15 HOW TO WRITE
CHAPTER 3
CHAPTER 3: METHODS OF
RESEARCH AND PROCEDURES
Method of Research
The method of research are the
strategies, processes of data or
evidence for analysis in order to
uncover new information or create
better understanding of a topic.
The method of research used whether
historical, descriptive or experimental.
Descriptive Method of Research
 It is a fact-finding study with adequate and
accurate interpretation of the findings. It
describes what is. It describes with
emphasis what actually exist such as
current conditions, practices, situations, or
any phenomena.
 It is also a scientific method which involves
observing and describing the behavior of a
subject without influencing it in any way.
 A descriptive study is one in which information
is collected without changing the environment
(i.e., nothing is manipulated). It is used to obtain
information concerning the current status of the
phenomena to describe “what exist” with
respect to variables or conditions in a situation.
 Present trends, beliefs, public mind, their
viewpoint and attitudes, their effects or
development of new trends are described.
 Ex. Online Vs Modular classes; who performs
better in their academic performance.
Method of Collecting Data and
Development of the Research Instrument
Data collection tools refer to the
devices/instruments used to collect data, such
as a paper questionnaire or computer-assisted
interviewing system. Case studies, checklists,
interviews, observation sometimes, and surveys
or questionnaires are all tools used to collect
data.
Most used data collection methods and
tools
1. Interview – it is a face-to-face
conversation between two individuals with
the sole purpose of collecting relevant
information to satisfy a research purpose.
2. Questionnaires – it is the process of
collecting data through an instrument
consisting of a series of questions and
prompts to receive a response from
individuals it is administered to.
Development of the Instrument
 Developing a good instrument is the most important part of
conducting a high quality research study.
 Developing an instrument takes a lot of work and advanced
preparation. It is very important that the instrument has
been thoroughly critiqued, evaluated, and pilot tested by
the student, supervisor, and others before it is
administered for the actual study. Once the instrument has
been administered, it cannot be changed. Any problems with
the instrument after it has been administered will require the
student to completely redo the data collection process,
wasting considerable time and money. Therefore, researchers
must take great thought and care when developing their
instrument.
The Sampling Design
 it is the framework, or road map, that serves as the
basis for the selection of a survey sample and affects
many other important aspects of a survey as well.
 generally it refer to the technique used to select sample
units for measurement (e.g., select individuals from a
population or locations to sample within a study area).
Before sample design methods can be considered, it is
necessary to have thoroughly defined the population,
study area, sampling unit, and sampling objective. All of
these will have an impact on which sample design
methods are suitable.
Population
- the total number of people in the group you are
trying to study. If you are surveying your company, the
size of the population is the total number of
employees.
Sample
- is a selection of respondents chosen in such a
way that they represent the total population as good
as possible.
Margin of error
- a percentage that tells you how much you can
expect your survey results to reflect the views of the
overall population. The smaller the margin of error, the
closer you are to having the exact answer at a given
confidence level.
4 main Types of Probability Sample
1. Simple Random Sampling – every member
of the population has an equal chance of being
selected. Your sampling frame should include
the whole population.
2. Systematic Sampling – is similar to simple
random sampling, but it is usually slightly
easier to conduct. Every member of the
population is listed with a number, but instead
of randomly generating numbers, individuals
are chosen at regular intervals.
3. Stratified Sampling – involves dividing the
subpopulations that may differ in important
ways. It allows you draw more precise
conclusions by ensuring that every subgroup
is properly represented in the sample.
- to use this sampling method, you divide
the population into subgroups (called strata)
based on the relevant characteristic (e.g.
gender, age range, income bracket, job role).
4. Cluster Sampling ( Multistage Cluster
Sampling)
- it is used when the population is so big or
the geographical area of the research is so
large. The general procedure is to divide the
area or population into clusters or blocks and
then within the final cluster apply any of the
different methods of selecting a sample.
Statistical Treatment of Data
- is when you apply some form of statistical
method to a data set to transform it from a group of
meaningless numbers into meaningful output. It
involves the use of statistical methods such as:
Mean
Mode
Median
Regression
Conditional probability
Sampling
Standard deviation
Distribution range
Some guidelines in the selection and
application of statistical producers
1. Data should be organized using any or all of the following
depending upon what is desired to be known or what is to
be computed: talligram (tabulation table), ordered
arrangement of scores, score distribution, class (grouped)
frequency distribution, or scattergram.
2. When certain proportions of the population based on
certain variables such as age, height, income, etc. Are
desired to be known, frequency counts with their
frequency percent may be used. For further analysis,
cumulative frequencies (up and down) with their
respective cumulative frequency percent (up and down)
may also be utilized.
3. When the typical, normal, or average is desired
to be known, the measure of central tendency
such as the median, the mean or the mode
may be computed and used.
4. When the variables being studied are abstract
or continuous such that they cannot be counted
individually such as adequacy, efficiency,
excellence, extent, seriousness (of problems),
and the like, the weighted mean may be
computed and used if the average is desired to
be known.
5. When the variability of the population is
desired to be known, the measure of
variability such as the range, quartile
deviation, average deviation or the standard
deviation may be computed and used.
6. When the relative replacements of scores
or positions are desired to be known,
ranking, quartile or percentile rank may be
computed and used.
7. When the significance of the treat of reaction
or opinion of persons as a group toward a
certain issue, situation, value or thing is
desired to be known but in which there is a
neutral position, the chi-square of equal
probability, single group, is computed and
interpreted.
8. When the significance of the difference
between the reactions, or opinions of two
distinct groups in which there is a neutral
position is desired to be known, the chi-
square of equal probability, two-group, is
computed and used.
9. To determine how one variable varies with another,
the coefficient of correlation is computed, as for
instance, how the scores of a group of students in a
Mathematics test vary with the scores of the same
group of students in an English test. This is also
used to determine the validity of a test by correlation
between the two tests is known and known and a
prediction is to be made as to what score a student
gets in a second test after knowing his score in the
first, the so-called regression equation is to be
utilized.
10. If the significance of the difference between the
perceptions of two groups about a certain situation
is to be studied, the computation of the difference
between means is to be made.
11. To determine the relative effectiveness of the
different ways of doing things to which different
randomized groups are respectively exposed to
and only a post test is given to the different
groups, analysis of variance is appropriate to use.
If the four groups are given a given a pre-test and
post-test, the analysis of covariance is utilized.
12. To determine the effects of some variables upon a
single variable to which they are related, partial
and multiple correlations are suggested to be
used.
13. To determine the association between two
independent variables, the chi-square of
independence or chi-square of multiplication may
be used.
Indeed, there are lots of research
situations in which different statistical
procedures may or can be used and if the
researcher is not so sure that he is in the
right path, he better consult good statistical
books, or acquire the services of a good
statistician plus the services of a computer
especially if the statistical procedures are
complex.
QUESTIONS FOR STUDY
DISCUSSION
1. What topics are contained in chapter 3?
2. How do you describe your method of
research?
3. How is the selection and preparation of the
research instrument described?
4. How is the sampling design described?
5. Give the guidelines in the selection of
statistical procedure to be used.
PREPARED BY:
DANIEL M. AÑ0NUEVO
KENNY ROSE B. AÑ0NUEVO
LITO Z. AÑ0NUEVO
AMY A. MONTERO
IRIN REGIDOR
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptx

CHAPTER 15-HOW TO WRITE CHAPTER 3.pptx

  • 2.
    15 HOW TOWRITE CHAPTER 3 CHAPTER 3: METHODS OF RESEARCH AND PROCEDURES
  • 3.
    Method of Research Themethod of research are the strategies, processes of data or evidence for analysis in order to uncover new information or create better understanding of a topic. The method of research used whether historical, descriptive or experimental.
  • 4.
    Descriptive Method ofResearch  It is a fact-finding study with adequate and accurate interpretation of the findings. It describes what is. It describes with emphasis what actually exist such as current conditions, practices, situations, or any phenomena.  It is also a scientific method which involves observing and describing the behavior of a subject without influencing it in any way.
  • 5.
     A descriptivestudy is one in which information is collected without changing the environment (i.e., nothing is manipulated). It is used to obtain information concerning the current status of the phenomena to describe “what exist” with respect to variables or conditions in a situation.  Present trends, beliefs, public mind, their viewpoint and attitudes, their effects or development of new trends are described.  Ex. Online Vs Modular classes; who performs better in their academic performance.
  • 6.
    Method of CollectingData and Development of the Research Instrument Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case studies, checklists, interviews, observation sometimes, and surveys or questionnaires are all tools used to collect data.
  • 7.
    Most used datacollection methods and tools 1. Interview – it is a face-to-face conversation between two individuals with the sole purpose of collecting relevant information to satisfy a research purpose. 2. Questionnaires – it is the process of collecting data through an instrument consisting of a series of questions and prompts to receive a response from individuals it is administered to.
  • 8.
    Development of theInstrument  Developing a good instrument is the most important part of conducting a high quality research study.  Developing an instrument takes a lot of work and advanced preparation. It is very important that the instrument has been thoroughly critiqued, evaluated, and pilot tested by the student, supervisor, and others before it is administered for the actual study. Once the instrument has been administered, it cannot be changed. Any problems with the instrument after it has been administered will require the student to completely redo the data collection process, wasting considerable time and money. Therefore, researchers must take great thought and care when developing their instrument.
  • 9.
    The Sampling Design it is the framework, or road map, that serves as the basis for the selection of a survey sample and affects many other important aspects of a survey as well.  generally it refer to the technique used to select sample units for measurement (e.g., select individuals from a population or locations to sample within a study area). Before sample design methods can be considered, it is necessary to have thoroughly defined the population, study area, sampling unit, and sampling objective. All of these will have an impact on which sample design methods are suitable.
  • 10.
    Population - the totalnumber of people in the group you are trying to study. If you are surveying your company, the size of the population is the total number of employees. Sample - is a selection of respondents chosen in such a way that they represent the total population as good as possible. Margin of error - a percentage that tells you how much you can expect your survey results to reflect the views of the overall population. The smaller the margin of error, the closer you are to having the exact answer at a given confidence level.
  • 11.
    4 main Typesof Probability Sample 1. Simple Random Sampling – every member of the population has an equal chance of being selected. Your sampling frame should include the whole population. 2. Systematic Sampling – is similar to simple random sampling, but it is usually slightly easier to conduct. Every member of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at regular intervals.
  • 12.
    3. Stratified Sampling– involves dividing the subpopulations that may differ in important ways. It allows you draw more precise conclusions by ensuring that every subgroup is properly represented in the sample. - to use this sampling method, you divide the population into subgroups (called strata) based on the relevant characteristic (e.g. gender, age range, income bracket, job role).
  • 13.
    4. Cluster Sampling( Multistage Cluster Sampling) - it is used when the population is so big or the geographical area of the research is so large. The general procedure is to divide the area or population into clusters or blocks and then within the final cluster apply any of the different methods of selecting a sample.
  • 14.
    Statistical Treatment ofData - is when you apply some form of statistical method to a data set to transform it from a group of meaningless numbers into meaningful output. It involves the use of statistical methods such as: Mean Mode Median Regression Conditional probability Sampling Standard deviation Distribution range
  • 16.
    Some guidelines inthe selection and application of statistical producers 1. Data should be organized using any or all of the following depending upon what is desired to be known or what is to be computed: talligram (tabulation table), ordered arrangement of scores, score distribution, class (grouped) frequency distribution, or scattergram. 2. When certain proportions of the population based on certain variables such as age, height, income, etc. Are desired to be known, frequency counts with their frequency percent may be used. For further analysis, cumulative frequencies (up and down) with their respective cumulative frequency percent (up and down) may also be utilized.
  • 17.
    3. When thetypical, normal, or average is desired to be known, the measure of central tendency such as the median, the mean or the mode may be computed and used. 4. When the variables being studied are abstract or continuous such that they cannot be counted individually such as adequacy, efficiency, excellence, extent, seriousness (of problems), and the like, the weighted mean may be computed and used if the average is desired to be known.
  • 18.
    5. When thevariability of the population is desired to be known, the measure of variability such as the range, quartile deviation, average deviation or the standard deviation may be computed and used. 6. When the relative replacements of scores or positions are desired to be known, ranking, quartile or percentile rank may be computed and used.
  • 19.
    7. When thesignificance of the treat of reaction or opinion of persons as a group toward a certain issue, situation, value or thing is desired to be known but in which there is a neutral position, the chi-square of equal probability, single group, is computed and interpreted. 8. When the significance of the difference between the reactions, or opinions of two distinct groups in which there is a neutral position is desired to be known, the chi- square of equal probability, two-group, is computed and used.
  • 20.
    9. To determinehow one variable varies with another, the coefficient of correlation is computed, as for instance, how the scores of a group of students in a Mathematics test vary with the scores of the same group of students in an English test. This is also used to determine the validity of a test by correlation between the two tests is known and known and a prediction is to be made as to what score a student gets in a second test after knowing his score in the first, the so-called regression equation is to be utilized. 10. If the significance of the difference between the perceptions of two groups about a certain situation is to be studied, the computation of the difference between means is to be made.
  • 21.
    11. To determinethe relative effectiveness of the different ways of doing things to which different randomized groups are respectively exposed to and only a post test is given to the different groups, analysis of variance is appropriate to use. If the four groups are given a given a pre-test and post-test, the analysis of covariance is utilized. 12. To determine the effects of some variables upon a single variable to which they are related, partial and multiple correlations are suggested to be used. 13. To determine the association between two independent variables, the chi-square of independence or chi-square of multiplication may be used.
  • 22.
    Indeed, there arelots of research situations in which different statistical procedures may or can be used and if the researcher is not so sure that he is in the right path, he better consult good statistical books, or acquire the services of a good statistician plus the services of a computer especially if the statistical procedures are complex.
  • 23.
    QUESTIONS FOR STUDY DISCUSSION 1.What topics are contained in chapter 3? 2. How do you describe your method of research? 3. How is the selection and preparation of the research instrument described? 4. How is the sampling design described? 5. Give the guidelines in the selection of statistical procedure to be used.
  • 24.
    PREPARED BY: DANIEL M.AÑ0NUEVO KENNY ROSE B. AÑ0NUEVO LITO Z. AÑ0NUEVO AMY A. MONTERO IRIN REGIDOR