Facilitator 1

Scales Measurement

100

Most basic level of Measurement, which categorized into distinct groups that have no inherent order or ranking.

Nominal Scales

200

The __________ between values are consistent and meaningful, allowing for the comparison of differences, but ratios are not meaningful because there is no absolute zero.

Interval Scales

300

These are the examples of a certain scales

Education level (high school, bachelor’s, master’s, PhD)

Customer satisfaction ratings (poor, fair, good, excellent)

Socio-economic status (low, middle, high)

Ordinal Scales

400

• The most precise scale and it features all the properties of the interval scale, plus an absolute zero point where the variable represents a complete absence of the quantity being measured. 

Ratio Scales

500

Scales of measurement are key in statistics and research for explaining how to measure and categorize different types of data.

Scales Measurement 

Measurement Scales in Psychology

100

Examples of this particular scales:

Likert scale responses

Stages of Development

Levels of social support

Ordinal Scales

200

In application in psychology, it is used to classify participants or variables into distinct groups without implying any ranking or quantitative differences.

Nominal Scales

300

According to its application in Psychology, It allows for the measurement of differences between variables but not ratios.

Interval Scales

400

It provides the highest level of measurement precision, allowing for comparisons of both differences and ratios.

Ratio Scales

500

True or false, these are some examples of ratio Scales:

 Reaction times

Number of Correct responses on a cognitive task, and

physiological measures like heart rate or blood pressure

False

Describing Data

100

MEAN, MEDIAN, MODE

"The average of all data points."

Mean

200

MEAN, MEDIAN, MODE

"The most frequently occurring value in a dataset."

Mode

300

MEAN, MEDIAN, MODE

"The middle value when data points are arranged in ascending order. Useful for skewed distributions."

Median

400

MEASURES OF DISPERSION

" The average of the squared differences from the mean. Indicates the spread of the data. Example is Variance reaction times."

Variance

500

MEASURES OF DISPERSION 

"The range within which the central 50% of data points fall, calculated as the difference between 75th percentile and the 25th percentile. Example is IQR of income data."

Interquartile Range

Describing Data

100

CHARTS AND GRAPHS

Used for displaying the proportions of a whole 

Pie Chart

200

CHARTS AND GRAPHS

Used to show trends over time. Example is changes in anxiety levels across several months.

Line Graph

300

FREQUENCY DISTRIBUTION

Summarize how often each value or range of values occurs in the dataset.

Frequency Table

400

PERCENTILES AND QUARTILES

It values below which a given percentage of observations fall.

Percentile

500

Summarizing characteristics of the sample such as age, gender, educational level

Ex: Demographic breakdown of survey participants

Describing Demographic Information