Part A: Introduction
Research on body image has shifted attention from the construct of body dissatisfaction, shame and preoccupation, to the study of positive body-related cognitions and emotions. In particular, recent research has focused on the construct of bodyappreciation, defined as “accepting, holding favourable opinions toward, and respecting the body” (Tylka & Wood-Barcalow, 2015; p. 53). It has been shown that body appreciation is predictive of eating disorder symptomatology, self-esteem and proactive coping, even after controlling for body dissatisfaction (Tylka & Wood-Barcalow, 2015). Thus, it seems important to investigate potential correlates of body appreciation. In particular, a researcher is interested in investigating the predictive value of positive weight-related behaviours, such as intuitive eating and motivation to exercise for health-related reasons. She hypothesizes that both intuitive eating and the motivation to exercise for health related reasons will positively predict body appreciation. However, she is interested in exploring the predictive value of these two variables after controlling for body mass index (BMI) and gender. She expects that BMI will be negatively related to body appreciation but has made no prediction for gender. Thus, this researcher is interested the following:
1) What is amount of variance in body appreciation that can be accounted for by intuitive eating and motivation to exercise for health-related reasons, after controlling for body mass index (BMI) and gender?
2) Does the addition of these two variables to the model that includes only BMI and gender as predictors result in a significant increase in the proportion of variance accounted for?
3) What is the nature of the contribution of each variable in the final model? What is their relative contribution to the model? What proportion of variance in the outcome do each variable uniquely account for? References Tylka, T.L., & Wood-Barcalow, N.L. (2015). The Body Appreciation Scale-2: Item refinement and psychometric evaluation.
Part B
In this section of the assignment you will use SPSS to answer a different research question In contrast to Part A, in this section of the assignment, only the raw data are provided. You will be required to enter these data into the SPSS Data Editor in a manner that allows you to run the appropriate analyses, including all relevant variable codes to specify the different groups in the design. Similarly to Part A, you will need to decide which statistical analysis is appropriate to answer the research question, run this analysis and report your findings in APA style.
1. Enter the data provided at the end into the SPSS Data Editor. Ensure that you label all variables, and assign value labels to each level of the independent variable(s)
2. Conduct the analysis required to answer the research question
3. The written portion of your answer should include: a. An introductory paragraph in which you make reference to the relevant descriptive statistics and go over the pattern of results. That is, describe with words what the descriptive statistics show (who performed better/worse, etc). Present these descriptive statistics using a Figure (must be a bar graph with SE bars)1. The Figure must conform to APA formatting standards (including clear labels and captions). It is not acceptable to simply copy and paste an SPSS output Figure. b. A paragraph in which you
(a) indicate what analysis you conducted and
(b) provide the results of the main analysis. Ensure that you explore any significant interactions with appropriate follow-up tests and that you report those results.
c. A paragraph discussing the results of the analysis in relation to the research question. That is, what is the answer to the research question? Remember, as in Part A, you do not need to discuss limitations.
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