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Scientific Research
The Controlled, objective, systematic search for knowledge
has the goal of eliminating the error and effects of extraneous variables
Variable
A characteristic that varies from one person/phenomena to another
Quantitative Variables
Discrete (finite/infinite)
something that can be described with a number (# of cars, GPA)
Qualitative
Continuous (has intervals)
Can be described using words
Purposes of Research
To be…
Descriptive - describe what something is
Predictive - predict a phenomena that will occur in the future
Improve - study the effectiveness of interventions
Explain - explain causality of phenomenon
Research Design
Specification of the Problem
Literature review (conceptualize, theoretical grounds)
Hypothesis/research questions
Operationalize
Defining ways to measure variables
Data Collection method
Sampling
Data Analysis
Report the Result
Quantitative Study
Descriptive and inferential statistics
Generalization is the goal
Qualitative Study
Exploratory and use of words
in-depth studies
development of themes (major concepts)
Population
A total set of objects that you study
Parameters - characteristics of this
Sample
A subset of the population
Statistics - characteristics of these
Quantitative Data Analysis
Concerned with numbers
statistics = quantitative data analysis
There are two types…
Descriptive and Inferential
Deductive Approach
Hypothesis testing (quantitative)
Topic → theory → hypothesis → data collection → hypothesis testing
Inductive Approach
Theory development (qualitative)
Topic → data collection → data analysis → empirical generalization/explanation
Null
No relationship at all, concepts operate independently of each other
ice cream sales and shark attacks
Covariance
Concepts vary together, but one is not the cause and the other the effect, can be negative or positive
salary and price of milk
Causal
Concepts co-vary (are related) and changes in one concept precede changes in the other
diet and weight gain
Measurement
is the assignment of numbers to objects, messages, or events according to certain rules
Assigned numbers are observations
Nominal Measurement
Includes the least information
Numbers or symbols used to simply classify an object or event
There is assumed equivalence with categories
Blue eyes, brown eyes, green eyes, grey eyes
Type of medium (TV, newspaper, radio)
Ordinal Measurement
Involves rank-ordering objects on some dimensions
there is no assumption that there are equal intervals between scale points
Interval Measurement
Rank ordering and the intervals are equal
This scale includes an arbitrary zero point, meaning zero does not indicate an absence
Ratio Measurement
All characteristics of interval scale, but has a true zero point (zero means absence)
length/height. # of something. Kelvin Temperature (0 = no heat at all)
if you can say that one object possesses X times as much of a property as another, it is this
Implications levels of measurement
Analysis requires minimum levels of measurement
some variables can be treated as multiple levels of measurement as well
Measurement Reliability
measuring something in a consistent and stable manner
Test-retest method - researcher administers the measuring instrument to the same group of people at 2 different times and calculated correlations to get a reliability estimate
Making the same measurement more than once
Measurement Validity
How well researchers are measuring what they intend to measure
Content - measuring instrument covers all attributes of the concept you are trying to measure, nothing is left out
Construct - when findings of measurement are meaningful in more than a descriptive sense
Face - investigator’s subjective evaluation of the appropriateness of the instrument for measuring the concept rather than whether the instrument measures what the researcher wants to measure
Sampling - whether a given population is adequately sampled by the measuring instrument in question