Provide the conceptual definitions (what is it?) and operationalizations (how do we measure it?) of your independent and dependent variables. 3. Draft a literature review for your research quest

1. Based on the feedback received on your first
deliverable, present a redrafted version of your
research question. Remember that this should
include:
• One paragraph describing the topic you
have chosen to conduct your research.
• One paragraph explaining the relevance of
your topic.
• Formulate one descriptive and one causal
research question for your topic.
• Formulate one hypothesis that stems from
your causal research question and use a
path diagram to present this model.
• If I did not give you any specific feedback,
you can simply copy and paste the content
from your first deliverable.
2. Provide the conceptual definitions (what is it?)
and operationalizations (how do we measure it?)
of your independent and dependent variables.
3. Draft a literature review for your research
question. This means that you must provide a
summary of the academic research that scholars
have conducted about your question of interest.
Make sure to include the appropriate citations
and references. The literature review should
have a length of about 500 words (not including
the list of references and include at least 102. Provide the conceptual definitions (what is it?)
and operationalizations (how do we measure it?
of your independent and dependent variables.
3. Draft a literature review for your research
question. This means that you must provide a
summary of the academic research that scholar
have conducted about your question of interest
Make sure to include the appropriate citations
and references. The literature review should
have a length of about 500 words (not including
the list of references) and include at least 10
references.
4. Describe the dataset that you will be using for
your research project. A dataset or database
should have a number of observations ("rows")
and information on a series of variables
associated to each observation. The universities
dataset that we use extensively in Week 6 is a
good example. Of course, it does not need to
have thousands of observations, but it should
have enough variation (about n=50, at least) anc
some variables (at least four) that you can
explore. What is the unit of analysis? What is the
scope of the data? What are the most relevant
variables? Make sure to attach the dataset in
your submission or include a link to it.