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Statistics Notes UNIT 1

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PSYC1010 Unit 1: Introduction to Quantitative Research

What is Research?
Research
 “The systematic investigation into and study of materials and sources in order to establish
facts and reach new conclusions”
 Obtaining information
 Uncovering the truth
o Through numerical values
Clinical Research
 Clinical conditions
 Improving methods of practice
 Knowledge Translation (KT)
o Synthesis, dissemination, exchange and ethically sound application of knowledge

The Research Trinity
 1. Design
o Establishes the “integrity” of the research
o Internal and external validity
 2. Measurement
o Determining “constructs”, operational definitions
o Reliability of measurements
 “Good friend”, you can count on them
 If it’s reliable, it’s not always valid
o Validity
 Quality
 Is it measuring what we want it to measure
 If it’s valid, it is reliable
 3. Analysis
o Establishes conclusion validity
o Evaluates hypotheses
 Research
 An educated guess based on your own knowledge
 Not worried about numbers
 Statistical
 Evaluating the research hypothesis
 With numbers

Is Research Important?
 Putting numbers = agreements
 Research papers = valid
o “Retracted”
 Researchers making up numbers – fake

Research Design and Statistics
What is “statistics”?

,  “Statistical procedures”
 Formulas, calculations, equations, etc., to analyze the results of research studies, or other
information of interest
Empirical Approach
 Information is obtained via observation and measurement
 Produces data (scores)
Why Do I Have to Take “Statistics”?
 Understanding information
 Accuracy and validity
 Separates fact from fiction

Wonderful World of Statistics
 Hammer
o Engineer
 How to make it better?
o Metallurgist
 What other materials can be used?
o Carpenter
 Uses it
o Mathematician
 Is the equation truthful?
 Generate rigorous proof
o Computer Engineer
 How can I build this equation into a code?
o Practitioner
 Uses it

Relationship Between A Population and A Sample




 Is the sample going to be generalized to the pop.?
o ASK BEFORE, not after the test

Inferential Statistics
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