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Research instruments
Zain ulabedin
Lecturer GCMS Talash
Research instruments
• One of the most important components of research design is the
research instruments because they gather or collect data or
information.
• Research instruments or tools are ways of gathering or collecting
data or information.
• The commonly used tools in gathering data:
 questionnaire
Interview
observation
Characteristics of a good research instrument
• The instrument must be valid and reliable.
• It must be based upon the conceptual framework.
• It must gather data suitable for and relevant to research topic.
• It must gather data that would test the hypotheses or answer the
questions under investigation.
• It should be free from all kinds of bias.
• It must contain clear and define directions to accomplish it.
• It must be accompanied, if possible, by a letter of
recommendation from a sponsor.
Survey Research
• It is a type of research to collect the data and facts about some
certain situation or issue from the target population existing in
surroundings having relevance to the nature of study.
• Survey research is the research strategy to study the relationships
and characteristics.
• Interviewing, administering questionnaires, and observing people
and phenomena are the three main data collection methods in
survey research.
Census Survey
• When data is to be collected from each member of the
population, it is known as census survey.
• A survey that measures the entire target population is called a
census.
• Census surveys are the types of surveys involving the process of
collecting information about each member of a given population.
• The use of census surveys is usually employed for statistical
research, population count or business marketing purposes.
Sample Survey
• When data is to be collected only from some members of the
population, it is known as sample survey.
• The process of collecting information by selecting some true
representative to get information is known as sample survey.
• Sample is a part of fraction of population selected on some basis.
• Sampling is used in infinite cases where Census cannot measure or
studies.
Pilot Survey
• A survey that is conducted with few individuals of the target population
or the sample of a survey, in order to test and refine the survey
instruments (questionnaire and instruction manual, data processing
manual and programmes) before the main data collection across the
target population or the full sample.
• Pilot study is a small preliminary investigation of the same general
character as the major study.
• It is designed to acquaint the researcher with the problems to be
corrected in preparation for larger research project.
• During pilot study, the instruments are going through a pretest although
the instrument content is expected to be in final form by this stage.
Data
• The pieces of information that are collected to examine the
research topic.
• The term “data” refers to the kinds of information researchers
obtain on the subjects of their research.
• Data are defined as the information recorded to represent facts.
• It is a lowest unit of information from which other measurements
and analysis can be done.
• Data is one of the most important and vital aspect of any research
study
Data collection
• Scientific and disciplined inquiry requires the collection, analysis,
and interpretation of data.
• OR; it is the process by which the researcher collects the
information needed to answer the research problem.
• The task of data collection begins after a research problem has
been defined and research design chalked out.
Data collection
• In collecting the data, the researcher must decide
• What data to collect?
• How to collect the data?
• Who will collect the data?
• When to collect the data?
• The selection of a method for collecting information depends upon the;
• Resources available
• Credibility
• Analysis and reporting
• Resources
• And the skill of the evaluator.
Types of data
• On the basis of source:
• Primary Data and secondary data
• On the basis of dependency:
• Objective Data (based on objectivity) and subjective (change with
change in situation) data.
• On the basis of nature:
• Qualitative data (belief, opinion, etc.) and quantitative data
(facts and figures etc.).
SOURCES OF DATA
• Data can be obtained from primary or secondary sources.
• Primary data refer to information obtained firsthand by the
researcher on the variables of interest for the specific purpose of
the study.
• Examples: individuals, focus groups, panels
SOURCES OF DATA
• Advantages of primary data:
• Resolve specific research issues.
• Better accuracy
• Higher level of control
• Up to date information.
• You are the owner of the information.
• Disadvantages of primary data:
• More expensive
• Time consuming
• Can have a lot of limits
• Not always possible
SOURCES OF DATA
• Secondary data refer to information gathered from sources already existing.
• Examples: company records or archives, government publications, industry
analyses offered by the media, web sites, the internet, and so on.
• Advantages of Secondary data:
• Ease of access
• Low cost or free
• Time saving
• Larger sample size
• Anyone can collect the data
• Generating new insights and understandings from previous analysis
DATA COLLECTION METHODS
• Data collection methods are an integral part of research.
• There are several data collection methods, each with its own
advantages and disadvantages.
• Data collection methods include:
• Interviews—face-to-face interviews, telephone interviews,
computer-assisted interviews, and interviews through the
electronic media;
DATA COLLECTION METHODS
• Questionnaires that are either personally administered, sent
through the mail, or electronically administered;
• Observation of individuals and events with or without videotaping
or audio recording;
• Motivational techniques such as projective tests
DATA COLLECTION METHODS
• The choice of data collection methods depends on;
• the facilities available
• the degree of accuracy required
• the expertise of the researcher
• the time span of the study, and
• Costs and resources associated with and available for data
gathering

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Research instruments

  • 2. Research instruments • One of the most important components of research design is the research instruments because they gather or collect data or information. • Research instruments or tools are ways of gathering or collecting data or information. • The commonly used tools in gathering data:  questionnaire Interview observation
  • 3. Characteristics of a good research instrument • The instrument must be valid and reliable. • It must be based upon the conceptual framework. • It must gather data suitable for and relevant to research topic. • It must gather data that would test the hypotheses or answer the questions under investigation. • It should be free from all kinds of bias. • It must contain clear and define directions to accomplish it. • It must be accompanied, if possible, by a letter of recommendation from a sponsor.
  • 4. Survey Research • It is a type of research to collect the data and facts about some certain situation or issue from the target population existing in surroundings having relevance to the nature of study. • Survey research is the research strategy to study the relationships and characteristics. • Interviewing, administering questionnaires, and observing people and phenomena are the three main data collection methods in survey research.
  • 5. Census Survey • When data is to be collected from each member of the population, it is known as census survey. • A survey that measures the entire target population is called a census. • Census surveys are the types of surveys involving the process of collecting information about each member of a given population. • The use of census surveys is usually employed for statistical research, population count or business marketing purposes.
  • 6. Sample Survey • When data is to be collected only from some members of the population, it is known as sample survey. • The process of collecting information by selecting some true representative to get information is known as sample survey. • Sample is a part of fraction of population selected on some basis. • Sampling is used in infinite cases where Census cannot measure or studies.
  • 7. Pilot Survey • A survey that is conducted with few individuals of the target population or the sample of a survey, in order to test and refine the survey instruments (questionnaire and instruction manual, data processing manual and programmes) before the main data collection across the target population or the full sample. • Pilot study is a small preliminary investigation of the same general character as the major study. • It is designed to acquaint the researcher with the problems to be corrected in preparation for larger research project. • During pilot study, the instruments are going through a pretest although the instrument content is expected to be in final form by this stage.
  • 8. Data • The pieces of information that are collected to examine the research topic. • The term “data” refers to the kinds of information researchers obtain on the subjects of their research. • Data are defined as the information recorded to represent facts. • It is a lowest unit of information from which other measurements and analysis can be done. • Data is one of the most important and vital aspect of any research study
  • 9. Data collection • Scientific and disciplined inquiry requires the collection, analysis, and interpretation of data. • OR; it is the process by which the researcher collects the information needed to answer the research problem. • The task of data collection begins after a research problem has been defined and research design chalked out.
  • 10. Data collection • In collecting the data, the researcher must decide • What data to collect? • How to collect the data? • Who will collect the data? • When to collect the data? • The selection of a method for collecting information depends upon the; • Resources available • Credibility • Analysis and reporting • Resources • And the skill of the evaluator.
  • 11. Types of data • On the basis of source: • Primary Data and secondary data • On the basis of dependency: • Objective Data (based on objectivity) and subjective (change with change in situation) data. • On the basis of nature: • Qualitative data (belief, opinion, etc.) and quantitative data (facts and figures etc.).
  • 12. SOURCES OF DATA • Data can be obtained from primary or secondary sources. • Primary data refer to information obtained firsthand by the researcher on the variables of interest for the specific purpose of the study. • Examples: individuals, focus groups, panels
  • 13. SOURCES OF DATA • Advantages of primary data: • Resolve specific research issues. • Better accuracy • Higher level of control • Up to date information. • You are the owner of the information. • Disadvantages of primary data: • More expensive • Time consuming • Can have a lot of limits • Not always possible
  • 14. SOURCES OF DATA • Secondary data refer to information gathered from sources already existing. • Examples: company records or archives, government publications, industry analyses offered by the media, web sites, the internet, and so on. • Advantages of Secondary data: • Ease of access • Low cost or free • Time saving • Larger sample size • Anyone can collect the data • Generating new insights and understandings from previous analysis
  • 15. DATA COLLECTION METHODS • Data collection methods are an integral part of research. • There are several data collection methods, each with its own advantages and disadvantages. • Data collection methods include: • Interviews—face-to-face interviews, telephone interviews, computer-assisted interviews, and interviews through the electronic media;
  • 16. DATA COLLECTION METHODS • Questionnaires that are either personally administered, sent through the mail, or electronically administered; • Observation of individuals and events with or without videotaping or audio recording; • Motivational techniques such as projective tests
  • 17. DATA COLLECTION METHODS • The choice of data collection methods depends on; • the facilities available • the degree of accuracy required • the expertise of the researcher • the time span of the study, and • Costs and resources associated with and available for data gathering