A Type I error occurs when you wrongfully accept the experimental null( experimental, null ) hypothesis and reject the null experimental( null, experimental ) hypothesis.
A Type II error occurs when you wrongfully accept the null experimental( null, experimental ) hypothesis and reject the experimental null( experimental, null ) hypothesis.
A Type I error is an error of optimism. pessimism.( optimism., pessimism. )
A Type II error is an error of pessimism. optimism.( pessimism., optimism. )

This question is about types of reliability.
Producing the same results each time the test/study is carried out? External Internal Observer( External, Internal, Observer )
This is concerned with consistency within a test? Internal External Observer( Internal, External, Observer ) reliability.
When 2 or more observers produce the same record of observations? Observer External Internal( Observer, External, Internal ) reliability.

This question is about assessing reliability.
This compares a person's performance on two halves of a test. It tests internal reliability. Split half method Inter rater reliability Test retest method( Split half method, Inter rater reliability, Test retest method ).
This is where a test is repeated several times using the same participants. This tests external reliability. Test retest method Inter rater reliability Split half method( Test retest method, Inter rater reliability, Split half method ).
This is where observations of two or more observers are compared for similarity. This tests observer reliability. Inter rater reliability Split half method Test retest method( Inter rater reliability, Split half method, Test retest method )

This question is on improving reliability.
Standardised procedures Take multiple measurements Train observers very carefully( Standardised procedures, Take multiple measurements, Train observers very carefully )- having extremely specific set of unchanging instructions.
Take multiple measurements Standardised procedures Train observers very carefully( Take multiple measurements, Standardised procedures, Train observers very carefully )- Take more than one, reducing the impact of anomalous results
Train observers very carefully Take multiple measurements Standardised procedures( Train observers very carefully, Take multiple measurements, Standardised procedures )- Reduces error and subjectivity.