Psychology Data Types

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9 Terms

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Objective Quantitative Data

measured numerically, it is factual and able to be confirmed as accurate by multiple sources, it is not based on opinion

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advantages of Objective Quantitative Data

free from subjectivity and bias, allows researchers to draw conclusions quite easily

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disadvantages of Objective Quantitative Data

not able to understand in-depth reasoning for elaboration behind participant responses

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Subjective Quantitative Data

measured numerically, but are feelings or thoughts provided by the subject themselves

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advantages of Subjective Quantitative Data

numerically, participants can provide greater insight into their own personal beliefs, feelings and ideas

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disadvantages of Subjective Quantitative Data

observations are subject to observer bias, difficult to compare with other data, subject to bias and interpretation

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Qualitative Data

always subjective (given by the subject), but is not numerical (usually in form of words/qualities)

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advantages of Qualitative Data

participants can provide greater insight into their own personal beliefs, feelings, ideas (in form of words/qualitites)

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disadvantages of Qualitative Data

time consuming to analyse for trends, cannot be directly verified, therefore lowering validity