MCOM 295 -- MASS COMM RESEARCH METHODS -- FALL '05
BABBIE CHAPTER-BY-CHAPTER TERMS
TO KNOW, DEFINE OR EXPLAIN:
CHAPTER 1: CHAPTER
2:
Agreement reality Concepts
Attributes Hypothesis
Causal reasoning Intersubjectivity
Empirism Law
Epistemology Objectivity
Ex
post facto hypothesizing Operationalization
Independent variable Proposition
Methodology Reality
Probabilistic reasoning Subjectivity
Theory Variable
CHAPTER 3: CHAPTER
4:
Determinism Characteristics
False dilemma Cohort
studies
Idiographic model of explanation Cross-sectional
studies
Interchangeability of indexes Ecological
fallacy
Necessary cause Longitudinal
studies
Nomothetic model of explanation Panel
studies
Questionable cause Reductionism
Sufficient cause Social
artifacts
Suppressed evidence Triangulation
Traditional deductive model Units
of analysis
CHAPTER 5: CHAPTER
6:
Construct validity Closed-ended
questions
Criterion-related validity Composite
measure
Face validity Double-barreled
question
Indicators Interval
measures
Nominal definition Matrix
questions
Operational definition Mutually
exclusive
Reliability Nominal
measures
Split-half method Open-ended
questions
Test-retest method Ordinal
measures
Validity Ratio
measures
CHAPTER 8: CHAPTER
9:
Confidence interval Compensatory
rivalry
Confidence level Hawthorne
effect
EPSEM sampling Instrumentation
Heterogeneity Internal
validity
Parameter Maturation
Periodicity Placebo
Standard error Pre-experimental
designs
Statistic Solomon
four-group design
Stratified sampling Statistical
regression
CHAPTER 10: CHAPTER
11:
Data archive Deviant
case sample
Interview Field dilemma
Probe Introspection
Response rate Norms
Return rate graph Observer-as-participant
Secondary analysis Purposive
sampling
Self-administered questionnaire Qualitative
research
Specifications Quota
sampling
Survey Snowball
sampling
Telephone poll Universals
CHAPTER 12: CHAPTER
15:
Coding Bivariate
analysis
Content analysis Continuous
variable
Corroboration Dispersion
Ecological fallacy Frequency
distribution
Hermeneutics Marginals
Historical/comparative analysis Median
Latent content Range
Manifest content Standard
deviation
Unobtrusive measures Subgroup
comparisons
Verstehen Univariate
analysis
CHAPTER 16: CHAPTER
17:
Control variable Chi
square
Distorter variable Correlation
matrix
Elaboration model Degrees
of freedom
Explanation Expected
frequencies
Interpretation Explained
variation
Intervening variable Extrapolation
Partial relationships Null
hypothesis
Replication PearsonŐs
r
Specification Regression
line
Spurious relationship Tests
of significance