L3 | DATA COLLECTION

Cards (41)

  • DATA COLLECTION
    • capture quality evidence that seeks to answer all the questions that have been posed.
    • deduce quality information that is a prerequisite for making informed decisions.
  • DATA COLLECTION
    • can draw inferences and make informed decisions on what is considered factual.
  • TYPES OF DATA COLLECTION
    1. primary data collection
    2. secondary data collection
  • PRIMARY DATA COLLECTION
    • gathering of raw data collected at the source.
    • process of collecting the original data collected by a researcher for a specific research purpose. 
    • could be further analyzed into two segments; 
    • qualitative research and 
    • quantitative data collection methods.
  • SECONDARY DATA COLLECTION
    • referred to as the gathering of second-hand data collected by an individual who is not the original user. 
    • process of collecting data that is already existing
    • published books, journals and/or online portals. 
    • much less expensive and easier to collect.
  • QUALITATIVE RESEARCH METHODS
    • does not involve the collection of data that involves numbers or a need to be deduced through a mathematical calculation
    • based on the non-quantifiable elements like the feeling or emotion of the researcher. 
    • open-ended questionnaire.
  • QUALITATIVE RESEARCH METHODS
    1. INTERVIEW
    2. OBSERVATION
    3. QUESTIONNAIRE
    4. SCHEDULES
  • INTERVIEW
    • participants are asked to talk about the area under consideration.
  • STEPS FOR AN EFFECTIVE INTERVIEW
    • Prepare interview schedule 
    • Select subjects/ key respondent 
    • Conduct the interview 
    • Analyze and interpret data collected from the interview
  • CLASSIFICATIONS OF INTERVIEW
    • STRUCTURED INTERVIEWS
    • UNSTRUCTURED INTERVIEWS
    • FOCUSED INTERVIEWS
    • CLINICAL INTERVIEWS
    • GROUP INTERVIEWS
    • INDIVIDUAL INTERVIEWS
    • QUALITATIVE AND QUANTITATIVE INTERVIEWS
    • SELECTION INTERVIEWS
  • STRUCTURED INTERVIEWS
    • set of pre-decided questions
  • UNSTRUCTURED INTERVIEWS
    • don’t follow a system of pre- determined questions.
  • FOCUSED INTERVIEWS
    • 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 individual’s life experience.
  • GROUP INTERVIEWS
    • a group of 6 to 8 individuals is interviewed.
  • QUALITATIVE AND QUANTITATIVE INTERVIEWS
    • divided on the basis of subject matter i.e., whether qualitative or quantitative.
  • INDIVIDUAL INTERVIEWS
    • Interviewer meets a single person and interviews him.
  • SELECTION INTERVIEWS
    • Done for selection of people for certain Jobs.
  • OBSERVATION
    • data from the field is collected with the help of observation by the observer or by personally going to the field. 
    • “Observation may be defined as systematic viewing, coupled with consideration of seen phenomenon.” (P.V Young)
  • STEPS FOR AN EFFECTIVE OBSERVATION
    • Determine what needs to be observed
    • Select participants
    • Random/Selected
    • Conduct the observation (venue, duration, recording materials, take photographs)
    • Compile data collected
    • Analyze and interpret data collected
  • CLASSIFICATIONS OF OBSERVATION
    • STRUCTURED OBSERVATION
    • UNSTRUCTURED OBSERVATION
    • PARTICIPANT OBSERVATION
    • NON-PARTICIPANT OBSERVATION
  • STRUCTURED OBSERVATION
    • characterized by a careful definition of the units to be observed, the style of recording the observed information, standardized conditions of observation and the selection of related data of observation.
  • UNSTRUCTURED OBSERVATION
    • takes place without the above characteristics.
  • PARTICIPANT OBSERVATION
    • observer is member of the group which he is observing.
  • NON-PARTICIPANT OBSERVATION
    • observer is observing people without giving any information to them.
  • QUESTIONNAIRE
    • predefined set of questions, assembled in a pre-determined order. 
    • handy when the researcher is trying to collect information from large numbers of people.
  • STEPS FOR AN EFFECTIVE QUESTIONNAIRE
    • Prepare questions (Formulate & choose types of questions, order them, write instructions, make copies)
    • Select your respondents (Random/Selected)
    • Administer the questionnaire(date, venue, time)
    • Tabulate data collected
    • Analyze and interpret data collected
  • CLASSIFICATIONS OF QUESTIONNAIRE
    • OPEN-ENDED QUESTIONS
    • CLOSE-ENDED OR FIXED ALTERNATIVE QUESTIONS
  • OPEN-ENDED QUESTIONS
    • give the respondents the ability to respond in their own words.
  • CLOSE-ENDED OR FIXED ALTERNATIVE QUESTIONS
    • allow the respondents to choose one of the given alternatives. 
    • Types:
    • Dichotomous questions 
    • Multiple Questions.
  • SCHEDULES
    • very similar to Questionnaire method.
    • filled by the enumerator who is specially appointed for the purpose.
    • goes to the respondents, asks them the questions from the Questionnaire in the order listed, and records the responses in the space provided.
    • must be trained in administering the schedule
  • DATA ANALYSIS
    • process of evaluating data using logical and analytical reasoning to carefully examine each component of the data collected or provided. 
    • one of the many steps that are taken when a research experiment is conducted.
  • QUALITATIVE DATA ANALYSIS
    • data obtained through this method consists of words, pictures, symbols and observations.
    • procedures and processes that are utilized for the analysis of data to provide some level of understanding, explanation or interpretation.
    • no statistical approaches are used to collect and analyze this data
  • QUALITATIVE DATA
    • non-numeric information such as interview transcripts, notes, video and audio recordings, images and text documents
  • QUALITATIVE DATA ANALYSIS
    1. CONTENT ANALYSIS
    2. NARRATIVE ANALYSIS
    3. DISCOURSE ANALYSIS
    4. FRAMEWORK ANALYSIS
    5. GROUNDED THEORY
  • CONTENT ANALYSIS
    • process of categorizing verbal or behavioural data to classify, summarize and tabulate the data.
  • NARRATIVE ANALYSIS
    • reformulation of stories presented by respondents taking into account the context of each case and different experiences of each respondent. 
    • revision of primary qualitative data by researcher.
  • DISCOURSE ANALYSIS
    • naturally occurring talk and all types of written text.
  • FRAMEWORK ANALYSIS
    • more advanced method that consists of several stages:
    • Familiarization
    • identifying a thematic framework
    • Coding
    • Charting
    • Mapping
    • Interpretation