The document discusses various methods for collecting data in research. It describes primary and secondary data collection. Some key methods covered include observation, interviews, questionnaires, schedules, and surveys. For each method, it provides details on the process, types, advantages, and disadvantages. The goal of the document is to outline different approaches for gathering information needed to conduct research.
A pilot study is a small preliminary study conducted before a larger research study to test feasibility, reliability, and validity. It helps identify potential problems in design or methodology. Key reasons for conducting a pilot study include assessing the feasibility of processes, resources, human/data management, and scientific aspects like response and variance. Pilot studies allow researchers to test hypotheses, gain insights, and reduce risks of problems in the full study.
This document discusses various methods and instruments for collecting data in research studies. It begins by defining data and explaining why data collection is important. It then covers primary and secondary sources of data, as well as internal and external sources. The main methods of collecting primary data discussed are direct personal investigation through interviews, indirect oral investigation, case studies, measurements, and observation. Secondary data sources include published and unpublished sources. The document also discusses self-reported data collection methods like surveys, interviews, and questionnaires. Other methods covered include document review, focus groups, and observation. Mixed methods are also briefly discussed.
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This document discusses sampling and different sampling techniques. It begins by defining key terminology like population, sample, sampling frame, etc. It then describes different types of populations and the purposes of sampling, which include being economical, improving data quality, and allowing for quicker study results.
The document outlines the steps in the sampling process, which include identifying the target population, establishing a sampling frame, specifying the sampling unit and size, and selecting the sample. It also discusses factors that can influence the sampling process.
Finally, it describes different sampling techniques, distinguishing between probability and non-probability sampling. It provides details on specific probability techniques like simple random sampling, stratified random sampling, and cluster sampling.
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Questionnaires and schedules are commonly used methods for collecting primary data. Questionnaires involve sending a standardized set of questions to respondents to answer on their own and return. Schedules are similar but involve an enumerator personally collecting responses by asking questions directly and filling out the schedule. Both methods can be used for descriptive or explanatory research and involve designing valid and reliable questions, representative sampling, and defining relationships between variables. Questionnaires are cheaper but have higher non-response rates while schedules provide more complete information through personal contact but are more expensive due to field workers.
This document discusses different types of data classification. It defines classification as systematically grouping data based on common characteristics. There are several ways to classify data, including by the nature of the variable (e.g. quantitative, qualitative), source of collection (e.g. primary, secondary), presentation (e.g. grouped, ungrouped), and content (e.g. simple, manifold). Examples are provided for each type of classification.
Criteria of selecting a sampling procedureDr.Sangeetha R
This document discusses the criteria for selecting a sampling procedure. There are two costs involved in sampling: the cost of data collection and the cost of incorrect inference from the data. Incorrect inferences can arise from either systematic bias or sampling error. Systematic bias results from errors in the sampling procedure and cannot be reduced by increasing sample size, while sampling error can be reduced by a larger sample. Sources of systematic bias include an inappropriate sampling frame, defective measuring devices, non-response bias, the indeterminacy principle, and natural bias in self-reported data.
The document discusses various tools and methods used for data collection in research. It describes primary and secondary sources of data and some common methods for collecting data like interviews, questionnaires, observation, and various scales. Specific tools are discussed for each method - for interviews these include interview schedules and opinionnaires, questionnaires use tools like attitude scales and Likert scales, and observation uses tools like rating scales and checklists. Guidelines for developing questionnaires and uses of different types of scales are also provided.
This document discusses different types of research designs, including quantitative, qualitative, and mixed methods designs. It provides details on the following key points:
- Quantitative designs use numeric data and statistical analysis to objectively study variables and answer narrow questions. Experimental and survey designs are discussed.
- Qualitative designs rely on text data from open-ended questions and themes to subjectively understand participant perspectives. Narrative research, phenomenology, grounded theory, ethnography, and case study designs are outlined.
- Mixed methods designs combine quantitative and qualitative data and are used when one approach cannot fully answer the research questions. Sequential explanatory, sequential exploratory, concurrent triangulation, and concurrent nested designs are described.
This document discusses sampling methods for research. It defines key terms like population, sample, and sampling. It covers the main types of sampling:
1. Probability sampling methods like simple random sampling, stratified sampling, and systematic sampling which give all units an equal chance of selection.
2. Non-probability sampling methods like judgement, quota, and convenience sampling which do not give all units an equal chance and can be biased.
3. Factors to consider for good sampling include accuracy, precision, defining the target population, determining the sampling method and size. The document provides details on each sampling technique and their advantages and disadvantages.
This document discusses primary and secondary data collection. It defines primary data as original data collected specifically for the current study, such as through surveys, experiments, or observations. Secondary data is data previously collected by someone else for another purpose, such as published reports or census data. Both primary and secondary data have advantages and disadvantages for research. Primary data allows targeted questions but is more expensive and time-consuming to collect, while secondary data is easier to obtain but may not be specific to the current study. Qualitative and quantitative research methods are discussed for primary data collection.
The document discusses various data collection methods used in marketing research, including questionnaires, surveys, interviews, and observation. It provides classifications of data collection methods based on the method of communication (personal interview, telephone interview, mail survey) and based on the structure and disguising of questions (structured-nondisguised, non-structured-nondisguised, etc.). Specific techniques like focus groups and depth interviews are also summarized. The advantages and limitations of different data collection methods are presented.
This document defines probability sampling and describes four main types: simple random sampling, stratified random sampling, systematic random sampling, and cluster random sampling. Probability sampling involves selecting samples in a way that gives every member of the population an equal and known chance of being chosen. It aims to result in a sample that accurately represents the larger population. The document provides examples of how to select samples for each of the four probability sampling techniques.
Sampling is the process of selecting a subset of individuals from within a population to estimate characteristics of the whole population. There are several sampling techniques including simple random sampling, stratified sampling, cluster sampling, systematic sampling, and non-probability sampling. Each technique has advantages and disadvantages related to accuracy, cost, and generalizability. Proper sampling helps reduce sampling errors and increase the reliability of making inferences about the population from a sample.
A pilot study is a small preliminary study conducted prior to a larger research study to test and refine aspects of the proposed research such as research instruments, sampling methods, recruitment strategies and data analysis techniques. It allows researchers to identify potential problems in their research design or methodology and make necessary revisions before embarking on the full-scale research project. Pilot studies help improve the quality, efficiency and validity of the final research study.
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
This document discusses research design and different types of research designs. It defines research design as the conceptual structure and plan for conducting research to answer research questions. The main types of research designs covered are exploratory, descriptive, diagnostic, and experimental. Exploratory design is used when little is known about a topic to discover variables and relationships. Descriptive design aims to describe phenomena by observing behaviors. Diagnostic design involves problem identification and finding causes. Experimental design tests hypotheses by manipulating variables and measuring outcomes. The document provides details on each design type, including their purposes and methodologies.
This document discusses various methods for collecting primary and secondary data for research. It explains that primary data is collected fresh for a study, while secondary data comes from existing sources like books, papers, and reports. Some primary data collection methods covered include surveys, experiments, interviews, questionnaires, schedules, case studies, and observation. Factors to consider when choosing a method include the research objectives, budget, timeframe, and the researcher's knowledge. Collecting quality data is essential for answering the research problem.
This document discusses different methods for collecting data, both primary and secondary. It describes primary data collection methods like observation, surveys, interviews, questionnaires, and schedules. It provides details on how to conduct each method effectively and their advantages and disadvantages. Some key secondary data sources are also outlined such as internal organization records, external publications, reports and internet sources. When using secondary data, factors like reliability, suitability and adequacy must be considered. The selection of the appropriate data collection method depends on the nature, scope, budget and time constraints of the research.
This document discusses various methods for collecting data, both primary and secondary. It defines data as units of information that are measured, collected, analyzed and used for data visualizations. There are two main types of data collection methods discussed:
Primary methods involve directly collecting original data and include observation, surveys, interviews and questionnaires. Observation allows collecting large quantities of data in an inexpensive way but requires extensive training. Surveys can be conducted in-person or online and collect standardized information from a sample. Interviews are conducted one-on-one and allow collecting more in-depth information.
Secondary methods involve using existing data collected by others. Common secondary sources include publications, reports, and data available online. While cheaper and faster
Methods of data collection (research methodology)Muhammed Konari
This document discusses different methods for collecting primary data, including observation, interviews, questionnaires, and schedules. It provides details on each method:
Observation methods involve systematically observing participants and recording data. Interviews can be structured or unstructured, and involve an interviewer asking respondents questions. Questionnaires are printed forms sent to respondents to complete on their own, while schedules are similar forms that an enumerator completes by interviewing respondents. Each method has advantages like producing large datasets, but also disadvantages such as being time-consuming or open to bias.
This document discusses different methods for collecting primary data, including observation, interviews, questionnaires, and schedules. It provides details on each method such as the steps involved, types or classifications, advantages, and disadvantages. The key methods covered are observation, where a researcher directly observes participants; interviews, which involve asking participants questions; questionnaires, which are forms mailed to participants to complete; and schedules, where an enumerator asks participants questions and records responses, similar to interviews.
data collection is just systematic way approach for gather and measure information form variety source for the aim of get complete and accurate of an area that interested
This document discusses various methods for collecting primary and secondary data. It describes primary data collection methods like observation, interviews (structured and unstructured), questionnaires, and surveys. It also discusses secondary data sources and factors to consider when using secondary data like reliability, suitability, and adequacy. The key methods covered include observation, personal interviews, telephone interviews, questionnaires, and surveys. It provides details on the advantages and disadvantages of each method.
Quantitative search and_qualitative_research by mubarakHafiza Abas
The document discusses quantitative and qualitative research methods. Quantitative research aims to quantify data by using structured tools like questionnaires to collect numerical data from large samples that can be statistically analyzed. It focuses on objectively testing hypotheses. Qualitative research collects non-numerical data like descriptions through methods such as interviews and observations to understand peoples' experiences. It focuses on exploring topics in-depth. The document also compares surveys and questionnaires, describing their differences and advantages and disadvantages of various survey methods.
methods of data collection research methodology.pptxYashwanth Rm
The document discusses various methods for collecting primary data in research, including observation, interviews, questionnaires, and schedules. It provides details on how to conduct each method effectively and compares their advantages and disadvantages. The key methods covered are observation, which collects data through direct observation in the field; interviews, which involve oral questioning; questionnaires, which are printed forms sent to respondents; and schedules, which are similar to questionnaires but involve an enumerator administering the questions.
Some common data collection methods include surveys, interviews, observations, focus groups, experiments, and secondary data analysis. The data collected ...
methods of data collection research methodology.pdfYashwanth Rm
The document discusses various methods for collecting primary data in research, including observation, interviews, questionnaires, and schedules. It provides details on how to conduct each method effectively and compares their advantages and disadvantages. The key methods covered are observation, where a researcher directly watches subjects; interviews, conducted in-person or over the phone; questionnaires, which are distributed to respondents; and schedules, which involve an enumerator asking respondents questions from a structured form.
This document discusses various methods for collecting data, including definitions, types, categories, and sources of data. It describes primary and secondary data and how each are collected. Common data collection methods like questionnaires, interviews, observation, and document analysis are explained along with their advantages and disadvantages. The key points are that there are various ways to collect both quantitative and qualitative data, and the optimal method depends on factors like the research question and available resources. Primary sources involve collecting original data while secondary sources use previously collected data.
This document discusses various methods for collecting data for research purposes. It describes primary data collection methods like observation, interviews, questionnaires, and surveys which involve directly collecting original data. Secondary data collection involves using existing data collected by others. The key primary data collection methods covered are observation, interviews, questionnaires, and their types and steps. The advantages and disadvantages of each method are also outlined.
Research Methodology Unit-2 Note s.pptxmunnatiwari5
The document discusses different aspects of research methodology, including data collection and research design. It defines primary and secondary data and describes common methods for collecting primary data such as interviews, questionnaires, observation, and experiments. It outlines the merits and demerits of each data collection method. The document also discusses key features of a good research design and different types of research designs including correlational, experimental, diagnostic, descriptive, and exploratory.
Research Methods in Accounting & Finance Chapter 5 (3).pptxEbsaAbdi1
This document discusses various methods for collecting primary and secondary data. It describes primary data as being collected directly by the researcher through methods like observation, interviews, questionnaires, focus groups, and key informants. Secondary data is previously collected data obtained through sources like published materials. Some advantages of primary data are accuracy and relevance, while disadvantages include time and cost. Secondary data is cheaper but can be outdated or unreliable. Both qualitative and quantitative data are discussed.
This document discusses various methods for collecting primary data, including observation, interviews, questionnaires, and schedules. It provides details on how to conduct structured and unstructured observation, as well as disguised, undisguised, controlled, and uncontrolled observation. For interviews, it outlines personal and telephone interviews, and structured, semi-structured, and unstructured interview types. It also discusses how to construct questionnaires and the advantages and disadvantages of questionnaires and schedules. Secondary data collection and steps for data analysis like editing, coding, data entry, validation, and tabulation are also covered.
Data Collection is the segment of any type of research study. At the time when researcher need examine answers to the research problem data collection methods is critical for collection relevant information. this slide also depict of decision to be made by the Researcher towards data collection, methods of data collection with merits and demerits respectively.
Qualitative research is a scientific method of investigation that seeks to understand and explain social phenomena through analysis of people's experiences. It involves collecting data in natural settings through methods like interviews, observations and focus groups. The data collected consists of words and images rather than numbers. Three common qualitative methods are participant observation, in-depth interviews, and focus groups. Qualitative research is characterized by its inductive approach, focus on meanings and experiences, flexible design, and interpretation of findings. It aims to gain an in-depth understanding of issues rather than generalizing to a population.
The document provides an overview of research methodology. It discusses key aspects of the research process including developing research questions and hypotheses, research design, data collection methods, and data analysis. Some common data collection methods described are surveys, experiments, case studies, observations, interviews, and focus groups. The document also covers qualitative and quantitative research approaches, as well as descriptive, explanatory, and exploratory research.
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2. Introduction
Data collection is the process of gathering
information about the relevant topic of research
which is being done by researcher collection.
It is the most important stage in conducting
research.
It is very demanding job which needs
through planning, hard work, patience,
perservance and more able to complete the task
successfully.
3. What is Data collection?
It is the process by which the researcher collects
the information needed to answer the researcher
problem.
The task of data collection begins after a research
problem has been defined and research design
chalked out.
4. In collecting the data, the researcher must decide
Which data to collect?
How to collect the data?
Who will collect the data?
When to collect the data?
5. Types of data collection
i) Primary Data : Those which are collect a
fresh and for the first time, and thus happen
to be original in character. It is originally
collected.
ii) Secondary data : The data have been
already been collected by someone else and
which through the statistical process.
6. Methods of data collection
Experiment
Survey
Observation method
Interview Method
Questionnaires
Schedules
7. The Important type of methods
1) Observation
2) Interview
3) Questionnaires
4) Schedules
8. Observation Method
It is a method under which data from the field is
collected with the help of observation by the observer
or by personally going to the field
In the words of P. V. Yong
“ Observation may be defined as systematic
viewing, coupled with consideration of seen
phenomenon”
9. Steps for effective observation
Determine what need to be
observed
Select Participant
(Random/selected)
Conducting Observation (venue, duration,
recording materials, take photographs)
Compile data collected
Analyze and Interpret the
collected data
10. Classifications
Structured Observation
When observation done by characterizing style
of recording the observed information, standardized
conditions of observation, definition of the units to
be observed selection of pertinent data of
observation then it is structured observation
Unstructured Observation
When observation is done without any thought
before observation then it is unstructured
observation
11. Participant Observation
When the observer is member of the group which
he is observing then it is participant observation
In this method researcher can record natural
behaviour of group. Researcher can verify the truth
statements given by informants in the context of
questionnaire.
Non –participant observation
When observer is observing people without giving
any information to them. Then, it is non-participant
observation
12. Controlled Observation
When the observation takes place according
to definite pre arranged plans, with experimental
procedure. Then, it is controlled observation.
Generally done in laboratory under
controlled condition
Uncontrolled Observation
When the observation takes place in
natural condition. Then it is uncontrolled observation. It
is done spontaneous picture of life & persons
13. Advantages
No bias information.
Researcher get current information.
Independent of respondents variable.
The original data can be collected at the time
of occurrence of the client.
14. Disadvantage
It is expensive method
It is time consuming method
Limited information
Extensive training is needed
It is very difficult to gather information on
i) opinion ii) inventions
15. Interview Method
This method of collecting data involves
presentation or oral-verbal stimuli and reply in
terms of oral-verbal responses
It is method oral-verbal communication.
Where interviewer asks questions to
respondents.(which aimed to get information
required for study.)
16. Steps for effective Interview
Prepared Interview Schedule
Select object/ key respodent
Conduct the Interview
Compile data collected
Analyze and Interpret the
collected data
17. Classifications
Structural Interviews
In this case , a set of pre-decided questions
are there.
Unstructured Interview
In this case, we don’t follow a system of pre-
determined questions
18. Focussed Interview
Attention is focused on the given experience
of the respondent and its possible effects
Clinical Interviews
Concerned with broad underlying feelings or
motivations or with the course of an
individuals life experience.
19. Group Interview
A group of 6 to 8 individuals is interviewed
Qualitative and Quantitative Interview
This interview divided on the
basis of subject matter i. e. whether qualitative or
quantitative
20. Individual Interview
Interviewer meets a single person and
interviews him.
In this type face to face contact the person
Selection Interview
Done for selection of people for certain
jobs.
21. More information is greater depth can be
obtained.
Resistance may be overcome by a skilled
interviewer
Personal Information can be obtained
Advantages
22. Disadvantage
It is expensive method
Interviewer bias
Respondent Bias
Time consuming
Systematic errors my be occurred.
23. Questionnaire Method
A questionnaire is sent (by post or by mail) to
the persons concerned with a request to answer
the questions and return the questionnaire
A questionnaire consists of number of
questions printed in a definite order on a form.
24. Steps for effective Questionnaire
Prepared Questions
(formulate and choose types of questions, order them, write
instructions, make copies)
Select your respondent
Administer the questionnaire
Tabulated data collected
Analyze and Interpret the collected
data
25. Classifications
Open - ended Questions
This gives the respondents the ability to
respond in their own words.
Close - ended questions
This allows the respondents to choose one of
the given alternatives
Types- Dichotomous questions and multiple
choice questions.
26. Essential of Good Questionnaire
Should be followed short and simple
Follow a sequence of questions from easy to
difficult one
Technical terms should be avoided
Should provide adequate space for answer in
questionnaire
Directions regarding the filling of questionnaire
should be given physical appearance- quality of
paper Sequence must be clear
27. Advantage
Free from interviewer bias
Respondents have adequate time to think
through the answers.
Low cost-even when the universe is large
and is widespread.
Respondents who are not easily
approacheble, can be reached conviently.
Large samples can be used.
29. Schedule Method
Enumerator goes to the respondents, ask them
the questions from the questionnaire in the order
listed, and records the responses in the space
provided.
Thomas Carson macromic, “ The schedule is
nothing more than a list of questions which it
seems necessary to test the hypothesis.”
30. Questionnaire vs Schedule
Qustionnaire Schedule
Q generally sent through mail
and no further assistant from
sender.
Q is cheaper method
Non response is high
Very slow method
No personal contact
It can be used only when
respondent is educated and co-
operative
Incomplete and wrong
information is more chances
Schedule is filled by the
enumerator or research worker
Costly require field
Non response is low
Information is collected well
in time
Direct personal contact
Info. Can be collected from
illiterates also.
Relatively more correct and
complete
31. Other methods of data collection
Warranty cards
post card size cards send to customers and
feedback collected through asking questions on
that cards
Distributor or store audits
Audits are done by distributor or manufactures
salesperson. Observation or copying information
about inventory in retail shops.
32. Pantry Audits
From the observation of pantry of customer to know
purchase habit of the people (which product, of what
brand etc.,)
Questions may be asked at the time of audit
Consumer Panels
When pantry audit is done at regular basis . Daily record
of consumption of certain customers or repeatedly.
Interview at the specific periods to know their
consumption.
33. Use of mechanical device
• Eye cameras to record eyes focus on certain
sketch.
•galvanometer to measure excitement to visual
stimuli.
• Motion picture camera to record movement of
body at the time of purchase.
•Audiometer concerned to TV useful to know
channel, Program preference of people.
34. Projective technique
Word association test
Sentence completion test
Story completion test
Verbal projection tests
Play techniques
Quizzes, tests and examinations
Sociometry
Pictorial technique
* Thematic apperception test (T. A. T.)
* Rosenzweig test
* Rorschach test
* Holtzman inkblot test (HIT)
* Tomkins- Horn Picture arrangement test
35. Depth Interview
To discover the underlying motives/ desires of sample. To
explore needs, feelings of respondents. Skill is required,
indirect question or projective technique are used to know
behaviour of the respondent
Content analysis
Analyzing contents of documentary material as news
paper, books, magazines about certain characteristics to
identify and count
36. Case study Method
H. Odum “ The case study is a technique by which
individual factor whether it be an institution just an episode
in the life of an individual or group is analyzed in it’s
relationship to any other in the group”
It is qualitative analysis.
It is essential an intensive investigation of the particular
unit under consideration.
It is important characteristics are as follows:
* The researcher can take one single social unit or more of
such units for his study purpose.
* The selected unit is studied intensively. i.e. it is studied in
minute details.
37. Survey Method
One of the common method of diagnosing and
solving of social problems is that of undertaking
surveys
Fasting & Kat of the opinion that “ Many research
problems require systematic collection of data from
population through the use of personal interviews or
other data gathering devices”.
38. Secondary Data
Sources of data
* Publications of central, state, local government
* Technical trade journals
* Books, magazines, Newspaper
* Report and publication of industry, bank stock
exchange.
* Reports by research scholars, universities,
economists
* Public records
39. Factors to be considered before using
secondary data
Reliability of data
Suitability of data
Adequate of data
40. Selection of appropriate method for data
collection
Nature, scope and object of enquiry
Availability of funds
Time factor
Precision required
41. Advantage of secondary data
It is economical, without the need to hire field
staff
It saves time (normally 2 to 3 months) if data is
available on hand it can be tabulated in minutes
They provide information which retailers may
not be willing to reveal to researcher.
No training is required to collect data, unlike
primary data.