Assignment on Developmental Coordination Disorder Causes Obesity and Makes Adolescents Lonely

Statistical analysis and interpretation

It has been observed by the various studies of the numerous authors that the DCD (developmental coordination disorders) are now becoming the cause of the obesity due to which most young children’s and teenagers are feeling loneliness. This terms or disease is also defined as the disorders of the neural developmental which can easily characterize by the coordination’s of the gross motors and poor fine. The problems of such kinds of coordination are not considered as the results of the intellectual disability and neurological conditions. These can interfere significantly along with the activities of the daily living achievements. In order to observed this situation, the experiment has been conducted by considering the two groups of the Adolescents and various readings are measured for them.   For both of these groups the data is collected for three major variables that are BMI body mass index of the individual, Loneliness and the participation or coordination. Firstly, the analysis is conducted for first group.

In this regard an investigation of some of the reciprocal prospective relationship has been observed between weight and loneliness which has been presented in adolescence and it is one of the most significant factors. Some of the recent studies has ben done to discover the feelings of loneliness and weight among the population of 10-13 years old and investigate whether low or high weight status place adolescent at risk of loneliness. As well as it can also been mentioned that loneliness has been taken as negative feeling which ensues did not perceive their social relationship to be satisfied as they will share one of the obvious symptoms with depression. Despite from this it has also been mentioned that some of the socio economic status will also effect loneliness during adolescence but parents who hold limited source of income might not be found satisfactory time to spend on their children’s.

The total five tests are conducted by using the SPSS software and this software are the good source to measuring the cause and effects of the particular variables. These tests are; Regression, Correlation, One-way ANOVA, T-Test and Chi square.

 Regression of Developmental Coordination Disorder Causes Obesity and Makes Adolescents Lonely
Developmental coordination disorder (DCD) is described
in the Diagnostic and Statistical Manual of Mental Disor-
ders, Fourth Edition (DSM-IV) as a neurodevelopmental
disorder that is characterized by poor fine and/or gross
motor coordination. These coordination problems are not
the result of a neurological condition or intellectual disabil-
ity, and interfere significantly with academic achievement
or activities of daily living
 

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.658a	.434	.414	8.85408
a. Predictors: (Constant), BMI, LONELINESS

 

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	67.962	7.040		9.654	.000
	LONELINESS	-.151	.070	-.217	-2.153	.036
	BMI	-1.727	.296	-.589	-5.839	.000
a. Dependent Variable: PARTICIPATION

Interpretation of Developmental Coordination Disorder Causes Obesity and Makes Adolescents Lonely

In the regression model, the value of R-Square provides the measure for the goodness- of-fit. This value tends to depict the %age variance change in the dependent variable due to the independent variables. Based on the regression analysis for the current data set, it is evaluated that the value of R is 0.658. As far as the value of R-square for the current study variables is concerned, it is 0.434. This value is determining a significant percentage change on the dependent variable (participation) due to the study independent variables (i.e BMI and loneliness). The value of adjusted R-square provides for a comparison between the study models. This value is 0.414 which shows that out of total variation narrated by the regression line, the variation %age is significant. In case we talk about the value of p for the regression model, this value is less than 0.05 for all the study independent variables. The value of p and t; 0.05 shows that the study independent variables (i.e., BMI and loneliness) are negatively significantly associated with the study dependent variable (participation). It can be said that these parameters better help to determine the effects of participation/ coordination by which it can have varying reasons to take place. It shows that coordination disorders did not casing the loneliness and obesity in the adolescents.

Correlation of Developmental Coordination Disorder Causes Obesity and Makes Adolescents Lonely

Correlations
		PARTICIPATION	LONELINESS	BMI
PARTICIPATION	Pearson Correlation	1	-.308*	-.623**
	Sig. (2-tailed)		.017	.000
	N	60	60	60
LONELINESS	Pearson Correlation	-.308*	1	.154
	Sig. (2-tailed)	.017		.240
	N	60	60	60
BMI	Pearson Correlation	-.623**	.154	1
	Sig. (2-tailed)	.000	.240
	N	60	60	60
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).

Interpretation of Developmental Coordination Disorder Causes Obesity and Makes Adolescents Lonely

The relationship of the study dependent and the independent variables are determined by using the Pearson correlation coefficient. For p< 0.01, the value of the Pearson coefficient is showing that there exists a strong negative correlation between the study dependent and the independent variables. These variables are negatively significantly associated with each other.

One Way ANOVA of Developmental Coordination Disorder Causes Obesity and Makes Adolescents Lonely

The various analyses can be measure for this created situation as the one way ANOVA test has been applied on this situation that is the good module for measuring required association of both these variables. The few quite tables are generated by using SPSS for the test of the one way ANOVA analysis. This part also represents the several notables that are required for understanding the various steps of the one way ANOVA.

Interpretation

The above given table is representing the output for the ANOVA analysis along with the statistically significant difference among means of the groups. It is not mention that the one is the particular group differentiates and for the measuring differentiation of both variables several other test are applied. The ANOVA table is illustrating about the specific quantifiable framework that is required to assessing the potential difference as indicated by the scale subordinate factors just as the ostensible factors which have just two arrangements. Subsequent to directing the ANOVAs test, it has been seen that there is a statically huge distinction between the independent and continuous variables.

Interpretation

The 95% confidences intervals came from the descriptive statistics. The significance value in the above given table is .0.000 that is the less than 0.05 it shows high level of significance among these variables. . In the above-given table, the F is 25 for group 1 and 15 for group 2 which is demonstrating that the model is solid match. In the above table P shows the significance level which is 0.01 and it is less than 0.05. The positive values shows the variables are affecting each other positively and the level significance shows that there is positive significant relationship among both variables. The alternative hypothesis is accepted and null hypothesis is rejected in this test.

T-Test

The tests are applied by considering the situations of the variables. To measuring the comparison of the two variables t-test is applied because the means can be easily compared among the two unrelated groups for the continuous same independent variables. In the independent t sample t-test the dependent variables which is “participation” is measured on the continuous scale meanwhile the independent variable that is “BMI and loneliness” it consist of two categorical independence groups as group one or group 2. This independent variable is meat each of the criteria as group one or group 2. Independent sample T-test has been applied by using SPSS and the output generated in such manners for both of these variables as caffeine drinkers and heart rate.

Interpretation

The above given table is represents the group Statistics and in the first column of this table the three variables are illustrating for the two groups of them. Few of the descriptive statics are also representing this table as the Column N shows the numbers of participations there are only 60 peoples who have participated in this study. The mean value for the participation is 22.1 and the mean value for loneliness is 49.6 meanwhile the mean value of the BMI is 22.21. The values of the standard deviation are also represented in this table. It represents that participation Std. Deviation is 11.56, Loneliness is 16.59 and BMI Std. Deviation is equal to 3.94.

Interpretation

The above given table is representing the value for the one sample t-test. The Test for Equality of Variances has been applied to comparing the all of these variables as participation and Loneliness and BMI from which two are the independent variables meanwhile one participation in the dependent variable that shows the cause of the obesity in adolescent. In this table the value t statics is 14.804, 23.156 and 43.611 for participation, loneliness and BMI respectively that show the good fitness of the model because these values are greater than 10. The significance level is less than 0.05 it shows theses variables highly significant relationship among each other. Sig. (2-tailed) is also less than 0.05 for both assumed and UN assumed equal variances. All of these values are calculated by considering the 95% confidence interval.

Chi-Square Tests of Developmental Coordination Disorder Causes Obesity and Makes Adolescents Lonely

In the above discuss scenario participation is the dependent variables meanwhile the Loneliness and BMI’ is independent variable. Two ways cross tabulation has been generated by conducting the Chi-secure test for all of these variables that are clearly illustrating the association among the dependent and independent variables. In the table of the two ways cross tabulation the value of the chi square expressing the significance of the variables.

The tables of the Cross tabulation is represented in the output file of the SPSS.

Interpretation

While interpreting chi-square tests for the items of the loneliness and participation, it is identified that it is all about the level of significance. For p-value of any of the items that is less than the significance level (0.05), the null hypothesis is not accepted. It shows the existence of a relationship between loneliness and the participation. For half of the items for these variables, the chi-square test shows that the p-value of item is greater than the significance level (0.05) that means the null hypothesis is accepted and there does not exist a significant relationship between the both of these variables.

Interpretation

While interpreting chi-square tests for the items of the BMI and participation, it is identified that it is all about the level of significance. For p-value of any of the items that is less than the significance level (0.05), the null hypothesis is not accepted. It shows the existence of a relationship between BMIs and the participation. For half of the items for these variables, the chi-square test shows that the p-value of item is greater than the significance level (0.05) that means the null hypothesis is accepted and there does not exist a significant relationship between the both of these variables. It represents that Pearson Chi-Square value for the BMI is 1595 and its df is 1536.