Probability Sampling and Types by Selbin Babuselbinbabu1
The presentation will cover probability sampling and all the types of probability sampling like Random sampling , systematic random sampling, strtified random sampling, cluster random sampling and multi stage sampling.
Probability Sampling and Types by Selbin Babuselbinbabu1
The presentation will cover probability sampling and all the types of probability sampling like Random sampling , systematic random sampling, strtified random sampling, cluster random sampling and multi stage sampling.
This was a presentation that was carried out in our research method class by our group. It will be useful for PHD and master students quantitative and qualitative method. It consist sample definition, purpose of sampling, stages in the selection of a sample, types of sampling in quantitative researches, types of sampling in qualitative researches, and ethical Considerations in Data Collection.
This was a presentation that was carried out in our research method class by our group. It will be useful for PHD and master students quantitative and qualitative method. It consist sample definition, purpose of sampling, stages in the selection of a sample, types of sampling in quantitative researches, types of sampling in qualitative researches, and ethical Considerations in Data Collection.
Non- Probability Sampling & Its MethodsArpit Surana
A detailed explanation of non-probability sampling and its methods have been covered. There are 4 types of non- probability sampling methods:
1. convenience sampling
2. purposive sampling
3. quota sampling (both controlled and uncontrolled)
4. snowball sampling (all 3 ways of performing)
Meaning with adequate examples, pros and cons have been covered
For and query or further information, Kindly contact:
Arpit Surana
https://www.linkedin.com/in/arpitsurana116/
arpitsurana116116@gmail.com
Population and Sampling Techniques.pptxDrHafizKosar
The first step in the process of collecting quantitative data is to identify the people and places you plan to study. This involves determining whether you will study individuals or entire organizations (e.g., schools) or some combination. If you select either individuals or organizations, you need to decide what type of people or organizations you will actually study and how many you will need for your research. These decisions require that you decide on a unit of analysis, the group and individuals you will study, the procedure for selecting these individuals, and assessing the numbers of people needed for your data analysis.
Identify Your Unit of Analysis
Who can supply the information that you will use to answer your quantitative research questions or hypotheses? Some possibilities might be students, teachers, parents, adults, some combination of these individuals, or entire schools. At this early stage in data collection, you must decide at what level (e.g., individual, family, school, school district) the data needs to be gathered. This level is referred to as the unit of analysis.
In some research studies, educators gather data from multiple levels (e.g., individuals and schools), whereas other studies involve collecting data from only one level (e.g., principals in schools). This decision depends on the questions or hypotheses that you seek to answer. Also, the data for measuring the independent variable may differ from the unit for assessing the dependent variable. For example, in the study of the impact of adolescent aggression on school climate, a researcher would measure the independent variable, adolescent aggression, by collecting data from individuals while measuring the dependent variable, school climate, based on data from entire schools and their overall climates (e.g., whether students and teachers believe the school curriculum supports learning).
If Faiza wants to answer the question “Why do students carry weapons in high school?” what unit of analysis will she study? Alternatively, if she wanted to compare answers to the question “Why do students carry weapons in rural high schools and urban high schools?” what two types of units of analysis will she study?
Specify the Population and Sample
If you select an entire school to study or a small number of individuals, you need to consider what individuals or schools you will study. In some educational situations, you will select individuals for your research based on who volunteers to participate or who is available (e.g., a specific classroom of students). However, those individuals may not be similar (in personal characteristics or performance or attitudes) to all individuals who could be studied. A more advanced research process is to select individuals or schools who are representative of the entire group of individuals or schools.
Sampling - Types, Steps in Sampling process.pdfRKavithamani
Sampling is a technique of selecting individual members or a subset of the population to make statistical inferences from them and estimate the characteristics of the whole population. Different sampling methods are widely used by researchers in market research so that they do not need to research the entire population to collect actionable insights.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
2024.06.01 Introducing a competency framework for languag learning materials ...
Non probability sampling
1. Prepared by;
Abdul Shafwan T H
2nd M.A IR&PS
Central University of Kerala
2. Sampling
Measuring a small portion of something and then making
a general statement about the whole thing.
Process of selecting a number of units for a study in such
a way that the units represent the larger group from which
they are selected.
3. Why We Need Sampling?
Sampling makes possible the study of a large, (different
characteristics) population.
Sampling is for economy
Sampling is for speed.
Sampling is for accuracy.
Sampling saves the sources of data from being all
consumed.
4. General Types of Sampling
1. Probability sampling
2. Non-probability sampling
5. Non-probability sampling
Unequal chance of being included in the sample (non-random)
Non random or non - probability sampling refers to the sampling process
in which, the samples are selected for a specific purpose with a pre-determined
basis of selection.
The sample is not a proportion of the population and there is no system in
selecting the sample. The selection depends upon the situation.
No assurance is given that each item has a chance of being included as a sample
There is an assumption that there is an even distribution of characteristics within
the population, believing that any sample would be representative.
6. Types of Non-Probability Sampling
Judgment or purposive or deliberate sampling
Convenience sampling
Quota sampling
Snow Ball Sampling
7. 1. Judgment or purposive or deliberate
sampling
In this method, the sample selection is purely based on the
judgment of the investigator or the researcher. This is
because, the researcher may lack information regarding the
population from which he has to collect the sample.
Population characteristics or qualities may not be known,
but sample has to be selected.
In this method of sampling the choice of sample items
depends primarily on the judgment of the researcher. In
other words, the researcher determines and includes those
items in the sample which he thinks are most typical of the
universe with regard to the characteristics of research
project.
8. For example, suppose 100 boys are to be selected from
a college with 1000 boys. If nothing is known about
the students in this college, then the investigator may
visit the college and choose the first 100 boys he meets.
Or he may select 100 boys all belonging to III Year. Or
he might select 25 boys from Commerce course, 25
from Science courses, 25 boys from Arts courses and 25
from Fine arts courses. Hence, when only the sample
size is known, the investigator uses his discretion and
select the sample.
9. The use of judgment sampling is justified by following premises:
If there are a small number of sampling units is in the universe,
judgment sampling enables inclusion of important units.
Judgment stratification of population helps in obtaining a more
representative sample in case research study wants to look into
unknown traits of the population.
Judgment sampling is a practical method to arrive at some solution to
everyday business problems.
Limitations:
The judgment sampling involves the risk that the researcher may
establish conclusions by including those items in the sample which
conform to his preconceived ideas.
There is no objective way of evaluating the reliability of sample results.
10. 2. Convenience sampling
Convenience sampling is commonly known as unsystematic, accidental
or opportunistic sampling. According to this procedure a sample is
selected according to the convenience of the investigator.
In this method of sampling the choice of sample items depends
primarily on the judgment of the researcher. In other words, the
researcher determines and includes those items in the sample which he
thinks are most typical of the universe with regard to the
characteristics of research project.
A type of non probability sampling which involves the sample being
drawn from that part of the population which is close to hand. That is,
readily available and convenient.
For example, suppose 100 car owners are to be selected. Then we may
collect from the RTO's office the list of car owners and then make a
selection of 100 from that to form the sample.
11. A convenience sampling may be used in the following
cases:
i) When universe is not well defined,
ii) When sampling unit is not clear, and
iii) When complete list of the source is not available.
12.
13. 3. QUOTA SAMPLING
In this method, the sample size is determined first and then quota is
fixed for various categories of population, which is followed while
selecting the sample.
In this method the quota has to be determined in advance and
intimated to the investigator. The quota for each segment of the
population may be fixed at random or with a specific basis. Normally
such a sampling method does not ensure representativeness of the
population.
Example: - Suppose we want to select 100 students, then we might say
that the sample should be according to the quota given below : Boys
50%, Girls 50% Then among the boys, 20% college students, 40% plus
two students, 30% high school students and 10% elementary school
students. A different or the same quota may be fixed for the girls.
14. MERITS OF QUOTA SAMPLING
Reduces cost of preparing sample and field work, since ultimate
units can be selected so that they are close together.
Introduces some stratification effect.
DEMERITS OF QUOTA SAMPLING
Introduces bias of investigator is not involved at any stage, the
errors of the method cannot be estimated by statistical
procedures.
Since random sampling is not involved at any stage, the errors of
the method cannot be estimated by statistical procedures. Quota
sampling is most commonly used in marketing survey and
election polls.
15. 4. SNOWBALL SAMPLING
It refers to Identifying someone who meets the criteria
for inclusion in the study.
Selection of additional respondents is based on
referrals from the initial respondents.