Sample Size


Sample Size 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?

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Why you need to calculate Sample size important?

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 you need to calculate Sample size important?

Statistical sample size calculation mainly helps to generate how much sample/data needed to make an accurate decision on research. Sample size calculations can help you determine how large sample size you need to create to achieve accurate statistical outcomes. The purpose of power analysis and sample size calculation is to determine if you will have enough power and determining the appropriate sample size, hence, utilizing too large (may waste money, resources and time) or too small (inaccurate result) may be avoided. Without sample calculations, you will not be assured that if your proposed sample size is too large or small.

For example, when comparing two-target population and reached a sample size less than 30, we use one of the statistical analysis test /power analysis –T-test. Similarly, if the sample size is >30, then we utilize the z-test. In general, if the targeted population size is smaller one, then we use a bigger sample size, and if the targeted population size is larger one we require a smaller sample size. In addition, sample size calculation would also differ with different margins of errors.

Sample Size Calculation for Your Ph.D. Research – One Stop Solution for all your Academic Research needs

Ph.D. Assistance statistician, expert in sample size calculations, will apply the various statistical techniques and formulas in order to get accurate sample size calculations. There are numerous sample size calculations, but it varies from one technique to another. However, Ph.D. Methodology experts at Ph.D. Assistance, look at several criteria, while determining the appropriate sample size for your study.

  • Level of precision,
  • Level of confidence or risk,
  • Degree of variability in the attributes being measured (prevalence)
  • External validity


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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

Further, we also look out for

The Level of Precision- sampling error
  • range - the true value of the population estimated to be.
  • Expressed in percentage points (e.g., ±5 percent).
The Confidence Level

Degree of Variability

  • the distribution of attributes the more heterogeneous a population, the larger the sample size while the less variable (more homogenous), the smaller the sample size

Approached to determine the size of your sample

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FAQ


1. What services do you offer under sample size calculation?
We provide a wide variety of services such as Prior power analysis, sample size, alpha, beta, and effect size, Post-hoc power analysis, statistical power analysis, The Level of Precision and Degree of variability calculation.
2. What are the qualifications of the writers you employ?
Only experienced and certified professionals are employed at our Ph.D. Assistance academic lab. All of our academic writers hold Master and Ph.D. degree and have at least 5 years of writing experience. Each academic writer has its own specialization; it helps to us to allocate the most appropriate writer according to your discipline. You will assure that you will get only subject matter expertise, i.e., every order of thesis providing only a relevant academic background. Please check for Ph.D. Dissertation writing work process below: After selecting a research topic, writers start working on the paper; Chapter wise send through the mail. After completing the work, the writer will format the paper according to your specification or latest university-specific guidelines. Then, the work is passed to Quality Assurance Department (QAD) and is meticulously checked for plagiarism. In additional, you will get the QAD report and plagiarism report**
3. Can I talk to my writer?
Yes, you can talk with our academicians through company Skype, mail, whats up chat messages and call. Indeed, you can directly communicate with the assigned writers after fixing an appointment with our project coordinators and arrange everything for you.
4. Is your pricing reasonable?
Pricing at Ph.D. Assistance is reasonable when compared to others, but the quality of writing is unmatchable. We also enable seasonal discount plan and referral offers for our clients. Please conduct our project coordinators for more details.
5. Do you charge any extra amount for revisions?
No. We are not charging extra amount for any revision of the document. We do any numbers of revisions until our customers get satisfied. To know more details about revisions and other inquiries. Please feel free to conduct our project coordinators or request a call back on the website to get the call back from experts. You may also please read our terms and conditions while placing an order.
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