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confirm or test theory
QUANTITATIVE
understand or explore idea
QUALITATIVE
mixed methods
COMBINED
- measures variables and describes relationships between them
DESCRIPTIVE AND CORRELATIOANAL
- test cause and effect relationships
EXPERIMENTAL AND QUASI EXPERIMENTAL
focuses on systematically measuring variables
DESCIPTIVE
test variables related to each other
CORRELATIONAL
strongest way to test cause and effect rs
-difficult and expensive to implement
EXPERIMENTAL DESIGN
qualitative design is all about
- rich understanding
- specific contexts
- creativity and flexibility
case studies
ethnography
QUALITATIVE DESIGN
aims to understand a event by describing participants lived experiences
PHENOMENOLOGICAL
examines how stories are told
NARRATIVE
a more systematic approach using quali
GROUNDED THEORY
Clearly defined purpose/objective
Identify the nature of the study
RESEARCH DESIGN
Explain the setting
RESEARCH ENVIRONMENT
Explain the sampling method
RESEARCH PARTICIPANTS
Explain how the data collected will be analyzed
DATA ANALYSIS
one important part of the research design
refer to the data collection and analysis
that the researcher will use
METHODOLOGY
each member of the population has an exactly equal chance of being selected.
SIMPLE RANDOM SAMPLING
but instead of randomly generating numbers, individuals are chosen at regular intervals
10th
SYSTEMATIC SAMPLING
involves dividing the population into subpopulations that may differ in important ways
-you divide the population into subgroups (called strata) based on the relevant characteristic
STRATIFIED SAMPLING
also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample
CLUSTER SAMPLING
4 PROBABILITY SAMPLING
SIMPLE RANDOM
SYSTEMATIC
STRATIFIED
CLUSTER
Allows research to have better control over the composition of the sample.
QOUTA SAMPLING
Researchers have better control over who gets selected in the sample compared to convenience sampling.
PURPOSIVE SAMPLING
Best sampling technique when the target population is not known.
SNOWBALL SAMPLING
used if the researcher wants to find cases that are different from the dominant pattern
EXTREME CASE SAMPLING
NON PROBABILITY SAMPLING
QOUTA
PURPOSIVE
SNOWBALL
EXTREME
helps you establish causality
INTERNAL VALIDITY
helps you generalize your results
EXTERNAL VALIDITY
a number that describes how much the relationship between variables
TEST STATISTIC
estimates how likely it is that you would see the difference
P VALUE
variance within each group being compared is similar among all groups
HOMOGENEITY OF VARIANCE
Represent amounts of things
QUANTITATIVE VARIABLES
Represent groupings of things
CATEGORICAL VARIABLES
can usually be divided into units smaller than one
CONTINOUS
can't be divided into units smaller than one
DESCRETE
represent data with an order
represent group names
represent data with a yes/no
ORDINAL
NOMINAL
BINARY
-cause-and-effect relationships
-differences among group means
-check whether variables are related without hypothesizing a cause-and-effect relationship
- REGRESSION TEST
-COMPARISON TESTS
- CORRELATION TEST
is a broad term for various research methods used to describe, interpret and understand texts.
TEXTUAL ANALYSIS
ideas and patterns of meaning that come up repeatedly.
-trying to find out something about people's views, opinions, knowledge, experiences or values
THEMATIC
6 STEPS
1. FAMILIARIZATION
2. CODING
3. GENERATING THEMES
6 STEPS 2ND
4. REVIEWING THEMES
5. DEFINING AND NAMING NAMES
6. WRITING UP
- GET TO KNOW OUR DATA
- CODE THE DATA
- IDENTIFY PATTERNS
- FAMILIARIZATION
- CODING
- GENERATING THEMES
-make sure that our themes are useful and accurate representations of the data.
-involves formulating exactly what we mean by each theme
-we'll write up our analysis of the data
-REVIEWING THEMES
- DEFINING AND NAMING THEMES
- WRITING UP
is a research method for studying written or spoken language
understand how language is used in real life situations
DISCOURSE