Week 7 - Quant Research Design & Descriptive Stats Part 2 Flashcards
define descriptive statistics
- Describe and synthesize data
- Summarize sample characteristics
- Describe key research variables
- Document methodologic features (response rate)
define inferential statistics
- Make inferences about a population
- Answer the research questions
what are the four levels of measurement
- nominal
- ordinal
- interval
- ratio
what is nominal
Mutually exclusive categories/groups. Assigning numbers to classify characteristics into categories (categorical); Ex: gender, blood type, marital status
what are the two subcategories of nominal
- equivalence/non-equivalence
- mutually exclusive/collectively exhaustive
what is equivalence/non-equivalence in terms of nominal
It only provides info about equivalence and nonequivalence.
Ex: male = 1, female = 2; So jenny is equivalent to 2 (female) but not equivalent to male
what is mutually exclusive/collectively exhaustive in terms of nominal
each person must be classifiable into one and only one category.
Ex: 1 = married, 2 = divorced, 3 = widowed. The requirement for collective exhaustiveness would not be met if there were people in a sample who had never been married
which two levels of measurement are categorical
nominal & ordinal
what is ordinal
Ranked groups; Sorting people based on their relative ranking on an attribute. Ordered according to some criterion. Captures equivalence but also relative rank; Ordered/Relative ranking
They do not however tell us anything about how much greater on elevel is than another; The differences between the rankings are unknown
what is an example of ordinal
Ex: 1 = completely independent; 2 = needs another person’s assistance; 3 = completely independent; Signifies incremental ability to perform ADLs; People coded 4 are equivalent to each other with regard to functional ability and relative to those in other categories, have more of that attribute
what is interval
Equal numerical distance between points on the scale; Expands analytic possibilities (i.e. data can be averaged meaningfully)
what is an example of interval
temperature
what is ratio
Interval level data which has a true zero (absence of a factor); Highest measurement level; Provides info about ordering on the critical attribute, the intervals between objects, and the absolute magnitude of the attribute because they have a rational meaningful zero
what is an example of ratio
Ex: weight (has an absolute 0)
what two level of measurements are continuous
interval & ratio
when looking at mode, counts and frequency, which level of measurement could you use
nominal, ordinal, interval or ratio
when looking at median, minimum, maximum, range, which level of measurement could you use
ordinal, interval or ratio
when looking at mean, variance, standard deviation, which level of measurement could you use
interval or ratio