DESCRIBE THE VARIABLE OR VARIABLES THAT ARE BEING ANALYZED. IDENTIFY THE STATISTICAL TEST YOU WILL SELECT TO ANALYZE THESE DATA AND EXPLAIN WHY YOU CHOSE THIS TEST. SUMMARIZE YOUR STATISTICAL ALTERNATIVE HYPOTHESIS.

Before starting make sure that you have agreement for individual tasking. This is a team project and all team members are required to have a significant contribution.

? Start team assignment (TA) early in the next week or even by the end of this week,

do not postpone it until the weekend;

? Be clear about your contribution for this TA.

? Define the timeline for delivery, e.g., First Draft by Thursday (4/6), Group Modification by Friday (4/7),

Review by all team by Friday and Saturday, ready to submit by Saturday.

Team Assignment #1

Start with the cover page (1 page, include name of all group members, group #,running head, abstract).

Please look at the example: .apastyle.org/manual/related/sample-experiment-paper-1.pdf”>http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf

Title

All topics approved, so you have your topic and dataset.

1. Introduction

Introduce the problem or topic being investigated. Include relevant background information that: indicates why this is an issue or topic worth researching; highlights how others have researched this topic or issue (whether quantitatively or qualitatively), and specifies how others have operationalized this concept and measured this phenomena quantitatively (This is the place for literature review).

2. Literature Review

The group should locate at 3-5 articles that present quantitative research on the topic selected.

At the end of this section, the Research Question or Research Hypothesis should be formally stated (Please do not use articles published before 2000).

3. What is the group’s Research Question or Research Hypothesis?

Some points for RQ and Hypothesis

There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.

Examples of non-testable questions are:

How do managers feel about the reorganization?

What do residents feel are the most important problems facing the community?

Respondents’ answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.

In order to overcome this problem, researchers often seek to answer one or more testable research questions. Nearly all testable research questions begin with one of the following two phrases:

Is there a significant difference between …?

Is there a significant relationship between …?

For example:

Is there a significant relationship between the age of managers

and their attitudes towards the reorganization?

Is there a significant difference between white and minority residents

with respect to what they feel are the most important problems

facing the community?

A research hypothesis is a testable statement of opinion. It is created from the research question by replacing the words “Is there” with the words “There is,” and also replacing the question mark with a period. The hypotheses for the two sample research questions would be:

There is a significant relationship between the age of managers

and their attitudes towards the reorganization.

There is a significant difference between white and minority residents

with respect to what they feel are the most important problems facing the community.

It is not possible to test a hypothesis directly. Instead, you must turn the hypothesis into a null hypothesis. The null hypothesis is created from the hypothesis by adding the words “no” or “not” to the statement. For example, the null hypotheses for the two examples would be:

There is no significant relationship between the age of managers

and their attitudes towards the reorganization.

There is no significant difference between white and minority residents

with respect to what they feel are the most important problems facing the community.

All statistical testing is done on the null hypothesis…never the hypothesis. The result of a statistical test will enable you to either: 1) reject the null hypothesis, or 2) fail to reject the null hypothesis. Never use the words “accept the null hypothesis.”

Source: .com/manual/index.htm?turl=formulatinghypothesesfromresearchquestions.htm”>https://statpac.com/manual/index.htm?turl=formulatinghypothesesfromresearchquestions.htm

4. Method

Discuss the Research Methodology (in general). Describe the variable or variables that are being analyzed. Identify the statistical test you will select to analyze these data and explain why you chose this test. Summarize your statistical alternative hypothesis. This section includes the following sub-sections:

4-1. Describe the Dataset

Example

The primary source of data will be HOPSITAL COMPRE MEDICARE DATA (Add citation). This dataset provides information on hospital characteristics, such as: Number of staffed beds, ownership, system membership, staffing by nurses and non clinical staff, teaching status, percentage of discharge for Medicare and Medicaid patients, and information regarding the availability of specialty and high-tech services, as well as Electronic Medical Record (EMR) use (Describe dataset in 2-3 lines, Google the dataset and find the related website to find more information about the data).


 

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