Research Methods
Research is an activity that we engage in many aspects and
stages of our lives, especially as university students. Research can be
described as a way of finding, retrieving and analyzing information in order to
arrive at conclusions or decisions. According to Webster Dictionary (2013),
research is defined as “careful study that is done to find and report new
knowledge about something”. It can help in gaining new knowledge or skills or enhance
the existing knowledge.
Clarke (2005) explains about 2 types of research models
known
1.
Qualitative – contains non numerical data and
involves extensive observations and interviews that provides situational
specific results
2.
Quantitative – provides numerical data which is
clear and more controlled involving statistical analysis, samples, procedures
and hypotheses
The following table further explains these 2 types in
respect to various assumptions

Figure 1
- Research models (Clarke, 2005)
Apart from the above 2 classifications, it can be further
classified as basic, applied, experimental, correlational or historical as
well.
Ranasinghe (2011) shows the basic steps of research as
follows;
1.
Devising a research problem – selecting a
problem that is a feasible risk. Research problems can devised through reading,
brainstorming, challenging common beliefs, discussions with others etc.
2.
Preparing of a research design – includes aims
of research, solutions, literature review, sampling methods, selected design
approach, timelines etc.
3.
Constructing instruments for data collection
4.
Sample selection
5.
Writing the research proposal
6.
Data collection – through primary or secondary
data
7.
Data processing
8.
Report writing
Research methods
Data collection methods for research can be mainly divided
as primary research (data collected for first time) and secondary research (collecting
existing data – reports, archives, books etc.).
v
Primary
Data
Primary data are used to build up a theory or test a theory
and can be conducted in various ways such as interviews, questionnaires,
experiments, surveys, observations etc. This is an imperative stage of a
project as it will help to determine the core problem and to acquire the
necessary information. Driscoll (2011)
states that conducting primary research ethically is important as it collect
raw data through personal interactions and should be done in a way that it will
not disrupt processes and privacy. Driscoll (2011) provides certain pointers in
order to conduct ethical primary research
- · Voluntary participation – permission should be obtained prior to conducting research from the relevant parties and officials
- · Confidentiality and anonymity – specific information revealed by participants should be anonymous as they will be sensitive information related to them or the organization.
- · Researcher bias – personal judgments and opinions shouldn't be brought forward when gathering and presenting information as it will lead to biasness
The following diagram depicts a timeline that can be used
for primary research
Figure 2
- Primary research timeline (Driscoll, 2011)
Types of primary
research
1. Surveys
Surveys are method of quantitative research
where a target population is selected and a questionnaire is administered in
order to obtain information and data on the same variables are collected for or
from each case. According to Queens Treasury and Trade (2013), the magnitude of
the sample of the survey depends on the purpose of the study as it gathers
information only from the interested parties. If other methods of research
don’t yield the necessary information and if a clear idea is present about the
information that is required, using a survey can be recommended as appropriate.
Queens Treasury and Trade (2013) further
state some pointers to be kept in mind when conducting a survey;
·
Practicality – cost effectiveness, accuracy,
willingness to give information, time management
·
Availability of necessary resources
·
Who, what and how to ask questions
·
Legislative power/authority to conduct surveys
As stated by Queens Treasury and Trade
(2013) the following are the main steps involved in a survey
ü
Planning and designing
ü
Testing and modifying
ü
Conducting the survey
ü
Processing and analysis
In order to understand different methods of
conducting surveys (postal, face to face, telephone, email), a role play was
done by 2 student groups. The following table depicts the characteristics of
these methods which were observed
Type
|
Strengths
|
Weaknesses
|
Face to face
|
·
Reliable responses can be obtained through
observation of behavior and expressions
·
Easy determination of the proper meaning of
the questions asked
·
As there’s a obligation to answer, the rate of
answering is high
|
·
Sometimes people doesn’t like to be disturbed
·
Reluctance of giving honest opinions
·
Time consumption
|
Post
|
·
Ability to obtain honest opinions
·
Ability to reach out to a wider geographic and
demographic range
|
·
Time consumption
·
Low responses
·
Loss of mail along the way
·
Inability to authenticate and clarify
·
Expensive
|
Telephone
|
·
Ability to obtain honest opinions as its not
face to face
·
Higher response rate as people answer any call
|
·
Less reliable due to the possibility of
obtaining wrong information
·
Inability to observe the proper behavior and
expressions
|
Computer
|
·
Can reach to a wider respondent base
·
Less costly
·
Availability of ample time to answer questions
|
·
Less reliable
·
Less access to computer and other accessible
devices
|
Table 1
- Analysis of survey methods
2. Interviews
As stated by Kajornboon (2013) interviews
are a popular way of conducting primary research as it helps in obtaining
expert knowledge in particular areas. Interviews can be one on one question and
answer session that can be done individually or as a group through face to
face, phone or video conferences.
The main advantage of interviews is the
connection that occurs between the interviewer and interviewee which leads to
the obtaining of valuable information. Interviews also helps in clarifying and
clear understanding of problems, discussion of sensitive information, obtaining
personal opinions and view points and the ability to raise follow-up or
impromptu questions when needed. However interviews can be a highly expensive
and time consuming process and the area covered can be very minute (Evalued,
2013)
The following table depicts some interview
formats as stated by University of Western Ontario (2013)
Type
|
Description
|
Structured
|
Same set of predetermined questions
are asked from every1 in the same manner. This helps in obtaining different
answers for the same question however this doesn’t ensure how the interviewee
interpret the question hence posing a disadvantage.
|
Semi structured
|
There are certain number of standard
questions and some different questions depending on the interviewee. Used in
quantitative analysis, this helps in obtaining deeper answers according to
the interviewee’s expertise and knowledge
|
Unstructured
|
There are no
pre-determined set of questions and is a casual and a flexible method of
interviewing where the conversation flows according to the interviewees
knowledge. Drawback of this include that important questions may be
eliminated and the conversation may go off track.
|
Table 2-
Interview Formats (University of Wester Ontario, 2013)
3. Questionnaires
Amnesty Organization (2013) states that
questionnaires are an efficient method of obtaining direct and short answers as
the replies are written in a limited space. Usually this type is used when the
researcher is confident about the exact questions needed to be asked in order
to gain the necessary information. According to University of Johannesburg
(2005) questionnaires can either be self-administered (printed version are
given to be filled out) or interviewer-administered (questioning and answering
is done verbally while the researcher records the answer as well).
It is important to know how to design a
proper questionnaire where the questions are formed and worded in a way that
the users can easily answer. The following are some ways of preparing an
effective questionnaire in accordance to University of Johannesburg (2013) and
Malhotra (2013)
·
Identify and understand the target population
·
Prepare clear and brief questions to cover the
objectives. Each question should be justified with a purpose and if questions
are lengthy, it should be broken down to parts
·
A logical flow of questions should be present
·
Have a proper structure of questions asked such
as structured, unstructured, multiple choice, yes/no, factual etc.
·
Examples for structure of answering can be given
·
A pilot study can be conducted for a selected
group in order to determine the success of the questionnaire and to detect
problems
Through questionnaires researcher can
obtain a higher rate of answers as it can be given to more people in a given
time where the respondents tend to answer truthfully due to the assurance of
anonymity. It also helps in obtaining a standard set of answers. However
disadvantages of this can be misinterpretation of questions, inability to clarify
questions by the respondents and inability to ask all the necessary questions.
(History Learning Site, 2013)
4. Observations
Observations involves in noting down the
environment, activities, processes etc. that the researcher is observing in
order to gather necessary data. This method helps the researcher to understand
the processes involved and come to conclusions which can be unbiased as there
are visual aids involved in comparison to the mental images created from other
methods.
According to Holah (2013) the following are
some types of observations that can be conducted;
·
Participant vs. non-participant observations –
when the observer participates in the process that is being observed in order
to obtain a 1st hand experience is known as participant observation
while non-participant observation involves the external observation of process
without participation.
·
Structured vs. unstructured observations –
structured observations includes recording of results in a systematic way
(having coding methods for observations which yields quantitative data while
unstructured observations records without a predetermined system which yields qualitative
data.
·
Controlled vs. non controlled observations –
observations done under influences of external forces are controlled
observations whole observations done in natural state of events are known as
non-controlled observations.
According to University of Strathclyde (2013) observations help in obtaining real time data and
experience in certain events which will help in collecting quality information.
As it can be recorded through devices such as cameras, it can be stored for
later viewing. It also causes minimal disruptions and saves time as there are
no personnel involved as in interviews or questionnaires. However observations
can be biased in accordance with the observer’s personal opinions.
Organizations may be reluctant to allow people to observe their processes due
to confidentiality issues.
Question Types
In different primary research methods, it’s important to
know which questions and types to ask in order to obtain valuable information.
There are several types of questions used in data collecting tools which are
discussed below.
Ø
Open
ended questions – these types of questions are asked in order to obtain a
general understanding of the situation. Mostly helpful in obtaining opinions
and reasons this type does not have choices of answers to choose from hence
providing flexibility and freedom in answering hence not forcing the
participants in selecting specific answers. Although open ended questions bring
out rich and complex data, the disadvantages of include difficulty in analyzing
and coding, excess time consumption in answering and analyzing and people being
reluctant to answer. (University of Wisconsin, 2013)
Ø
Close
ended questions – these type of questions are used to obtain specific
answers, the strength of opinions and in situations where the researcher is
aware of an issue. Here a set of answers are given to choose from thus
narrowing down the answer range thus obtaining a uniform set of data. This type
is easier and quick to answer thus people tend to provide answers. Ability to code
and analyze answers is high if an appropriate structure is used. However the
weaknesses of this type includes answers being forced out due to the provision
of a predefined set of answers, options such as “none of the above” may not
give precise results and if the appropriate range of answers aren’t given, it
might lead to false information being obtained. (University of Wisconsin, 2013)
Ø
Dichotomous
questions – these type only involves in 2 answers such as yes/no,
true/false male/female etc. Dichotomous questions are appropriate to use in
situations where there are only 2 possible outcomes and mostly questionnaires
contains only a limited amount of these type of question as there is no rich
data obtained (Social Research Methods, 2013)
Ø
Rank
order scale questions – this type of questions uses a scale where rankings
can be done in order to obtain data. Mostly used in obtaining user preferences
and importance of a particular area, it’s best suitable for paper and online
based questionnaires and surveys. According to HowTo (2013), the 2 types of
scales used are Linkert Scale and Semantic Differential Scale.
·
Linkert Scale – here the participants are given
a question with 5 distinct levels of scales to choose from where each option is
describes the level of the score which helps in analysis of scores.

Figure 3 - Linkert Scale (HowTo, 2013)
·
Semantic Differential Scale – here apart from assigning a weightage to each score, the beginning and end of the scale is also labeled with a degree factor.
Figure 4 - Semantic Differential Scale
(HowTo, 2013)
When obtaining answers, there are different
types that can be obtained. The following are some response types that was
discussed in the lecture
o
Nominal data – numbers assigned as identifiers. Helps
to produces charts/graphs
o
Ordinal data – numbers used for ranking. Helps in
calculating variances, mode, mean etc.
o
Interval data – special type of ordinal data
where ranks are given as decimals
o
Ration – type of ordinal data where a value is
given in comparison to another
Question structures
When planning questionnaires or surveys, the way in which
questions are positioned is important as it will affect the way the subject is
approached as well as the user enthusiasm in answering. As stated by the lecturer,
the following are some question structures that can be used;
·
Pyramid structure – starts with specific
questions (close ended, yes/no) and leads to broad questions. This helps
structuring the answers gradually as well as to warm up the user as he progress
through the questionnaire
·
Funnel structure – start is done through broad
questions leading to an end with structured, specific questions. Helps in
obtaining quantifiable and candid results.
·
Diamond structure – this is a mixture of both. Starts
with structured, followed by broad and ending again with structured questions.
Choosing a sample
When using a sample population in order to conduct
questionnaires or surveys, use of different sampling techniques is important.
Sampling can be either probability sampling (based on mathematical approach and
use logic to sample) or non-probability sampling (random sampling with the
probability of having an error rate beyond the margin)
|
Probability
sampling methods
|
Non
probability sampling methods
|
|
Simple random
|
Convenience
|
|
Cluster
|
Quota
|
|
Stratified
|
Snowball
|
|
Systematic
|
Purposive
|
Table
4 - Sampling Methods (Bareriro and Albandoz, n.
d)
References
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