Quantitative research analysis

The purpose, expectations and requirements of the assignment:
Please see the ‘Further Quantitative Assessment 2020’ document on Blackboard for full instructions. As summarised there, the Grandparents dataset consists of a sample of 1566 young people aged 11 -16 years drawn from England and Wales in 2007. The data were extracted from the ESRC UK data archive. The dataset and associated survey questions can be found on Blackboard. Please note that the dataset has been amended with many variables removed to facilitate analysis, therefore not all of the questions from the survey are featured in this dataset. The variables available for analysis are listed in ‘Further Quantitative Assessment 2020’ on Blackboard.
Data analysis task
Consider the variable of the Strengths and Difficulties Questionnaire (SDQ) as the dependent variable, with any of the grandparenting variables listed above.
You should also consider all of the other variables, except the participant ID.
You will need to explore the literature in this area to derive some hypotheses which will determine how you analyse the data. Some example literature is provided on Blackboard in the Assessments folder and below; however, you are also expected to explore the literature further.
Explore the dataset with SDQ as the outcome (DV), performing basic descriptive and inferential statistics appropriate to your hypotheses. You will be expected to have a number of hypotheses which allow the use of a range of tests,
e.g., t-test/ANOVA/Correlation/Multiple regression
The SDQ has been included in the dataset as two types of variable: as total score and also categorised as ‘normal/borderline or abnormal.’ You can use either one or both SDQ variables in your analyses. In addition, the SDQ question items are included so that you can calculate the reliability of the SDQ difficulties total and comment on this in your methods section, under the section describing the measures entitled ‘measures’.

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