validility (part 3)

Question 1

what is validility

Answer 1

are we measruing what supposed to and distinguish different var
(reliable no nessasrility mean valid but valid can refer to both)

Question 2

how many varability measures

Answer 2

8

Question 3

face

Answer 3

usually first
looks at items and decide if measure construct of interest

minimum type and subjective

Question 4

content

Answer 4

measures all different parts of construct

DIMENSIONS OF construct need to understood to measure this

Question 5

how to calc content

Answer 5

.49 or above= good content validility

Question 6

[

concurrent varibility

Answer 6

how well your scale measures established scale= goldent standard

give participants established scale and new scale same time

Question 7

calc concurrent

Answer 7

strong positive- good concurent val

Question 8

predictive validility-

Answer 8

scale predicts future behaviour
but not all scales designed this way

Question 9

calc predictive

Answer 9

high= predictive var
low- is of no consequence( not bad or good)

Question 10

construct val

Answer 10

theoretical understanding of construct measuring- may find new theroticall construct

(relates other methods of checking like content,face)

Question 11

known validility

Answer 11

well our scale measure two specific groups of individusals

if know scale can be different between 2 group= use measure known group val

Question 12

convergent val

Answer 12

how close do scores on scales match other scales of similar or same construct

look how scale compares to others and expect positive correlation between scores on our to score on other scale

Question 13

discriminant validility

Answer 13

scale produces different results measure oppositive construct

expect scales measure different contructnot high correlated

if no sig it would support us having high discriminant val