Research Methods Overview of quantitative and qualitative methods.

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    18-Dec-2015

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  • Slide 1
  • Research Methods Overview of quantitative and qualitative methods
  • Slide 2
  • Survey methods Experimentation Social network analysis Data visualization Spatial analysis Quantitative Methods
  • Slide 3
  • Survey design Population and Sample Instrumentation Variables Analysis and interpretation Experimental design (or not) Survey Methods
  • Slide 4
  • Why surveys? Whats the purpose? Survey Design
  • Slide 5
  • Identify your population Identify your sampling design (single stage, cluster) Identify your selection process (random, systematic, convenience) Will you stratify? Population and Sample
  • Slide 6
  • Identify your population (MOSS K12 students) Identify your sampling design (single stage, cluster) (Cluster draw from schools) Identify your selection process (random, systematic, convenience) (systematic) Will you stratify?(Yes 3 rd and 4 th grade, 5 th and 6 th, 7 th and 8 th graders) Population and Sample - Example
  • Slide 7
  • Name the instrument you will use (your own design? Modified from another? In tact from another?) Describe its validity and reliability Cover letter Pilot testing Procedures for administering the survey Instrumentation
  • Slide 8
  • Name the instrument you will use (DeWaters and Powers energy literacy assessment, 4H science process skills inventory, our own science identity scale) Describe its validity and reliability Cover letter Pilot testing Procedures for administering the survey (given when students arrive and after their inquiry presentations on Friday) Instrumentation - Example
  • Slide 9
  • Associate with items on your survey Identify independent, dependent Variables
  • Slide 10
  • Response / non-response bias Descriptive analysis Inferential questions and hypothesis testing Data display Analysis
  • Slide 11
  • Pages 172 173 in Creswell Experimental and Quasi- Experimental Designs
  • Slide 12
  • Characteristics of qualitative Naturalistic setting Researcher as instrument Multiple sources of data Inductive and deductive analysis Participants meanings Emergent design Holistic account Reflexivity (reflection) Qualitative Methods
  • Slide 13
  • Observation Interviews Document review Audio and video materials Qualitative Data Collection
  • Slide 14
  • Complete participant Observer as participant Complete observer Participant as observer Observations
  • Slide 15
  • Single person Phone / video / email Group Face to face Interviews
  • Slide 16
  • PublicPrivate Document review
  • Slide 17
  • Interview or observation protocol Record field notes Audio or video record interviews Transcribe interviews Data Recording
  • Slide 18
  • Interpretation Themes and Description Code data Read through data Organize data Raw Data Data Analysis
  • Slide 19
  • Triangulation Member checking Thick, rich description Clarify researcher perspective Negative case Prolonged time in the field Peer debriefing External audit Validity and Reliability in Qualitative Methods
  • Slide 20
  • Mixed Methods

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