Nursing research DQ # 8

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Week8Research.ppt

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Chapter 16

Descriptive Statistics

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Question

Tell whether the following statement is true or false:

Nominal measurement is the ranking of objects based on their relative standing on an attribute.

Copyright © 2017 Wolters Kluwer Health | Lippincott Williams & Wilkins

Answer

False

Nominal measurement: the classification of characteristics into mutually exclusive categories

Ordinal measurement: the ranking of objects based on their relative standing on an attribute

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Measurement

  • Nominal measurement: the classification of characteristics into mutually exclusive categories
  • Ordinal measurement: the ranking of objects based on their relative standing on an attribute
  • Interval measurement: indicating not only the ranking of objects but the amount of distance between them
  • Ratio measurement: distinguished from interval measurement by having a rational zero point

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Descriptive Statistics

  • Summarize quantitative data
  • Describe quantitative data

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Question

Tell whether the following statement is true or false:

Frequency distributions impose order on raw data. Numeric values are ordered from lowest to highest, accompanied by a count of the number of times each value was obtained.

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Answer

True

Frequency distributions impose order on raw data. Numeric values are ordered from lowest to highest, accompanied by a count of the number (or percentage) of times each value was obtained.

Copyright © 2017 Wolters Kluwer Health | Lippincott Williams & Wilkins

Frequency Distributions

  • Impose order on raw data
  • Numeric values are ordered from lowest to highest, accompanied by a count of the number (or percentage) of times each value was obtained.
  • Common methods of display
  • Histograms
  • Frequency polygons

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Distribution

  • Symmetric: two halves are mirror images of each other
  • Skewed: asymmetric with one tail longer than the other
  • Positively skewed
  • Negatively skewed
  • Modality: number of peaks
  • Unimodal
  • Multimodal
  • Normal distribution

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Question

What is the median?

Average or typical value of a set of scores

Value that occurs most frequently in a distribution

Point above which and below which 50% of the cases fall

Arithmetic average of all scores

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Answer

C

Central tendency are indexes, expressed as a single number, that represent the average or typical value of a set of scores. The mode is the value that occurs most frequently in a distribution, the median is the point above which and below which 50% of the cases fall, and the mean is the arithmetic average of all scores.

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Central Tendency

  • Central tendency are indexes, expressed as a single number, that represent the average or typical value of a set of scores.
  • Mode: value that occurs most frequently in a distribution
  • Median: point above which and below which 50% of the cases fall
  • Mean: arithmetic average of all scores

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Question

Tell whether the following statement is true or false:

Range is the distance between the highest and lowest scores.

Copyright © 2017 Wolters Kluwer Health | Lippincott Williams & Wilkins

Answer

True

Range is the distance between the highest and lowest scores.

Copyright © 2017 Wolters Kluwer Health | Lippincott Williams & Wilkins

Variability

  • Variability: how spread out the data are
  • Range: distance between the highest and lowest scores
  • Standard deviation: indicates how much, on average, scores deviate from the mean
  • Calculation
  • Deviation scores represent the degree to which each person’s score deviates from the mean. The variance is equal to the SD squared.

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Bivariate Descriptive Statistics

  • Relationships between two variables
  • Contingency table two-dimensional frequency distribution in which the frequencies of two nominal- or ordinal-level variables are crosstabulated
  • Correlation coefficients describe the direction and magnitude of a relationship between two variables.
  • Product–moment correlation coefficient (Pearson’s r)—interval or ratio
  • Spearman’s rho coefficient—ordinal
  • Scatter plot

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Risk Indexes

  • Absolute risk reduction: expresses the estimated proportion of people who would be spared from an adverse outcome through exposure to an intervention
  • Relative risk: estimated proportion of the original risk of an adverse outcome that persists among people exposed to an intervention
  • Relative risk reduction: estimated proportion of untreated risk that is reduced through exposure to the intervention

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Risk Indexes

  • Odds ratio: ratio of the odds for the treated versus untreated group
  • Number needed to treat: estimate of how many people would need to receive the intervention to prevent one adverse outcome