Sampling Quantitative Techniques For Data analysis


At Statswork, our experts help you to identify right sampling technique for your research work.
Sampling:
Sampling is a significant process in your business research or your academic research that plays a vital role in simplifying your complete Data Collection work. Samples are extracting from the population. Hence, the sample has the features of the population. Samples are reduced based on time and cost. Based on the theorem, it is noted that the ‘Sample mean is an unbiased estimate of the population mean’. Our Statswork experts are well aware of the sampling techniques prevalently used and we suggest you the best sampling method for your study.


Several types of sampling techniques are available as follows:

Random Sampling:
This is the easiest form of probability technique. In this method, each and every respondent will get equal chances. However, if the target population is high then it is very difficult to define the exact sample size (Saunders et al., 2003).
Systematic sampling:
This method is commonly referred to as the Nth name selection method. In this method, each and every Nth record can be selected from the target population (Saunders, 2003).

Stratified sampling:
Based on the characteristics, the research will classify the research population. After that, the participants will be selected by the researcher (Saunders, 2003).
Convenience sampling:
In this method, a subset of participants will be selected by the researcher due to time and cost constrictions. This method often assumes that the target population is represented by the subset of the population. In this method, subjects with convenient accessibility are generally selected by the researcher (Saunders 2003).


Comments

Post a Comment

Popular posts from this blog

Foundations Of Public Policy Research And Primary Data Collection Methods — Statswork

Image
Public policies can be defined as the decision taken by the government in order to achieve certain goals and objectives formulated for the welfare of its people. Implementing and formulating the policies decided are based on a properly oriented pattern. In other words, the associated government agencies should be able to observe a well-defined relation between the policies implemented and formulated in order to decide the course of their activities (Peters, 2015). The following points further emphasize the meaning and characteristics of public policy. 1. Goal-oriented: The public  policies  defined by different organizations are formulated on the basis of a certain goal or are planned to keep in mind a particular goal which will be beneficial for the people of the country. These policies illustrate the different programs of the government and its concern towards different segments (Pierce, Peterson, & Hicks, 2017). 2. Public policies also reflect the decisions and th...
Read more

Upgrade Your Research Quality with Meta Analysis Expertise

In academic and scientific research, drawing meaningful conclusions from multiple studies can be a challenge—especially when results vary. That’s where Meta Analysis Research becomes essential. It enables researchers to combine evidence across studies using rigorous systematic literature review methods and extract robust, reproducible insights. Statswork supports UK-based scholars, institutions, and PhD candidates with expert-driven, GDPR-compliant data processing and statistical strategies that align with PRISMA , PICO , and GRADE frameworks. Our services cover everything from data collection coding management to meta-regression , helping you meet NHS research standards while improving publication success. Importance of Data Collection in Academic Research Reliable analysis starts with high-quality, ethically gathered data. At Statswork, we provide full-spectrum support for primary data collection in the UK , including surveys , structured interviews , and online data collection...
Read more

Driving Innovation: Leveraging Focus Groups for Strategic Decision-Making

Image
  Focus groups are pivotal in qualitative research, offering a dynamic platform for gathering in-depth insights from selected participants on specific topics. This method involves interactive discussions facilitated by a skilled moderator, allowing participants to share their opinions, experiences, and perceptions openly. Unlike individual interviews or surveys, focus groups capitalize on group dynamics, enabling participants to build upon each other's ideas and explore diverse viewpoints collaboratively. Advantages of Face-to-Face Data Collection 1. Enhanced Depth : Face-to-face interactions foster a conducive environment for deep exploration of topics. Participants can articulate their thoughts more freely, providing comprehensive insights that may be nuanced or multifaceted. 2. Non-verbal Cues : Beyond verbal responses, face-to-face settings capture non-verbal cues such as body language and facial expressions. These cues offer additional context to responses, enriching the unde...
Read more