Carib. Std Module III
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Transcript of Carib. Std Module III
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What is a Research ?
The systematic investigation/enquiry
into and study of materials and
sources in order to establish factsand reach new conclusions.
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What is a Reasearch?
work undertaken in a systematic way
in order to increase the stock of
knowledge, including knowledge ofman, culture and society, and the use
of this stock of knowledge to devise
new applications.
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What is a Reasearch?
A systematic process of
collecting and analyzing data
for a specific purpose.
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What is meant by Systematic Enquiry
or Investigation.
Methodical approach repeatable and
learnable through a step by step procedure.
having, showing, or involving a system,
method, or plan.
arranged in or comprising an ordered system.
http://www.businessdictionary.com/definition/procedure.htmlhttp://dictionary.reference.com/browse/systemhttp://dictionary.reference.com/browse/systemhttp://dictionary.reference.com/browse/systemhttp://dictionary.reference.com/browse/systemhttp://www.businessdictionary.com/definition/procedure.html -
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Example of systematic research
Conceptualize problem Statement
Employ a literature review
Use sampling procedure Use data collection strategies
Analyze data statistically
Discuss finding etc
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What is the purpose of a Research?
Validate a theory
Add New Knowledge to existing body of
knowledge
Solve problem
exploration, description, and explanation
Establish facts Reach new conclusions
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Types of Research
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Types of Research
ARCHIVAL RESEARCH: an examination of
existing records of human activities.
Researchers often examines: old newspapers,
medical records, birth certificates, death
certificates, marriage certificates, reports,
books, diaries, letter, official documents etc.
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Types of Research
CASE STUDY: a process or record of research into
the development of a particular person, group, or
situation over a period of time. It involves testing,
interview, observation and investigation. OBSERVATION: researcher observes people as
they behave in the real world. The researcher
simply records what happens and does notintervene in the situation. This methods is mostly
used in anthropology and psychology.
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TYPES OF RESEARCH
SURVEYS: The survey is a non-experimental,
descriptive research method. Surveys can be
useful when a researcher wants to collect data
on phenomena that cannot be directly
observed (such as opinions on library
services).
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Types of surveys
There are two basic types of surveys: cross-sectional surveys and longitudinal surveys.
Cross-sectional surveys are used to gatherinformation on a population at a single point intime. for example a questionaire that collectsdata on how parents feel about Internet filtering,as of March of 1999. A different cross-sectionalsurvey questionnaire might try to determine the
relationship between two factors, likereligiousness of parents and views on Internetfiltering.
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Types of surveys
Longitudinal surveys gather data over a
period of time. The researcher may then
analyze changes in the population and
attempt to describe and/or explain them. The
three main types of longitudinal surveys are
trend studies, cohort studies, and panel
studies.
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SAMPLING
A sample is a subset of the populationbeing
studied. It represents the larger population
and is used to draw inferences about that
population. It is a research technique widelyused in the social sciences as a way to gather
information about a population without
having to measure the entire population.
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TYPES OF SAMPLING
There are several different types and ways of
choosing a sample from a population, from
simple to complex. There are two broad
categories
1. Non-probability sampling
is a sampling technique where the samples are
gathered in a process that does not give all theindividuals in the population equal chances of being
selected. For example:
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Purposive or Judgmental Sample.
A purposive, or judgmental, sample is one that isselected based on the knowledge of a populationand the purpose of the study. For example, if aresearcher is studying the nature of school spirit
as exhibited at a school pep rally, he or she mightinterview people who did not appear to becaught up in the emotions of the crowd orstudents who did not attend the rally at all. In this
case, the researcher is using a purposive samplebecause those being interviewed fit a specificpurpose or description.
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Snowball Sample.
A snowball sample is appropriate to use in research when the
members of a population are difficult to locate, such as homeless
individuals, migrant workers, or undocumented immigrants. A
snowball sample is one in which the researcher collects data on the
few members of the target population he or she can locate, thenasks those individuals to provide information needed to locate
other members of that population whom they know. For example, if
a researcher wishes to interview undocumented immigrants from
Mexico, he or she might interview a few undocumented individuals
that he or she knows or can locate and would then rely on thosesubjects to help locate more undocumented individuals. This
process continues until the researcher has all the interviews he or
she needs or until all contacts have been exhausted.
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Quota Sample
A quota sample is one in which units are selected into asample on the basis of pre-specified characteristics sothat the total sample has the same distribution ofcharacteristics assumed to exist in the population being
studied. For example, if you a researcher conducting anational quota sample, you might need to know whatproportion of the population is male and whatproportion is female as well as what proportions ofeach gender fall into different age categories, race or
ethnic categories, educational categories, etc. Theresearcher would then collect a sample with the sameproportions as the national population.
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Probability Sampling Techniques
Probability sampling is a sampling technique
where the samples are gathered in a process
that gives all the individuals in the population
equal chances of being selected.
For example :
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Simple Random Sample
The simple random sample is the basic sampling methodassumed in statistical methods and computations. Tocollect a simple random sample, each unit of the targetpopulation is assigned a number. A set of random
numbers is then generated and the units having thosenumbers are included in the sample. For example, letssay you have a population of 1,000 people and youwish to choose a simple random sample of 50 people.First, each person is numbered 1 through 1,000. Then,
you generate a list of 50 random numbers (typicallywith a computer program) and those individualsassigned those numbers are the ones you include inthe sample.
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Systematic Sample.
In a systematic sample, the elements of the populationare put into a list and then every kth element in the listis chosen (systematically) for inclusion in the sample.For example, if the population of study contained 2,000
students at a high school and the researcher wanted asample of 100 students, the students would be put intolist form and then every 20th student would beselected for inclusion in the sample. To ensure againstany possible human bias in this method, the researcher
should select the first individual at random. This istechnically called a systematic sample with a randomstart.
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Stratified Sample.
A stratified sample is a sampling technique in whichthe researcher divided the entire target population intodifferent subgroups, or strata, and then randomlyselects the final subjects proportionally from the
different strata. This type of sampling is used when theresearcher wants to highlight specific subgroupswithinthe population. For example, to obtain a stratifiedsample of university students, the researcher wouldfirst organize the population by college class and then
select appropriate numbers of freshmen, sophomores,juniors, and seniors. This ensures that the researcherhas adequate amounts of subjects from each class inthe final sample.
http://sociology.about.com/od/Types-of-Samples/a/Stratified-Sample.htmhttp://sociology.about.com/od/S_Index/g/Subgroup.htmhttp://sociology.about.com/od/S_Index/g/Subgroup.htmhttp://sociology.about.com/od/Types-of-Samples/a/Stratified-Sample.htm -
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Cluster Sample.
Cluster sampling may be used when it is eitherimpossible or impractical to compile an exhaustive listof the elements that make up the target population.Usually, however, the population elements are already
grouped into subpopulations and lists of thosesubpopulations already exist or can be created. Forexample, lets say the target population in a study waschurch members in the United States. There is no list ofall church members in the country. The researcher
could, however, create a list of churches in the UnitedStates, choose a sample of churches, and then obtainlists of members from those churches.
http://sociology.about.com/od/Types-of-Samples/a/Cluster-Sample.htmhttp://sociology.about.com/od/Types-of-Samples/a/Cluster-Sample.htm