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Mircoteaching:

Data Collection

Alexandra Mutti, Ty Kovacs & Rochelle Carty-Bauman

ASL Story

Quantitative Measurement Topics

Quantitative Measurement

Topics

A researcher needs to decide:

a) measurement instrument that is available or developed from other researcher

b) adapt in existing instrument

c) create a new one

Data Collection and Technology

Data Collection and Technology

can improve with the assessments by using:

  • computer-scoring
  • scan of students' written works
  • speech recognition software
  • computer games
  • virtual worlds knowledge

Performance and Portfolio Assessment

Performance=

Portfolio=

  • to collect the information by the systematic observation to decide based on an individual
  • multiple types of assessments
  • teacher assessment & research data

Performance and Portfolio Assessment

Issues to Considered:

  • content= inclusion?
  • quality of work?
  • select the work?
  • how much information?
  • how reliability & validity?

Portfolio

  • written assignments
  • video tapes
  • solution to math problems
  • purposeful
  • meaningful collection

Testing and Technology

the advantage of using computers:

  • clear
  • easy
  • flexibility

3 tablespoons olive oil

2 cups chopped onion (1 medium)

1 ½ cups chopped carrot (3 to 4 carrots)

1 ½ cups chopped celery (2 to 3 stalks)

2 tablespoons tomato paste

4 teaspoons minced garlic (4 cloves)

Testing and Technology

3 tablespoons olive oil

2 cups chopped onion (1 medium)

1 ½ cups chopped carrot (3 to 4 carrots)

1 ½ cups chopped celery (2 to 3 stalks)

2 tablespoons tomato paste

4 teaspoons minced garlic (4 cloves)

the disadvantage of using computers:

  • not proficient in English
  • not allow to skip or review

Secondary Data Resources

Secondary Data Resources

The information can be found at:

  • admin records
  • previous research studies
  • databases
  • digital footprint

but...

  • can be limited reports
  • not specific research

6 Steps:

Developing a

Data

Collection

Instrument

Step 1: Define the Objective of Your Instrument

(Motivation/Benefit)

Step 2: Identify the Intended Respondents and Make Format Decisions

(Measurement)

Step 3: Review Existing Measures

(Reliability/ Validity)

Step 4: Develop an Item Pool

(Adopted/ Adapted)

Step 5: Prepare and Pilot Test the Prototype

(Ask the people with knowledge)

Step 6: Conduct an Item Analysis and Revise the Measure

(Good Logistics Ready)

Qualitative Data

Collection Methods

Interviews

Questionnaires, surveys, checklists

Document or artifact review

Observation

Qualitative Data

Collection

Methods

Case Studies

Focus Group

Postpositivist Paradigm

Seeks out objective answers by

attempting to recognize, and work with specific biases

reliability

validity

objectivity

Constructivist Paradigm

Standards for Judging Quality of Data Collection

Constructivism does not believe that objective knowledge exists.

confirmability

credibility

transferability

Transformative Paradigm

Raises questions that focus on biases based on issues of power. This could have a potential impact on the collection of the data. Focuses on minority groups.

avoidance of biases use of technology

acknowledgement of biases larger data collection

Reference

Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA

(editors). Cochrane Handbook Systematic Reviews of Interventions version 6.2 (updated February 2021). Cochrane, 2021. www.training.cochrane.org/handbook.

Mertens, D.M. (2020). Research and evaluation in education and psychology

(5th Edition). Sage: Thousand Oaks, CA.

Reference

Activity

Handouts

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