In this section, task 2.1 was chosen for analysis in which the question answered is:
Can the age of blood used in the transfusion be used to predict the duration of a patient’s stay? Does this relationship vary between patient blood types? To complete the task, a linear regression analysis was employed.
Critique original research data sets relevant to their field of study selecting appropriate statistical methods
Discuss the relevance, validity and reliability of statistical methods in the context of experimental design
Evaluate and interpret scientific information and data, both qualitative and quantitative, relevant to applications of their subject area
4,500 word empirical research project
Research Question: “Are the following predictor variables positively or negatively associated with statistics anxiety: intrinsic motivation, extrinsic motivation, perceived autonomy, and perceived competence?”
The 4 predictor variables are intrinsic motivation, extrinsic motivation, perceived autonomy, and perceived competence. And the main criterion is statistics anxiety.
For each of the variables a hypothesis should be made and how it associates negatively/positively with statistics anxiety? This can be formulated through data collected in the excel sheet attached. However, this has to be transferred into SPSS and data should be analysed and presented here and how it relates to the hypothesis.
These 2 articles should help and based my literature review on references/sources that would be available from them.
Discuss what type of sampling you will be carrying out (probability or non-probability) as well as the specific sampling design you will utilize.
Explain the rationale (why you are using this approach) and limitations (the disadvantages of this approach) associated with your choice.
Describe how generalizable your study’s findings will be, and how important the issue of generalizability is, given your research question and the sampling plan you propose.
“Is amount of sleep impacted by blue light exposure before bed:Discuss?
Data Analysis Assignment Guidelines
The required data will be made available via Google Drive. Each student has their own dataset which will not be exactly the same as anyone else’s.
The SPSS file (CMNR7009HealthdatasetX) contains data from 1000 individuals. All variables are fully explained in the “Variable View” window. Use these data to plan your descriptive and inferential analyses to address the assignment set out in the steps below. You will present the results in the form of a statistical report.
Step 1:
Get to know your data. Look at the variables and see what they are measuring and what types of data you have to analyse.
Step 2:
Plan and describe how you will summarise the socio-demographic and general health of the sample (descriptive statistics). Think about the following points:
What summary statistics will you use for which kinds of data? What data will you put in tables and/or graphs? How will you assess the suitability of each of these methods? What assumptions are they based on? How will you treat each variable?
What are the sociodemographic, health and lifestyle characteristics of your sample participants? Describing your sample is the first part of your analysis and comes first in the report results. Think about why it is important to get a description of the sample before you present results from hypothesis testing.
Step 3:
Develop a series of hypotheses that can be tested using the different types of statistical tests below. What would be the hypotheses? What tests will you do and why? Explain why the statistical techniques that you will use are appropriate. (Hint: weeks 3-10). If you decide to create new variables, describe how you will do so and why you chose each method of doing so. (Hint: see information in weeks 1-4)
Select two categorical variables that are of interest to you and perform an appropriate univariate statistical test. Explain why the statistical test that you have used is appropriate, show the results and report your conclusion. Repeat this again using two new categorical variables or one new outcome (dependent) variable for the same potential explanatory (independent) variable.
Select a variable with two or three categories and investigate how the values of another continuous (scale) variable differ between categories. You may choose to create a new variable with two, three, or more categories from an existing continuous or categorical variable. (Example: blood pressure and gender or blood pressure and BMI categorised as normal, overweight, obese.) Repeat this again with another pair of variables that will lead to a nonparametric test if possible. (Hint: explore the data to look for skewed distributions of a continuous variable).
Perform a multiple linear regression analysis to find those independent variables (continuous and categorical) that are significantly related to systolic blood pressure at the 5% significance level. Use Enter method to add potential risk factors.
Data set link:
Strategic Profile Paper
What is the current strategy in your opinion and your writing-not from annual report, is it working?
Then discuss whether it meets Porters 5 Tests. Take each test and clearly state first whether or not it meets the test and why.
What should be their strategic considerations as they move forward…Adjust current develop new etc?
Conclusion about the future strategic direction of the company. Where could it go? where does it need to go?
Survival Analysis of Breast Cancer through the evaluation of protein expression levels among women in the____? cohort study, 2001 to 2010
Investigate trends in the number of inpatient discharges and the amount of inpatient payments
financed by Medicare from 1994 to 2012. Compare these trends between two types of
beneficiary entitlement categories—aged and disabled—and consider the implications that these
trends may have on developing future cost-containment strategies
Investigating problems using rigorous scientific methods
2. Identify relevant, reliable and valid sources of information
3. Analyse and interpreting qualitative data
4. Write clear and concise research reports and proposals
5. Synthesising and summarising complex information
