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Summary Grade: 9.6!! 2.5 Psychometrics: DETAILED notes Lectures and Readings FSWP2-052-A CA$20.68   Add to cart
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  5. Psychometrics: An Introduction (FSWP2052A)

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Summary Grade: 9.6!! 2.5 Psychometrics: DETAILED notes Lectures and Readings FSWP2-052-A

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  • Course
  • Psychometrics: An Introduction (FSWP2052A)
  • Institution
  • Erasmus Universiteit Rotterdam (EUR)
  • Book
  • Psychometrics

Very detailed notes on any topic covered in lectures and readings. Including many examples and images for further understanding. Received grade 9.6. (average was 5.6)

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  • Yes
  • October 5, 2023
  • 39
  • 2022/2023
  • Summary

Subjects

  • psychometrics
  • introduction
  • lectures
  • readings
  • fswp2 052 a
  • summary
  • 25

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  • Erasmus Universiteit Rotterdam (EUR)
  • Psychologie
  • Psychometrics: An Introduction (FSWP2052A)
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Content preview

Le c t u re ( H 1.2 +
3:



psychological testis a systematic
A
procedure for comparing the t wo or more ppl.
behavior of


·behavioral sample (all kinds of behaviorl

collected in systematic way Istandardized conditions)
·




purpose is to delectdifferences btw ppl+cumparing behavior
·




psychometrics is the science concerned with evaluating attributes ofpsych. Tests:


Tupe ofinformation
·




·Reliability
validity
·




Challengesto m e a s u re m e n t :




final resultm ay notbe entirely real




someppare un aware ofthe meaning or implication oftheir results
↳can give distorted results

, Learning goals:Studentcan turn reactions to items into item scores andtest
scores.

n a t u re ofwa r ;a bility:

2 KINDS OF
VARIABILITY:

.

interindividual differences differences between people
-




·


intraindividual differences:differences emerging in one person over timesunder diff. Circumstances

va r i a b i l i t y and distribution of s c o re s




variantedistance from the mean




size ofvariance depends on:



degree to which scores in the distribution differ
·




the metric ofthe in the distribution (cmvs. M) scale ofthe variable
·




scores
+




Factor to consider when interpreting variance:

number is always greater than 0 (no such thing as
negative variance!)
·




no simple small/large interpretation possible
·




context/comparison is needed to interprett h e size
·




mainly importantfor its effects or other values (e.g.:correlation, reliability)
variance always assumes we are dealing with a normal
distribution!




When you go up on variable x,

does variable Y also 90 up?




notdependenton the scale oft he
variables
Standardized!
1 bc ofstandardization

,va r ia n c e - c ova r i a n c e ma rix
+




used to display all relationships
between variables




COMPOSITE SCORES

score thati s made up ofother scores
·




·e.9.:my total score on a questionnaire thatmeasures ADHD is the sum ofmy response to the

questions. We KNOW tHAADHD has two components linattention and hyperactivity / impulsivity)
score:{"
= 4;
composite
·




3 1 4
+


=




variance -




covariance Matrix

1.291 0.400 2
+
+

= 0.400 2.491
=




covariance:0.400

variance, natt.:1.291;Hyperact: 400 I ADHD 2.491
=




calculating variance:

4 adding up all the variances ofall the items on a questionnaire,
also add twice the covariance ofthe items

, Interpreting test s c o re s :




transformation
-




converted standard scores:
4 converting scores with one scale to

Other Scores
1. calculate z-scores

4 I
z*
sDnertmearnew=

4 When dealing with normal

distribution!


calculating percentiles:
·Normal distribution:
iuse z-scores to calculate/10okup p-value




Otherwise:
use frequency table formula!
+




(Fx -



5fx)x100
Px
= .




N




0.5 *10
A




continuity

72% ofppi scored a 4
or lower
currection
a

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