Statistical Analysis of Weight Changes Over Time

The mean score for the baseline was 76.65, while the standard deviation was 20.63. The average score at three months was 76.75, and the standard deviation was 20.681; similarly, the mean of scores at six months came out to be 75.69, and the standard deviation was 20.55. As per ANOVA, F(1.430, 141.592) = 22.849; p = 0.000. This means there is a statistically significant difference between the weights of the participants across time. For those seeking further insights or assistance, statistics dissertation help can provide valuable support in analysing such data. Here, the partial Eta Squared was found to be 0.188. For those seeking further insights or assistance, statistics dissertation help can provide valuable support in analysing such data. Here, the partial Eta Squared was found to be 0.188. Here the partial Eta Squared was found to be 0.188.

The chi-square test was carried out to analyse expectations of the participants with their weight loss. χ2(1) = 9.166; p < 0.05. This means there is a statistically significant association between them. Furthermore, 14 participants did not expect that they would lose weight and their responses also showed similar results, as they did not lose weight; in contrast 19 participants did not expect to lose weight, but at the three-months mark they lost weight. On the other hand, 10 participants who expected that they would lose weight, did not lose weight, while such expectations of 57 of the participants were met.

The chi-square test was again conducted to analyse association between expectation and the satisfaction levels of the participants. As per χ2(1) = 0.128; p > 0.05. As the value of p is greater than the critical alpha value, it can be said that there is no statistically significant association between them. In addition, the 15 participants who did not expect to lose weight were not satisfied, while 18 similar participants were satisfied. On the other hand, 33 participants, expecting to lose weight were not satisfied, and 34 similar participants who expected to lose weight, were satisfied.

From these results, it can be said that there is a significant association between expectation for weight loss and the end result of whether the weight is lost or not. Siervo et al. (2014) also found similar results. According to the author, the association between weight loss and actual weight loss are very significant. The author stated that this expectation could predict the amount of weight that people can lose at the end of a specific period. Similarly, Calugi et al. (2017) also found similar results and argued that people who expected to lose weight were able to lose a considerable amount of their weight.

Earlier studies show that the aspect of satisfaction from weight loss is also significant, yet the current results were different. Different results were also obtained by Mitura and Garnysz (2015), who stated that if individuals lose weight as they were expecting, then it can increase their satisfaction levels and vice-versa. Majority of the past studies that have been carried out on this subject matter have revealed that if individuals lose the amount of weight that they are expecting to at the end of a certain period, then their satisfaction levels will be high; exact opposite signs can be seen when people are unable to achieve their target of losing their weight within a specific time.

Skelton et al. (2016) performed a study with regards to assessing the influence of weight-loss expectations on weight loss and of weight-loss satisfaction on weight maintenance in people with severe obesity. Their results indicate that if people can meet their expectations regarding weight loss, then their satisfaction levels will be higher. According to the authors, this satisfaction level can be even higher if the individuals can maintain weight loss.

The study by Ames et al. (2014) provided a completely different perspective on the topic. According to the authors, the role of carers or caregivers is crucial in the process of weight loss. If they provide effective services to the people, then it can be most beneficial not only in losing the weight but also in maintaining the weight loss, thereby improving their satisfaction levels considerably.

Based on the above study, it can be said that the aspect of weight loss and its resultant satisfaction are linked with one another. If a person loses weight according to their expectations, then their satisfaction levels will be higher and vice-versa. This shows that weight loss expectations have a significant impact on the satisfaction of the people. Various previous researchers also have observed similar results. In many of the past studies, it has been observed that when the set targets are met as per expectations of the individual(s), then it has a significant influence on their satisfaction levels as well. From the current study, it can further be concluded that there are a number of different individuals and entities that have a role to play in the way people try to lose their weights and thus their satisfaction. Herein the study determined that carers or the caregivers also have a significant role to play in helping the concerned individuals in their weight loss program and thus their satisfaction levels as well.

Ames, G. E. et. al., (2014). Should providers encourage realistic weight expectations and satisfaction with lost weight in commercial weight loss programs? a preliminary study. SpringerPlus. 3.p. 477.

Calugi, S. et. al., (2017). The influence of weight loss expectations on weight loss and of weight-loss satisfaction on weight maintenance in severe obesity. Journal of the Academy of Nutrition and Dietetics. 117(1).pp. 32-38.

Mitura, K. and Garnysz, K. (2015). Tolerance of intragastric balloon and patient's satisfaction in obesity treatment. Videosurgery and Other Miniinvasive Techniques, 10(3), 445.

Siervo, M. et. al., (2014). Weight loss expectations and body dissatisfaction in young women attempting to lose weight. Journal of Human Nutrition and Dietetics, 27, 84-89.

Skelton, J. A. et. al., (2016). Satisfaction and attrition in paediatric weight management. Clinical obesity, 6(2), 143-153.

SPSS Output

Descriptive Statistics

Multivariate Testsa

Mauchly's Test of Sphericitya

Design: Intercept

Within Subjects Design: Weight

May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.

Tests of Within-Subjects Effects

Tests of Within-Subjects Contrasts

Tests of Between-Subjects Effects

Crosstab

Chi-Square Tests

The mean for baseline is coming out to be 76.65 (SD = 20.63) and that of three months is coming out to be 76.75 (SD = 20.68). Showing there is no much difference between baseline and 3 months. However, to test the significance we need to consider the below paired sample t-test:

As per t-test, t(99) = -.789; p = .432. As the p-value is greater than the critical alpha value of 0.05, it shows that there is no statistically significant difference in weight between baseline and three months

Comparison between baseline and 6 months

The mean for baseline is coming out to be 76.65 (SD = 20.63) and that of six months is coming out to be 75.69 (SD = 20.55). Showing there is no much difference between baseline and 6 months. However, to test the significance we need to consider the below paired sample t-test:

As per t-test, t(99) = 5.97; p = .000. As the p-value is less than the critical alpha value of 0.05, it shows that there is statistically significant difference in weight between baseline and 6 months. Weight after 6 months is significantly lower as compared to baseline.

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