Solution Code: 1IFE
This assignment falls under “Psychology Dissertation” which was successfully solved by the assignment writing experts at Grade Saviours under assignment help service.
Life Stress and Health: A Review of Conceptual Issues and Recent Findings report that seemingly small interventions can have large payoffs for students. These interventions not only break the redundancy of a normal school day, but also help in inculcating positive values in kids and the value system combined with the rigorous academic system results in long lasting positive learnings for the kids. These interventions also help the teacher to create stronger bonds with the students and as a result students learn to bond strongly with each other. This support system is valuable or students because it given them an authentic experience of positive and nourishing relationships. These relationships combined with value based teaching approach, results in reduced academic gaps, and higher interest in education and its benefits by the students. As a result of this, the students feel that they have a place to belong, they are valued and heard and their educational experience is worthwhile. (Marten, Greenberg, Schimel, 2006) As a result they are more interested in the educational experience and take ownership of their actions and try harder to get better at what they are good at and focus on long-term goals and strive hard to achieve them. Thus, seemingly small positive interventions do have a lasting impact on the children’s experience in school. (Garcia, Cohen, 2005)
| (CES-DC) | (SRQ- A) | General Likert scale |
| The CES-DC is a set of 20 questions, which helps to evaluate depression levels in children within a scale of 0 to 3 (0 minimum, 3 maximum) | Academic Self-Regulation Questionnaire (SRQ- A) has two versions- one for the students with learning disorders and the other is a standard one. The main purpose of this questionnaire is to find out that why do children do their school work. | This third scale is used to evaluate the subjective happiness in children. This scale is a basic Likert scale and this scale helps the researchers to understand that how happy children are in their lives and how do they scale their happiness. |
| The 20 question would be asked to be answered in “Not at all” (0), “A little” (1), “Some” (2), and “a lot” (3). | The response of each question is recorded on the 4 point scale as 7 point scale is not possible for children. The children are asked to circle their answers, instead of writing on an answer sheet. | This would also help to understand that how children find themselves in comparison to their peers. |
The purpose of these questions is to understand
|
This research presents the two versions of SRQ-A. In the first version four questions are asked, related to why student do their school work. Various responses are given in each question. | The four simple questions about happiness are very significant in understanding the mental level of children |
| The method implied for calculating the level of depression in a child can be found out based on levels 0 to 3 multiplied by the 20 questions, thus, giving a score between 0 and 60 | In the second version, questions are not presented with various responses, rather they are asked as separate questions. This version is used to understand the learning disability in children. | It also focuses on how children react when they are asked about unhappiness; do they find themselves unhappy, or they are able to judge their happiness and unhappiness? |
| Variable | Cronbach’s Alpha |
| Subjective Happiness (SH) | 0.56 |
| Academic Self-Regulation (SD version) | 0.74 |
| Academic Self-Regulation (LD version) | 0.75 |
| Depression Children (CES-DC) | 0.88 |
| Overall | .69 |
| Statistics | ||||||
| SH | CESDC | SRQLD | SRQSD | SRQSD_1 | ||
| N | Valid | 68 | 68 | 68 | 68 | 68 |
| Missing | 0 | 0 | 0 | 0 | 0 | |
| Mean | 18.76 | 18.64 | 18.30 | 81.58 | 81.58 | |
| Std. Deviation | 3.07 | 6.76 | .031 | 7.61 | .83 | |
| Minimum | 12.00 | 5.33 | 1.80 | 62.33 | 80.72 | |
| Maximum | 25.33 | 41.33 | 1.87 | 102.67 | 82.39 | |
| Correlations | |||
| sh | CESDC | ||
| Sh | Pearson Correlation | 1 | .106 |
| Sig. (2-tailed) | .328 | ||
| N | 68 | 68 | |
| CESDC | Pearson Correlation | .106 | 1 |
| Sig. (2-tailed) | .328 | ||
| N | 68 | 68 | |
| *. Correlation is significant at the 0.05 level (2-tailed). | |||
| Correlations | ||||
| SRQSD | SRQSD_1 | SRQLD | ||
| SRQSD | Pearson Correlation | 1 | .110 | .-110 |
| Sig. (2-tailed) | .312 | .312 | ||
| N | 68 | 68 | 68 | |
| SRQSD_1 | Pearson Correlation | .110 | 1 | -1.00** |
| Sig. (2-tailed) | .312 | .000 | ||
| N | 68 | 68 | 68 | |
| SRQLD | Pearson Correlation | -.110 | -.100** | 1 |
| Sig. (2-tailed) | .312 | .000 | ||
| N | 68 | 68 | 68 | |
| **. Correlation is significant at the 0.01 level (2-tailed). | ||||
| Hypotheses | Correlation Value | Interpretation |
| H1: There is a significant impact of Depression Children (CES-DC) on the Subjective Happiness (SH) | 0.106 = 10.6% | Insignificant Correlation |
| H2: There is no significant relationship between SD VERSION and LD VERSION. | 0.110 = 11% | Insignificant Correlation |
| H3: There is no significant relationship between SD VERSION and LD VERSION. | 0.01 = .1% | Insignificant Correlation |
| Model Summary |
| Model Summary | |||||||||
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Change Statistics | ||||
| R Square Change | F Change | df1 | df2 | Sig. F Change | |||||
| 1 | .106a | .011 | .000 | 3.071 | .060 | .969 | 1 | 66 | .328 |
| a. Predictors: (Constant), CESDC | |||||||||
| Model Summary | |||||||||
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Change Statistics | ||||
| R Square Change | F Change | df1 | df2 | Sig. F Change | |||||
| 1 | .044 | .002 | -.010 | .03196 | .282 | .165 | 2 | 65 | .000 |
| a. Predictors: (Constant), SRQSD, SRQSD_1 | |||||||||
ANOVA
|
|||||||||||||||||||||||||||||||||||||||||||||||
| ANOVAb | ||||||
| Model | Sum of Squares | df | Mean Square | F | Sig. | |
| 1 | Regression | .087 | 2 | .043 | .165 | .000a |
| Residual | .000 | 84 | .000 | |||
| Total | .087 | 86 | ||||
| a. Predictors: (Constant), SRQSD, SRQSD_1 | ||||||
| b. Dependent Variable: SRQLD | ||||||
Coefficientsa
|
|||||||||||||||||||||||||||||||||||||
| Coefficientsa | ||||||
| Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | ||
| B | Std. Error | Beta | ||||
| 1 | (Constant) | 4.938 | .000 | 6.920 | .000 | |
| SRQSD_1 | -2.741 | .000 | .000 | .000 | 1.00 | |
| SRQSD | -.038 | .000 | -1.00 | -4.347 | .000 | |
| a. Dependent Variable: SRQLD | ||||||
| Hypotheses | Values | Interpretation |
| H0: There is a significant impact of Depression Children (CES-DC) on the Subjective Happiness (SH). H1: There is a no significant impact of Depression Children (CES-DC) on the Subjective Happiness (SH). | p-value <? (0.000 < 0.01) | Reject H0 Accept H1 |
| H0: There is a significant relationship between SD VERSION and LD VERSION. H2: There is no significant relationship between SD VERSION and LD VERSION. | p-value >? (0.056 > 0.01) | Accept H0 Reject H1 |
Interpretation
An error in normality exists when mistakes from numerous regression are regularly disseminated. To check typicality of errors, there are two methodologies: Histogram of Residuals and Normal Profitability Approach. I have utilized both ways to deal with check the errors of Normality. In the primary approach, the histogram ought to be ringer formed. In the figure over, the state of the histogram is ringer formed which demonstrates typicality of missteps. In this manner, the third supposition is likewise fulfilled.
Normal Probability Plot
In the figure over, the regression line is explain by the straight line while the spots explain to the perceptions in the information set. In this presumption, the separation between the specks and regression line ought to be minimum. The dabs lie nearer to the regression line that demonstrates that the third suspicion is fulfilled.
Heteroskedasticity
Interpretation
The Heteroskadicity exists when errors have non-steady change. At the point when information demonstrates a scattered plot with every one of the qualities scattered then there is no Heteroskadicity in the information. In the figure over, the qualities are scattered. Along these lines, it can be translated that there is no Heteroskadicity in the information set. Along these lines the fourth and last supposition of ordinary least square is additionally fulfilled.
Chapter 05: Conclusion and Recommendation
This section manages the discourse on general exploration by tossing light on the outcomes thoroughly. The outcomes found in this exploration are contrasted with past inquires about with reinforce the possibility of this examination. On the premise of nitty gritty dialog, conclusions are determined which correctly covers the discoveries of the examination and give general derivation. Further, this area gives suggestions to change of the farming part all in all furthermore expresses the potential impediments that were significant in this exploration
Discussion
In chapter 4 the various tests are applied to variables to check that either the generated hypothesis are accepted or rejected. Now after applying the test on subjective happiness andDepression Children the results are significance and there is a relationship between these two variables. Because when the people are happy then they can able form more success and can easily engaged in themselves in the society. And when it comes to children education career and life, positive skills and mind set both play an important role. Academic Self-Regulation (SD version) and Academic Self-Regulation (LD version) both are used in research. Form these two variables we are able to conduct a per and post research. By the passage of time with the help of research on different students and exploration the researcher analyze that positive psychological interventions and academic gains must be used in different school systems. So that can be helpful for the teachers to know about the problems of the students due to which they move to depression. When the human brain start making a positive patterns then they can spend their rest of life in a positive direction, and for kids’ positive thinking make them confident and creative.
Teachers also played an important role in this study as they were trained and prepared to teach lessons to kids who can help the kids to answer according to questionnaire requirements. Besides this, the parents are too important for this study as they must be positive with their kids not only in studies but with their personality that can be help full for their kids to convert them intoacreative thinker and optimistic.
Qualitative methods such as questionnaire used for this study is to save the time and find the results as soon as possible, by using before and after questionnaire the children were prepared to answer three questionnaires, these are subjective happiness, Centre for Epidemiological Studies Depression Scale for Children (CES-DC), Academic Self-Regulation Questionnaire (SRQ- A) and a general Likert scale for the students. And when the data collection is done then the results were analyzed on SPSS. This study was explanatory study, and the aim is to find the relationship between the variables, subjective happiness and Centre for Epidemiological Studies Depression Scale for Children (CES-DC),Academic Self-Regulation Questionnaire (SRQ- SD) and Academic Self-Regulation Questionnaire (SRQ- SL).
The results from this study will help the school going students, their parents and teachers. The main purpose of this study to create positive thinking that can help them to be move innovative in their life.
Conclusion
After conducted the descriptive analysis the main is to check that is there any kind of relation between the variables or not. We had dividend our variables in to two parts. The first is to check the relationship between subjective happiness and Depression Children. After running the correlation analysis the results are significant and there is a relationship between their two variables. On the basis of this result our first hypothesis is accepted i.ethere is a positive relationship between positive mental health and educational attainment in children.On the other hand when the correlation analysis was tested on the rest of two variables Academic Self-Regulation (SD version) and Academic Self-Regulation (LD version), the results are not significant, which means Educational resilience can be built by using positive psychology interventions.
Recommendation
This study is based onqualitative interventions it is also knows a time based study. Time based study is a process in which the researcher collects a sample from a large number of populations over a given period of time. As this sample of this study was children, and the data is collected from with a help of questionnaires pre and post. But form children this technique of data collection is not appropriate, because the ages of children in this study are not able to answer according to their desire, they just observed the current scenario and answer according to that. So convenience sampling technique is more good for the kids of ages from 7 to 12. No current research exists to find a direct correlation between students’ academic gains and positive psychological interventions and even though positive interventions are sometimes used in school systems, their direct effects are seldom observed and analyzed. So it is complicated to compare the results from the past research, due to less research work on the variables which were used in this study.
Limitation
The various limitations had found in this study. Starting from a methodological point of view, correlation between students’ academic gains and positive psychological interventions had not be found yet in these days research, so it’s not possible to find a appropriate results, there must be some flaws while conducting this research. This study was conducted with children who were school going and having age group from 7 to 12. These students were from grade 2 to grade 7th. Specific particular task might restrain the guesswork of results. The results may be replicated in reciprocal where the situation is real and settings were hierarchical.
This study was based on pre and post questionnaires, which is a limitation so we can say that this study is a snapshot of a longitudinal data. The questionnaires were distributed by the teachers in schools. The teachers were conducted three positive psychology interventions with the students and deliver a positive lesson plan, the students’ responses and point of view were noticed by pre and post activities questionnaires. In this research 600 questionnaires were done by the students. Due to limited sample size and shortage of time the results are not according to aims and objectives but it can be taken as appropriate according to the scenario.
This Psychology Dissertation sample was powered by the assignment writing experts of Grade Saviours. You can free download this Psychology Dissertation answer for reference. This solved Marketing assignment sample is only for reference purpose and not to be submitted to your university. For a fresh solution to this question, fill the form here and get our professional assignment help.
1,212,718Orders
4.9/5Rating
5,063Experts
Turnitin Report
$10.00Proofreading and Editing
$9.00Per PageConsultation with Expert
$35.00Per HourLive Session 1-on-1
$40.00Per 30 min.Quality Check
$25.00Total
FreeGet
500 Words Free
on your assignment today
Get
500 Words Free
on your assignment today
Request Callback
Doing your Assignment with our resources is simple, take Expert assistance to ensure HD Grades. Here you Go....