One 1500-2000 word essay on quantitative research analysis
you are asked to write a brief research report using the quantitative analysis techniques.
To this end please follow the steps and outline below:
Introduction: define your research question. Provide a brief background to the study and say why the question is interesting / significant.
Theory: Think about what factors may be important for answering your research question and why they may be important. Which theoretical models can/cannot explain the phenomenon you are interested in? You will need to do a brief literature review to flesh out your ideas with the relevant literature. Based on this, try to answer your research question. What explains your (outcome) Y.
Derive a hypothesis based on your theory that links your cause (independent variable) X to your outcome (dependent variable) Y – and think about how to best measure these two concepts.
Example: Based on the example of why people vote for the far right, you might want to test three hypotheses related to racism, political alienation, and social alienation. Provide a brief discussion of why you think each factor may be important, drawing on relevant literature where appropriate, and discuss how you are going to measure your variables.
Analysis and results:
Depending upon your research question you will either test your hypotheses using cross-tabs or regression. Make sure you use the appropriate technique.
Present the results of your analysis in a word table (do not simply cut and paste from SPSS). Make sure that your table contains all the relevant information and is correctly labelled with a clear title etc.
Interpret the results. Are there any identifiable patterns? Do the results support or contradict your hypothesis. What can you infer about, for example, the causes of support for far-right political parties.
PLEASE USE SPSS PROGRAMME.USE CROSS-TABS OR REGRESSION. WE DID THIS TOPICS IN OUR CLASSES: Descriptive Statistics,Bivariate Analysis I: Analysing Tables,Elaborating Crosstabs,Bivariate Analysis II: Analysing Figures, Multivariate