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Research Methods

Sociology AQA research methods

Choice of Method - Practical issues Time, Money, Characteristics and Skills of the Researcher, Access and Opportunity
Choice of Method - Ethical Issues Consent, Deception, Confidentiality, Harm
Choice of Method - Theoretical Issues Validity, Reliability, Representativeness, Positivism, Interpretivism
Choice of Topic Personal Interest, Theoretical Perspective, Funding, Opportunity
Types of Data - Primary Data Examples Experiments, Open Interviews, Closed Interviews, Participant Observations, Open Questionnaires, Closed Questionnaires, Non Participant observations
Choice of Method - Practical issues Time, Money, Characteristics and Skills of the Researcher, Access and Opportunity
Choice of Method - Ethical Issues Consent, Deception, Confidentiality, Harm
Choice of Method - Theoretical Issues Validity, Reliability, Representativeness, Positivism, Interpretivism
Choice of Topic Personal Interest, Theoretical Perspective, Funding, Opportunity
Types of Data - Primary Data Examples Experiments, Open Interviews, Closed Interviews, Participant Observations, Open Questionnaires, Closed Questionnaires, Non Participant observations
Types of Data - Quantitative Data Numerical Data, Concerned with Measurement and Facts
Strengths and Weaknesses of Primary Data Strengths - Necessary to explore sociological topics that aren't recorded generally, useful for sociologists who need specific data Weaknesses - practical and ethical problems due to interacting with participants
Strengths and Weaknesses of Quantitative Data Strengths - Easy to Objectively Compare or Analyse, Less Open to Bias or Interpretation Weaknesses - Only gives Shallow View of Topic, No Insight into an Individual's Feelings and Experiences, Implies Incorrect Similarities
Strengths and Weaknesses of Secondary Data Strengths - No interaction with participants means less practical or ethical problems Weakness - Harder to get specific information, harder to explore sociological topics that aren't generally recorded
What do researchers need to decide before they can start their research? HOW they are gathering data (Choice of Method), WHAT they are gathering data on (Choice of Topic), What DATA they are going to use (Primary/Secondary, Quantitative/Qualitative)
Types of Data - Secondary Data Examples Historical Documents, Official Documents, Official Statistics, Personal Documents
Research Design Research Questions (What do they want to answer with their study), Hypothesis (What results a they think they will get), Operationalisation (Clearly define what is being reported), Pilot Study (Trial Study)
Strengths and Weaknesses of Qualitative Data Strengths - More in Depth and Detailed Description of a Topic, Insight into an Individuals Feelings and Experiences, Description of differences between Individuals Weaknesses - Hard to Objectively Compare or Analyse, Open to Bias and Interpretation
Types of Data - Qualitative Data Non Numerical Data, Concerned with Meaning
Sample Characteristics The Details and Groups of the People in the Sample
Types of Data - Quantitative Data Numerical Data, Concerned with Measurement and Facts
Sampling Frame The Source from which the Sample is Drawn (Electoral Registers, Doctors Lists, Post Code Files, Telephone Lists, School Registers)
Strengths and Weaknesses of Quantitative Data Strengths - Easy to Objectively Compare or Analyse, Less Open to Bias or Interpretation Weaknesses - Only gives Shallow View of Topic, No Insight into an Individual's Feelings and Experiences, Implies Incorrect Similarities
Types of Sampling Methods Random, Opportunistic, Quota, Stratified, Systematic, Snowball, Volunteer
What do researchers need to decide before they can start their research? HOW they are gathering data (Choice of Method), WHAT they are gathering data on (Choice of Topic), What DATA they are going to use (Primary/Secondary, Quantitative/Qualitative)
Research Design Research Questions (What do they want to answer with their study), Hypothesis (What results a they think they will get), Operationalisation (Clearly define what is being reported), Pilot Study (Trial Study)
Sample The Participants used in a Study
Target Population The People that the Study is about
Sample Characteristics The Details and Groups of the People in the Sample
Sampling Frame The Source from which the Sample is Drawn (Electoral Registers, Doctors Lists, Post Code Files, Telephone Lists, School Registers)
Types of Sampling Methods Random, Opportunistic, Quota, Stratified, Systematic, Snowball, Volunteer
Choice of Method - Practical issues Time, Money, Characteristics and Skills of the Researcher, Access and Opportunity
Choice of Method - Ethical Issues Consent, Deception, Confidentiality, Harm
Choice of Method - Theoretical Issues Validity, Reliability, Representativeness, Positivism, Interpretivism
Choice of Topic Personal Interest, Theoretical Perspective, Funding, Opportunity
Types of Data - Primary Data Examples Experiments, Open Interviews, Closed Interviews, Participant Observations, Open Questionnaires, Closed Questionnaires, Non Participant observations
Strengths and Weaknesses of Primary Data Strengths - Necessary to explore sociological topics that aren't recorded generally, useful for sociologists who need specific data Weaknesses - practical and ethical problems due to interacting with participants
Strengths and Weaknesses of Secondary Data Strengths - No interaction with participants means less practical or ethical problems Weakness - Harder to get specific information, harder to explore sociological topics that aren't generally recorded
Types of Data - Secondary Data Examples Historical Documents, Official Documents, Official Statistics, Personal Documents
Strengths and Weaknesses of Qualitative Data Strengths - More in Depth and Detailed Description of a Topic, Insight into an Individuals Feelings and Experiences, Description of differences between Individuals Weaknesses - Hard to Objectively Compare or Analyse, Open to Bias and Interpretation
Types of Data - Qualitative Data Non Numerical Data, Concerned with Meaning
Types of Data - Quantitative Data Numerical Data, Concerned with Measurement and Facts
Strengths and Weaknesses of Quantitative Data Strengths - Easy to Objectively Compare or Analyse, Less Open to Bias or Interpretation Weaknesses - Only gives Shallow View of Topic, No Insight into an Individual's Feelings and Experiences, Implies Incorrect Similarities
What do researchers need to decide before they can start their research? HOW they are gathering data (Choice of Method), WHAT they are gathering data on (Choice of Topic), What DATA they are going to use (Primary/Secondary, Quantitative/Qualitative)
Research Design Research Questions (What do they want to answer with their study), Hypothesis (What results a they think they will get), Operationalisation (Clearly define what is being reported), Pilot Study (Trial Study)
Sample The Participants used in a Study
Target Population The People that the Study is about
Sample Characteristics The Details and Groups of the People in the Sample
Sampling Frame The Source from which the Sample is Drawn (Electoral Registers, Doctors Lists, Post Code Files, Telephone Lists, School Registers)
Types of Sampling Methods Random, Opportunistic, Quota, Stratified, Systematic, Snowball, Volunteer
Choice of Method - Practical issues Time, Money, Characteristics and Skills of the Researcher, Access and Opportunity
Choice of Method - Ethical Issues Consent, Deception, Confidentiality, Harm
Choice of Method - Theoretical Issues Validity, Reliability, Representativeness, Positivism, Interpretivism
Choice of Topic Personal Interest, Theoretical Perspective, Funding, Opportunity
Types of Data - Primary Data Examples Experiments, Open Interviews, Closed Interviews, Participant Observations, Open Questionnaires, Closed Questionnaires, Non Participant observations
Strengths and Weaknesses of Primary Data Strengths - Necessary to explore sociological topics that aren't recorded generally, useful for sociologists who need specific data Weaknesses - practical and ethical problems due to interacting with participants
Strengths and Weaknesses of Secondary Data Strengths - No interaction with participants means less practical or ethical problems Weakness - Harder to get specific information, harder to explore sociological topics that aren't generally recorded
Types of Data - Secondary Data Examples Historical Documents, Official Documents, Official Statistics, Personal Documents
Strengths and Weaknesses of Qualitative Data Strengths - More in Depth and Detailed Description of a Topic, Insight into an Individuals Feelings and Experiences, Description of differences between Individuals Weaknesses - Hard to Objectively Compare or Analyse, Open to Bias and Interpretation
Types of Data - Qualitative Data Non Numerical Data, Concerned with Meaning
Types of Data - Quantitative Data Numerical Data, Concerned with Measurement and Facts
Strengths and Weaknesses of Quantitative Data Strengths - Easy to Objectively Compare or Analyse, Less Open to Bias or Interpretation Weaknesses - Only gives Shallow View of Topic, No Insight into an Individual's Feelings and Experiences, Implies Incorrect Similarities
What do researchers need to decide before they can start their research? HOW they are gathering data (Choice of Method), WHAT they are gathering data on (Choice of Topic), What DATA they are going to use (Primary/Secondary, Quantitative/Qualitative)
Research Design Research Questions (What do they want to answer with their study), Hypothesis (What results a they think they will get), Operationalisation (Clearly define what is being reported), Pilot Study (Trial Study)
Sample The Participants used in a Study
Target Population The People that the Study is about
Sample Characteristics The Details and Groups of the People in the Sample
Sampling Frame The Source from which the Sample is Drawn (Electoral Registers, Doctors Lists, Post Code Files, Telephone Lists, School Registers)
Types of Sampling Methods Random, Opportunistic, Quota, Stratified, Systematic, Snowball, Volunteer
Choice of Method - Practical issues Time, Money, Characteristics and Skills of the Researcher, Access and Opportunity
Choice of Method - Ethical Issues Consent, Deception, Confidentiality, Harm
Choice of Method - Theoretical Issues Validity, Reliability, Representativeness, Positivism, Interpretivism
Choice of Topic Personal Interest, Theoretical Perspective, Funding, Opportunity
Types of Data - Primary Data Examples Experiments, Open Interviews, Closed Interviews, Participant Observations, Open Questionnaires, Closed Questionnaires, Non Participant observations
Strengths and Weaknesses of Primary Data Strengths - Necessary to explore sociological topics that aren't recorded generally, useful for sociologists who need specific data Weaknesses - practical and ethical problems due to interacting with participants
Strengths and Weaknesses of Secondary Data Strengths - No interaction with participants means less practical or ethical problems Weakness - Harder to get specific information, harder to explore sociological topics that aren't generally recorded
Types of Data - Secondary Data Examples Historical Documents, Official Documents, Official Statistics, Personal Documents
Strengths and Weaknesses of Qualitative Data Strengths - More in Depth and Detailed Description of a Topic, Insight into an Individuals Feelings and Experiences, Description of differences between Individuals Weaknesses - Hard to Objectively Compare or Analyse, Open to Bias and Interpretation
Types of Data - Qualitative Data Non Numerical Data, Concerned with Meaning
Types of Data - Quantitative Data Numerical Data, Concerned with Measurement and Facts
Strengths and Weaknesses of Quantitative Data Strengths - Easy to Objectively Compare or Analyse, Less Open to Bias or Interpretation Weaknesses - Only gives Shallow View of Topic, No Insight into an Individual's Feelings and Experiences, Implies Incorrect Similarities
What do researchers need to decide before they can start their research? HOW they are gathering data (Choice of Method), WHAT they are gathering data on (Choice of Topic), What DATA they are going to use (Primary/Secondary, Quantitative/Qualitative)
Research Design Research Questions (What do they want to answer with their study), Hypothesis (What results a they think they will get), Operationalisation (Clearly define what is being reported), Pilot Study (Trial Study)
Sample The Participants used in a Study
Target Population The People that the Study is about
Sample Characteristics The Details and Groups of the People in the Sample
Sampling Frame The Source from which the Sample is Drawn (Electoral Registers, Doctors Lists, Post Code Files, Telephone Lists, School Registers)
Types of Sampling Methods Random, Opportunistic, Quota, Stratified, Systematic, Snowball, Volunteer
Choice of Method - Practical issues Time, Money, Characteristics and Skills of the Researcher, Access and Opportunity
Choice of Method - Ethical Issues Consent, Deception, Confidentiality, Harm
Choice of Method - Theoretical Issues Validity, Reliability, Representativeness, Positivism, Interpretivism
Choice of Topic Personal Interest, Theoretical Perspective, Funding, Opportunity
Types of Data - Primary Data Examples Experiments, Open Interviews, Closed Interviews, Participant Observations, Open Questionnaires, Closed Questionnaires, Non Participant observations
Strengths and Weaknesses of Primary Data Strengths - Necessary to explore sociological topics that aren't recorded generally, useful for sociologists who need specific data Weaknesses - practical and ethical problems due to interacting with participants
Strengths and Weaknesses of Secondary Data Strengths - No interaction with participants means less practical or ethical problems Weakness - Harder to get specific information, harder to explore sociological topics that aren't generally recorded
Types of Data - Secondary Data Examples Historical Documents, Official Documents, Official Statistics, Personal Documents
Strengths and Weaknesses of Qualitative Data Strengths - More in Depth and Detailed Description of a Topic, Insight into an Individuals Feelings and Experiences, Description of differences between Individuals Weaknesses - Hard to Objectively Compare or Analyse, Open to Bias and Interpretation
Types of Data - Qualitative Data Non Numerical Data, Concerned with Meaning
Types of Data - Quantitative Data Numerical Data, Concerned with Measurement and Facts
Strengths and Weaknesses of Quantitative Data Strengths - Easy to Objectively Compare or Analyse, Less Open to Bias or Interpretation Weaknesses - Only gives Shallow View of Topic, No Insight into an Individual's Feelings and Experiences, Implies Incorrect Similarities
What do researchers need to decide before they can start their research? HOW they are gathering data (Choice of Method), WHAT they are gathering data on (Choice of Topic), What DATA they are going to use (Primary/Secondary, Quantitative/Qualitative)
Research Design Research Questions (What do they want to answer with their study), Hypothesis (What results a they think they will get), Operationalisation (Clearly define what is being reported), Pilot Study (Trial Study)
Sample The Participants used in a Study
Target Population The People that the Study is about
Sample Characteristics The Details and Groups of the People in the Sample
Sampling Frame The Source from which the Sample is Drawn (Electoral Registers, Doctors Lists, Post Code Files, Telephone Lists, School Registers)
Types of Sampling Methods Random, Opportunistic, Quota, Stratified, Systematic, Snowball, Volunteer
Random Sampling Equal Chance of Selection from Frame, No Order, Anyone Available, Until enough Participants are Recruited
Stratified Sampling Equal Chance of Selection from Frame, No Order, Until Proportions are Met
Opportunistic Sampling Participants Available at Time, Until enough Participants are Recruited
Quota Sampling Participants Available at Time, Until Proportions are Met
Systematic Sampling Putting Sampling Frame into Order, Picking every Nth Person
Snowball Sampling Participants who are Available at the Time are asked to Recruit other Participants
Volunteer Sampling Information is sent out, Participants will Contact Researcher
Evaluations of Sampling Methods Proportions Meet Sample Characteristics - More Representative, Less Practical Using Participants Available at Time - More Practical, Less Representative Using Sample Frame - More Representative, Less Representative (Some demographics are missed off)
Types of Questionnaires Closed Questionnaires (Questions with Restricted Answers to Choose from), Open Questionnaires (Questions where the Participants can Answer However they want Freely)
Evaluation of Questionnaires Closed - Lack Validity, Reliable, Representative, Ethical, Practical, Positivist Open - Valid, Unreliable, Representative, Practical OR Impractical, Ethical, Interpretivist
Types of Observations Participant Observations, Non Participant Observations, Overt Observations, Covert Observations
Evaluation of Questionnaires Participant - Unreliable, Valid, Unrepresentative, Interpretivist Non Part - Invalid, Reliable, Unrepresentative, Impractical, Positivist Overt - Invalid, Unrepresentative, Impractical, Unethical Covert - Valid, Unrepresentative, Impractical, Ethical
Types of Interviews Structured - A Pre Set list of Questions that is Rigidly not Deviated from Unstructured - No Pre Set list of Questions, Free Flowing Discussion, Flexibility to create Questions
Evaluation of Questionnaires Structured - Lack Validity, Reliable, Unrepresentative, Positivist, Impractical, Ethical Unstructured - Valid, Unreliable, Unrepresentative, Interpretivist, Impractical, Ethical
Types of Experiments Lab Experiments (Comparing Groups in a Controlled Artificial Setting), Field Experiments (Comparing Groups in the Real World)
Evaluations of Experiments Lack Validity (Field higher than Lab), Reliable (Field lower than Lab), Unrepresentative, Impractical, Unethical, Positivist
Types of Documents Personal Documents (Written, Picture, Media, Records from Individual's First Hand Accounts), Historical Documents (Written, Picture, Media from the Past)
Evaluations of Documents Valid, Unreliable, Unrepresentative, Practical, Ethical, Interpretivist (Can be Positivist if using Content Analysis)
Thematic Analysis vs Content Analysis Thematic - Noticing Reoccurring Themes and Writing in Detail about Them (Qual from Qual) Content - Creating Categories and Counting each Time they Occur Quant from Qual)
Statistics Numerical Data Collected by the Government or Official Statistics on a Wide Range of Topics - Hard Stats and Soft Stats
Evaluations of Statistics Lack Validity, Reliable (Unless Soft), Representative (Unless Soft), Practical, Positivist
Longitudinal studies Data is Collected from the Same Sample Numerous Times, Over a Long Period of Time, Often Using a Variety of Methods
Case Studies Gathering a large amount of data, using a variety of methods, from a single individual, small sample or single organisation
Methodological Pluralism Using a Variety of Methods in a Single Piece of Research
Triangulation Using Two or More Research Methods to Check the Validity, Representativity and Reliability of Results
Evaluation of Longitudinal Studies Strengths - Valid (Can See Changes over Time), Valid (Greater Chance to Build Rapport) Weaknesses - Unrepresentative (Losing Participants over Time), Unpractical and Unethical (Repeat Interaction with Participant), Unreliable (Increased Chance of Bias)
Evaluation of Case Studies Strengths - Valid (Broader Range of Depth and Detail), Valid (Greater Chance to Build Rapport) Weaknesses - Unreliable (Increased Chance of Bias), Unethical and Unpractical (Lots of Interaction with Participants), Unrepresentative (Small Samples)
Created by: Skyelark
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