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# Quantitative Research

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## LaVon Dresen

on 3 February 2014

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#### Transcript of Quantitative Research

Quantitative Research
What is quantitative research?
Quantitative research
is used to explain an occurrence of something. It is collecting numerical data and using statistics to explain the occurrence.

Ways that data is collected:
Teacher-made tests (most common) - can be very directed by the teacher
Standardized tests- allows administrators, public and government officials to see student achievement
Report cards-easy to obtain and usually include a letter grade and comments
Attitude scales- see how the students feel
Likert scales- agreement with questions
Semantic Differential- rating a subject
(Mills, 2011)
Samples of quantitative research
Example 1
:
The following is an example of quantitative research comparing in class one to one special education in the regular classroom and one to one mass instruction in the special education room. http://bern.library.nenu.edu.cn/upload/soft/Article/30.1jameson%5B1%5D.pdf

Benefits and Challenges
Strengths:
provides precise numerical data.
data analysis is less time consuming due to statistical software
useful when studying large groups of people.
Weaknesses:
More costly compared to qualitative
does not provide in depth information.
research methods can be inflexible because instruments cannot be changed once study begins.
How do you collect data?
Data collection starts with smart questions.
1. Questions should avoid psychological cues and researcher interpretations
2. Questions should consider how a positive or negative response would be interpreted.

Popular data collection methods:
1. Surveys: good for large groups of people, are standardized
2. In depth interview: collects rich data, but is time consuming
3. Focus group: gathers data based on a social context or event sequence
4. Observation: effective with behavior and social interaction
5. Standardized tests: measures data against a set of standards
How do you analyze the data?
Data analysis starts with a plan for what to do with the data.
Popular data analysis strategies:
1. Use a data base like Access for large amounts of data.
2. Label and code data as it is completed
3. Different forms of data may need a variety of analysis techniques:
a. Organize categorical variables
d. Chart ordinal data

References
Leman, J. (2010). Practical research and evaluation: A start to finish guide for practitioners. London: Sage
Publication, Ltd.

Mills, G. (2011). Action research the guide for the teacher researcher. (4 ed.). Boston: Pearson.

(n.d.). An overview of quantitative and qualitative data collection methods. Retrieved from www.nsf.gov.

Sage, P. (2010, August 25). Introduction to quantitative reserach. Retrieved from http://www.sagepub.com/upm-data/36869_muijs.pdf
Participants
Serena Hicks
Shahna Paul
Karla L. Dresen
References
(n.d.). An overview of quantitative and qualitative data collection methods. Retrieved from www.nsf.gov.

Leman, J. (2010). Practical research and evaluation: A start to finish guide for practitioners. London: Sage
Publication, Ltd.
Example 2:
This article is a good example of quantitative research because is uses only quantitative, empirical methods of assessing learner outcomes. Data collected was standardized based on a timed response, which is specific, quantitative data.

“Hypermedia as an Educational Technology: A Review of the Quantitative Research Literature on Learner Comprehension, Control, and Style” by Andrew Dillon and Ralph Gabbard; http://rer.sagepub.com/content/68/3/322.short

Example 3:
Johnson, Daniel, "A Quantitative Study of Teacher Perceptions of Professional
Learning Communities Context, Process and Content", ( 2011).
http://scholarship.shu.edu/dissertations
This study utilized a survey design that followed a Likert scale as well as a Standards Inventory Assessment . The study took quantitative data from educators in ten New Jersey schools. The idea behind using this type of data gathering tools insured content validity as well as providing psychometric properties.
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