Power Calculation made simple through Ph.D. Assistance
If your study only has a 25% chance of getting a statistically significant result, would you proceed with the study? Or would like to know in advance the minimum sample size to detect the decent effect?
Our Power Analysis would help you to answer those questions.
Power calculation helps to simplify the complete research study and help to find the hypothesis at the early stage of your research
Finding the proper statistical power analysis is a significant part of the Quantitative study and it helps to decide how much sample size is to be taken for calculating in the statistical test to judge more reliable and accurate variables. Our team of statistician calculates power and sample size based on the effect size, population size, the alpha significance criterion (α), statistical power or the chosen or implied beta (β).
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Why Calculating power analysis is important?
A power analysis can assist you to determine the size of sample you need to create to achieve accurate statistical outcomes. The purpose of power analysis and sample size calculation is to determine the sufficiency of power as well as to determine the appropriate sample size, so that utilizing too large (may waste money, resources and time) or too small (inaccurate result) may be avoided. Without power calculations, it would be challenging to assume the sample size
Ph.D. Assistance to calculate Power
Estimating statistical power and determining sample size would be a bit tricky and required skills and experience to run the same. At Ph.D. Assistance, we help you to calculate power and sample size your study.
The sample size determination at Ph.D. Assistance are conducted with the help of power analysis. It is an important factor to have certain information. This information is needed for both calculating sample size and statistical test that you plan to use for the sample size calculations. Apart from the statistical test, you need to know the appropriate effect to determine sample size.
When designing a quantitative study, the following questions usually come up
- How many participants do I need in my research study sample
- Which test and measure should I utilize for data analyses?
- Will I have adequate power with the number of participants chosen?
Especially statistical power analysis approach permits the quantitative researcher to decide:
- How many sizes of the sample are required to enable statistical judgment that is more reliable and accurate?
- How appropriate is the selected statistical test to detect the effects of a given size based on circumference?
Ph.D. Research design – From the Top Class Universities across the Globe
Ph.D. Experts have many years of experience in research methodology field in UK and US with profound knowledge of their disciplines and years of experience working with students of world-class Universities. We firmly believe working in the stress-free environment and make sure the same for all your students seeking our profession. Our in-depth knowledge of the research subject, meticulous planning, organizing and presentation Skills, 100% client commitment has always been handy in completing all our student’s research projects well ahead of the deadline.
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Ph.D. Sample size and Power Analysis features
Different types of Statistical power analysis offered at Ph.D. Assistance.
There are different types of power analysis:
- Prior power analysis - This analysis is implemented before the study is conducted
- Post-hoc power analysis –This analysis is executed after the study is conducted
In this analysis, three major factor like sample size, alpha, beta and effect size can be calculated.
- Alpha (α) - Rejection of the correct null hypothesis [Probability of Type I Errors]
- Beta (β) - Acceptance of a false null hypothesis [Probability of Type II Errors]
- Effect size - Measure of the strength of the relationship between two variables
Apart from this factor, G*Power is the program that assists you to conduct a power analysis and select a suitable sample size. G*Power analytics tool performs high accuracy statistical power analysis for general statistical tests such as F-tests, T-tests, and Chi-Square analyses. Today, growing acceptances of the importance of the power analysis and sample size calculations is required in the proper design of a Quantitative study.
There is numerous power analysis, and sample size calculations that are available such as:
- Multiple regression
- Logical Regression
- Chi Square
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Ph.D. Assistance has established a well-designed process and fixed timeline to complete the task. Our expert extremely meticulous on each element like what to include/exclude, purpose, structure, Discipline-specific sentence, and stylistic elements. Our research writing team is meticulously planned after taking into consideration the numerous tasks and resources involved in the different stages of your writing. After your confirmation with our admin team will appoint a dedicated subject expert from your research field. After that, we arrange a conference call or one-one discussion with an expert, to discuss the technicalities of the project, timeline, and deliverables.
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We not only deliver the work that you ordered but also we take one step forward to ensure that you are aware of reference materials used in the research work. Every article whether a journal article, textbook, PhD dissertation, translated works, newspaper articles, dictionary, or web pages, lectures (usually includes speaker name, date, name and the location) encyclopaedia entries, legal or historical text, PDFs, PPTs, YouTube Videos, annual reports and many more– will be shared to the research scholar for future reference. On a special request, we also mark / highlight the articles that are most important for the student to read and understand. Additional reference materials will be shared via zipping file through Google drive or drop box so you can use it again during the viva or any other process.
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