WEEK 8

Question 1

___________ refers to the CONSISTENCY of a measurement tool. A RELIABLE tool gives the same results under consistent conditions.

Answer 1

RELIABILITY

Question 2

Consistency OVER TIME

Answer 2

Test-Retest Reliability

Question 3

Consistency across DIFFERENT OBSERVERS

Answer 3

Inter-Rater Reliability

Question 4

Consistency of results across items WITHIN THE TEST

Answer 4

INTERNAL CONSISTENCY

Question 5

Reliability coefficients normally range in value from _____

Answer 5

0.00 to 1.00

Question 6

The higher value the more RELIABLE

Question 7

Coefficients of 0.80 or higher are considered

Answer 7

DESIRABLE

Question 8

_________Refers to how well a test MEASURES WHAT IT IS INTENDED TO MEASURE
A valid tool gives accurate results.

Answer 8

VALIDITY

Question 9

Refers to whether a measurement appears to measure what it is supposed to measuure, based on A QUICK JUDGEMENT . It is about the test’s APPEARANCE rather than RIGOROUS TESTING.

Answer 9

FACE VALIDITY

Question 10

Face Validity usually done through ________

Answer 10

EXPERT REVIEW

Question 11

Refers to whether a measurement covers all RELEVANT ASPECTS OF THE CONCET BEING MEASURED . It is about ensuring that the test FULLY REPRESENTS THE CONSTRUCT.

Answer 11

CONTENT VALIDITY

Question 12

Content Validity method _____

Answer 12

SUBJECT MATTER EXPERTS

Question 13

Examines whether a test accurately measures the THEORETICAL CONCEPT it claims to measure. Its established through EVIDENCE and THEORETICAL Reasoning.

Answer 13

CONSTRUCT VALIDITY

Question 14

Method for CONTRUCT VALIDITY

Answer 14

STATISTICAL ANALYSIS

Question 15

Examples:

A scale designed to measure stress should show that high scores reflect actual stress levels and correlate with other stress-related outcomes.

Answer 15

Construct validity

Question 16

A nursing competency exam has CONTENT VALIDITY if it includes questions that cover all areas oof nursing practice, not just a few.

Answer 16

Content validity

Question 17

A survey on anxiety may have FACE VALIDITY if it looks like it effectively covers anxiety-related questions , even if it hasn’t undergone deeper statistical validation.

Answer 17

FACE VALIDITY

Question 18

ASSIGNING OF NUMBERS to represent the AMOUNT of an attribute present in an object or person using specified set of rules.

Answer 18

MEASUREMENT

Question 19

LEVELS OF MEASUREMENT:

Answer 19

1. NOMINAL
2. ORDINAL
3. INTERVAL
4. RATIO

Question 20

• The LOWEST MEASUREMENT category.
• used when the data CAN BE ORGANIZED into CATEGORIES but the categories CANNOT BE RANKED / ORDERED.

Answer 20

NOMINAL

Question 21

Example;
Medical diagnosis, gender , age group , place of residence

Answer 21

NOMINAL

Question 22

• Variables are categorized in a SPECIFIC ORDER OR RANK , but the intervals between the ranks are not necessarily equal.
  IT allows COMPARISONS such as GREATER THAN or LESS THSN bt not HOW MUCH MORE

Answer 22

ORDINAL

Question 23

Examples;
Pain Scale: Rating pain from 0 - 10 , where 0 means no pain and 10 is the worst possible pain

Answer 23

ORDINAL

Question 24

The intervals between VALUES are meaningful and CONSISTENT
- No true zero
Examples : Temperature in celsius /fahrenheit: The difference between degrees is consistent , but 0 degrees doesn’t mean “no temperature”
- Calendar Years: The difference between years ( 2000-2020 ) is meaningful , but theres no ‘’year 0 ‘’ that signifies tE START OF time

Answer 24

INTERVAL

Question 25

- intervals between values are CONSISTET - THERE IS A TRUE ZERO POINT , MEANING ZERO REPRESENT THE ABSENCE OF THE QUANITITY (0 Kg means no weight )

Answer 25

RATIO

Question 26

Examples : Weight; 0 kg means no weight , and 10 kg is twice as heavy as 5 kg Height: 0 cm means no height , an 180 cm is twice as tall as 90cm Time : 0 seconds means no time has passed, and 60 seconds is double the duration of 30 seconds.

Answer 26

Ratio

Question 27

NOMINAL - Can be organized by categories but CANNOT ranked or order. ORDINAL - Can categorized in a specific order or ranked. INTERVAL - no true zero RATIO - There is TRUE ZERO POINT ( height , weight , and time )