Methods Overview Ppoint

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Research Methods

Overview of quantitative and qualitative methods

Quantitative Methods

Survey methods

Experimentation

Social network analysis

Data visualization

Spatial analysis

Survey Methods

Survey design

Population and Sample

Instrumentation

Variables

Analysis and interpretation

Experimental design (or not)

Survey Design

Why surveys?

What’s the purpose?

Population and Sample

Identify your population

Identify your sampling design (single stage, cluster)

Identify your selection process (random, systematic, convenience)

Will you stratify?

Population and Sample - Example

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)

Instrumentation

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 - Example

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)

Variables

Associate with items on your survey

Identify independent, dependent

Analysis

Response / non-response bias

Descriptive analysis

Inferential questions and hypothesis testing

Data display

Experimental and Quasi-

Experimental Designs

Pages 172 – 173 in Creswell

Qualitative Methods

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 Data Collection

Observation

Interviews

Document review

Audio and video materials

Observations

Complete participant

Observer as participant

Participant as observer

Complete observer

Interviews

Face to face

Group

Single person

Phone / video / email

Document review

Public Private

Data Recording

Interview or observation protocol

Record “field notes”

Audio or video record interviews

Transcribe interviews

Data Analysis

Raw Data

Organize data

Read through data

Code data

Themes and Description

Interpretation

Validity and Reliability in Qualitative

Methods

Triangulation

Member checking

Thick, rich description

Clarify researcher perspective

Negative case

Prolonged time in the field

Peer debriefing

External audit

Mixed Methods

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