SlideShare una empresa de Scribd logo
1 de 68
METHODS OF DATA
  COLLECTION
What is data collection?

   The process by which the researcher collects
     the information needed to answer the
    research problem.
   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
   The selection of data collection method should
    be based on the following:

       The identified hypothesis or research problem

       The research design

       The information gathered about the variables
The methods of data collection vary according
 to:

        Degree of structure

        Degree of quantifiability

        Degree of obtrusiveness

        Degree of objectivity
RESEARCH
INSTRUMENTS
RESEARCH INSTRUMENTS
   Instrument or a Tool
       described as a device used to collect the data.
        facilitate variable observation and measurement.



   The type of instrument used by the researcher
    depends on the data collection method selected.

       “Massey states that the “Instrument development requires a
        high degree of research expertise, as the instrument must
        be reliable and valid.”
Ways of Searching for
Research Instruments
Ways of Searching for Research
              Instruments
   Read professional journals to learn what kind of
    instruments are being used for similar studies, their format, style, and how
    they are used by the writers.

   Read books that provide a description or an actual copy of various
    instruments for the reader.

   Talk with other researchers who may know of certain tools they
    have developed for themselves, or may have used tools developed by
    others.

   Combine or adapt one or more tools used by other researchers.
   Develop his/her own instrument to fulfill a specific need.
Guidelines for Developing an
        Instrument
Guidelines for Developing an
               Instrument
   The instrument must be suitable for its function.

   The research tool will only be effective only as it
    relates to its particular purpose.

   The instrument must be based on the theoretical
    framework.

   The instrument must be based on the theoretical
    framework selected for the study.
Guidelines for Developing an
                Instrument
   The instrument should be valid.

    The content of the instrument must be appropriate to test the
    hypothesis or answer the question being studied.

   The instrument should be reliable.

   The devised research tool should provide comparable data
    every time the subject uses the instrument.

   An instrument should include an item that directly asks the
    hypothesis.

   The research tool should be designed and constructed in such a
    way that cheating is minimized
Guidelines for Developing an
               Instrument
   The instrument should be free of bias.

   A good instrument is free of build-in clues.

   The instrument should not contain measures that
    function as hints for desired responses.

   The researcher may need to read extensively to
    identify which aspects of the theory are appropriate
    for investigation.
Guidelines for Developing an
                Instrument
   The researcher, through the instrument, must be able
    to gather data that are appropriate in order to test the
    hypothesis or to answer the question under
    investigation.

   The researcher should gather a group of items from such
    sources.

   The researcher should gather a group of items from such
    sources as persons knowledgeable in the field, accepted
    theories or hypotheses, personal experience, or material from
    studies reported in books and professional journals.
Guidelines for Developing an
               Instrument
   The response given by each respondent in the
    research study should solely be his own. There
    should be no contamination through outside
    influences, such as someone else’s ideas or
    products.

   Therefore, the respondent who agrees to participate in
    a study is responsible for supplying information or
    for exhibiting behavior that is truly his own.
Types of Research
  Instruments
Types of Research Instruments
      1.   Questionnaire
      2.   Checklist
      3.   Distribution
      4.   Interview
      5.   Observation
      6.   Records
      7.   Experimental Approach
      8.   Survey Approach
Types of Research Instruments
1. Questionnaire

     A series of questions designed to elicit information, which
      is filled in by all participants in the sample.

     This can be gathered either by oral interview or by written
      questionnaire.

     This is the most common type of research instrument.
        Advantages of a Questionnaire

    1.     Relatively simple method of obtaining data.

    3.     Less time is consumed.

    5.     Researcher is able to gather data from a widely
           scattered sample.
   Disadvantages of a Questionnaire

1. Responses to a questionnaire lack depth.
2. Respondent may omit or disregard any item he chooses.
3. Some items may force the subject to select responses that are
   not his actual choice.
4. Length of the questionnaire is limited according to the
   respondent’s interest.
5. Printing may be costly especially if it is lengthy.
6. Data are limited to the information that is voluntarily
   supplied by the respondents.
7. Some items maybe misunderstood.
8. The sample is limited to those who are literate.
Techniques for Developing
                 Questionnaire
2.    Researcher may read literatures about the topic look through
      available questionnaires or obtain help from experts.

4.    Open - ended questions are preferable than closed questions since
      they reflect respondent’s attitudes, feelings, which are expressed
      in his own words.

6.    If yes - no questions are used; additional information may be
      gained by leaving space for respondent’s own idea.

8.    The possibility of a middle ground statement is also important.

10.   Every item in a questionnaire should relate to the topic under study.
Criteria of a Good
 Questionnaire
Criteria of a Good Questionnaire
1. Clarity of Language
     It must meet the level of understanding of the respondents
      in order to generate needed responses.

2. Singleness of Objective
     An item must have one and only one answer

3. One-to-One Correspondence
     The questionnaire as a whole must correspond with the
      objectives of the study

4. Correct Grammar, Spelling, and Construction
     The questionnaire must be constructed observing
      grammatically correct sentences, correctly spelled words,
      coherence in construction of sentences, etc.
Characteristic of a Good Questionnaire
1.    Well-stated title

3.    Has statement of purpose

5.    It assures the respondents about the confidentiality of
      responses

7.    It is designed to achieve the objectives of the study

9.    It has a clear direction

11.   There are no double-negative questions

13.   It avoids double barreled questions

15.   The design corresponds to an easy tabulation of data
Degree of Structure Questions
1. Open-ended questions
     This gives the respondents the ability to respond in
      their own words.


2. Close-ended or fixed alternative
     This allows the subject to choose one of the
      given alternatives.
   Specific Types of Closed-ended Question:

    1. Dichotomous questions
       This requires the respondent to make a choice between two
        responses such as yes/no, male/female, or married/unmarried.
         Example:
         Have you been ligated?
         ___ Yes
         ___ No


    2. Multiple questions
       This offers more than one choice.
         Example:
         How favorable is it to you to become pregnant at this time?
         ___ Very favorable
         ___ Favorable
         ___ Not sure
         ___ Unfavorable
         ___ Very unfavorable
3. Cafeteria questions
      A special type of multiple-choice question. The respondents are
       asked to select a response according to their own point of view.

      Example:

   People have different views on “family planning”, which of the following
     best represent your views?

       ___1. Family planning is necessary to quality life.
       ___2. Family planning is immoral and should be totally banned.
       ___3. Family planning has undesirable side effects that suggest
                need for caution.
       ___4. Family planning has beneficial effects that merit its
                practice.
       ___5. Family planning is moral and should be practiced.
4. Rank-Order questions
     The respondents are asked to choose a response
      from the “most” to the “least”.

     Example:
       Why must family planning be practiced? Rank your
        answers from the 1-most reasonable to 5-least
        reasonable?
        ___Limits maternal disabilities.
        ___Gives parents more time to meet family needs.
        ___Helps maintain financial viability of the family.
        ___Affords more working hours for couples.
        ___Ensures family capability to educate all the children
        in the future.
5. Rating questions
     The respondents are asked to judge something along an
      ordered dimension.
     This is typically bipolar in nature, with the end points
      specifying the opposite extremes of a continuum.

     Example:
       On the scale of 1 to 5 where 1 means strongly disagree and 5
        means strongly agree, the Health Center in Barangay
        A provides you the necessary services.
       Scale
          ___ 5 - Strongly agree
          ___ 4 - Agree
          ___ 3 - Uncertain
          ___ 2 - Disagree
          ___ 1 - Strongly disagree
2. Checklist
2. Checklist

   These are items that comprise several questions on a
    topic and require the same response format.
     Example:
      Here are some characteristics of birth-control devices that
      are of varying importance to different people. How
      important are the following in choosing a birth-control
      method?
    Characteristic of birth-   Of very    Of great     Of some      Of no
    control device             great      importance   importance   importance
                               Importan
                               ce
    1. Comfort

    2. Cost

    3. Ease of Use

    4. Effectiveness

    5. Noninterference of
    spontaneity
    6. Safety

    7. Safety to partner
3. Interview
3. Interview
   This involves either structure or
    unstructured verbal communication between
    the researcher and subject, during which
    information is obtained for a study.
Types of Interview
1. Unstructured Interviews
     more conversational
     long sometimes (hours) and
     conducted in a usual situation.
     This allows the researcher flexibility in questioning the
      subject.

2. Structured Interviews
     always operates within formal written instrument referred
      as interview schedule.
     researcher designed the questions to be asked prior to
      interview including the order of the questions.
      The questions are asked orally in either face to face or
      telephone format.
    Advantages of Interview
    1. Data from interview are usable
    2. Depth of response can be assured
    3. In an exploratory study, the interview technique provides
        basis for the formulation of questionnaire
    4. Clarification is possible
    5. No items are overlooked
    6. Higher proportion of responses is obtained
    7.  Greater amount of flexibility is allowed

    Disadvantages of Interview
    1. Time element
    2. Biases may result
    3. Costly
4. Observation
4. Observation
   most commonly used in qualitative research.

 Types of Observation
1. Unstructured observation
       a method of collecting research data that has both
        opponents and proponents.


2. Structured observation
       preparation of record-keeping forms such as category
        systems, checklists and rating scales.
       researcher typically has some prior knowledge about the
        behavior or event of interest
     Advantages of Observation

3.    Produces large quantities of data w/ relative case.

5.    All data obtained from observation are usable.

7.    Relatively inexpensive.

9.    All subjects are potential respondents.

11.   Subjects are usually available.

13.   The observation technique can be stopped or begun at any
      time.

7.     Observation may be recorded at the time they occur
      eliminating bias because of recall.
   Disadvantages of Observation
    1. Accurate prediction of a situation or event to be observed
       is unlikely.

    2. Interviewing selected subjects may provide more
       information, economically, than waiting for the
       spontaneous occurrence of the situation.

    3. The presence of an observer gives the subjects a quality
       normally absent.

    4. Observed events are subject to biases.

    5. Extensive training is needed.
5. Records
5. Records
   A record refers to all the numbers and statistics
    that institutions, organizations and people keep
    as a record of their activities.

 Sources
1. Census data
2. Educational records
3. Hospital/clinic records
 Advantages of Records
1. Records are unbiased
2. Records often cover a long period of time
3. Inexpensive

  Disadvantages of Records
1. All the researcher can have is what is there. If the
   record is incomplete, there is no way it can be
   completed.

2. No one can be sure of the conditions under which the
   records were collected.

3. There is no assurance of the accuracy of the records.
6. Experimental
   Approach
6. Experimental Approach
        A powerful design for testing hypothesis of causal
         relationships among variables.
        Researcher controls the independent variable &
         watches the effect on the dependent variable.


   Two Groups of Experimental Approach
    1.    Treatment / Experimental group
    2.    Control group
    Advantages of Experimental Approach

1. It is difficult to minimize all the variables in which the control
      and experimental groups might differ.

2. Causal relationships are difficult if not impossible to
    establish.

3. The time element may confound the results of experimental
    research.

4. In an experimental laboratory setting it may be difficult to
    obtain subjects, especially subjects who are unaware of the
    experiment
7. Survey Approach
7. Survey Approach
        Non-experimental type in which the researcher
         investigates a community or a group of people.

        Another name is FORMULATIVE OR
         EXPLORATORY research.

   Advantages of Survey Approach
    1.   Can provide information about the possibilities of undertaking
         different types of research methods.

    3.   Provides data about the present.

    5.   Has a high degree of representativeness.

    7.   Easy to get respondents and information often do not express their
         true reactions to the questions.
   Disadvantages of Survey Approach

    1. Yields a low degree of control over
    extraneous variables.

    2. Verbal behavior is quite unreliable and that
    people
MEASUREMENT OF
  VARIABLES
MEASUREMENT OF VARIABLES
   Measurement is the process by which the
    researcher assigns

   specific number to the collected data (Massey,
    1991).
Levels of Measurement
1. Nominal level (the lowest level)
       This level includes assignment of numbers simply to
        classify characteristics into categories.
       “ASSIGNING A CODE TO LABEL”


   Example:
       In relation to marital status, 0 might represent single
        and 1 married.
       Nominal level variables include sex, marital status and
        health status
Levels of Measurement
2. Ordinal level (the second lowest level)

     This permits the sorting of objects on the basis of
      their standing on an attribute relative to each other.

     Data are categorized and ranked, ordered from
      “most” to “least: according to frequency of
      occurrence as explained by Dr. Barrientos-Tan.

     represent the rank order (1st, 2nd, 3rd etc.)
1. Likert scale
2. Guttman scale
3. Graphic Rating Scale
4. Semantic Differential Scale
Levels of Measurement
3. Interval level (the second highest level)
       This occurs when the researcher can specify both the rank-
        ordering of objects attribute and the distance between those
        objects.
       do not have an absolute or rational zero point.
       Use of mode, median, mean


   Example:
       Fahrenheit and centigrade temperatures
       anxiety levels measured on a Likert scale
Levels of Measurement
4. Ratio level (the highest level)

     The ratio level has a rational, meaningful zero.
RELIABILITY AND
  VALIDITY OF
 MEASUREMENT
RELIABILITY AND VALIDITY
       OF MEASUREMENT
   Reliability
       means the degree of consistency and accuracy with
        which an instrument measures a variable.


   Validity
       refers to the extent to which an instrument
        measures what it is designed to measure.
Testing Validity of Data
       Collection
Testing Validity of Data Collection
     There are three categories of testing the
      validity of a data collection instrument.
2.    Self-evident measures
3.    Pragmatic Measures
   Self-evident measures
       refers to the fact that the instrument appears what
        it is supposed to measure.

    1.1 Face validity (VALIDITY OF THE OBSERVER)
           most basic level, when little or nothing is known about the
            variable being measured;
           the researcher typically verifies face validity by asking
            experts to evaluate the instrument’s intent.

    1.2 Content validity
           relies on the assurance that you can demonstrate an adequate
            coverage of the known field.

           The researcher typically verifies this by conducting a literature
            review to determine which content should be covered and by
            asking experts to evaluate the instrument’s
            representativeness of the content.
       Pragmatic Measures

        the procedure essentially tests the practical value of a
         particular research instrument or tool

         Thus attempting to answer the question, “Does it work?”
           Concurrent validity
           Predictive validity
           Construct validity
   Concurrent validity

       refers to the extent to which an instrument can
        accurately identify subjects that differ with respect to a
        given characteristic.

       Researcher typically validates concurrent validity by
        using the instrument in conjunction with a second
        instrument already known to be valid.

       Ex. a measure of job satisfaction might be correlated with
        work performance.
            Note that with concurrent validity, the two measures are taken at
             the same time.
   Predictive validity

       to predict some future occurrences.

       the researcher commonly validates this by using
        the instrument, then comparing the
        results with some future outcomes.
   Construct validity

       useful mainly for measuring the traits or feelings such as
        generosity, grief or satisfaction.

       is related to the theoretical ideas behind the
        personality trait under consideration
Testing the Reliability of
 Research Instrument
Testing the Reliability of Research
                Instrument
1.    Stability

        The best indicator of an instrument’s reliability.

        This refers to the extent to which the same results
         are obtained with repeated use of an instrument

        There are two categories for tests of stability:
            Test / Retest
            Repeated observations
Testing the Reliability of Research
            Instrument
2. Internal consistency
     This refers to the extent to which all parts of
      the measurement techniques are measuring the
      same concept.


3. Test of Equivalence
     This refers to the consistency of the results by
      different investigators or similar tests at the same
      time.

Más contenido relacionado

La actualidad más candente

Statistical tools in research
Statistical tools in researchStatistical tools in research
Statistical tools in researchShubhrat Sharma
 
Research instrument
Research instrumentResearch instrument
Research instrumentMhaye Barile
 
Practical Research 2 Chapter 3: Common Statistical Tools
 Practical Research 2 Chapter 3: Common Statistical Tools Practical Research 2 Chapter 3: Common Statistical Tools
Practical Research 2 Chapter 3: Common Statistical ToolsDaianMoreno1
 
CLASSIFICATION OF RESEARCH BY PURPOSE & METHOD
CLASSIFICATION OF RESEARCH BY PURPOSE & METHODCLASSIFICATION OF RESEARCH BY PURPOSE & METHOD
CLASSIFICATION OF RESEARCH BY PURPOSE & METHOD Dr.Shazia Zamir
 
Research title & knowing the problem
Research title & knowing the problemResearch title & knowing the problem
Research title & knowing the problemBean Malicse
 
Statement of the problem (final)
Statement of the problem (final)Statement of the problem (final)
Statement of the problem (final)Jerome Jardin
 
An Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research MethodologyAn Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research Methodologyschool
 
Analysis of data in research
Analysis of data in researchAnalysis of data in research
Analysis of data in researchAbhijeet Birari
 
Research assumption
Research assumptionResearch assumption
Research assumptionNursing Path
 
Statistical treatment and data processing copy
Statistical treatment and data processing   copyStatistical treatment and data processing   copy
Statistical treatment and data processing copySWEET PEARL GAMAYON
 
Qualitative Research Chapter 3 g11 Research Method and Procedures
Qualitative Research Chapter 3 g11 Research Method and ProceduresQualitative Research Chapter 3 g11 Research Method and Procedures
Qualitative Research Chapter 3 g11 Research Method and ProceduresGhail RC
 
Quantitative Data Analysis
Quantitative Data AnalysisQuantitative Data Analysis
Quantitative Data AnalysisAsma Muhamad
 

La actualidad más candente (20)

Chapter 1-INTRODUCTION TO RESEARCH
Chapter 1-INTRODUCTION TO RESEARCHChapter 1-INTRODUCTION TO RESEARCH
Chapter 1-INTRODUCTION TO RESEARCH
 
Qualitative research design
Qualitative research designQualitative research design
Qualitative research design
 
Statistical tools in research
Statistical tools in researchStatistical tools in research
Statistical tools in research
 
2. Qualitative sampling techniques by elmusharaf
2. Qualitative sampling techniques by elmusharaf2. Qualitative sampling techniques by elmusharaf
2. Qualitative sampling techniques by elmusharaf
 
Chapter 7-THE RESEARCH DESIGN
Chapter 7-THE RESEARCH DESIGNChapter 7-THE RESEARCH DESIGN
Chapter 7-THE RESEARCH DESIGN
 
Research instrument
Research instrumentResearch instrument
Research instrument
 
Practical Research 2 Chapter 3: Common Statistical Tools
 Practical Research 2 Chapter 3: Common Statistical Tools Practical Research 2 Chapter 3: Common Statistical Tools
Practical Research 2 Chapter 3: Common Statistical Tools
 
Quantitative Research Design
Quantitative Research Design Quantitative Research Design
Quantitative Research Design
 
Research problem
Research problemResearch problem
Research problem
 
CLASSIFICATION OF RESEARCH BY PURPOSE & METHOD
CLASSIFICATION OF RESEARCH BY PURPOSE & METHODCLASSIFICATION OF RESEARCH BY PURPOSE & METHOD
CLASSIFICATION OF RESEARCH BY PURPOSE & METHOD
 
Research title & knowing the problem
Research title & knowing the problemResearch title & knowing the problem
Research title & knowing the problem
 
Research Instrumentation
Research InstrumentationResearch Instrumentation
Research Instrumentation
 
Statement of the problem (final)
Statement of the problem (final)Statement of the problem (final)
Statement of the problem (final)
 
An Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research MethodologyAn Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research Methodology
 
Analysis of data in research
Analysis of data in researchAnalysis of data in research
Analysis of data in research
 
Research assumption
Research assumptionResearch assumption
Research assumption
 
Quantitative Research
Quantitative ResearchQuantitative Research
Quantitative Research
 
Statistical treatment and data processing copy
Statistical treatment and data processing   copyStatistical treatment and data processing   copy
Statistical treatment and data processing copy
 
Qualitative Research Chapter 3 g11 Research Method and Procedures
Qualitative Research Chapter 3 g11 Research Method and ProceduresQualitative Research Chapter 3 g11 Research Method and Procedures
Qualitative Research Chapter 3 g11 Research Method and Procedures
 
Quantitative Data Analysis
Quantitative Data AnalysisQuantitative Data Analysis
Quantitative Data Analysis
 

Destacado

Methods of data collection
Methods of data collection Methods of data collection
Methods of data collection PRIYAN SAKTHI
 
Data Collection-Primary & Secondary
Data Collection-Primary & SecondaryData Collection-Primary & Secondary
Data Collection-Primary & SecondaryPrathamesh Parab
 
Tools of data collection
Tools of data collectionTools of data collection
Tools of data collectionDr.Suresh Isave
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collectionsimij
 
Data collection presentation
Data collection presentationData collection presentation
Data collection presentationKanchan Agarwal
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collectionBinty Agarwal
 
Source of Data in Research
Source of Data in ResearchSource of Data in Research
Source of Data in ResearchManu K M
 
RESEARCH METHOD - SAMPLING
RESEARCH METHOD - SAMPLINGRESEARCH METHOD - SAMPLING
RESEARCH METHOD - SAMPLINGHafizah Hajimia
 
Research data collection methods and tools
Research data collection methods and toolsResearch data collection methods and tools
Research data collection methods and toolsLikhila Abraham
 
Sampling and Sample Types
Sampling  and Sample TypesSampling  and Sample Types
Sampling and Sample TypesDr. Sunil Kumar
 
Research Design
Research DesignResearch Design
Research Designgaurav22
 
Small Data Assessment and Action Research
Small Data Assessment and Action ResearchSmall Data Assessment and Action Research
Small Data Assessment and Action Researchsrosenblatt
 
Action research for_librarians_carl2012
Action research for_librarians_carl2012Action research for_librarians_carl2012
Action research for_librarians_carl2012srosenblatt
 
Method of data collection
Method of data collectionMethod of data collection
Method of data collectionBalaji P
 
Characteristics of a data collection
Characteristics of a data collectionCharacteristics of a data collection
Characteristics of a data collectionJijo G John
 
Data analysis – using computers for presentation
Data analysis – using computers for presentationData analysis – using computers for presentation
Data analysis – using computers for presentationNoonapau
 
Primary and Secondary Data collection - Ajay Anoj & Gokul
Primary and Secondary Data collection - Ajay Anoj & GokulPrimary and Secondary Data collection - Ajay Anoj & Gokul
Primary and Secondary Data collection - Ajay Anoj & GokulAJAY ANOJ KUMAR
 

Destacado (20)

Methods of data collection
Methods of data collection Methods of data collection
Methods of data collection
 
Data Collection-Primary & Secondary
Data Collection-Primary & SecondaryData Collection-Primary & Secondary
Data Collection-Primary & Secondary
 
Tools of data collection
Tools of data collectionTools of data collection
Tools of data collection
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collection
 
Data collection presentation
Data collection presentationData collection presentation
Data collection presentation
 
Methods of data collection
Methods of data collectionMethods of data collection
Methods of data collection
 
Source of Data in Research
Source of Data in ResearchSource of Data in Research
Source of Data in Research
 
RESEARCH METHOD - SAMPLING
RESEARCH METHOD - SAMPLINGRESEARCH METHOD - SAMPLING
RESEARCH METHOD - SAMPLING
 
Types of Research
Types of ResearchTypes of Research
Types of Research
 
Research data collection methods and tools
Research data collection methods and toolsResearch data collection methods and tools
Research data collection methods and tools
 
Questionnaire
QuestionnaireQuestionnaire
Questionnaire
 
Sampling and Sample Types
Sampling  and Sample TypesSampling  and Sample Types
Sampling and Sample Types
 
Research Design
Research DesignResearch Design
Research Design
 
Small Data Assessment and Action Research
Small Data Assessment and Action ResearchSmall Data Assessment and Action Research
Small Data Assessment and Action Research
 
Action research for_librarians_carl2012
Action research for_librarians_carl2012Action research for_librarians_carl2012
Action research for_librarians_carl2012
 
Method of data collection
Method of data collectionMethod of data collection
Method of data collection
 
Characteristics of a data collection
Characteristics of a data collectionCharacteristics of a data collection
Characteristics of a data collection
 
Sources of data collection
Sources of data collectionSources of data collection
Sources of data collection
 
Data analysis – using computers for presentation
Data analysis – using computers for presentationData analysis – using computers for presentation
Data analysis – using computers for presentation
 
Primary and Secondary Data collection - Ajay Anoj & Gokul
Primary and Secondary Data collection - Ajay Anoj & GokulPrimary and Secondary Data collection - Ajay Anoj & Gokul
Primary and Secondary Data collection - Ajay Anoj & Gokul
 

Similar a Chapter 9-METHODS OF DATA COLLECTION

Preparing the Research Instruments
Preparing the Research InstrumentsPreparing the Research Instruments
Preparing the Research Instrumentsrosylingcol
 
QUESTIONNAIRE METHOD.pptx
QUESTIONNAIRE METHOD.pptxQUESTIONNAIRE METHOD.pptx
QUESTIONNAIRE METHOD.pptxGarimaBhati5
 
DATA COLLECTION AND INSTRUMENTATION
DATA COLLECTION AND INSTRUMENTATIONDATA COLLECTION AND INSTRUMENTATION
DATA COLLECTION AND INSTRUMENTATION8Jenn
 
Inquiry forms questionnaire and opinionnaire
Inquiry forms  questionnaire and opinionnaireInquiry forms  questionnaire and opinionnaire
Inquiry forms questionnaire and opinionnaireDrGavisiddappa Angadi
 
Data Collection Methods - Nursing Research
Data Collection Methods -  Nursing ResearchData Collection Methods -  Nursing Research
Data Collection Methods - Nursing Researchanand l
 
Method and tools of data collection
Method and tools of data collectionMethod and tools of data collection
Method and tools of data collectionMahmoud Shaqria
 
LESSON-1-Quantitative-Research-Characteristics-and-Importance.pptx
LESSON-1-Quantitative-Research-Characteristics-and-Importance.pptxLESSON-1-Quantitative-Research-Characteristics-and-Importance.pptx
LESSON-1-Quantitative-Research-Characteristics-and-Importance.pptxJasperDeVera2
 
Inquiry forms questionnaire, opinionnaire, attitude scale, checklist, rating...
Inquiry forms  questionnaire, opinionnaire, attitude scale, checklist, rating...Inquiry forms  questionnaire, opinionnaire, attitude scale, checklist, rating...
Inquiry forms questionnaire, opinionnaire, attitude scale, checklist, rating...DrGavisiddappa Angadi
 
Mass media research unit 3
Mass media research unit 3Mass media research unit 3
Mass media research unit 3Shubhangi Mishra
 
Data collection method
Data collection methodData collection method
Data collection methodBapu Khodnapur
 
Research Activity 1.docx
Research Activity 1.docxResearch Activity 1.docx
Research Activity 1.docxAsheFritz
 
Nursing Research- Data collection -part 1
Nursing Research- Data collection -part 1Nursing Research- Data collection -part 1
Nursing Research- Data collection -part 1kallappa sollapure
 
Questionnaire of-sociology
Questionnaire of-sociologyQuestionnaire of-sociology
Questionnaire of-sociologyHumayunKobir6
 

Similar a Chapter 9-METHODS OF DATA COLLECTION (20)

Preparing the Research Instruments
Preparing the Research InstrumentsPreparing the Research Instruments
Preparing the Research Instruments
 
QUESTIONNAIRE METHOD.pptx
QUESTIONNAIRE METHOD.pptxQUESTIONNAIRE METHOD.pptx
QUESTIONNAIRE METHOD.pptx
 
Survey design report
Survey design reportSurvey design report
Survey design report
 
DATA COLLECTION AND INSTRUMENTATION
DATA COLLECTION AND INSTRUMENTATIONDATA COLLECTION AND INSTRUMENTATION
DATA COLLECTION AND INSTRUMENTATION
 
Inquiry forms questionnaire and opinionnaire
Inquiry forms  questionnaire and opinionnaireInquiry forms  questionnaire and opinionnaire
Inquiry forms questionnaire and opinionnaire
 
My research report
My research reportMy research report
My research report
 
pr 1 week 2.pptx
pr 1 week 2.pptxpr 1 week 2.pptx
pr 1 week 2.pptx
 
Data Collection Methods - Nursing Research
Data Collection Methods -  Nursing ResearchData Collection Methods -  Nursing Research
Data Collection Methods - Nursing Research
 
Method and tools of data collection
Method and tools of data collectionMethod and tools of data collection
Method and tools of data collection
 
LESSON-1-Quantitative-Research-Characteristics-and-Importance.pptx
LESSON-1-Quantitative-Research-Characteristics-and-Importance.pptxLESSON-1-Quantitative-Research-Characteristics-and-Importance.pptx
LESSON-1-Quantitative-Research-Characteristics-and-Importance.pptx
 
Inquiry forms questionnaire, opinionnaire, attitude scale, checklist, rating...
Inquiry forms  questionnaire, opinionnaire, attitude scale, checklist, rating...Inquiry forms  questionnaire, opinionnaire, attitude scale, checklist, rating...
Inquiry forms questionnaire, opinionnaire, attitude scale, checklist, rating...
 
Mass media research unit 3
Mass media research unit 3Mass media research unit 3
Mass media research unit 3
 
Questionnaire
QuestionnaireQuestionnaire
Questionnaire
 
Questionnaire
QuestionnaireQuestionnaire
Questionnaire
 
Data collection method
Data collection methodData collection method
Data collection method
 
Research Activity 1.docx
Research Activity 1.docxResearch Activity 1.docx
Research Activity 1.docx
 
Research problem
Research problemResearch problem
Research problem
 
Nursing Research- Data collection -part 1
Nursing Research- Data collection -part 1Nursing Research- Data collection -part 1
Nursing Research- Data collection -part 1
 
Questionnaire of-sociology
Questionnaire of-sociologyQuestionnaire of-sociology
Questionnaire of-sociology
 
3.Qualitative data collection techniques by elmusharaf
3.Qualitative data collection techniques by  elmusharaf3.Qualitative data collection techniques by  elmusharaf
3.Qualitative data collection techniques by elmusharaf
 

Más de Ludy Mae Nalzaro,BSM,BSN,MN

PHARMA-ADRENERGIC AGONIST, ANTAGONIST, CHOLINERGIC AND ANTICHOLINERGIC AGENTS
PHARMA-ADRENERGIC AGONIST, ANTAGONIST, CHOLINERGIC AND ANTICHOLINERGIC AGENTSPHARMA-ADRENERGIC AGONIST, ANTAGONIST, CHOLINERGIC AND ANTICHOLINERGIC AGENTS
PHARMA-ADRENERGIC AGONIST, ANTAGONIST, CHOLINERGIC AND ANTICHOLINERGIC AGENTSLudy Mae Nalzaro,BSM,BSN,MN
 

Más de Ludy Mae Nalzaro,BSM,BSN,MN (20)

Elective 2 -4 Human Resource Management 1
Elective 2 -4 Human Resource Management 1Elective 2 -4 Human Resource Management 1
Elective 2 -4 Human Resource Management 1
 
Elective 2 -3 organizational ethics
Elective 2 -3  organizational ethicsElective 2 -3  organizational ethics
Elective 2 -3 organizational ethics
 
Elective 2- 2 development of standards
Elective 2- 2 development of standardsElective 2- 2 development of standards
Elective 2- 2 development of standards
 
Elective 2-1 Quality health care nursing
Elective 2-1 Quality health care nursingElective 2-1 Quality health care nursing
Elective 2-1 Quality health care nursing
 
PHARMA- DRUGS FOR RESPIRATORY DISORDERS
PHARMA- DRUGS FOR RESPIRATORY DISORDERSPHARMA- DRUGS FOR RESPIRATORY DISORDERS
PHARMA- DRUGS FOR RESPIRATORY DISORDERS
 
PHARMA=DRUGS FOR NEUROLOGIC DISORDERS
PHARMA=DRUGS FOR NEUROLOGIC DISORDERSPHARMA=DRUGS FOR NEUROLOGIC DISORDERS
PHARMA=DRUGS FOR NEUROLOGIC DISORDERS
 
PHARMA-ADRENERGIC AGONIST, ANTAGONIST, CHOLINERGIC AND ANTICHOLINERGIC AGENTS
PHARMA-ADRENERGIC AGONIST, ANTAGONIST, CHOLINERGIC AND ANTICHOLINERGIC AGENTSPHARMA-ADRENERGIC AGONIST, ANTAGONIST, CHOLINERGIC AND ANTICHOLINERGIC AGENTS
PHARMA-ADRENERGIC AGONIST, ANTAGONIST, CHOLINERGIC AND ANTICHOLINERGIC AGENTS
 
PHARMA-PSYCHOTHERAPEUTIC AGENTS
PHARMA-PSYCHOTHERAPEUTIC AGENTSPHARMA-PSYCHOTHERAPEUTIC AGENTS
PHARMA-PSYCHOTHERAPEUTIC AGENTS
 
PHARMA-RESPIRATORY DRUGS
PHARMA-RESPIRATORY DRUGSPHARMA-RESPIRATORY DRUGS
PHARMA-RESPIRATORY DRUGS
 
PHARMA-Anti inflammatory drugs
PHARMA-Anti inflammatory drugsPHARMA-Anti inflammatory drugs
PHARMA-Anti inflammatory drugs
 
PHARMA-ANTI-FUNGAL, ANTI-HELMINTHIC
PHARMA-ANTI-FUNGAL, ANTI-HELMINTHICPHARMA-ANTI-FUNGAL, ANTI-HELMINTHIC
PHARMA-ANTI-FUNGAL, ANTI-HELMINTHIC
 
PHARMA-THE NURSING PROCESS
PHARMA-THE NURSING PROCESSPHARMA-THE NURSING PROCESS
PHARMA-THE NURSING PROCESS
 
PHARMA-Drug forms
PHARMA-Drug formsPHARMA-Drug forms
PHARMA-Drug forms
 
PHARMA-Dosage calculations
PHARMA-Dosage calculationsPHARMA-Dosage calculations
PHARMA-Dosage calculations
 
PHARMA-PHARMACOKINETICS
PHARMA-PHARMACOKINETICSPHARMA-PHARMACOKINETICS
PHARMA-PHARMACOKINETICS
 
PHARMA-PHARMACODYNAMICS
PHARMA-PHARMACODYNAMICSPHARMA-PHARMACODYNAMICS
PHARMA-PHARMACODYNAMICS
 
PHARMA-DRUG EVALUATION
PHARMA-DRUG EVALUATIONPHARMA-DRUG EVALUATION
PHARMA-DRUG EVALUATION
 
Chapter 10-DATA ANALYSIS & PRESENTATION
Chapter 10-DATA ANALYSIS & PRESENTATIONChapter 10-DATA ANALYSIS & PRESENTATION
Chapter 10-DATA ANALYSIS & PRESENTATION
 
Chapter 8-SAMPLE & SAMPLING TECHNIQUES
Chapter 8-SAMPLE & SAMPLING TECHNIQUESChapter 8-SAMPLE & SAMPLING TECHNIQUES
Chapter 8-SAMPLE & SAMPLING TECHNIQUES
 
Chapter 6-THEORETICAL & CONCEPTUAL FRAMEWORK
Chapter 6-THEORETICAL & CONCEPTUAL FRAMEWORKChapter 6-THEORETICAL & CONCEPTUAL FRAMEWORK
Chapter 6-THEORETICAL & CONCEPTUAL FRAMEWORK
 

Último

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPathCommunity
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...AliaaTarek5
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 

Último (20)

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to Hero
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 

Chapter 9-METHODS OF DATA COLLECTION

  • 1. METHODS OF DATA COLLECTION
  • 2. What is data collection?  The process by which the researcher collects the information needed to answer the research problem.
  • 3. 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
  • 4. The selection of data collection method should be based on the following:  The identified hypothesis or research problem  The research design  The information gathered about the variables
  • 5. The methods of data collection vary according to:  Degree of structure  Degree of quantifiability  Degree of obtrusiveness  Degree of objectivity
  • 7. RESEARCH INSTRUMENTS  Instrument or a Tool  described as a device used to collect the data.  facilitate variable observation and measurement.  The type of instrument used by the researcher depends on the data collection method selected.  “Massey states that the “Instrument development requires a high degree of research expertise, as the instrument must be reliable and valid.”
  • 8. Ways of Searching for Research Instruments
  • 9. Ways of Searching for Research Instruments  Read professional journals to learn what kind of instruments are being used for similar studies, their format, style, and how they are used by the writers.  Read books that provide a description or an actual copy of various instruments for the reader.  Talk with other researchers who may know of certain tools they have developed for themselves, or may have used tools developed by others.  Combine or adapt one or more tools used by other researchers.  Develop his/her own instrument to fulfill a specific need.
  • 10. Guidelines for Developing an Instrument
  • 11. Guidelines for Developing an Instrument  The instrument must be suitable for its function.  The research tool will only be effective only as it relates to its particular purpose.  The instrument must be based on the theoretical framework.  The instrument must be based on the theoretical framework selected for the study.
  • 12. Guidelines for Developing an Instrument  The instrument should be valid.  The content of the instrument must be appropriate to test the hypothesis or answer the question being studied.  The instrument should be reliable.  The devised research tool should provide comparable data every time the subject uses the instrument.  An instrument should include an item that directly asks the hypothesis.  The research tool should be designed and constructed in such a way that cheating is minimized
  • 13. Guidelines for Developing an Instrument  The instrument should be free of bias.  A good instrument is free of build-in clues.  The instrument should not contain measures that function as hints for desired responses.  The researcher may need to read extensively to identify which aspects of the theory are appropriate for investigation.
  • 14. Guidelines for Developing an Instrument  The researcher, through the instrument, must be able to gather data that are appropriate in order to test the hypothesis or to answer the question under investigation.  The researcher should gather a group of items from such sources.  The researcher should gather a group of items from such sources as persons knowledgeable in the field, accepted theories or hypotheses, personal experience, or material from studies reported in books and professional journals.
  • 15. Guidelines for Developing an Instrument  The response given by each respondent in the research study should solely be his own. There should be no contamination through outside influences, such as someone else’s ideas or products.  Therefore, the respondent who agrees to participate in a study is responsible for supplying information or for exhibiting behavior that is truly his own.
  • 16. Types of Research Instruments
  • 17. Types of Research Instruments 1. Questionnaire 2. Checklist 3. Distribution 4. Interview 5. Observation 6. Records 7. Experimental Approach 8. Survey Approach
  • 18. Types of Research Instruments 1. Questionnaire  A series of questions designed to elicit information, which is filled in by all participants in the sample.  This can be gathered either by oral interview or by written questionnaire.  This is the most common type of research instrument.
  • 19. Advantages of a Questionnaire 1. Relatively simple method of obtaining data. 3. Less time is consumed. 5. Researcher is able to gather data from a widely scattered sample.
  • 20. Disadvantages of a Questionnaire 1. Responses to a questionnaire lack depth. 2. Respondent may omit or disregard any item he chooses. 3. Some items may force the subject to select responses that are not his actual choice. 4. Length of the questionnaire is limited according to the respondent’s interest. 5. Printing may be costly especially if it is lengthy. 6. Data are limited to the information that is voluntarily supplied by the respondents. 7. Some items maybe misunderstood. 8. The sample is limited to those who are literate.
  • 21. Techniques for Developing Questionnaire 2. Researcher may read literatures about the topic look through available questionnaires or obtain help from experts. 4. Open - ended questions are preferable than closed questions since they reflect respondent’s attitudes, feelings, which are expressed in his own words. 6. If yes - no questions are used; additional information may be gained by leaving space for respondent’s own idea. 8. The possibility of a middle ground statement is also important. 10. Every item in a questionnaire should relate to the topic under study.
  • 22. Criteria of a Good Questionnaire
  • 23. Criteria of a Good Questionnaire 1. Clarity of Language  It must meet the level of understanding of the respondents in order to generate needed responses. 2. Singleness of Objective  An item must have one and only one answer 3. One-to-One Correspondence  The questionnaire as a whole must correspond with the objectives of the study 4. Correct Grammar, Spelling, and Construction  The questionnaire must be constructed observing grammatically correct sentences, correctly spelled words, coherence in construction of sentences, etc.
  • 24. Characteristic of a Good Questionnaire 1. Well-stated title 3. Has statement of purpose 5. It assures the respondents about the confidentiality of responses 7. It is designed to achieve the objectives of the study 9. It has a clear direction 11. There are no double-negative questions 13. It avoids double barreled questions 15. The design corresponds to an easy tabulation of data
  • 25. Degree of Structure Questions 1. Open-ended questions  This gives the respondents the ability to respond in their own words. 2. Close-ended or fixed alternative  This allows the subject to choose one of the given alternatives.
  • 26. Specific Types of Closed-ended Question: 1. Dichotomous questions  This requires the respondent to make a choice between two responses such as yes/no, male/female, or married/unmarried. Example: Have you been ligated? ___ Yes ___ No 2. Multiple questions  This offers more than one choice. Example: How favorable is it to you to become pregnant at this time? ___ Very favorable ___ Favorable ___ Not sure ___ Unfavorable ___ Very unfavorable
  • 27. 3. Cafeteria questions  A special type of multiple-choice question. The respondents are asked to select a response according to their own point of view.  Example: People have different views on “family planning”, which of the following best represent your views? ___1. Family planning is necessary to quality life. ___2. Family planning is immoral and should be totally banned. ___3. Family planning has undesirable side effects that suggest need for caution. ___4. Family planning has beneficial effects that merit its practice. ___5. Family planning is moral and should be practiced.
  • 28. 4. Rank-Order questions  The respondents are asked to choose a response from the “most” to the “least”.  Example: Why must family planning be practiced? Rank your answers from the 1-most reasonable to 5-least reasonable? ___Limits maternal disabilities. ___Gives parents more time to meet family needs. ___Helps maintain financial viability of the family. ___Affords more working hours for couples. ___Ensures family capability to educate all the children in the future.
  • 29. 5. Rating questions  The respondents are asked to judge something along an ordered dimension.  This is typically bipolar in nature, with the end points specifying the opposite extremes of a continuum.  Example: On the scale of 1 to 5 where 1 means strongly disagree and 5 means strongly agree, the Health Center in Barangay A provides you the necessary services. Scale ___ 5 - Strongly agree ___ 4 - Agree ___ 3 - Uncertain ___ 2 - Disagree ___ 1 - Strongly disagree
  • 31. 2. Checklist  These are items that comprise several questions on a topic and require the same response format.
  • 32. Example: Here are some characteristics of birth-control devices that are of varying importance to different people. How important are the following in choosing a birth-control method? Characteristic of birth- Of very Of great Of some Of no control device great importance importance importance Importan ce 1. Comfort 2. Cost 3. Ease of Use 4. Effectiveness 5. Noninterference of spontaneity 6. Safety 7. Safety to partner
  • 34. 3. Interview  This involves either structure or unstructured verbal communication between the researcher and subject, during which information is obtained for a study.
  • 35. Types of Interview 1. Unstructured Interviews  more conversational  long sometimes (hours) and  conducted in a usual situation.  This allows the researcher flexibility in questioning the subject. 2. Structured Interviews  always operates within formal written instrument referred as interview schedule.  researcher designed the questions to be asked prior to interview including the order of the questions.  The questions are asked orally in either face to face or telephone format.
  • 36. Advantages of Interview 1. Data from interview are usable 2. Depth of response can be assured 3. In an exploratory study, the interview technique provides basis for the formulation of questionnaire 4. Clarification is possible 5. No items are overlooked 6. Higher proportion of responses is obtained 7. Greater amount of flexibility is allowed  Disadvantages of Interview 1. Time element 2. Biases may result 3. Costly
  • 38. 4. Observation  most commonly used in qualitative research.  Types of Observation 1. Unstructured observation  a method of collecting research data that has both opponents and proponents. 2. Structured observation  preparation of record-keeping forms such as category systems, checklists and rating scales.  researcher typically has some prior knowledge about the behavior or event of interest
  • 39. Advantages of Observation 3. Produces large quantities of data w/ relative case. 5. All data obtained from observation are usable. 7. Relatively inexpensive. 9. All subjects are potential respondents. 11. Subjects are usually available. 13. The observation technique can be stopped or begun at any time. 7. Observation may be recorded at the time they occur eliminating bias because of recall.
  • 40. Disadvantages of Observation 1. Accurate prediction of a situation or event to be observed is unlikely. 2. Interviewing selected subjects may provide more information, economically, than waiting for the spontaneous occurrence of the situation. 3. The presence of an observer gives the subjects a quality normally absent. 4. Observed events are subject to biases. 5. Extensive training is needed.
  • 42. 5. Records  A record refers to all the numbers and statistics that institutions, organizations and people keep as a record of their activities.  Sources 1. Census data 2. Educational records 3. Hospital/clinic records
  • 43.  Advantages of Records 1. Records are unbiased 2. Records often cover a long period of time 3. Inexpensive  Disadvantages of Records 1. All the researcher can have is what is there. If the record is incomplete, there is no way it can be completed. 2. No one can be sure of the conditions under which the records were collected. 3. There is no assurance of the accuracy of the records.
  • 44. 6. Experimental Approach
  • 45. 6. Experimental Approach  A powerful design for testing hypothesis of causal relationships among variables.  Researcher controls the independent variable & watches the effect on the dependent variable.  Two Groups of Experimental Approach 1. Treatment / Experimental group 2. Control group
  • 46. Advantages of Experimental Approach 1. It is difficult to minimize all the variables in which the control and experimental groups might differ. 2. Causal relationships are difficult if not impossible to establish. 3. The time element may confound the results of experimental research. 4. In an experimental laboratory setting it may be difficult to obtain subjects, especially subjects who are unaware of the experiment
  • 48. 7. Survey Approach  Non-experimental type in which the researcher investigates a community or a group of people.  Another name is FORMULATIVE OR EXPLORATORY research.  Advantages of Survey Approach 1. Can provide information about the possibilities of undertaking different types of research methods. 3. Provides data about the present. 5. Has a high degree of representativeness. 7. Easy to get respondents and information often do not express their true reactions to the questions.
  • 49. Disadvantages of Survey Approach 1. Yields a low degree of control over extraneous variables. 2. Verbal behavior is quite unreliable and that people
  • 50. MEASUREMENT OF VARIABLES
  • 51. MEASUREMENT OF VARIABLES  Measurement is the process by which the researcher assigns  specific number to the collected data (Massey, 1991).
  • 52. Levels of Measurement 1. Nominal level (the lowest level)  This level includes assignment of numbers simply to classify characteristics into categories.  “ASSIGNING A CODE TO LABEL”  Example:  In relation to marital status, 0 might represent single and 1 married.  Nominal level variables include sex, marital status and health status
  • 53. Levels of Measurement 2. Ordinal level (the second lowest level)  This permits the sorting of objects on the basis of their standing on an attribute relative to each other.  Data are categorized and ranked, ordered from “most” to “least: according to frequency of occurrence as explained by Dr. Barrientos-Tan.  represent the rank order (1st, 2nd, 3rd etc.)
  • 54. 1. Likert scale 2. Guttman scale 3. Graphic Rating Scale 4. Semantic Differential Scale
  • 55. Levels of Measurement 3. Interval level (the second highest level)  This occurs when the researcher can specify both the rank- ordering of objects attribute and the distance between those objects.  do not have an absolute or rational zero point.  Use of mode, median, mean  Example:  Fahrenheit and centigrade temperatures  anxiety levels measured on a Likert scale
  • 56. Levels of Measurement 4. Ratio level (the highest level)  The ratio level has a rational, meaningful zero.
  • 57. RELIABILITY AND VALIDITY OF MEASUREMENT
  • 58. RELIABILITY AND VALIDITY OF MEASUREMENT  Reliability  means the degree of consistency and accuracy with which an instrument measures a variable.  Validity  refers to the extent to which an instrument measures what it is designed to measure.
  • 59. Testing Validity of Data Collection
  • 60. Testing Validity of Data Collection  There are three categories of testing the validity of a data collection instrument. 2. Self-evident measures 3. Pragmatic Measures
  • 61. Self-evident measures  refers to the fact that the instrument appears what it is supposed to measure. 1.1 Face validity (VALIDITY OF THE OBSERVER)  most basic level, when little or nothing is known about the variable being measured;  the researcher typically verifies face validity by asking experts to evaluate the instrument’s intent. 1.2 Content validity  relies on the assurance that you can demonstrate an adequate coverage of the known field.  The researcher typically verifies this by conducting a literature review to determine which content should be covered and by asking experts to evaluate the instrument’s representativeness of the content.
  • 62. Pragmatic Measures  the procedure essentially tests the practical value of a particular research instrument or tool  Thus attempting to answer the question, “Does it work?”  Concurrent validity  Predictive validity  Construct validity
  • 63. Concurrent validity  refers to the extent to which an instrument can accurately identify subjects that differ with respect to a given characteristic.  Researcher typically validates concurrent validity by using the instrument in conjunction with a second instrument already known to be valid.  Ex. a measure of job satisfaction might be correlated with work performance.  Note that with concurrent validity, the two measures are taken at the same time.
  • 64. Predictive validity  to predict some future occurrences.  the researcher commonly validates this by using the instrument, then comparing the results with some future outcomes.
  • 65. Construct validity  useful mainly for measuring the traits or feelings such as generosity, grief or satisfaction.  is related to the theoretical ideas behind the personality trait under consideration
  • 66. Testing the Reliability of Research Instrument
  • 67. Testing the Reliability of Research Instrument 1. Stability  The best indicator of an instrument’s reliability.  This refers to the extent to which the same results are obtained with repeated use of an instrument  There are two categories for tests of stability:  Test / Retest  Repeated observations
  • 68. Testing the Reliability of Research Instrument 2. Internal consistency  This refers to the extent to which all parts of the measurement techniques are measuring the same concept. 3. Test of Equivalence  This refers to the consistency of the results by different investigators or similar tests at the same time.