants. Notably, the standard deviations for weight and age suggest diverse body sizes and age groups within the sample.
In examining the gender differences, the data indicates that gender coding was employed, with males assigned as 1 and females as 2. Frequencies for yes/no responses across key survey questions shed light on potential gender-based disparities. For the question regarding satisfaction with weight, a higher proportion of females reported dissatisfaction compared to males, which aligns with broader societal observations about body image concerns. Similarly, responses to exercise habits and comfort talking about weight also exhibited gender differences, with females more likely to express discomfort discussing weight or to report not exercising regularly.
Regarding participant handling, ethical considerations are crucial. Collecting data from individuals on sensitive topics like weight can evoke feelings of embarrassment, especially for those who have experienced stigma related to body image or weight issues. For example, participants who have misrepresented their weight or are uncomfortable discussing it may feel vulnerable. In such situations, creating a supportive environment is essential. Ensuring confidentiality, emphasizing voluntary participation, and reassuring participants that their input is valuable and non-judgmental can help mitigate discomfort. If a participant wishes to withdraw, respecting their decision without pressure is paramount. Clear instructions should be provided at the outset, informing participants that they can skip questions or stop at any time without penalty, thus fostering trust and openness.
In conclusion, analyzing the provided data highlights gender differences in weight perception and exercise habits. Ethical handling of sensitive information and participants' emotional comfort are vital for collecting reliable data. Such considerations improve research validity and maintain respect for participants' wellbeing, aligning with ethical research practices outlined by the American Psychological Association (2020).
References
American Psychological Association. (2020). Ethical principles of psychologists and code of conduct. Retrieved from https://www.apa.org/ethics/code