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RESEARCH
METHODOLOGY
MAED 502
👉What is research and types of research
👉How to formulate a research question
👉Literature review and its purpose
👉Research Design
👉Data Collection
👉Data Analysis
TOPICS
🎯 The systematic, rigorous investigation of
a situation or problem in order to generate
new knowledge or validate existing
knowledge.
🎯An endeavour to discover new or collate
old facts etc by the scientific study of a
subject or by a course of critical investigation.
RESEARCH
🎯 Applied research refers to scientific study
and research that seeks to solve practical
problems. Applied research is used to find
solutions to everyday problems, cure illness,
and develop innovative technologies, rather
than to acquire knowledge for knowledge's
sake.
APPLIED RESEARCH
For example, applied researchers may
investigate ways to:
•Improve agricultural crop production
•Treat or cure a specific disease
•Improve the energy efficiency of homes,
offices, or modes of transportation
APPLIED RESEARCH
🎯 Basic (aka fundamental or pure )
research is driven by a scientist's curiosity or
interest in a scientific question. The main
motivation is to expand man's knowledge,
not to create or invent something. There is no
obvious commercial value to the discoveries
that result from basic research.
BASIC RESEARCH
For example, basic science investigations
probe for answers to questions such as:
•How did the universe begin?
•What are protons, neutrons, and electrons
composed of?
•What is the specific genetic code of the fruit
fly?
BASIC RESEARCH
🎯 Correlational research refers to the
systematic investigation or statistical study of
relationships among two or more variables,
without necessarily determining cause and
effect.
CORRELATIONAL RESEARCH
For example, to test the hypothesis “ Listening to
music lowers blood pressure levels” there are 2 ways
of conducting research
•Experimental – group samples and make one group
listen to music and then compare the bp levels
•Survey – ask people how they feel ? How often they
listen? And then compare
CORRELATIONAL RESEARCH
🎯 Descriptive research refers to research that
provides an accurate portrayal of characteristics of a
particular individual, situation, or group. Descriptive
research, also known as statistical research.
🎯 These studies are a means of discovering new
meaning, describing what exists, determining the
frequency with which something occurs, and
categorizing information.
DESCRIPTIVE RESEARCH
For example,
•finding the most frequent disease that
affects the children of a town.
DESCRIPTIVE RESEARCH
🎯 Ethnographic research refer to the
investigation of a culture through an in-depth
study of the members of the culture; it
involves the systematic collection, description,
and analysis of data for development of
theories of cultural behavior.
ETHNOGRAPHIC RESEARCH
🎯 It studies people, ethnic groups and other
ethnic formations, their ethno genesis,
composition, resettlement, social welfare
characteristics, as well as their material and
spiritual culture.
ETHNOGRAPHIC RESEARCH
🎯 The purpose of ethnographic research is
to attempt to understand what is happening
naturally in the setting and to interpret the
data gathered to see what implications could
be formed from the data.
ETHNOGRAPHIC RESEARCH
🎯 An experiment research is a study in
which a treatment, procedure, or program is
intentionally introduced and a result or
outcome is observed.
Eg: bp level measure
EXPERIMENTAL RESEARCH
🎯 An Exploratory research is a type of research
conducted for a problem that has not been clearly
defined. Exploratory research helps determine the
best research design, data collection method and
selection of subjects.
🎯 Historical research is research involving analysis
of events that occurred in the remote or recent past
EXPLORATORY AND HISTORY
RESEARCH
🎯On a broader perspective, all
researches can be classified into two
groups:
•Qualitative Research
•Quantitative Research
TYPES OF RESEARCH
🎯 Qualitative research is research
dealing with phenomena that are
difficult or impossible to quantify
mathematically, such as beliefs,
meanings, attributes, and symbols.
QUALITATIVE RESEARCH
🎯 Qualitative research techniques
include focus groups, interviews, and
observation (1. to uncover pattern,
trends; 2. insight for hypothesis; 3.
understand reason and motivation)
QUALITATIVE RESEARCH
Ex :
How was your experience today? Ans:
great, fine, boring and terrible
How is the feedback so far ?
QUALITATIVE RESEARCH
🎯 First priority is to formulate your question
🎯Then figure out how you are going to answer it
👉How others have answered it?
👉How does your proposal fit in with what others
have done?
👉How will you know when you have answered it?
How to formulate a research
question
🎯 First priority is to formulate your question
🎯Then figure out how you are going to answer it
👉How others have answered it?
👉How does your proposal fit in with what others
have done?
👉How will you know when you have answered it?
🎯Then you can present your answer
How to formulate a research
question
👉Something you want to know about your
discipline, or about a specific area within your
discipline.
👉 Not a topic, fragment, phrase, or sentence. It
ends with a question mark!
👉 Clear and precisely stated. It is not too broad, nor
is it too narrow.
👉 Open-ended, as opposed to closed. It cannot be
answered in a sentence or phrase.
RESEARCH QUESTION
👉Is television going to survive in digital eye
or will it become obsolete like digital camera?
EXAMPLE OF RESEARCH
QUESTION
👉Does negative news interest people more
than positive news?
EXAMPLE OF RESEARCH
QUESTION
👉What are the factors motivate young
people to commit violence?
EXAMPLE OF RESEARCH
QUESTION
👉What factors contribute to a low turnout
among women voters in elections in
Pakistan?
EXAMPLE OF RESEARCH
QUESTION
👉Do students think about the career
options first before choosing education or
careers come second?
EXAMPLE OF RESEARCH
QUESTION
👉Does exercise improve the quality of
sleep?
EXAMPLE OF RESEARCH
QUESTION
🎯 An „angle‟ for your research can come
from insights stemming from:
👉 personal experience
👉 theory
👉 observations
👉 contemporary issues
👉 engagement with the literature
RESEARCH QUESTION
🎯 A research question should be
👉 Clear
👉 Focused
👉 Concise
👉 Complex
👉 Arguable
You should ask a question about an issue that
you are genuinely curious about.
RESEARCH QUESTION
👉 Locate different types of resources.
👉 Decide which resources might be
suitable.
👉 Select most appropriate resources.
👉 Revise research questions if necessary
LITERATURE REVIEW
🎯 Determine if proposed
research is actually needed.
👉 Even if similar research
published, researchers might suggest
a need for similar studies or
replication.
Purposes of Literature review
🎯 Narrow down a problem.
👉 It can be overwhelming getting into the
literature of a field of study. A literature
review can help you understand where you
need to focus your efforts.
🎯 Generate hypotheses or
questions for further studies.
Purposes of Literature review
🎯Background knowledge of the field of inquiry
👉 Facts
👉 Eminent scholars
👉 Parameters of the field
👉 The most important ideas, theories, questions and
hypotheses.
🎯 Knowledge of the methodologies common to the
field and a feeling for their usefulness and
appropriateness in various settings.
Purposes of Literature review
Purposes of Literature review
👉Keep a record of the literature you collect
👉Record where and when you retrieved the
information
Save the information
🎯 The research design is the master plan
specifying the methods and procedures for
collecting and analyzing the needed
information.
RESEARCH DESIGN/
METHODOLOGY
🎯 The research design is the master plan
specifying the methods and procedures for
collecting and analyzing the needed
information.
RESEARCH DESIGN
👉Sample design: this deals with the
technique of selecting items and thus requires
careful observation for the given research
study.
👉 Observational design: this relates to the
conditions under which the experiments are
to be conducted.
RESEARCH DESIGN
👉Statistical design: this concerns the question
of how many items are to be observed, and how
are the collected data and information going to
be analyzed
👉 Operational design: this deals with the
methods by which the procedures specified in the
sample, observational and statistical designs can
be conducted.
RESEARCH DESIGN
🎯 Measuring a small portion of
something and then making a general
statement about the whole thing.
👉Ex: Average height of Dehradun people.
How to calculate this?
SAMPLING
🎯 Sampling makes possible the study
of a large, heterogeneous (different
characteristics) population.
👉Sampling is for economy.
👉Sampling is for speed.
👉Sampling is for accuracy.
WHY SAMPLING?
1. Accuracy – bias is absent from the sample
(Ex. A company is thinking of lowering its price for its soap bar product.
After making a survey in the sales of their product in a known mall in
Makati they concluded that they will not cut down the price of the
soap bar since there was an increased in sales compared to last year.
Bias is present in this study since the company based its decision for
the sales of a known mall which have consumers who can afford high
price products. They did not consider the sales of their products in
other area wherein they have middle class or low class consumers.)
GOOD SAMPLE
2. Precision – sample represents the
population
(Ex. Customers who visited a particular dress shop are requested to log
in their phone numbers so that they will receive information for
discounts and new arrivals. Management wish to study customers
satisfaction for that shop. By means of interviewing thru phone they
get comments and reactions of their client. Samples used are not an
exact representative of the population since it is limited only to those
customers who log in their phone numbers and they did not consider
customers without phone numbers indicated.)
GOOD SAMPLE
1. What is the target population?
Target population is the aggregation of elements
(members of the population) from which the sample
is actually selected.
2.What are the parameters of interest?
Parameters are summary description of a given
variable in a population.
STEPS IN SAMPLING DESIGN
3.What is the sampling frame?
Sampling frame is the list of elements from which the
sample is actually drawn. Complete and correct list of
population members only.
4. What is the appropriate sampling method?
Probability or Non-Probability sampling method
STEPS IN SAMPLING DESIGN
5.What size sample is needed?
There are no fixed rules in determining the size of a sample
needed. There are guidelines that should be observed in determining
the size of a sample.
When the population is more or less homogeneous and only
the typical, normal, or average is desired to be known, a smaller
sample is enough. However, if differences are desired to be known, a
larger sample is needed.
When the population is more or less heterogeneous and only
the typical, normal or average is desired to be known a larger sample is
needed. However, if only their differences are desired to be known, a
smaller sample is sufficient.
STEPS IN SAMPLING DESIGN
🎯 Probability Sampling
👉Pure random sampling
👉Systematic sampling
👉Stratified sampling
👉Cluster sampling
🎯 Non Probability sampling
👉Convenience sampling
👉Purposive sampling
👉Quota sampling
👉Judgmental sampling
TYPES OF SAMPLING
1.Define the objectives of the survey or experiment.
Example: Estimate the average life of an electronic component. (
Research topic)
2.Define the variable and population of interest.
Example: No of years (life span of electronic components)
3.Defining the data-collection and data-measuring schemes. This
includes sampling procedures, sample size, and the data-
measuring device (questionnaire, scale, ruler, etc.).
4.Determine the appropriate descriptive or inferential data-
analysis techniques.
Process of Data Collection
🎯 Variable: A characteristic about each individual
element of a population or sample.
Example: A college dean is interested in learning about the average age
of faculty.
👉Population: All faculty member
👉Sample: subset of population (Ex: 10 faculty member from
population)
👉Variable: “Age” of faculty member
Define the variable and
population of interest
🎯 Qualitative, or Attribute, or Categorical,
Variable: A variable that categorizes or describes an
element of a population. Ex: color, smell, quality etc
Note: Arithmetic operations, such as addition and
averaging, are not meaningful for data resulting from
a qualitative variable.
2 TYPES OF VARIABLES
🎯 Quantitative, or Numerical, Variable: A variable
that quantifies an element of a population.
Note: Arithmetic operations such as addition and
averaging, are meaningful for data resulting from a
quantitative variable.
2 TYPES OF VARIABLES
Variable
Quantitative
Qualitative
Continuous
Discrete
Ordinal
Nominal
🎯 Nominal Variable: A qualitative variable that
categorizes (or describes, or names) an element of a
population.
🎯 Ordinal Variable: A qualitative variable that
incorporates an ordered position, or ranking.
🎯 Discrete Variable: A quantitative variable that can
assume a countable number of values. Intuitively, a
discrete variable can assume values corresponding to
isolated points along a line interval. That is, there is a
gap between any two values.
🎯 Continuous Variable: A quantitative variable
that can assume an uncountable number of values.
Intuitively, a continuous variable can assume any
value along a line interval, including every possible
value between any two values.
🎯 Data collection is one of the most important stage
in conducting a research.
🎯 Data collection starts with determining what kind
of data (Qualitative or Quantitative) required
followed by the selection of a sample (sampling
design) from a certain population
DATA COLLECTION
🎯 To get information for analysis.
🎯 To get idea about real time
situation.
🎯 For comparison between two
situation
NEED OF DATA COLLECTION
TYPES OF DATA
🎯 Primary Data
•Data is collected by
researcher himself
•Data is gathered through
questionnaire, interviews,
observations etc.
🎯 Secondary Data
Data collected, compiled
or written by other
researchers eg. books,
journals, newspapers
🎯 Descriptive statistics are methods for organizing
and summarizing data.
For example, tables or graphs are used to organize
data
🎯 Inferential statistics are methods for using sample
data to make general conclusions (inferences) about
populations.
DATA ANALYSIS
COMPARISON
DESCRIPTIVE & INFERENTIAL STATISTICS
Describing Data Make Predictions
🎯 Descriptive Statistics
•Organize
•Summarize
•Simplify
•Presentation of Data
🎯 Inferential Statistics
•Generalize from samples
to pops
•Hypothesis Testing
•Relationships among
variables
THANK YOU

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RESEARCH METHODOLOGY.pdf

  • 2. 👉What is research and types of research 👉How to formulate a research question 👉Literature review and its purpose 👉Research Design 👉Data Collection 👉Data Analysis TOPICS
  • 3. 🎯 The systematic, rigorous investigation of a situation or problem in order to generate new knowledge or validate existing knowledge. 🎯An endeavour to discover new or collate old facts etc by the scientific study of a subject or by a course of critical investigation. RESEARCH
  • 4. 🎯 Applied research refers to scientific study and research that seeks to solve practical problems. Applied research is used to find solutions to everyday problems, cure illness, and develop innovative technologies, rather than to acquire knowledge for knowledge's sake. APPLIED RESEARCH
  • 5. For example, applied researchers may investigate ways to: •Improve agricultural crop production •Treat or cure a specific disease •Improve the energy efficiency of homes, offices, or modes of transportation APPLIED RESEARCH
  • 6. 🎯 Basic (aka fundamental or pure ) research is driven by a scientist's curiosity or interest in a scientific question. The main motivation is to expand man's knowledge, not to create or invent something. There is no obvious commercial value to the discoveries that result from basic research. BASIC RESEARCH
  • 7. For example, basic science investigations probe for answers to questions such as: •How did the universe begin? •What are protons, neutrons, and electrons composed of? •What is the specific genetic code of the fruit fly? BASIC RESEARCH
  • 8. 🎯 Correlational research refers to the systematic investigation or statistical study of relationships among two or more variables, without necessarily determining cause and effect. CORRELATIONAL RESEARCH
  • 9. For example, to test the hypothesis “ Listening to music lowers blood pressure levels” there are 2 ways of conducting research •Experimental – group samples and make one group listen to music and then compare the bp levels •Survey – ask people how they feel ? How often they listen? And then compare CORRELATIONAL RESEARCH
  • 10. 🎯 Descriptive research refers to research that provides an accurate portrayal of characteristics of a particular individual, situation, or group. Descriptive research, also known as statistical research. 🎯 These studies are a means of discovering new meaning, describing what exists, determining the frequency with which something occurs, and categorizing information. DESCRIPTIVE RESEARCH
  • 11. For example, •finding the most frequent disease that affects the children of a town. DESCRIPTIVE RESEARCH
  • 12. 🎯 Ethnographic research refer to the investigation of a culture through an in-depth study of the members of the culture; it involves the systematic collection, description, and analysis of data for development of theories of cultural behavior. ETHNOGRAPHIC RESEARCH
  • 13. 🎯 It studies people, ethnic groups and other ethnic formations, their ethno genesis, composition, resettlement, social welfare characteristics, as well as their material and spiritual culture. ETHNOGRAPHIC RESEARCH
  • 14. 🎯 The purpose of ethnographic research is to attempt to understand what is happening naturally in the setting and to interpret the data gathered to see what implications could be formed from the data. ETHNOGRAPHIC RESEARCH
  • 15. 🎯 An experiment research is a study in which a treatment, procedure, or program is intentionally introduced and a result or outcome is observed. Eg: bp level measure EXPERIMENTAL RESEARCH
  • 16. 🎯 An Exploratory research is a type of research conducted for a problem that has not been clearly defined. Exploratory research helps determine the best research design, data collection method and selection of subjects. 🎯 Historical research is research involving analysis of events that occurred in the remote or recent past EXPLORATORY AND HISTORY RESEARCH
  • 17. 🎯On a broader perspective, all researches can be classified into two groups: •Qualitative Research •Quantitative Research TYPES OF RESEARCH
  • 18. 🎯 Qualitative research is research dealing with phenomena that are difficult or impossible to quantify mathematically, such as beliefs, meanings, attributes, and symbols. QUALITATIVE RESEARCH
  • 19. 🎯 Qualitative research techniques include focus groups, interviews, and observation (1. to uncover pattern, trends; 2. insight for hypothesis; 3. understand reason and motivation) QUALITATIVE RESEARCH
  • 20. Ex : How was your experience today? Ans: great, fine, boring and terrible How is the feedback so far ? QUALITATIVE RESEARCH
  • 21. 🎯 First priority is to formulate your question 🎯Then figure out how you are going to answer it 👉How others have answered it? 👉How does your proposal fit in with what others have done? 👉How will you know when you have answered it? How to formulate a research question
  • 22. 🎯 First priority is to formulate your question 🎯Then figure out how you are going to answer it 👉How others have answered it? 👉How does your proposal fit in with what others have done? 👉How will you know when you have answered it? 🎯Then you can present your answer How to formulate a research question
  • 23. 👉Something you want to know about your discipline, or about a specific area within your discipline. 👉 Not a topic, fragment, phrase, or sentence. It ends with a question mark! 👉 Clear and precisely stated. It is not too broad, nor is it too narrow. 👉 Open-ended, as opposed to closed. It cannot be answered in a sentence or phrase. RESEARCH QUESTION
  • 24. 👉Is television going to survive in digital eye or will it become obsolete like digital camera? EXAMPLE OF RESEARCH QUESTION
  • 25. 👉Does negative news interest people more than positive news? EXAMPLE OF RESEARCH QUESTION
  • 26. 👉What are the factors motivate young people to commit violence? EXAMPLE OF RESEARCH QUESTION
  • 27. 👉What factors contribute to a low turnout among women voters in elections in Pakistan? EXAMPLE OF RESEARCH QUESTION
  • 28. 👉Do students think about the career options first before choosing education or careers come second? EXAMPLE OF RESEARCH QUESTION
  • 29. 👉Does exercise improve the quality of sleep? EXAMPLE OF RESEARCH QUESTION
  • 30. 🎯 An „angle‟ for your research can come from insights stemming from: 👉 personal experience 👉 theory 👉 observations 👉 contemporary issues 👉 engagement with the literature RESEARCH QUESTION
  • 31. 🎯 A research question should be 👉 Clear 👉 Focused 👉 Concise 👉 Complex 👉 Arguable You should ask a question about an issue that you are genuinely curious about. RESEARCH QUESTION
  • 32. 👉 Locate different types of resources. 👉 Decide which resources might be suitable. 👉 Select most appropriate resources. 👉 Revise research questions if necessary LITERATURE REVIEW
  • 33. 🎯 Determine if proposed research is actually needed. 👉 Even if similar research published, researchers might suggest a need for similar studies or replication. Purposes of Literature review
  • 34. 🎯 Narrow down a problem. 👉 It can be overwhelming getting into the literature of a field of study. A literature review can help you understand where you need to focus your efforts. 🎯 Generate hypotheses or questions for further studies. Purposes of Literature review
  • 35. 🎯Background knowledge of the field of inquiry 👉 Facts 👉 Eminent scholars 👉 Parameters of the field 👉 The most important ideas, theories, questions and hypotheses. 🎯 Knowledge of the methodologies common to the field and a feeling for their usefulness and appropriateness in various settings. Purposes of Literature review
  • 37. 👉Keep a record of the literature you collect 👉Record where and when you retrieved the information Save the information
  • 38. 🎯 The research design is the master plan specifying the methods and procedures for collecting and analyzing the needed information. RESEARCH DESIGN/ METHODOLOGY
  • 39. 🎯 The research design is the master plan specifying the methods and procedures for collecting and analyzing the needed information. RESEARCH DESIGN
  • 40. 👉Sample design: this deals with the technique of selecting items and thus requires careful observation for the given research study. 👉 Observational design: this relates to the conditions under which the experiments are to be conducted. RESEARCH DESIGN
  • 41. 👉Statistical design: this concerns the question of how many items are to be observed, and how are the collected data and information going to be analyzed 👉 Operational design: this deals with the methods by which the procedures specified in the sample, observational and statistical designs can be conducted. RESEARCH DESIGN
  • 42. 🎯 Measuring a small portion of something and then making a general statement about the whole thing. 👉Ex: Average height of Dehradun people. How to calculate this? SAMPLING
  • 43. 🎯 Sampling makes possible the study of a large, heterogeneous (different characteristics) population. 👉Sampling is for economy. 👉Sampling is for speed. 👉Sampling is for accuracy. WHY SAMPLING?
  • 44. 1. Accuracy – bias is absent from the sample (Ex. A company is thinking of lowering its price for its soap bar product. After making a survey in the sales of their product in a known mall in Makati they concluded that they will not cut down the price of the soap bar since there was an increased in sales compared to last year. Bias is present in this study since the company based its decision for the sales of a known mall which have consumers who can afford high price products. They did not consider the sales of their products in other area wherein they have middle class or low class consumers.) GOOD SAMPLE
  • 45. 2. Precision – sample represents the population (Ex. Customers who visited a particular dress shop are requested to log in their phone numbers so that they will receive information for discounts and new arrivals. Management wish to study customers satisfaction for that shop. By means of interviewing thru phone they get comments and reactions of their client. Samples used are not an exact representative of the population since it is limited only to those customers who log in their phone numbers and they did not consider customers without phone numbers indicated.) GOOD SAMPLE
  • 46. 1. What is the target population? Target population is the aggregation of elements (members of the population) from which the sample is actually selected. 2.What are the parameters of interest? Parameters are summary description of a given variable in a population. STEPS IN SAMPLING DESIGN
  • 47. 3.What is the sampling frame? Sampling frame is the list of elements from which the sample is actually drawn. Complete and correct list of population members only. 4. What is the appropriate sampling method? Probability or Non-Probability sampling method STEPS IN SAMPLING DESIGN
  • 48. 5.What size sample is needed? There are no fixed rules in determining the size of a sample needed. There are guidelines that should be observed in determining the size of a sample. When the population is more or less homogeneous and only the typical, normal, or average is desired to be known, a smaller sample is enough. However, if differences are desired to be known, a larger sample is needed. When the population is more or less heterogeneous and only the typical, normal or average is desired to be known a larger sample is needed. However, if only their differences are desired to be known, a smaller sample is sufficient. STEPS IN SAMPLING DESIGN
  • 49. 🎯 Probability Sampling 👉Pure random sampling 👉Systematic sampling 👉Stratified sampling 👉Cluster sampling 🎯 Non Probability sampling 👉Convenience sampling 👉Purposive sampling 👉Quota sampling 👉Judgmental sampling TYPES OF SAMPLING
  • 50. 1.Define the objectives of the survey or experiment. Example: Estimate the average life of an electronic component. ( Research topic) 2.Define the variable and population of interest. Example: No of years (life span of electronic components) 3.Defining the data-collection and data-measuring schemes. This includes sampling procedures, sample size, and the data- measuring device (questionnaire, scale, ruler, etc.). 4.Determine the appropriate descriptive or inferential data- analysis techniques. Process of Data Collection
  • 51. 🎯 Variable: A characteristic about each individual element of a population or sample. Example: A college dean is interested in learning about the average age of faculty. 👉Population: All faculty member 👉Sample: subset of population (Ex: 10 faculty member from population) 👉Variable: “Age” of faculty member Define the variable and population of interest
  • 52. 🎯 Qualitative, or Attribute, or Categorical, Variable: A variable that categorizes or describes an element of a population. Ex: color, smell, quality etc Note: Arithmetic operations, such as addition and averaging, are not meaningful for data resulting from a qualitative variable. 2 TYPES OF VARIABLES
  • 53. 🎯 Quantitative, or Numerical, Variable: A variable that quantifies an element of a population. Note: Arithmetic operations such as addition and averaging, are meaningful for data resulting from a quantitative variable. 2 TYPES OF VARIABLES
  • 55. 🎯 Nominal Variable: A qualitative variable that categorizes (or describes, or names) an element of a population. 🎯 Ordinal Variable: A qualitative variable that incorporates an ordered position, or ranking.
  • 56. 🎯 Discrete Variable: A quantitative variable that can assume a countable number of values. Intuitively, a discrete variable can assume values corresponding to isolated points along a line interval. That is, there is a gap between any two values. 🎯 Continuous Variable: A quantitative variable that can assume an uncountable number of values. Intuitively, a continuous variable can assume any value along a line interval, including every possible value between any two values.
  • 57. 🎯 Data collection is one of the most important stage in conducting a research. 🎯 Data collection starts with determining what kind of data (Qualitative or Quantitative) required followed by the selection of a sample (sampling design) from a certain population DATA COLLECTION
  • 58. 🎯 To get information for analysis. 🎯 To get idea about real time situation. 🎯 For comparison between two situation NEED OF DATA COLLECTION
  • 59. TYPES OF DATA 🎯 Primary Data •Data is collected by researcher himself •Data is gathered through questionnaire, interviews, observations etc. 🎯 Secondary Data Data collected, compiled or written by other researchers eg. books, journals, newspapers
  • 60. 🎯 Descriptive statistics are methods for organizing and summarizing data. For example, tables or graphs are used to organize data 🎯 Inferential statistics are methods for using sample data to make general conclusions (inferences) about populations. DATA ANALYSIS
  • 61. COMPARISON DESCRIPTIVE & INFERENTIAL STATISTICS Describing Data Make Predictions 🎯 Descriptive Statistics •Organize •Summarize •Simplify •Presentation of Data 🎯 Inferential Statistics •Generalize from samples to pops •Hypothesis Testing •Relationships among variables