Exam 1 Research Methods
Chapter 1
Why is it important to conduct research
Describe the scope of the problem /policy responses to the problem
define experiential and agreement reality
Exper – things we know first-hand, agree – things we are told
characteristics of human inquiry
everyday personal inquiry – importance of prediction in everyday life; causal and probabilistic reasoning
different types of errors in human inquiry
Inaccurate observations, over generalization, selective observation, illogical reasoning, ideology/politics
basics of social science inquiry
Conscious decisions regarding how & what to observe, careful abt mistakes, not exempt from errror
different purposes of research
Exploration, explanation, description, application
Identify the purpose of research in different types of studies
Exploration – don’t know something abt a topic, description – describe scope of a problem, explanation – understand why things occur, application – need for specific facts & findings w direct policy implications
different stages of research
Idea > conceptualization > research method > operationalization > sampling > observations > analysis > application
best practices when reading scholarly research
Read abstract, evaluate relevance, go to conclusion, skim through, read, skim again
Chapter 3
what are the two pillars
Logic & observation
the three aspects of scientific enterprise
theory, data collection, data analysis
what is a theory
Systematic explanation for observed facts & laws that relate to particular aspect of life
how are theories built
idea > theoretical understanding > hypothesis
different steps of research that go from an idea to a test of hypothesis
idea/interest, theoretical understanding, hypothesis, operationalization, hypothesis testing
Understand that scientific research is about
regularities and Social regularities represent probabilistic patterns: general patterns are not 100%
science is about uncovering
social regularities in a probabilistic manner and focused on aggregates as opposed to individuals
science deals with relationships among _____
variables
difference between variables and attributes
Variables: logical groupings of attributes; attributes: characteristics/qualities
role of variables, attributes, and their relationships for evaluation and explanatory research
Theories describe relationships among variables and involves the notion of causation
the difference between an independent and a dependent variable
dependent variable depends on independent variable
Identify the three distinctions that underlie variations in research
Idiographic & nomothetic explanation, inductive & deductive reasoning, qualitative & quantitative data
difference between nomothetic and idiographic explanations
Idio – attempts to explain single situation, nomo – explain class of situations and settles for partial explanation
difference between deductive and inductive reasoning
ded – examine matter logically (starts w hypothesis) induc – begin with observations
Understand the differences between qualitative and quantitative data
Qualitative: characteristics Quantitative: numerical
- and the advantages and disadvantages of each
quantitative: more superficial, qual: provides more detail and greater richness of meaning
Have an idea of the importance of causation and the different criteria used for establishing causality
1 cause must precede effect, 2. 2 variables must be empirically correlated, 3. Observed correlation cannot be explained by another variable
how does scientific realism bridge nomothetic and idiographic explanations
it explains how causal mechanisms operate in specific contexts
units of analysis
what you are studying in order to answer a research question
individual
person defined by their role
group
many individuals being studied as one
social organization
formal groups w leaders and rules
social artifact
products of social behaviors and interactions
ecological fallacy
drawing conclusions from one unit based on a different type of unit
time dimensions (2)
longitudinal (over time) and cross sectional (single part in time)
different types of longitudinal designs
prospective (in the future) retrospective (in the past)
Chapter 4
role of conceptualization in research
it is the process by which we specify what we mean when we use particular terms
relationship between concepts, dimensions, and indicators
dimensions are the specifiable aspects of a concept, and indicators denote the presence or absence of the concept
conceptual definition
working definition specifically assigned to a term
operational definitions
spells out how the concept will be measured
different steps of conceptualization
conceptualization > conceptual definition > operational definition > measurements in real world
definition of operationalization
the process of developing operational definitions
definition of measurement
assigning numbers or labels to units of analysis in order to represent the conceptual properties
different properties of measurement
exhaustive and mutually exclusive attributes
different levels of measurement
nominal, ordinal, interval, and ratio
nominal measures
names and labels
ordinal measurers
attributes that can be logically ranked
interval measures
distance separating attributes has meaning
ratio measures
attributes based on true zero point
different ways to assess measurement quality
reliability and validity
validity
are you measuring what you say you’re measuring
reliability
does it repeatedly produce the same product
ways to assess validity
face validity, criterion-related validity and construct validity
face validity
makes logical sense
criterion based validity
matches comparable variables tests
construct validity
logical relationships among variables
ways to assess reliability
test-retest method
