Analysis of Statistical and Quantitative Data Assignment 2

Assignment Task

Quantitative data analysis

Each student must submit an individual report. Use the template report for submitting your work. Please upload a .pdf file with the name: ( A2 + your name and last name ). The assignment must not exceed words (excluding references, table of content, appendixes (if needed) and any text in tables or graphs).

For assignment 2, you will use the DATASET and CODEBOOK that are produced from the survey (attached below).

Assignment instructions

The purpose of this assignment is for you to learn how to use quantitative data and statistical analysis methods to answer research questions. Therefore, you will need to familiarise yourself with quantitative data analysis and inferential statistical tests and write a scientific report explaining your process.

Your task is to:

• focus on a specific part of the dataset that you are interested in studying ,
• formulate a research question and THREE sub-questions (that focus on different parts of the main question) based on the dataset (EMDSV-Assignment-1.sav),

To design a good quantitative research question, you can follow the following steps:

1. Select the type of quantitative question. Check the lecture (Part 1) as well as “What kind of Research Question are You Asking?” (p.287-290) from Easterbrook et al. (2008).

2. Identify the independent and dependent variables and the types of numerical

3. Select a suitable structure. By structure, we mean the components of a research question (i.e., the types of variables and a group(s) of interest), the number of these different components (i.e., how many variables and groups are being investigated), and the order that these should be presented (e.g., independent variables before dependent variables).

Report content

1. Introduction 

This chapter introduces the report and typically presents the problem, the research question and delimitations. Put the study in a research context, i.e. provide sufficient background for the reader to understand the context of the subject. In this chapter, you should usually use relevant scientific references. References should be linked in the discussion and conclusion sections. However, it is not required in this assignment but will contribute to the quality and clarity of your report.

You should formulate the overall research question and sub-questions correctly  and formulate and present hypotheses for the required statistical tests correctly .

2. Method

The method section is a crucial part of any scientific research for providing a solid base for the research process and the validity of its results. It is therefore important to include the following subsections in your report:

• A well-formulated argumentation (anchored in the course literature and extra materials) for the choice of statistical tests (three different tests). You should justify for each test why the test is appropriate both in terms of what you want to examine and the suitability of the used variables in terms of scale 
• A well-formulated discussion (anchored in the course literature) on research ethics and their aspects in reporting and analysing results. You can, of course, expand this discussion for the whole process, including the validity and reliability of results.

3. Results and analysis 

In this section, you should interpret and analyse the results of the statistical tests you have performed and how they relate to your sub-questions. You should provide relevant descriptive statistics and the inferential statistical tests needed for your hypotheses in each sub-question. You can choose between Correlation, T-test, Chi-square test, and Multiple Regression (or equivalent).

Analysis of descriptive statistics and the three different types of statistical tests you have chosen are assessed as follows:

• for each meaningful/relevant/correct choice of variables in the
• for each correctly performed test (including correct scale type).
• for each correctly interpreted and analysed test (should also be correctly presented following APA style).
• for each correctly and extensively interpreted and analysed test (should also be correctly presented following APA style).

4. Discussion and conclusion 

Here you discuss how your results relate to the overall research question (and sub-questions) and previous research and draw your conclusion/s.

After you are done with your analysis, it is important to reflect on how your study is fulfilled. This means that you discuss how your sub-questions are answered using the inferential tests and analysis and how they - together - contribute to answering the main research question (fully or partially). It is also important to draw some final concluding remarks and future suggestions.

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