Echelle de Likert

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Examples of Likert Scaled Responses Used in Data-Gathering: A variety of methods are available to assist evaluators in gathering data. One of those methods involves the use of a scale. One of the most common scale types is a Likert scale. A Likert scale is commonly used to measure attitudes, knowledge, perceptions, values, and behavioral changes. A Likert-type scale involves a series of statements that respondents may choose from in order to rate their responses to evaluative questions (Vogt, 1999).

Too little / OK as is / Too much Ineffective / Uncertain / Effective Not useful / Some impact / Useful Will not do it / Undecided / Will do it Definitely / not Undecided / Definitely will Not essential / Makes no difference / Imperative No / Maybe / Yes Not at all / Very little / Some Very hard / Hard / Neither hard nor easy Yes / Somewhat / No None Slight / Considerable / Great Poor Fair Good Very good Not important Somewhat important Important Very important None A little Quite a bit Completely Not aware Somewhat aware Usually aware Very much aware Not knowledgeable about Somewhat knowledgeable about Knowledgeable about Very knowledgeable about Strongly disagree Disagree No opinion or uncertain Agree Strongly agree Very poor Poor Average Good Excellent No value Limited value Average value Much value Extreme value Very poorly Poorly Adequately Well Very well Not valuable Limited value Average value Valuable Very valuable Very much below average Below average Average Above average Very much above average Inferior Not good Acceptable Good Superior Very inferior Inferior Average Superior Very superior Would not try Poorly Acceptably Well Very well Very unhappy Unhappy Can take it or leave it Satisfied Highly satisfied Very poor Poor Fair Good Very good Not competent Somewhat competent Uncertain Competent Highly competent False More false than true In between More true than false True Hardly ever Occasionally Sometimes Frequently Almost always Much less than most Less than most Above average More than most Much more than most Poor Fair No opinion Good Excellent Very bad Bad Average Good Very good Very ineffective Ineffective Average Effective Very effective Very slow Slow Average Fast Very fast Poor Unremarkable Meets expectations Better than expected Outstanding Excellent Very good Satisfactory Very poor Unacceptable Decrease greatly Decrease slightly Stay the same Increase slightly Increase greatly Very low Low Moderate High Very high Little importance 1 2 3 4 Great importance 5 Extremely dull Very dull Fairly dull So-so Fairly interesting Very interesting Not at all Very little Fairly well Quite well Very well Perfectly Exceptionally unfavorable Unfavorable Somewhat unfavorable Somewhat favorable Favorable Exceptionally favorable Excellent Very good Good Satisfactory Poor Very poor Unacceptable Vogt, W. Paul (1999). Dictionary of statistics and methodology. Sage: Thousand Oaks, California.


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