Cross Sectional and Longitudinal Experimental - Statistics Assignment Help

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Assignment Task :

AIMS AND OBJECTIVES

This is essentially an introduction to your research methodology. Here, you will state the aim of the study/purpose for the current study (i.e., why is the issue important? – scientific relevance, social relevance. Is the study qualitative or quantitative?). 

Next, discuss the nature of the research (i.e., is your study exploratory, descriptive, relational, or experimental/evaluative – explain why).

  • Give a brief description of your research design you will describe in the sections below (i.e., is the study cross-sectional, longitudinal, experimental, quasi-experimental, a case study etc.)
  • Finally, end this section by stating your research questions and/or hypotheses you are addressing in the research  

 
METHODOLOGY 

Sample and data

  • Description and background of the sample: What are the units of analysis and how will they be selected? Describe your sampling frame if applicable.
  • What sampling procedure will you use? What is your sample size and why? (Here you may look to other similar research on your topic and can provide a citation to another study that has used a similar sample size). Or you may provide a logical rationale for selecting a certain sample size (or comparison group etc.).

 

Procedures

  • How were the data collected? (i.e., survey/interview/file coding). If you are using a previous research instrument you can describe it here and provide a citation(s).
  • What are the specific ethical considerations related to your research?

 

Measures

  • Describe the key concepts that you will be investigating/measuring in your study and how are they operationalised?
  • What are your key independent variables and how will they be measured (i.e., what will the level of measurement be for each of the key variables? - e.g., sociodemographic variables, other independent variables in your research, e.g., participation in treatment etc.)
  • What is your key dependent variable and how will it be measured (i.e., what will the level of measurement be for the dependent variable? (note. there may be more than on dependent variable).

 

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