Quantitative data analysis Flashcards

1
Q

What is the product of data analysis?

A

KNOWLEDGE

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2
Q

What are descriptive statistics?

A

details used to describe and summarize sample data

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3
Q

what are inferential statistics?

A

combines mathematical processes and logic to test hypotheses about a population with the help of sample data

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4
Q

What does the ALPHA level refer to?

A

it refers to the level of significance of the findings. the probability of making a type 1 error, usually accepted if the level is 0.05

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5
Q

What does an alpha of 0.05 mean?

A

if the study was done 100 times, the decision to reject the null hypothesis would be wrong 5 times out of those 100 trials

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6
Q

What are the 4 levels of data?

A

nominal
ordinal
interval
ratio

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7
Q

Give an example of nominal level of measurement

A

simply used to classify characteristics into categories.
Gender
Marital status
Yes or no
Simply placing people into yes or no categories

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8
Q

What is ordinal measurement?

A

permits the sorting of objects on the basis of their standing on a attribute relative to each other

  • *A score is better or worse, but how much better or worse is not known
  • *Likert type scale
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9
Q

Give an example of interval measurement

A

events are ranked on a scale with equal intervals between the numbers but zero is not absolute. For example, 0 on a temperature scale doesnt represent the absence of temperature
EX: Score on intelligence test, temperature
Will be decreased by the reliability of the measuring tools

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10
Q

What is the difference between parametric and non parametric statistics?

A

LOOK THIS UP

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11
Q

What is the difference between descriptive statistics and inferential statistics? Give an example of each.

A

D: meant to reduce data to manageable proportions by summarizing and organizing them to visually represent the relationship between variables EX: measures of central tendancy (mean, mode, median

I: combine mathematical processes to test the hypotheses about a population with the help of sample data. They are able to infer conclusions that extend beyond the immediate data of the study EX: chi-squared, t-test)

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12
Q

What kinds of studies demand the use of both inferential and descriptive statistics?

A

correlational
comparative
experimental
quasi-experimental

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13
Q

What kinds of studies use only descriptive statistics?

A

exploratory descriptive designs (case study)

**Sometimes correlational

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14
Q

What determines the level of data in a study?

A

the responses yielded from the instrument used

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15
Q

What is the difference between a dichotomous variable and a nominal variable?

A

D: has only 2 true values ie true/false, yes/no, male/female
N:have more than 2 true values but are still mutually exclusive ie single, marrie, divorced, separated or widowed

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16
Q

What is ratio measurement? how is this different from interval?

A

ratio measurement means that variables are ranked on scales with equal intervals and absolute zeros. This means the number represents the actual amount of the property the object possesses ie zero actually means zero. EX height, weight, pulse, blood pressure.
Interval means things are ranked with equal intervals but the zero point remains arbitrary, not absolute.

17
Q

The choice of which statistical test to use is a function of which 3 things?

A
  1. research design
  2. Level of data
  3. sampling procedure
18
Q

What is a confidence interval?

A

an estimated range of values within which the sample findings fall. Most commonly reported in research is a 95% CI, meaning that 95% of the time, the findings will fall within the range of values given

19
Q

What do you expect the difference to be between the Results section and the discussion section of a research paper?

A

Results: presents the raw data and analysis

Discussion: interprets the results and findings