Practical Research (Data Analysis)

Front 1

A process by which gathered information is broken down and ordered into categories.

Back 1

Data analysis

Front 2

Two data analysis techniques

Back 2

Descriptive and Inferential statistics

Front 3

4 ways to describe a set of data

Back 3

Frequency counts, percentage, measures of central tendency (mean, median, mode), measure of variability (range, variance, and SD)

Front 4

It's purpose is to answer/ test a hypothesis

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Inferential statistics

Front 5

Denial of the existence of a significant difference, effect or relationship

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Null hypothesis

Front 6

Affirmation of existence of a significant difference.

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Alternative hypothesis

Front 7

5 steps to testing your hypothesis

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State the null or alternative hypothesis, indicate the level of significance and type of test, determine the statistical technique to be used, identify the approach used in decision making: use of critical value or p-value approach, write the conclusion.

Front 8

The two qualitative data analysis techniques

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Thematic analysis

narrative analysis

Front 9

Measures the number of times an event occurs

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Frequency counts

Front 10

A part of a whole expressed in hundredths

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Percentage

Front 11

The average of the given set of data

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Mean

Front 12

The middle most value of an arranged set of data

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Median

Front 13

Value that appears more often

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mode

Front 14

Is the difference between the largest and smallest value in the data of a set

Back 14

range

Front 15

squared value of the standard deviation

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Variance

Front 16

Measures the dispersion of the set of data from its mean

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Standard deviation

Front 17

Determines whether the mean of two independent groups different significantly

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T-test of independent samples

Front 18

determine whether the three mean of two dependent groups different significantly

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T-test of dependent samples

Front 19

Measures the strength and direction of the linear relationship between two variables

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Pearson r

Front 20

Measures relationship between ordinal values

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Spearman rho

Front 21

If the p-value is less than of equal to the level of significance, then we...

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reject the null hypothesis

Front 22

If p-value>0.05 then...

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fail to reject the null the hypothesis

Front 23

if the tabulated value>critical value then...

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reject the null hypothesis

Front 24

if the tabulated value<critical value then..

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fail to reflect the null hypothesis

Front 25

the three natures of test

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test of difference, test of relationship, test of association

Front 26

The 6 parametric tests

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T-test, z-test, ANOVA, Pearson r, simple regression, and multiple regression

Front 27

the four non-parametric tests

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Fisher sign, McNemar test, spearman rho, Kendall (W)