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BUSINESS RESEARCH
DEFINITION
Business research is a process of acquiring detailed information of all the areas
of business and using such information in maximizing the sales and profit of
the business. Such a study helps companies determine which product/service is
most profitable or in demand. In simple words, it can be stated as the acquisition of
information or knowledge for professional or commercial purpose to determine
opportunities and goals for a business.
WHAT IS BUSINESS RESEARCH DESIGN?
Research design can be defined as a
framework or blue print for
conducting business research project
in an efficient manner. It details the
procedures necessary for collection,
measurement and analysis of
information which helps the researcher
to structure/or solve business research
problems.
TYPES OF RESEARCH DESIGN
Business research plays an important role in the business intelligence process.
This is usually conducted to determine if a company can succeed in a new
region through competitive analyses and better marketing approach. Keeping
its dynamics into consideration, the research design is categorized into two
different perspectives, i.e.
Quantitative Research Design &
Qualitative Research Design
1. Quantitative research
Quantitative research involves methodical analysis of phenomena by
means of collecting quantifiable data and then carrying out
mathematical, statistical, or computing techniques. To conduct
quantitative research, methods like online survey, questionnaires,
sampling methods etc. are used and the outcome from these methods
is represented in numerical form.
Quantitative Research options that exist for
Market Researchers
1 . Primary Quantitative Research Methods
This type of research is mostly used in conducting marketing
research. Primary quantitative research depends on the data collected
rather than on the data collected from the previous research
conducted.
Primary quantitative research method has for sub-types.
2 . Secondary Quantitative Research Method
It also is known as desktop research and uses existing data to
conduct research. The data collected is summarized and organized
to enhance the effectiveness of research. The data is collected from
various sources like research reports, libraries, government
records, and internet. The secondary Quantitative research is also
to validate the outcomes of primary Quantitative research. Hence,
the outcomes from primary Quantitative research can be validated or
refuted on the basis of previously collected data.
1. PRIMARY QUANTITATIVE RESEARCH
METHODS
A) Survey Research
Cross-sectional survey
This is also called observational survey conducted
on a target population at a given point of time. It helps to evaluate different variables at
the same time. It’s mostly used in retail stores, health care industry or SMEs.
Longitudinal Survey
It’s also an observational survey, in which research is conducted at various time
durations. Here one variable is evaluated at different times where a sequence
of events matters. It’s mostly use in medicine and applied sciences fields.
B) Correlational Research
This research design investigates relationships between variables without the
researcher controlling or manipulating any of them. A correlation reflects the
strength and/or direction of the relationship between two (or more) variables.
Correlations can be strong or weak and positive or negative. Sometimes, there is no
correlation.
Positive correlations: Both variables increase or decrease at the same
time. A correlation coefficient close to +1.00 indicates a strong positive
correlation.
Negative correlations: As the amount of one variable increases, the
other decreases (and vice versa). A correlation coefficient close to -1.00
indicates a strong negative correlation.
No correlation: There is no relationship between the two variables. A
correlation coefficient of 0 indicates no correlation.
C) Causal-Comparative Research (Quasi-experimental research)
This research method works on the comparison. In this research experiment, the
researcher identifies the cause-effect relationship between two or more
variables. Out of two variables, one variable is dependent on the other. To conduct
this research, the researcher establishes one variable without modifying it and
observe its impacts on another variable. This research is not only restricted to the
statistical analysis of two variables, however, but impacts can also be observed on
different variables in a group.
For example: the impacts of sports on child’s Education or the impact of parents’
divorce on children.
D) Experimental Research :
This research is also referred to as true experimentation. It’s based on one or more
than one theory. This type of research is mostly used in natural sciences or in
social science because there are many theories to be proved right or wrong.
Multiple theories can be used to conduct this research. Researcher establishes
the statement and after establishing this researcher makes efforts to verify
whether the statement is valid or invalid.
For example: It’s a boon to have a dedicated teaching staff for high success rate of
students or conventional methods of cooking are better than the modern
methods.
2. SECONDARY QUANTITATIVE RESEARCH METHOD :
A ) Government and Non-government resources :
The data collected from government records are reliable and detailed, therefore, it
can be used to validate quantitative research’s outcome.
B) Data available on the Internet :
Comprehensive information about various research topics is available on the
internet through forums, blogs, and websites where people share about their study
and outcomes of research conducted by them. A researcher can use that
information to conduct his own research.
C) Educational Institutes :
D) Public Libraries :
E) Commercial information sources:
Newspaper, magazines, Radio, journals, and Television are a great source of
information and a lot of data can be obtained from these resources to conduct
secondary research. These commercial information sources have fresh information
about economic developments, market research, political agenda,
and demographic segmentation etc. however, not all commercial information
sources are reliable. One should choose information from them on the basis of
their credibility.
2. Qualitative research
Qualitative research relies on data obtained by the researcher from first-
hand observation, interviews, questionnaires, focus groups, participant-
observation, recordings made in natural settings, documents, case studies, and
artifacts. The data are generally non-numerical.
Example: unstructured interviews which generate qualitative data through
the use of open questions. This allows the respondent to talk in some depth,
choosing their own words. This helps the researcher develop a real sense of a
person's understanding of a situation.
When to use qualitative research
 It’s used when researcher needs to capture accurate, in-depth insights and
“factual data”.
 Developing a new product or generating an idea.
 Studying your product/brand or service to strengthen your marketing
strategy.
 To understand ones strengths and weaknesses.
 Understanding purchase behavior.
 To study the reactions of your audience to marketing campaigns and other
communications.
WHAT IS THE SIGNIFICANCE OF
RESEARCH DESIGN
A well-planned research design helps ensure that your methods
match your research aims, that you collect high-quality data, and
that you use the right kind of analysis to answer your questions,
utilizing credible sources. This allows you to draw valid, trustworthy
conclusions.
1.
2. 3.
EXPLORATORY
RESEARCH
Exploratory research is a methodology approach
that investigates research questions that have
not previously been studied in depth.
Exploratory research is often qualitative in nature.
However, a study with a large sample conducted in
an exploratory manner can be quantitative as well.
PURPOSE OF EXPLORATORY RESEARCH
Used to investigate a problem which is not clearly defined.
It helps to provide better understanding of the existing problem, but
will not provide conclusive results.
A researcher has to start with a general idea and uses this research as
a medium to identify issues, that can be the focus for future
research.
The researcher should be willing to change his/her direction/subject
to the revelation of new data or insight.
It’s usually carried out when the problem is at a preliminary stage.
It is often referred to as grounded theory approach or interpretive
research as it used to answer questions like what, why and how.
METHOD 1
A customer experience survey allows you to capture a customer’s emotions
based on their experiences at various touch points. To identify the most
important touch points of your customers, you must map the journey of the
customers.
Example: you want to track the customer experience from the moment they think
of your brand to their return as a repeat customer in the future. In this process,
you should keep a close eye on what the customers say about your brand at every
METHOD 2 - Experience Survey
Why are customer experience surveys so
important?
1. Helps customer retention
2. Helps identify your promoters
3. Help gather data to make
informed decisions
Tips for designing customer experience (CX)
survey questions
DO’s DON’T’s
1. Set your goals
2. Choosing the right tool
3. Select a template and customize it if
needed
4. Use open-ended questions
5. Review your survey
1. Ask too many questions
2. No “mandatory” questions
3. Don’t go too deep in the
demographics
4. Avoid using jargon or technical terms
5. Remember, it’s the “Age of
Technology”
A focus group is a group interview involving a small number of demographically
similar people or participants who have other common traits/experiences. Their
reactions to specific researcher/evaluator-posed questions are studied. This group
is a small-group guided by a trained leader. It is used to learn about opinions on a
designated topic, and to guide future action.
Examples: A focus group of parents of preschoolers meets to discuss child care
needs.
METHOD 3 –
FOCUS GROUP
METHOD 4 – CASE STUDY/
COMPREHENSIVE CASE METHOD
A case study is a detailed study of a specific subject, such as a person, group,
place, event, organization, or phenomenon. Case studies are commonly used
in social, educational, clinical, and business research. A case study is an in-depth,
detailed examination of a particular case (or cases) within a real-world context. For
example, case studies in medicine may focus on an individual patient or ailment;
case studies in business might cover a particular firm strategy or a broader market;
similarly, case studies in politics can range from a narrow happening over time
2. CONCLUSIVE RESEARCH DESIGN
The conclusive research design is used to obtain information that can be used to
reach conclusions or make decisions. Conclusive research design usually involves
the application of quantitative methods of data collection and data analysis.
Moreover, conclusive studies tend to be deductive in nature and research objectives in
these types of studies are achieved via testing hypotheses.
Conclusive research can be sub-divided into two major categories:
 Descriptive or statistical research, and.
 Causal research.
Descriptive research
Descriptive research design is a type of research design that aims to
obtain information to systematically describe a phenomenon,
situation, or population. More specifically, it helps answer the what,
when, where, and how questions regarding the research problem, rather
than the why.
CROSS SECTIONAL & LONGITUDINAL STUDY
2. Cross Sectional Study-
A cross-sectional study is a type of observational study that analyzes data from a
population, or a representative subset, at a specific point in time—that is, cross-sectional
data. Here the investigator measures the outcome and the exposures in the study
participants at the same time.
2. Longitudinal Study-
A longitudinal study is a research design that involves repeated observations of the
same variables over short or long periods of time. It is often a type of observational study,
although it can also be structured as longitudinal randomized experiment.
3. Experimental Research Design – Meaning
Experimental design is the process of carrying out research in an objective
and controlled fashion so that precision is maximized and specific
conclusions can be drawn regarding a hypothesis statement. Generally, the
purpose is to establish the effect that a factor or independent variable has on a
dependent variable.
Types of Experimental Research Design?
1. Pre-experimental Research Design
In pre-experimental research design, either a group or various dependent groups
are observed for the effect of the application of an independent variable which is
presumed to cause change. It is the simplest form of experimental research design and
is treated with no control group.
Although very practical, experimental research is lacking in several areas of the true-
experimental criteria. The pre-experimental research design is further divided into
three types
 One-shot Case Study Research Design
 One-group Pretest-posttest Research Design:
 Static-group Comparison
2. Quasi-experimental Research Design
The word "quasi" means partial, half, or pseudo. Therefore, the quasi-experimental
research bearing a resemblance to the true experimental research, but not the
same. In quasi-experiments, the participants are not randomly assigned, and as such,
they are used in settings where randomization is difficult or impossible.
 This is very common in educational research, where administrators are unwilling to
allow the random selection of students for experimental samples.
 Some examples of quasi-experimental research design include; the time series, no
equivalent control group design, and the counterbalanced design.
3. True Experimental Research Design
The true experimental research design relies on statistical analysis to approve or
disprove a hypothesis. It is the most accurate type of experimental design and may be
carried out with or without a pretest on at least 2 randomly assigned dependent
subjects.
The true experimental research design must contain a control group, a variable that
can be manipulated by the researcher, and the distribution must be random. The
classification of true experimental design include:
The posttest-only Control Group Design
The pretest-posttest Control Group Design
Solomon four-group Design
4. Statistical Experimental
design
The (statistical) design of
experiments (DOE) is an efficient
procedure for planning
experiments so that the data
obtained can be analyzed to
yield valid and objective
conclusions. DOE begins with
determining the objectives of an
experiment and selecting the
process factors for the study.
4. Formal Experimental Design
Formal research is the process by which we learn new information to better
understand ourselves, each other, and the world with which we interact. It has the
following characteristics:
 Systematic: It is a predictable and consistent set of steps that are used to provide
reliable results.
 Organizational: It has a highly organized structure that allows the researcher to
integrate and make sense of all the information gathered.
 Questions: It seeks to ask questions to better understand people or their
environment. The questions drive each research study.
 Finding answers: This is the expected outcome of formal research - answering
important questions about our world.
Formal Research Methods
 Develop the Research Question. Often, this involves an issue you are naturally
passionate about or interested in understanding better. ...
 Consult Existing Literature. ...
 State a Hypothesis. ...
 Develop the Research Design. ...
 Conduct the Study. ...
 Analyze Data and Integrate Information. ...
 Communicate Results.
5. Informal Experimental Design
Informal experimental designs are those designs that normally use
a less sophisticated form of analysis based on differences in
magnitudes, whereas formal experimental designs offer relatively
more control and use precise statistical procedures for analysis.
Business Research Methods
Business Research Methods
Business Research Methods
Business Research Methods
Business Research Methods

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Business Research Methods

  • 1.
  • 2. BUSINESS RESEARCH DEFINITION Business research is a process of acquiring detailed information of all the areas of business and using such information in maximizing the sales and profit of the business. Such a study helps companies determine which product/service is most profitable or in demand. In simple words, it can be stated as the acquisition of information or knowledge for professional or commercial purpose to determine opportunities and goals for a business.
  • 3. WHAT IS BUSINESS RESEARCH DESIGN? Research design can be defined as a framework or blue print for conducting business research project in an efficient manner. It details the procedures necessary for collection, measurement and analysis of information which helps the researcher to structure/or solve business research problems.
  • 4. TYPES OF RESEARCH DESIGN Business research plays an important role in the business intelligence process. This is usually conducted to determine if a company can succeed in a new region through competitive analyses and better marketing approach. Keeping its dynamics into consideration, the research design is categorized into two different perspectives, i.e. Quantitative Research Design & Qualitative Research Design
  • 5. 1. Quantitative research Quantitative research involves methodical analysis of phenomena by means of collecting quantifiable data and then carrying out mathematical, statistical, or computing techniques. To conduct quantitative research, methods like online survey, questionnaires, sampling methods etc. are used and the outcome from these methods is represented in numerical form.
  • 6. Quantitative Research options that exist for Market Researchers 1 . Primary Quantitative Research Methods This type of research is mostly used in conducting marketing research. Primary quantitative research depends on the data collected rather than on the data collected from the previous research conducted. Primary quantitative research method has for sub-types.
  • 7. 2 . Secondary Quantitative Research Method It also is known as desktop research and uses existing data to conduct research. The data collected is summarized and organized to enhance the effectiveness of research. The data is collected from various sources like research reports, libraries, government records, and internet. The secondary Quantitative research is also to validate the outcomes of primary Quantitative research. Hence, the outcomes from primary Quantitative research can be validated or refuted on the basis of previously collected data.
  • 8. 1. PRIMARY QUANTITATIVE RESEARCH METHODS
  • 9. A) Survey Research Cross-sectional survey This is also called observational survey conducted on a target population at a given point of time. It helps to evaluate different variables at the same time. It’s mostly used in retail stores, health care industry or SMEs. Longitudinal Survey It’s also an observational survey, in which research is conducted at various time durations. Here one variable is evaluated at different times where a sequence of events matters. It’s mostly use in medicine and applied sciences fields.
  • 10. B) Correlational Research This research design investigates relationships between variables without the researcher controlling or manipulating any of them. A correlation reflects the strength and/or direction of the relationship between two (or more) variables. Correlations can be strong or weak and positive or negative. Sometimes, there is no correlation.
  • 11. Positive correlations: Both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: As the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation. No correlation: There is no relationship between the two variables. A correlation coefficient of 0 indicates no correlation.
  • 12. C) Causal-Comparative Research (Quasi-experimental research) This research method works on the comparison. In this research experiment, the researcher identifies the cause-effect relationship between two or more variables. Out of two variables, one variable is dependent on the other. To conduct this research, the researcher establishes one variable without modifying it and observe its impacts on another variable. This research is not only restricted to the statistical analysis of two variables, however, but impacts can also be observed on different variables in a group. For example: the impacts of sports on child’s Education or the impact of parents’ divorce on children.
  • 13. D) Experimental Research : This research is also referred to as true experimentation. It’s based on one or more than one theory. This type of research is mostly used in natural sciences or in social science because there are many theories to be proved right or wrong. Multiple theories can be used to conduct this research. Researcher establishes the statement and after establishing this researcher makes efforts to verify whether the statement is valid or invalid. For example: It’s a boon to have a dedicated teaching staff for high success rate of students or conventional methods of cooking are better than the modern methods.
  • 14. 2. SECONDARY QUANTITATIVE RESEARCH METHOD :
  • 15. A ) Government and Non-government resources : The data collected from government records are reliable and detailed, therefore, it can be used to validate quantitative research’s outcome. B) Data available on the Internet : Comprehensive information about various research topics is available on the internet through forums, blogs, and websites where people share about their study and outcomes of research conducted by them. A researcher can use that information to conduct his own research.
  • 16. C) Educational Institutes : D) Public Libraries : E) Commercial information sources: Newspaper, magazines, Radio, journals, and Television are a great source of information and a lot of data can be obtained from these resources to conduct secondary research. These commercial information sources have fresh information about economic developments, market research, political agenda, and demographic segmentation etc. however, not all commercial information sources are reliable. One should choose information from them on the basis of their credibility.
  • 17. 2. Qualitative research Qualitative research relies on data obtained by the researcher from first- hand observation, interviews, questionnaires, focus groups, participant- observation, recordings made in natural settings, documents, case studies, and artifacts. The data are generally non-numerical. Example: unstructured interviews which generate qualitative data through the use of open questions. This allows the respondent to talk in some depth, choosing their own words. This helps the researcher develop a real sense of a person's understanding of a situation.
  • 18.
  • 19. When to use qualitative research  It’s used when researcher needs to capture accurate, in-depth insights and “factual data”.  Developing a new product or generating an idea.  Studying your product/brand or service to strengthen your marketing strategy.  To understand ones strengths and weaknesses.  Understanding purchase behavior.  To study the reactions of your audience to marketing campaigns and other communications.
  • 20.
  • 21. WHAT IS THE SIGNIFICANCE OF RESEARCH DESIGN A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources. This allows you to draw valid, trustworthy conclusions.
  • 23. EXPLORATORY RESEARCH Exploratory research is a methodology approach that investigates research questions that have not previously been studied in depth. Exploratory research is often qualitative in nature. However, a study with a large sample conducted in an exploratory manner can be quantitative as well.
  • 24. PURPOSE OF EXPLORATORY RESEARCH Used to investigate a problem which is not clearly defined. It helps to provide better understanding of the existing problem, but will not provide conclusive results. A researcher has to start with a general idea and uses this research as a medium to identify issues, that can be the focus for future research.
  • 25. The researcher should be willing to change his/her direction/subject to the revelation of new data or insight. It’s usually carried out when the problem is at a preliminary stage. It is often referred to as grounded theory approach or interpretive research as it used to answer questions like what, why and how.
  • 26.
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  • 32. A customer experience survey allows you to capture a customer’s emotions based on their experiences at various touch points. To identify the most important touch points of your customers, you must map the journey of the customers. Example: you want to track the customer experience from the moment they think of your brand to their return as a repeat customer in the future. In this process, you should keep a close eye on what the customers say about your brand at every METHOD 2 - Experience Survey
  • 33. Why are customer experience surveys so important? 1. Helps customer retention 2. Helps identify your promoters 3. Help gather data to make informed decisions
  • 34. Tips for designing customer experience (CX) survey questions DO’s DON’T’s 1. Set your goals 2. Choosing the right tool 3. Select a template and customize it if needed 4. Use open-ended questions 5. Review your survey 1. Ask too many questions 2. No “mandatory” questions 3. Don’t go too deep in the demographics 4. Avoid using jargon or technical terms 5. Remember, it’s the “Age of Technology”
  • 35. A focus group is a group interview involving a small number of demographically similar people or participants who have other common traits/experiences. Their reactions to specific researcher/evaluator-posed questions are studied. This group is a small-group guided by a trained leader. It is used to learn about opinions on a designated topic, and to guide future action. Examples: A focus group of parents of preschoolers meets to discuss child care needs. METHOD 3 – FOCUS GROUP
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  • 38. METHOD 4 – CASE STUDY/ COMPREHENSIVE CASE METHOD A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research. A case study is an in-depth, detailed examination of a particular case (or cases) within a real-world context. For example, case studies in medicine may focus on an individual patient or ailment; case studies in business might cover a particular firm strategy or a broader market; similarly, case studies in politics can range from a narrow happening over time
  • 39.
  • 40. 2. CONCLUSIVE RESEARCH DESIGN The conclusive research design is used to obtain information that can be used to reach conclusions or make decisions. Conclusive research design usually involves the application of quantitative methods of data collection and data analysis. Moreover, conclusive studies tend to be deductive in nature and research objectives in these types of studies are achieved via testing hypotheses. Conclusive research can be sub-divided into two major categories:  Descriptive or statistical research, and.  Causal research.
  • 41. Descriptive research Descriptive research design is a type of research design that aims to obtain information to systematically describe a phenomenon, situation, or population. More specifically, it helps answer the what, when, where, and how questions regarding the research problem, rather than the why.
  • 42.
  • 43.
  • 44. CROSS SECTIONAL & LONGITUDINAL STUDY 2. Cross Sectional Study- A cross-sectional study is a type of observational study that analyzes data from a population, or a representative subset, at a specific point in time—that is, cross-sectional data. Here the investigator measures the outcome and the exposures in the study participants at the same time. 2. Longitudinal Study- A longitudinal study is a research design that involves repeated observations of the same variables over short or long periods of time. It is often a type of observational study, although it can also be structured as longitudinal randomized experiment.
  • 45.
  • 46. 3. Experimental Research Design – Meaning Experimental design is the process of carrying out research in an objective and controlled fashion so that precision is maximized and specific conclusions can be drawn regarding a hypothesis statement. Generally, the purpose is to establish the effect that a factor or independent variable has on a dependent variable.
  • 47. Types of Experimental Research Design? 1. Pre-experimental Research Design In pre-experimental research design, either a group or various dependent groups are observed for the effect of the application of an independent variable which is presumed to cause change. It is the simplest form of experimental research design and is treated with no control group. Although very practical, experimental research is lacking in several areas of the true- experimental criteria. The pre-experimental research design is further divided into three types  One-shot Case Study Research Design  One-group Pretest-posttest Research Design:  Static-group Comparison
  • 48. 2. Quasi-experimental Research Design The word "quasi" means partial, half, or pseudo. Therefore, the quasi-experimental research bearing a resemblance to the true experimental research, but not the same. In quasi-experiments, the participants are not randomly assigned, and as such, they are used in settings where randomization is difficult or impossible.  This is very common in educational research, where administrators are unwilling to allow the random selection of students for experimental samples.  Some examples of quasi-experimental research design include; the time series, no equivalent control group design, and the counterbalanced design.
  • 49. 3. True Experimental Research Design The true experimental research design relies on statistical analysis to approve or disprove a hypothesis. It is the most accurate type of experimental design and may be carried out with or without a pretest on at least 2 randomly assigned dependent subjects. The true experimental research design must contain a control group, a variable that can be manipulated by the researcher, and the distribution must be random. The classification of true experimental design include: The posttest-only Control Group Design The pretest-posttest Control Group Design Solomon four-group Design
  • 50. 4. Statistical Experimental design The (statistical) design of experiments (DOE) is an efficient procedure for planning experiments so that the data obtained can be analyzed to yield valid and objective conclusions. DOE begins with determining the objectives of an experiment and selecting the process factors for the study.
  • 51. 4. Formal Experimental Design Formal research is the process by which we learn new information to better understand ourselves, each other, and the world with which we interact. It has the following characteristics:  Systematic: It is a predictable and consistent set of steps that are used to provide reliable results.  Organizational: It has a highly organized structure that allows the researcher to integrate and make sense of all the information gathered.  Questions: It seeks to ask questions to better understand people or their environment. The questions drive each research study.  Finding answers: This is the expected outcome of formal research - answering important questions about our world.
  • 52. Formal Research Methods  Develop the Research Question. Often, this involves an issue you are naturally passionate about or interested in understanding better. ...  Consult Existing Literature. ...  State a Hypothesis. ...  Develop the Research Design. ...  Conduct the Study. ...  Analyze Data and Integrate Information. ...  Communicate Results.
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  • 56.
  • 57. 5. Informal Experimental Design Informal experimental designs are those designs that normally use a less sophisticated form of analysis based on differences in magnitudes, whereas formal experimental designs offer relatively more control and use precise statistical procedures for analysis.

Editor's Notes

  1. Quantitative research involves methodical analysis of phenomena by means of collecting quantifiable data and then carrying out mathematical, statistical, or computing techniques. To conduct quantitative research, methods like online survey, questionnaires, sampling methods etc. are used and the outcome from these methods is represented in numerical form. After that, a careful analysis of these results is carried out to foresee the future of the product and changes are made accordingly. For example, a survey has been conducted to determine, how much total amount of time a restaurant staff takes to serve to a customer after he walked into the restaurant. A customer satisfaction survey is prepared where questions like how long do you have to wait before a waiter come to take your order, how frequently customers walk into a restaurant and other similar questions. quantitative research is mostly conducted in social environments on statistical data collected using this research method. In this type of research, statistician and researchers form theories and mathematical frameworks that refer to the quantity being researched. The templates used in quantitative research are elaborated, objective and investigational in nature. unlike other research, the outcome of this research method is unbiased, statistical, and logical. Data is collected using structured techniques and performed on a large population so that the general outcome can be obtained.
  2. A) Survey Research this research is the most fundamental tool for all types of quantitative researches techniques. different types of polls like online survey, online polls, paper questionnaires, web-intercept surveys are used to ask a set of questions from a sample of participants. This is the most common technique used by both small and big organizations to understand their customers and to know about their view about their products. In this research, multiple questions can be asked from the customers and then it can be analyzed to produce numerical data. This research is the first step before any other type of research is conducted. This research can be conducted on a single group or on multiple groups followed by comparative analysis. Participants of this research must be randomly selected. In this way, rational outcomes can be obtained from a vast variety of participants. Conventionally, this type of research was conducted by conducting face-to-face interviews or by making phone calls, but nowadays, because of the intervention of technology data can be collected by online survey or online polls. Cross-sectional and longitudinal are two types of surveys which can be used to conduct this type of quantitative research. 1) Cross-sectional survey : This survey is also called observational survey. This survey is conducted on a target population at a given point of time. In this survey, the researcher can evaluate different variables at the same time. Cross-sectional surveys are used to conduct research mostly in retail stores, health care industry or SMEs. 2) Longitudinal Survey : This survey is also an observational survey, but in this type of survey, research is conducted at various time durations. This way researcher can analyze the thought-processes and behavior of different participants. In a longitudinal survey, one variable is evaluated at different times. This type of surveys is useful in circumstances where a sequence of events matters. Longitudinal surveys are the right choice to use in medicine and applied sciences fields.
  3. the purpose of conducting this type of research is to establish a relationship between two closely woven entities and to understand how one entity influences others and the changes observed are analyzed. To conduct this study, a researcher at least needs two separate groups. With the help of this method naturally occurring relationship between two entities is analyzed. Quantitative research is used to associate two or more than two variables by means of mathematical analysis methods. Researcher modifies one variable to observe its impacts on another variable. The appropriate examples of correlational research are the relationship between sadness and depression, and the relationship between students and 6th-grade class. There are three possible outcomes of a correlation study: a positive correlation, a negative correlation, or no correlation. Researchers can present the results using a numerical value called the correlation coefficient.2 Positive correlations: Both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: As the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation. No correlation: There is no relationship between the two variables. A correlation coefficient of 0 indicates no correlation.
  4. Secondary Quantitative Research also is known as desktop research and uses existing data to conduct research. The data collected is summarized and organized to enhance the effectiveness of research. The data is collected from various sources like research reports, libraries, government records, and internet. The secondary Quantitative research is also to validate the outcomes of primary Quantitative research. Hence, the outcomes from primary Quantitative research can be validated or refuted on the basis of previously collected data.
  5. 1. One-on-one interview: Conducting in-depth interviews is one of the most common qualitative research methods. It is a personal interview that is carried out with one respondent at a time. This is purely a conversational method and invites opportunities to get details in depth from the respondent. One of the advantages of this method provides a great opportunity to gather precise data about what people believe and what their motivations are. If the researcher is well experienced asking the right questions can help him/her collect meaningful data. If they should need more information the researchers should ask such follow up questions that will help them collect more information. These interviews can be performed face-to-face or on phone and usually can last between half an hour to two hours or even more. When the in-depth interview is conducted face to face it gives a better opportunity to read the body language of the respondents and match the responses. 2. Focus groups: A focus group is also one of the commonly used qualitative research methods, used in data collection. A focus group usually includes a limited number of respondents (6-10) from within your target market. The main aim of the focus group is to find answers to the “why” “what” and “how” questions. One advantage of focus groups is, you don’t necessarily need to interact with the group in person. Nowadays focus groups can be sent an online survey on various devices and responses can be collected at the click of a button. Focus groups are an expensive method as compared to the other online qualitative research methods. Typically they are used to explain complex processes. This method is very useful when it comes to market research on new products and testing new concepts. 3. Ethnographic research: Ethnographic research is the most in-depth observational method that studies people in their naturally occurring environment. This method requires the researchers to adapt to the target audiences’ environments which could be anywhere from an organization to a city or any remote location. Here geographical constraints can be an issue while collecting data. This research design aims to understand the cultures, challenges, motivations, and settings that occur. Instead of relying on interviews and discussions, you experience the natural settings first hand. This type of research method can last from a few days to a few years, as it involves in-depth observation and collecting data on those grounds. It’s a challenging and a time-consuming method and solely depends on the expertise of the researcher to be able to analyze, observe and infer the data. 4. Case study research: The case study method has evolved over the past few years and developed into a valuable qual research method. As the name suggests it is used for explaining an organization or an entity. This type of research method is used within a number of areas like education, social sciences and similar. This method may look difficult to operate, however, it is one of the simplest ways of conducting research as it involves a deep dive and thorough understanding of the data collection methods and inferring the data. 5. Record keeping: This method makes use of the already existing reliable documents and similar sources of information as the data source. This data can be used in new research. This is similar to going to a library. There one can go over books and other reference material to collect relevant data that can likely be used in the research. 6. Process of observation: Qualitative Observation is a process of research that uses subjective methodologies to gather systematic information or data. Since, the focus on qualitative observation is the research process of using subjective methodologies to gather information or data. Qualitative observation is primarily used to equate quality differences. Qualitative observation deals with the 5 major sensory organs and their functioning – sight, smell, touch, taste, and hearing. This doesn’t involve measurements or numbers but instead characteristics.
  6. Review/Survey of concerned Literature: When the investigator proceeds on the path of research he has to take advantage of his predecessors. This technique will save time, cash, and effort. This kind of data can be obtained from professional research organizations, websites, newspapers, magazines, journals of the government, etc. Review and perusal of pertinent literature is very helpful for researcher. Apart from literature directly related to the problem in hand, the literature that is related to similar problems is also very useful. It helps in the formulation of the problem. 2. Experience Survey: Some people are great source of information. It is better to interview those individuals who know about the subject. The objectives of such survey is to obtain insight into the relationship between variables and new ideas relating to the research problem. The respondents picked are interviewed by the researcher. The researcher should prepare an interview schedule for the systematic questioning of informants. Thus an experience survey may enable the researcher to define the problem more consciously and help in the formulation of hypothesis. This survey may as well also offer information about the practical possibilities for doing different types of research. A number of interviews can be very costly. Well-trained interviewers demand high salaries; data are gathered from one respondent at a time; and, if recorded, audio/video recordings should be transcribed, coded, and examined. This method, however, can deliver important insights and more often than not is well worth the effort. 3. Analysis of Insight Stimulating Cases: This includes the study of one or a few situations. It is focused on complex situations and problems; this kind of situations occur when the interrelations of several individuals are important. In this method of Exploratory Research, some units are analyzed; each unit is called Case. Study of relationships between different factors of each case is more important and not the number. It is specifically helpful in situations where there is little experience to serve as a guide. Attitude of the investigator, the intensity of the investigator and the ability of the researcher to draw together diverse information into a unified interpretation are the main features which make this method a suitable procedure for evoking insights. 4. Focus Groups: This is certainly the most used method in research. In a focus group, only a few individuals (e.g., 8-12) are brought together to speak about some  topic of interest. The dialogue is coordinated by a moderator. The majority of the organizations engaging in the focus groups, first screen the candidates to find out who will compose the particular group. Organizations also make sure to avoid groups, in which some of the participants have their relatives and friends, as this results in a one-sided discussion. Group interaction is the key factor that differentiates focus group interviews from experience survey that are conducted with one respondent at a time. Furthermore it is the key advantage of the focus group over the majority of exploratory techniques. Due to their interactive nature, ideas sometimes drop “out of the blue” in a focus group discussion.
  7. A literature review is an overview of the previously published works on a specific topic. The term can refer to a full scholarly paper or a section of a scholarly work such as a book, or an article. Either way, a literature review is supposed to provide the researcher/author and the audiences with a general image of the existing knowledge on the topic under question. A good literature review can ensure that a proper research question has been asked and a proper theoretical framework and/or research methodology have been chosen. To be precise, a literature review serves to situate the current study within the body of the relevant literature and to provide context for the reader. In such case, the review usually precedes the methodology and results sections of the work. Producing a literature review is often a part of graduate and post-graduate student work, including in the preparation of a thesis, dissertation, or a journal article. Literature reviews are also common in a research proposal or prospectus (the document that is approved before a student formally begins a dissertation or thesis)
  8. 1. Helps customer retention A happy customer is a returning customer. By tracking the entire customer journey, you can anticipate if any product or service is not heading in the right direction. Based on customer loyalty, you can also forecast future sales. Effective changes can be immediately incorporated to retain customers. 2. Helps identify your promoters A customer experience survey helps identify brand promoters or advocates. You can use the Net Promoter Score (NPS) as a starting point to categorize customers as promoters or detractors. You can also use this information to send targeted messages to customers and help convert detractors into promoters. 3. Help gather data to make informed decisions The best business decisions are based on data and rarely on a fluke. By gathering data, businesses can function smoothly and understand the choices of their customers.
  9. Do: 1. Set your goals The first question you need to answer before you start designing your survey: what do you want the investigation to accomplish? Is it customer feedback on one touchpoint or rating the entire experience? While the broader goal is usually measuring customer satisfaction (CSAT), writing down your goal simplifies your survey process. 2. Choosing the right tool QuestionPro CX is one of the most effective solutions for evaluating the customer journey. The real-time dashboard allows you to begin analyzing responses as they come in. It also has a detractor recovery feature to help resolve customer issues quickly before you receive negative reviews or publicity. 3. Select a template and customize it if needed It’s always easier to work on a template rather than designing your survey from scratch. You can also customize it by using your brand logos and colors to make it consistent with your brand. 4. Use open-ended questions Open-ended questions often generate better responses than structured or multiple-choice questions. Customers often give more insights into their opinions when you offer them an open format. Include open text questions in your customer satisfaction survey questions to encourage customers to open up about their experience. 5. Review your survey Once you finish designing, review it carefully for any loose ends. Put it through a pretest via a focus group to understand the responses in a better manner. Don’t: 1. Ask too many questions Keep your survey short and sweet. Respondents hate answering pages of questions that eat away at their free time. Ask what is most important in terms of collecting data. The most effective surveys have about five to ten relevant questions. 2. No “mandatory” questions You can’t expect your respondents to answer every question in the survey. If you require an answer, you can expect your response rate to fall. Your respondents will likely lose interest and leave halfway through. 3. Don’t go too deep in the demographics Usually, demographic questions may seem like a good option, but using these questions where it isn’t needed only makes your survey lengthy. Even if you want to include such items, it is advisable to ask them towards the end. 4. Avoid using jargon or technical terms The survey should be easy to read and simple enough to understand. There is a fair possibility that your respondents may not be aware of the technical terms used by your organization. A customer who feels confused is unlikely to complete the survey or give you accurate answers. 5. Remember, it’s the “Age of Technology” While you are pretesting your online survey, make sure that you try it across all handheld devices, including cell phones, tablets, and laptops. This pretest will give you a better idea of how the survey will appear and how readable it is in a different medium. These Dos and Don’ts will help you create an engaging customer experience survey. Get started with QuestionPro CX to create your first survey and begin tracking the overall experience of your customers today.
  10. Experimental research is a scientific approach to research, where one or more independent variables are manipulated and applied to one or more dependent variables to measure their effect on the latter. The effect of the independent variables on the dependent variables is usually observed and recorded over some time, to aid researchers in drawing a reasonable conclusion regarding the relationship between these 2 variable types. The experimental research method is widely used in physical and social sciences, psychology, and education. It is based on the comparison between two or more groups with a straightforward logic, which may, however, be difficult to execute. Mostly related to a laboratory test procedure, experimental research designs involve collecting quantitative data and performing statistical analysis on them during research. Therefore, making it an example of quantitative research method.
  11. Pre-experimental Research Design In pre-experimental research design, either a group or various dependent groups are observed for the effect of the application of an independent variable which is presumed to cause change. It is the simplest form of experimental research design and is treated with no control group. Although very practical, experimental research is lacking in several areas of the true-experimental criteria. The pre-experimental research design is further divided into three types One-shot Case Study Research Design In this type of experimental study, only one dependent group or variable is considered. The study is carried out after some treatment which was presumed to cause change, making it a posttest study. One-group Pretest-posttest Research Design:  This research design combines both posttest and pretest study by carrying out a test on a single group before the treatment is administered and after the treatment is administered. With the former being administered at the beginning of treatment and later at the end. Static-group Comparison:  In a static-group comparison study, 2 or more groups are placed under observation, where only one of the groups is subjected to some treatment while the other groups are held static. All the groups are post-tested, and the observed differences between the groups are assumed to be a result of the treatment. Quasi-experimental Research Design  The word "quasi" means partial, half, or pseudo. Therefore, the quasi-experimental research bearing a resemblance to the true experimental research, but not the same.  In quasi-experiments, the participants are not randomly assigned, and as such, they are used in settings where randomization is difficult or impossible.  This is very common in educational research, where administrators are unwilling to allow the random selection of students for experimental samples. Some examples of quasi-experimental research design include; the time series, no equivalent control group design, and the counterbalanced design.