11) Ch11: Data Analysis Flashcards

1
Q

Descriptive Stats

A

Used to summarize patterns/characteristics in the data to describe the distribution of data points

  • Include sum, mean, mode, standard deviation, and frequency of nominal variables
  • Typically performed on all measured/recorded variables in a study
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2
Q

Correlative Statistics

A

Used to calculate how variables are similar or relate to each other/ Strength of relationships btwn variables

  • Includes Pearson Product Moment Correlation Coefficient, ICC, Spearman Rank Correlation Coefficient
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3
Q

Pearson Product Moment Correlation Coefficient

A

Used to determine if the scores of 2 variables vary together

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4
Q

ICC

A

Used to determine if the scores of 2 variables vary together and how closely those scores are matched

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5
Q

Spearman Rank Correlation Coefficient

A

Used to determine if the scores of 2 variables of ordinal data vary together

  • Same as Pearson except used w/ordinal data
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6
Q

Comparative Stats

A

Used to compare 2+ sample groups on 1+ measured attributes; Describe how variables are different; Determine whether 2+ groups of data are different and suggest cause-and-effect relationships between an intervention and an outcome

  • Includes t-tests, ANOVA, ANCOVA, MANOVA (Parametric), Mann-Whitney U Test, and Wilcoxen Signed-Ranks Test(Nonparametric)
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7
Q

Independent T-Test

A

Compares the means of 2 groups in which there aren’t any repeated measures

  • Assumes a normal distribution of the sample and random selection & assignment
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8
Q

Paired T-Test

A

Compares the means of 2 repeated measures from the same sample group or from matched pairs of subjects

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9
Q

ANOVA

A

Compares the means of 3+ groups on a single measure or 3+ repeated measures on the same group

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10
Q

ANCOVA

A

Compares the means of 2+ groups on 2 measures or repeated measures on 2+ groups

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11
Q

MANOVA

A

Compares 3+ independent variables

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12
Q

Mann-Whitney U Test

A

Compares the rank order of scores from 2 groups on an independent variable

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13
Q

Wilcoxen Rank Sum Test

A

Compares the rank order of scores from 2 groups on an independent variable w/sample sizes <30 subjects

  • Same as Mann-Whitney but used for sample sizes <30 subjects
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14
Q

Kruskal-Wallis ANOVA

A

Compares rank or ordinal data from 3+ groups

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15
Q

Clinical Significance

A

Differences in the measured variable that result in useful changes

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16
Q

Statistical Significance

A

Occurs when the data analysis results in a number that exceeds level of chance

17
Q

Sampling Bias

A

Imbalance of characteristics in a group of pt’s studied so the group is not a true representation of the typical defined subject

18
Q

Procedure Variability

A

Range of methods used by clinicians to perform the same task or to achieve the same endpoint

  • In clinical practice, interventions are not done exactly the same for each pt bc you have to adjust based on pt-specific factors
19
Q

Measurement Bias

A

Imbalance in the data resulting from the choice of a measurement tool, from inherent errors associated w/the application or recording of the measure, from limits of tool construction, and variations in documentation on the measure

  • Approach to tx’ing acute LBP → Exam processes from one clinic may yield a broad array of tests and measures whereas another clinic may yield a smaller different set based on their certifications
  • Neither way is necessarily better than the other but it might make comparison tougher → Need to interpret results, inputs, and processes w/the understanding that they might be unique and that causes limitations
20
Q

Historical Bias

A

Imbalance in the data resulting from an event that happens outside of the pt care interaction, which might influence some aspect of pt care or outcomes

21
Q

Experimental Bias

A

Imbalance of data that occurs when participants or investigators have expectations for outcomes bc they know who or what is being studied so their objectivity may be consciously or unconsciously be swayed

  • Can influence statistical interpretation bc when a certain outcome is anticipated, the investigator may only see that outcome and fail to recognize other outcomes of the data set
22
Q
A