advancing technologies that allow the study of the brain via imaging (e.g., functional magnetic resonance imaging)

and measurement of electrical activity (e.g., event-related potentials); and gene sequencing.

Interplay between Theory and Analysis Strategy

The theoretical orientation of many researchers governs the approach they take to data analysis

considering your analysis strategy as you develop your research question can prevent

confusion and frustration when you run your analyses

The use of advanced statistical techniques to search large data sets for meaningful patterns.

if we insisted that researchers stick only to their original agendas and theories,

they could never make serendipitous discoveries

Large, publicly available data sets provide particularly fertile sources for

data exploration that may yield interesting findings in the absence of a particular driving theory

in social and natural science there is a “crud factor” such that

“everything correlates to some extent with everything else”

Data do not exist outside of the theory that defines them—

even if that theory is unacknowledged or implicit

give the most weight to information that supports your theory, discounting data going against your theoretical bias.

avoid a minimalist approach—often referred to as “incremental" research—that merely extends

the age range of participant populations used in past research or examines a novel participant population

novice researchers often attempt to measure too many things,

which leads to complex designs and often uninterpretable results

Answering one research question always leads to others, and for

most researchers this becomes a lifelong process.

When deciding on your first research topic,

make sure it is a doable project

Be prepared to make mistakes and learn from them—

your second research project will be better than your first.

Do a thorough reading of the literature—

you should become an expert on the topic.

Look for key sections of a research article rather than

reading the entire article from start to finish

Just as important in coming up with a research question is recognizing the central role that theory plays in all research and

understanding how it can help you in the next step: choosing a design.

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psy400ch4p78-87 nterplay between Theory and Analysis Strategy

Term	Definition
the availability or discovery of new methodologies can also	motivate shifts in theory
advancing technologies that allow the study of the brain via imaging (e.g., functional magnetic resonance imaging)	and measurement of electrical activity (e.g., event-related potentials); and gene sequencing.
Interplay between Theory and Analysis Strategy	The theoretical orientation of many researchers governs the approach they take to data analysis
considering your analysis strategy as you develop your research question can prevent	confusion and frustration when you run your analyses
Data mining	The use of advanced statistical techniques to search large data sets for meaningful patterns.
if we insisted that researchers stick only to their original agendas and theories,	they could never make serendipitous discoveries
Large, publicly available data sets provide particularly fertile sources for	data exploration that may yield interesting findings in the absence of a particular driving theory
in social and natural science there is a “crud factor” such that	“everything correlates to some extent with everything else”
Data do not exist outside of the theory that defines them—	even if that theory is unacknowledged or implicit
Theory Can Lead to the Problem	of Confirmation Bias
Confirmation bias	give the most weight to information that supports your theory, discounting data going against your theoretical bias.
avoid a minimalist approach—often referred to as “incremental" research—that merely extends	the age range of participant populations used in past research or examines a novel participant population
novice researchers often attempt to measure too many things,	which leads to complex designs and often uninterpretable results
Answering one research question always leads to others, and for	most researchers this becomes a lifelong process.
When deciding on your first research topic,	make sure it is a doable project
Be prepared to make mistakes and learn from them—	your second research project will be better than your first.
Do a thorough reading of the literature—	you should become an expert on the topic.
Look for key sections of a research article rather than	reading the entire article from start to finish
Just as important in coming up with a research question is recognizing the central role that theory plays in all research and	understanding how it can help you in the next step: choosing a design.

Created by: james22222222

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