Methodology case study on Extraneous variables
Order ID:89JHGSJE83839 Style:APA/MLA/Harvard/Chicago Pages:5-10 Instructions:
Methodology case study on Extraneous variables
Methodology
Extraneous variables
In this research, in finding that extraneous variable are likely to have some negative impacts on my research through the distortion of the findings. The general inferences made from the findings
in this work would not be I awe of the pattern that was initially expected at the time of planning this research. The participants in this research would be the main source of the extraneous
variables. Any variation in the answers given by the participants of the surveys in the population sample is to be the main source of the errors observed in this research work. To limit these
errors, it would be essential to use the random allocation of the issues to the responses that are already predetermined for data collection (Brown, 2002).
Methodology case study on Extraneous variables
Personal perception of what constitutes to be a challenge is another important factor that is deemed to be an influencer of extraneous variables. In this manner the perception of what
constitutes to a problem for one person may be different from another person, for instance, one nurse may report lack of proper planning in the healthcare is a problem while another one may
not report such as a problem. This hurts the findings, and the inferences made. However, this can be reduced by making the environment as natural as possible to have the best responses.
Description of instrument
For this research, the major instrument that I intend to use is the questionnaire. This instrument is appropriate in gathering the best responses from the nurses on the problem experienced while conducting their mandate. However, this instrument will not be used in isolation; it will be supplemented by another instrument, especially in areas where it cannot give the best data.
Validity and reliability estimates
For this research, the validity of this approach is ascertained through the use of the exact questions that are presented to the nurses across all the strata in Miami where this research seeks to
garner data from the nurses as well as other population that may have crucial information that could help in answering the research question. Here there are underlying factors through which
the findings of from the research findings that may be correlated to establish whether there is any relationship between them (Maltby et al., 2014).To ascertain the reliability of the estimate, the
consistency score would be very important as more consistency findings will indicate that the estimates were indeed made precisely. This is a good indicator that shows that the results or the
conclusions made will help answer the research questions.
Description intervention.
For this research, the intervention that is deemed preferable is the purposeful implementation of the change strategies. To get reliable findings, it is essential to use simple approaches in the standing of the stepwise through involving all the subjects. This is an essential tool that enhances inclusivity and therefore giving a wide range of data that is important for answering the research question.
Data collection procedures
For this research, the primary data collection methods will be through questionnaires that will be sent to participating nurses in the survey to provide the needed data that will be processed to answer the question at hand. Through this data collection method, the nurses will have an opportunity to give information about the issues that they may be facing in their profession.
Data Analysis Plans
A data analysis is a layout of how you are going to manage and analyze your research data. A data analysis plan is meant to show what your proposal is all about. A qualitative data analysis is
essentially about detection, and the tasks of defining, categorizing, theorizing, explaining, exploring and mapping are fundamental to the analyst’s role (Ritchie, & Spencer, 2002). An excellent
analysis plan is an indication that your research proposal is well formulated. A data analysis should show;
- The data you will collect – the outcomes, the independent variables and the correlated clusters.
- How to classify data, how data will be measured and show the missing data.
- Analysis of the data – hypothesis and research design
- Sample size and the possible findings and
- Data resources such as hardware and software.
Data Analysis for Descriptive Statistics
Methodology case study on Extraneous variables
Descriptive statistics as the name suggests give descriptions of a variable. These statistics provide a summary of the chosen data through graphing of the chosen data. This data may include, the difference between values, the mean of the values and the category of the values. Data analysis for descriptive statistics includes numeric and graphic data summaries.
Pie charts, bar charts and histograms are good examples of descriptive statistics. They help visualize and analyze the data in a simple way. The tools of descriptive statistics include;
- Central tendency – mean and median
- Dispersion – cluster of the values
- Skewedness – distribution of values
Data Analysis for Inferential Statistics
Inferential simply implies making inferences from the data collected. Inferential statistics measure the existing difference between two variables or existing two subgroups of variables. Inferential statistics are used to make comparisons and draw conclusions from the study data (Simpson, 2015). These statistics allows the researcher come up with conclusions regarding another variable following the data acquired from the research. Tools for inferential statistics include;
- Hypothesis testing
- Regression analysis and
- Confidence interval
Methodology case study on Extraneous variables
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
You Can Also Place the Order at www.collegepaper.us/orders/ordernow or www.crucialessay.com/orders/ordernow Methodology case study on Extraneous variables