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Illustration of a well-developed understanding of SPSS data input, reading the output, and data distribution

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Occupational Therapy Degree Apprenticeship

Research Practice

Quantitative Methods Summative assignment 2021

The purpose of this assignment is to help you demonstrate your understanding of the principles of good research practice. This assignment covers the essential aspects of quantitative research, which reflect the content of appraisal tools such as CASP, providing the structure necessary for those new to research. It tests your knowledge about research design, reliability and validity, and the ways in which results are analysed and interpreted. The essential principle being learned is that it is important to be knowledgeable about (and have competence in) research skills in order to appraise published studies.

You are provided with a series of questions about research skills. These are to be answered on the form provided.

It is good practice to include references to support their arguments. Wider reading is necessary to understand key concepts and to answer the assessment questions, but we will not be assessing use of sources or referencing in this assignment. If citations and references are used, they will be excluded from the word count.

Formatting:

· Please use Arial or Calibri font size 12, 1.5 line spacing.

· his assignment has a word limit of 1000 words. 10% under or over rule does apply.

· In the header, please include your student number and word count. Please do NOT include your name.

·  Feel free to keep or delete this title page from your assignment.

·  If there are any issues with formatting, please save as a pdf before uploading to Blackboard.

· Percentages are attributed per question and are indicated at the end of the question in brackets.

Specific guidelines:

1. Illustration of a well-developed understanding of quantitative research design and sampling

2. Illustration of a well-developed understanding of reliability and validity

3. Illustration of a well-developed understanding of SPSS data input, reading the output, and data distribution

4. Illustration of a well-developed understanding of SPSS data input, interpretation of data using p values

 

5. Illustration of a well-developed understanding of interpretation of data using confidence intervals and p values 

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