Term
| Qualitative Sampling Methods |
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Definition
Comprehensive-everyone in the category
Theoretical-choosing people until saturation
Snowball/Chain/Network
Maximum Variation-seeking those who think differently
Homogeneous
Typical Case
Extreme or deviant-those who had the most negative or positve experiences
Critical Case-intense or irregular cases(Brandon Teena)
Criterion- meet the criteria
Convenience |
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Bar graphs-used for discrete variables like sex, religion
Histograms-continuous variables-bars touch
Frequency polygon (like stock market)
Stem and leaf plots (histograms turned on side)
Box and whisker plots
Curves
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Naturalistic
Info rich
Inductive
Research questions, not hypotheses guide study
Purposive sampling
Looking to describe experience, phenomena, and generate theory |
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| Types of interview questions |
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Definition
Knowledge
Behavior or experience
Opinion or value
Feeling
Sensory (5 senses)
Background/demographic questions
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| right skew, lots of low scores |
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| Purpose: To describe, analyze and interpret a cultural groups patterns of behavior, beliefs and language.Group can center around ethnicity, geogrphy, religion or shared experiences. Immersion and prologed engagement. |
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skewed left, lots of high scores
mean<median<mode |
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| Reports of original research that include intro, method, results and discussion |
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unstructured-can resemble a casual conversation
semi-structured-prepared questions that may change
structured-all questions planned. each participant asked same questions, often in same sequence |
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Random assignment
manipulation
control |
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| an in-depth exploration of a bounded system(activity, event, process or individual) based on extensive data collection |
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| Purpose: To determine the meaning, structure or essence of a particular phenomemon.In depth interviews.Experience. |
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| Purpose: to generate theory based on data collected. Inductive process using categorization |
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Correlational
Regression
Ex post facto |
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| designated by Pearson R, on a scale of -1 to +1. Positive number indicates a positive correlation. |
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| Analysis of varianace. Used to answer the question "is there a difference among group means.Used in designs with a singleindependant variable and a single dependant variable.Better than multiple t-tests. |
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| Analysis of covariance. Combines ANOVA and regression.Used when ANOVA is thought to be too biased. |
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| When the null should have been accepted but was rejected (NAZI) |
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| When the null hypothesis should have been rejected but was kept |
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Nondirectinal:Predicts a difference will occur
Directional: Predicts a difference will occur and whch and direction
Null hypothesis
Alternative hypothesis |
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Composed of consistency, applicabilty and neutrality.
Specifically
•credibility-believeability, assurance that conclusions make sense. Use prolonged engagement and triangulation
•transferability
•dependability-involves the consistency of the results over time and across researchers
•confirmability
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