By the end of this presentation you should be able to:
Describe the justification of qualitative Sampling Techniques
Understand different types of Sampling Techniques
TOPICS:
I. Definition of Qualitative Research
II. Purpose of Qualitative Research
III. Characteristics of Qualitative Research
IV. Strengths of Qualitative Research
V. Weaknesses of Qualitative Research
VI. Kinds of Qualitative Research
You can Watch here: https://www.youtube.com/watch?v=a-PstCR7RTQ&t=803s
Practical Research 1 for SHS
Lesson 1: The Importance of Research in Daily life
Content
1. Differentiate Inquiry from Research
2. Share research experiences and knowledge
3. Explain the importance of research in daily life.
You can watch here https://www.youtube.com/watch?v=bY8lFadJia8&t=1357s
By the end of this presentation you should be able to:
Describe the justification of qualitative Sampling Techniques
Understand different types of Sampling Techniques
TOPICS:
I. Definition of Qualitative Research
II. Purpose of Qualitative Research
III. Characteristics of Qualitative Research
IV. Strengths of Qualitative Research
V. Weaknesses of Qualitative Research
VI. Kinds of Qualitative Research
You can Watch here: https://www.youtube.com/watch?v=a-PstCR7RTQ&t=803s
Practical Research 1 for SHS
Lesson 1: The Importance of Research in Daily life
Content
1. Differentiate Inquiry from Research
2. Share research experiences and knowledge
3. Explain the importance of research in daily life.
You can watch here https://www.youtube.com/watch?v=bY8lFadJia8&t=1357s
SAMPLING METHODS ( PROBABILITY SAMPLING).pptxPoojaSen20
SAMPLING
SAMPLING IS THE PROCESS OF SELECTING A SMALL NUMBER OF ELEMNTS FROM A LARGER DEFINED TARGET GROUP OF ELEMNTS SUCH THAT THE INFORMATION GATHERDED FROM THE SMALL GROUP WILL ALLOW JUDEN=MENT TO BE MADE ABOUT THE LARGER GROUPS.
IN SIMPLE WORDS A PROCEDURE BY WHICH SOME MEMBERS OF A GIVEN POPULATION ARE SELECTED AS REPRESENTATION OF THE ENTIRE POPULATION .
PURPOSE OF SAMPLING
To gather data about the population in order to make an inference that can be generalized to the populations. .
PROBABILITY SAMPLING
Probability sampling is a type of sampling where each member of the population has a known probability of being selected in the sample .
In probability sampling some elements of randomness is involved in selection of units ,so that personal judgement or bias is not there.
NON- PROBABILITY SAMPLING
Non- Probability sampling is a type of sampling where each member of the population does not have known probability of being selected in the sample.
In this each member of the population does not get equal chance of being selected in the sample.
This sampling methods is adopted when each member of the population can not be selected or the researcher deliberately wants to choose member selectively
4. Sampling: Basic Concepts: Defining the Universe, Concepts of Statistical Population, Sample, Characteristics of a good sample. Sampling Frame, determining the sample frame, Sampling errors, Non Sampling errors, Methods to reduce the errors, Sample Size constraints, Non Response. Probability Sample: Simple Random Sample, Systematic Sample, Stratified Random Sample, Area Sampling & Cluster Sampling. Non Probability Sample: Judgment Sampling, Convenience Sampling, Purposive Sampling, Quota Sampling & Snowballing Sampling methods. Determining size of the sample: Practical considerations in sampling and sample size, (sample size determination formulae and numerical not expected)
Qualitative sampling design is a key step in qualitative research, especially for rural development, researchers
this document provides the necessary details on the procedures to follow
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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.
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For more information, visit-www.vavaclasses.com
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Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
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3. What is sample of the study?
– This describes the target population and the
sample frame.
-It specifies the sampling technique used and
how the sample size is determined.
4. What is sample?
• Is any subset of elements drawn by
some appropriate method from a defined
population
• A representative part or single item from
a larger whole or group especially when
presented for inspection or shown as
evidence of quality.
• A finite part of a statistical population
whose properties are studied to gain
information about the whole
5. What is sampling?
– The act or process or selecting a suitable representative
part of population for the purpose of determining
parameters or characteristics of the whole population
6. BASIS FOR COMPARISON PROBABILITY SAMPLING NON-PROBABILITY SAMPLING
Meaning Probability sampling is a sampling
technique, in which the subjects of
the population get an equal
opportunity to be selected as a
representative sample.
Nonprobability sampling is a method
of sampling wherein, it is not known
that which individual from the
population will be selected as a
sample.
Alternately known as Random sampling Non-random sampling
Basis of selection Randomly Arbitrarily
Opportunity of selection Fixed and known Not specified and unknown
Research Conclusive Exploratory
Result Unbiased Biased
Method Objective Subjective
Inferences Statistical Analytical
Hypothesis Tested Generated
Comparison Chart
8. 1. CONVENIENCE SAMPLING
– This is a method of selecting samples that are available and
are capable of participating in a research study on a current
issue.
– This method is sometimes called haphazard or availability
sampling
9.
10. 2. SNOWBALL SAMPLING
– Is a technique where the researcher identifies a key informant
about a research of interest and then ask that respondents to
refer or identify another respondent who can participate in the
study.
11.
12. 3. PURPOSIVE SAMPLING
– is sometimes called judgemental or subjective sampling
employs a procedure in which samples are chosen for special
purpose
– It may involve members of a limited group of population.
13.
14. 4.QOUTA SAMPLING
– Is gathering a representative sample from a group based on
certain characteristics of the population chosen by
researcher. Usually the population is divided into specific
groups.
17. 1.Random sampling
• Is a method by which every element of a population has
a chance of being included in a sample
• That is, the elements that compose the sample are
taken without purpose,
• The more elements in the sample, the better the
chances of getting a true picture of the whole
population.
18. 2.Simple random sampling
– Is a procedure where a sample is selected in such
a way that every element is a likely to be selected
as any other element from the population.
19. Student x Student x Student x Student x
1₃ - 88 12₄ - 90 23₃ - 90 34₂ - 85
2₄ - 85 13₄ - 88 24₄ - 87 35₄ - 89
3₁ - 90 14₂ - 88 25₃ - 88 36₃ - 89
4₁ - 85 15₄ - 90 26₂ - 95 37₃ - 89
5₃ - 86 16₃ - 85 27₄ - 88 38₁ - 92
6₂ - 90 17₂ - 85 28₄ - 91 39₄ - 89
7₃ - 88 18₄ - 86 29₁ - 92 40₁ - 85
8₂ - 92 19₄ - 87 30₃ - 87 41₄ - 90
9₄ - 90 20₁ - 85 31₃ - 92 42₄ - 89
10₁ - 92 21₃ - 85 32₄ - 88 43₁ - 88
11 - 86 22₂ - 85 33₂ - 90 44₁ - 93
45₃ - 86
E
X
A
M
P
L
E
Legend: Subscript stands for year level, 13 means student number 1, third year;
424 means student number 42, fourth year.
20. 3. Systematic random sampling
• Is a sampling procedure with a random start.
• Systematic sampling is a type of probability sampling method
in which sample members from a larger population are
selected according to a random starting point and a fixed,
periodic interval. This interval, called the sampling interval, is
calculated by dividing the population size by the
desired sample size.
22. 4.Stratified random sampling
• Is a specially used when the population can naturally be
classified into groups or strata.
• Stratified random sampling is a method of sampling that
involves the division of a population into smaller groups
known as strata. In stratified random sampling, or
stratification, the strata are formed based on members'
shared attributes or characteristics.
26. What is a research locale?
– This discusses the place or setting of the study.
– It describes in brief the place where the study is
conducted.
– Only important features which have the bearing on the
present study are included.
– Shows the target population.
29. • The study was conducted at Far Eastern University, this
place was selected for knowing the efficiency of the said
study among nursing students and for them to feel
comfortable, this study has been implemented on the 4th
year Bachelor of Science in nursing students, these study
has tested the effectiveness of music therapy while
reviewing their lessons before taking their exams. This
study helped researchers found out how effective it is for
students,.
RESEARCH
LOCALE