SlideShare a Scribd company logo
Lesson 5: Data Collection




Friday, 6 April 2012
Lesson 4: Reconstructing Memories
                              EXAM QUESTION




                                            Taken from 2011 Mid Year Exam

Friday, 6 April 2012
Model response:




Friday, 6 April 2012
Lesson 5: Data Collection
                               Objectives

     ~ Define descriptive statistics 
     ~ Define qualitative research
     ~ Define quantitative research
     ~ Distinguish between subject and objective data
     ~ Outline scales of measurement 
     ~ Describe the techniques of qualitative and quantitative
     data collection: case studies; observational studies; self-
     reports; questionnaires; interviews; brain imaging and
     recording technologies
     ~ Describe the different types of test reliability and validity

Friday, 6 April 2012
Types of Data                                  Scales of Measurement
                       Qualitative
                       Quantitative                                                               Nominal
                       Subjective                                                                 Ordinal
                        Objective                                                                 Interval
                                                                                                   Ratio



                                      Data Collection

       Techniques
           Case Studies
                                                                            Quality
             Interview                                                                                   Validity
           Questionnaires
         Psychological Tests
            Technology                                      Reliability                      Internal          External
          Cross-Sectional                Internal
            Longitudinal
                                                                                   Content
                                        Inter-rater               Parallel forms
                                                                                                    Criterion-related
                                                    Test-retest
                                                                                     Construct
                                                                                                               Generalisation

Friday, 6 April 2012
Types of Data


Friday, 6 April 2012
Qualitative: descriptions of characteristics

                         Quantitative: refers to measurements

                            Subjective: based on opinions

            Objective: based on identifiable external criterion




Friday, 6 April 2012
Friday, 6 April 2012
What type of data was collected??

                          Qualitative or Quantitative?

                            Objective or Subjective?




Friday, 6 April 2012
Scales of Measurement


Friday, 6 April 2012
Nominal: property with no quantitative value, e.g. hair
                         colour

   Ordinal: definite sequence though inconsistent gaps,
                      e.g. age of class


  Interval: scaled measure with constant values between
              each level *note no value of zero*


  Ratio: most precise, basically an interval scale but with
                    zero meaning zero!

Friday, 6 April 2012
What scale are each of the following measured?


                           Psych Study Score?

                                                temperature?
                       eye colour?


                                     height of people
                                         in room?


Friday, 6 April 2012
Techniques


Friday, 6 April 2012
Case Studies: detailed observations of an individual over a period of time


        Observation: Naturalistic - observing voluntary behaviours in natural
                                     environment
                     Controlled - observing voluntary behaviours in structured
                                             environment

                       Questionnaires: collecting written responses from participants


                            Psychological Tests: personality or multiple choice

                                        Technology: Brain-imaging

   Cross-Sectional: participant data across different ages and groups compared


                         Longitudinal: same participant over a long period of time

Friday, 6 April 2012
Provide an example of each

                           Ask around room




Friday, 6 April 2012
Quality


Friday, 6 April 2012
Reliability                 Validity
   Internal - extent to which    Internal - measures what it
      each aspect equally             claims to measure
    contribute to final score     - content (face): appears to
                                            be valid
   Inter-rater - same result        - construct: applied to
    obtained regardless of                   theory
         administrator

    Test-retest - same              External - can results be
 participant, same results                generalised?
        second time             -criterion related: support from
                                         other research
         Parallel form - pre    - characteristics of experiment
           and post test              enable generalisation

Friday, 6 April 2012

More Related Content

PDF
2010 Aapor Poster Final
PPTX
Standardized assessments
PPTX
Aligning tests to standards
PPT
Qualitative Lab - Analysis And Report
PPT
Problem definition research methodology
ODP
Qualitative research, lab report overview, and review of lectures 1 to 7
PPT
Chapter 10
PPTX
Research methodology part 2
2010 Aapor Poster Final
Standardized assessments
Aligning tests to standards
Qualitative Lab - Analysis And Report
Problem definition research methodology
Qualitative research, lab report overview, and review of lectures 1 to 7
Chapter 10
Research methodology part 2

What's hot (20)

PPT
Two phases of establishing cutoff score
PDF
Brm kbs-1
PPT
2 types of research
PPT
Chapter 8
PDF
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
PPSX
Welcome to OCC212
PPTX
Information Systems Action design research method
PPT
Leverhulme methods presentation
PPSX
Tools in Qualitative Research: Validity and Reliability
PPTX
Research problem
PPTX
Understanding reliability and validity
PDF
Data collection m.com final
PPTX
Inteview by zewde alemayehu tilahun
PPT
Principles of research
PDF
An assessment of the effects of item difficulty and examinee ability on the e...
PPT
Chapter 12
PPT
2 defining the research problem
PDF
Research seminar lecture_10_analysing_qualitative_data
Two phases of establishing cutoff score
Brm kbs-1
2 types of research
Chapter 8
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
Welcome to OCC212
Information Systems Action design research method
Leverhulme methods presentation
Tools in Qualitative Research: Validity and Reliability
Research problem
Understanding reliability and validity
Data collection m.com final
Inteview by zewde alemayehu tilahun
Principles of research
An assessment of the effects of item difficulty and examinee ability on the e...
Chapter 12
2 defining the research problem
Research seminar lecture_10_analysing_qualitative_data
Ad

Viewers also liked (7)

PDF
Lesson 10 a comparison of operant and classical conditioning2013
PDF
(Lesson 9 2013) split brain studies
KEY
Characteristics and patterns of sleep
KEY
Lesson 14 schizophrenia biological factors
PDF
U3 ao s 2 memory revision 2013
PDF
Lesson 2 phases of neural dvelopment 2013
PDF
Lesson 11 trial error learning 2013
Lesson 10 a comparison of operant and classical conditioning2013
(Lesson 9 2013) split brain studies
Characteristics and patterns of sleep
Lesson 14 schizophrenia biological factors
U3 ao s 2 memory revision 2013
Lesson 2 phases of neural dvelopment 2013
Lesson 11 trial error learning 2013
Ad

Similar to Lesson5datacollection (20)

DOCX
Research the process of data collection
PDF
Lesson 9 data collection 2013
PPT
Types of instruments new
PPTX
Data Collection Techniques
PPT
Types of instruments
PPT
Test and some test types (ev elt)
PPTX
DATA COLLECTION AND INSTRUMENTATION
PPT
1.model building
PPTX
research-instruments (1).pptx
PPTX
Data Collection and Instrumentation
PPTX
caharacter instrument chapter 3 ppt for reporting
PPT
Causal comparative n survey
PPTX
Chapter 2 class version b
PPTX
Overview of Research Methodology
PPTX
measurement Data collection
PPTX
Unit 9c. Data Collection tools.pptx
PPTX
INTRODUCTION TO DATA COLLECTION INSTRUMENTS (DCIs)
PPTX
III12-M1-Research Agenda - INquiry, Inv. and IMMERSION.pptx
Research the process of data collection
Lesson 9 data collection 2013
Types of instruments new
Data Collection Techniques
Types of instruments
Test and some test types (ev elt)
DATA COLLECTION AND INSTRUMENTATION
1.model building
research-instruments (1).pptx
Data Collection and Instrumentation
caharacter instrument chapter 3 ppt for reporting
Causal comparative n survey
Chapter 2 class version b
Overview of Research Methodology
measurement Data collection
Unit 9c. Data Collection tools.pptx
INTRODUCTION TO DATA COLLECTION INSTRUMENTS (DCIs)
III12-M1-Research Agenda - INquiry, Inv. and IMMERSION.pptx

More from Crystal Delosa (20)

PDF
U302 part b reforming the civil justice system
PDF
U302 part a the victorian civil justice system
PDF
U301 part b reforming the victorian criminal justice system
PDF
U301 part a the victorian criminal justice system
PPTX
U402 B Engaging in Justice
PPTX
U402 a court processes and procedures (working progress)
PPTX
2015 u401 dispute resolution bodies and methods
PPTX
2015 u303 the role of the courts in law making1
PPTX
Peo law & goverance
PPTX
2015 u302 b protection of rights
PPTX
2015 u302 part a the constitution
PPTX
U301 part b changing the law working progress
PPTX
U301 part a australian parliament system
PPTX
Structure and function of parliament
PPTX
Legal 3 4 introduction
PDF
U402 Part B civil procedures and the jury system
PDF
U201 issues in civil law
PDF
U402part a theadversarysystem
PDF
U401 disputeresolutionmethods
PDF
Ao s3thecourtroom
U302 part b reforming the civil justice system
U302 part a the victorian civil justice system
U301 part b reforming the victorian criminal justice system
U301 part a the victorian criminal justice system
U402 B Engaging in Justice
U402 a court processes and procedures (working progress)
2015 u401 dispute resolution bodies and methods
2015 u303 the role of the courts in law making1
Peo law & goverance
2015 u302 b protection of rights
2015 u302 part a the constitution
U301 part b changing the law working progress
U301 part a australian parliament system
Structure and function of parliament
Legal 3 4 introduction
U402 Part B civil procedures and the jury system
U201 issues in civil law
U402part a theadversarysystem
U401 disputeresolutionmethods
Ao s3thecourtroom

Recently uploaded (20)

PDF
Web App vs Mobile App What Should You Build First.pdf
PPTX
SOPHOS-XG Firewall Administrator PPT.pptx
PPTX
Chapter 5: Probability Theory and Statistics
PDF
Enhancing emotion recognition model for a student engagement use case through...
PDF
Heart disease approach using modified random forest and particle swarm optimi...
PDF
Video forgery: An extensive analysis of inter-and intra-frame manipulation al...
PDF
ENT215_Completing-a-large-scale-migration-and-modernization-with-AWS.pdf
PPTX
OMC Textile Division Presentation 2021.pptx
PDF
Mushroom cultivation and it's methods.pdf
PPTX
Group 1 Presentation -Planning and Decision Making .pptx
PDF
Zenith AI: Advanced Artificial Intelligence
PPTX
Programs and apps: productivity, graphics, security and other tools
PDF
project resource management chapter-09.pdf
PDF
Encapsulation_ Review paper, used for researhc scholars
PDF
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
PDF
A comparative analysis of optical character recognition models for extracting...
PDF
Univ-Connecticut-ChatGPT-Presentaion.pdf
PDF
Getting Started with Data Integration: FME Form 101
PDF
1 - Historical Antecedents, Social Consideration.pdf
PPTX
KOM of Painting work and Equipment Insulation REV00 update 25-dec.pptx
Web App vs Mobile App What Should You Build First.pdf
SOPHOS-XG Firewall Administrator PPT.pptx
Chapter 5: Probability Theory and Statistics
Enhancing emotion recognition model for a student engagement use case through...
Heart disease approach using modified random forest and particle swarm optimi...
Video forgery: An extensive analysis of inter-and intra-frame manipulation al...
ENT215_Completing-a-large-scale-migration-and-modernization-with-AWS.pdf
OMC Textile Division Presentation 2021.pptx
Mushroom cultivation and it's methods.pdf
Group 1 Presentation -Planning and Decision Making .pptx
Zenith AI: Advanced Artificial Intelligence
Programs and apps: productivity, graphics, security and other tools
project resource management chapter-09.pdf
Encapsulation_ Review paper, used for researhc scholars
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
A comparative analysis of optical character recognition models for extracting...
Univ-Connecticut-ChatGPT-Presentaion.pdf
Getting Started with Data Integration: FME Form 101
1 - Historical Antecedents, Social Consideration.pdf
KOM of Painting work and Equipment Insulation REV00 update 25-dec.pptx

Lesson5datacollection

  • 1. Lesson 5: Data Collection Friday, 6 April 2012
  • 2. Lesson 4: Reconstructing Memories EXAM QUESTION Taken from 2011 Mid Year Exam Friday, 6 April 2012
  • 4. Lesson 5: Data Collection Objectives ~ Define descriptive statistics  ~ Define qualitative research ~ Define quantitative research ~ Distinguish between subject and objective data ~ Outline scales of measurement  ~ Describe the techniques of qualitative and quantitative data collection: case studies; observational studies; self- reports; questionnaires; interviews; brain imaging and recording technologies ~ Describe the different types of test reliability and validity Friday, 6 April 2012
  • 5. Types of Data Scales of Measurement Qualitative Quantitative Nominal Subjective Ordinal Objective Interval Ratio Data Collection Techniques Case Studies Quality Interview Validity Questionnaires Psychological Tests Technology Reliability Internal External Cross-Sectional Internal Longitudinal Content Inter-rater Parallel forms Criterion-related Test-retest Construct Generalisation Friday, 6 April 2012
  • 6. Types of Data Friday, 6 April 2012
  • 7. Qualitative: descriptions of characteristics Quantitative: refers to measurements Subjective: based on opinions Objective: based on identifiable external criterion Friday, 6 April 2012
  • 9. What type of data was collected?? Qualitative or Quantitative? Objective or Subjective? Friday, 6 April 2012
  • 11. Nominal: property with no quantitative value, e.g. hair colour Ordinal: definite sequence though inconsistent gaps, e.g. age of class Interval: scaled measure with constant values between each level *note no value of zero* Ratio: most precise, basically an interval scale but with zero meaning zero! Friday, 6 April 2012
  • 12. What scale are each of the following measured? Psych Study Score? temperature? eye colour? height of people in room? Friday, 6 April 2012
  • 14. Case Studies: detailed observations of an individual over a period of time Observation: Naturalistic - observing voluntary behaviours in natural environment Controlled - observing voluntary behaviours in structured environment Questionnaires: collecting written responses from participants Psychological Tests: personality or multiple choice Technology: Brain-imaging Cross-Sectional: participant data across different ages and groups compared Longitudinal: same participant over a long period of time Friday, 6 April 2012
  • 15. Provide an example of each Ask around room Friday, 6 April 2012
  • 17. Reliability Validity Internal - extent to which Internal - measures what it each aspect equally claims to measure contribute to final score - content (face): appears to be valid Inter-rater - same result - construct: applied to obtained regardless of theory administrator Test-retest - same External - can results be participant, same results generalised? second time -criterion related: support from other research Parallel form - pre - characteristics of experiment and post test enable generalisation Friday, 6 April 2012