The phrase "a statement score" is correct and usable in written English.
It can be used in contexts where you are referring to a score or rating that reflects the quality or accuracy of a statement, such as in assessments or evaluations.
Example: "The report included a statement score that indicated the reliability of the information provided."
Alternatives: "a statement rating" or "a statement evaluation".
After the benching in Seattle, he started Thursday's game as if making a statement, scoring 15 points in the first two minutes.
When a statement scored in at least three categories, it was included in the CG-Questionnaire.
Each question was phrased as a statement, scored by means of a 5-point Likert scale: 'Strongly disagree' to 'Strongly agree'.
A statement scored neutrally can indicate cautious agreement, and these participants' comments support this: "I was brought up to be self sufficient and not run for help, I know that I should know better, but it's ingrained" (P27) "I do worry about this [wasting the rheumatology team's time], even though I shouldn't.
Responses that were either "agree" or "don't know" to any statement scored 1, and responses that were "disagree" to any statement scored 2. The total possible score was 28 and all those who scored 21or more were considered as having a non-accepting attitude, and all those who scored less than 21were considered as having an accepting attitude (Table 1).
When a statement's score on two factors exceeds this difference score, it is called a distinguishing statement.
The difference score is the magnitude of difference between a statement's score on any two factors that is required for it to be statistically significant.
A distinguishing statement for a factor is a statement whose score on that factor is significantly different from its score on any other factor.
A distinguishing statement for a factor is a statement whose score on that factor is statistically significantly different from its score on any other factor [ 16].
The weighted average statement score is then normalized (with a mean of 0.00 and SD = 1.00) to remove the effect of differences in number of defining respondents per factor thereby making the statements' factor scores comparable across factors.
