Chapter 4 Principles of Quantitative Research. Answering Questions Quantitative Research attempts...
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Transcript of Chapter 4 Principles of Quantitative Research. Answering Questions Quantitative Research attempts...
![Page 1: Chapter 4 Principles of Quantitative Research. Answering Questions Quantitative Research attempts to answer questions by ascribing importance (significance)](https://reader036.fdocuments.us/reader036/viewer/2022062300/56649dd25503460f94ac90f2/html5/thumbnails/1.jpg)
Chapter 4
Principles of Quantitative Research
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Answering Questions
Quantitative Research attempts to answer questions by
ascribing importance (significance) to numbers or sizes or reactions and results
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Scientific Theory
Self correcting: Prevailing wisdom requires constant re-evaluation when new evidence appears. Each discovery reveals a tiny piece of a giant puzzle.
Science never proves anything, it just continues to add puzzle pieces to the big picture.
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The Researcher
The researcher’s relationship with study participants can influence outcomes.
The researcher is always concerned with how various factors (including the nature of the relationship) affect study results.
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Infractions
Sloppy thinking Poor planning Careless documentation Tainting responses with
unacknowledged bias
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Pluralist Approach
Embrace qualitative and quantitative as best fits each particular situation
Acknowledge the value of more than one method of knowing what we need to know
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Pros of Quantitative Research?
Clear interpretations Make sense of and organize
perceptions Careful scrutiny (logical, sequential,
controlled) Reduce researcher bias Results may be understood by
individuals in other disciplines
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Cons of Quantitative Research?
Can not assist in understanding issues in which basic variables have not been identified or clarified
Only 1 or 2 questions can be studied at a time, rather than the whole of an event or experience
Complex issues (emotional response, personal values, etc.) can not always be reduced to numbers
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Scientific Attitudes
Empirical Verification through observation or experimentation
Ruling out simple explanations prior to adopting complex ones
Cause-Effect Probability of response Replication of response
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Six Types
Experimental Survey Meta-Analysis Quantitative Case Study Applied Behavior Analysis Longitudinal
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Experimental Research
Compare two or more groups that are similar except for one factor or variable
Statistical analysis of data Conditions are highly controlled;
variables are manipulated by the researcher
“The effects of” “The influence of…”
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Survey Research
Use set of predetermined questions Collect answers from representative
sample Answers are categorized and
analyzed so tendencies can be discerned
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Meta-Analysis
Numerous experimental studies with reported statistical analysis are compared
Distinguishes trends Effect size (the influence of the
independent variable on the dependent variable) can be compared
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Case Study
Also called single case design Describes numerically a specific
case (can be group or individual) May test or generate hypotheses Results often presented with tables
and graphs
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Applied Behavior Analysis (ABA)
One person Examine the individual’s responses
in different situations (conditions) across time
Results are usually depicted with tables and graphs
Conclusions based on data in these forms of presentation
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Longitudinal
Individual or group research conducted across time
Few examples in MT literature Subject attrition is major problem Preserving confidentiality is also
difficult Specific standardized tools may
change over time
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Hypothesis
Hypothesis = an idea that will be tested through systematic investigation
A researcher’s prediction of what outcomes will occur
More clearly stated in research of 10 years ago than now
Fits experimental research, also called “Hypothesis Testing”
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Independent Variable
The variable that is controlled or manipulated by the researcher
The variable that is thought to have some effect upon the dependent variable
The one difference between the treatment (experimental) and control groups
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Dependent Variable
That which is measured The outcome That which is influenced or affected
by the dependent variable
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Reliability
The ability of a measurement tool to yield consistent results over time or under similar conditions
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Content Validity
The extent to which the items on a testing tool (that being used to measure the dependent variable) reflect all of the facets being studied
All aspects are sampled (e.g. aural skills final exam)
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Criterion-Related Validity
Also called Predictive Validity
The extent to which a testing tool yields data that allow the researcher to make accurate predictions about the dependent variable
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Construct Validity
The extent to which the testing tool measures what it is supposed to measure
Relationship between the items on the tool and the dependent variable
Also relates to actual (physical) construction of a written tool (e.g. Dean’s Survey) and how this impacts the accuracy of the results
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Internal Validity
Relates to the internal aspects of a study and their effect on the outcome:
researcher planning and preparation
judgmentcontrol for potential confounding variables
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External Validity
Relates to the extent to which findings can generalize beyond the actual study participants
“How valid are these results for a different group of people, a different setting, or other conditions of testing, etc.?”
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Objective Evaluation
Rigorous Expository Time Consuming