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To Know From Huff (1954) Ch’s. 1 & 4 What is… – Population- Significance – Sample- Statistical error – Sampling error- Probably error – Sample bias- Standard.

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Presentation on theme: "To Know From Huff (1954) Ch’s. 1 & 4 What is… – Population- Significance – Sample- Statistical error – Sampling error- Probably error – Sample bias- Standard."— Presentation transcript:

1 To Know From Huff (1954) Ch’s. 1 & 4 What is… – Population- Significance – Sample- Statistical error – Sampling error- Probably error – Sample bias- Standard error – Probability sampling- Reliability – Nonprobability sampling

2 Validity – Content – Face Validity – Construct – – External – Predictive

3 Reliability Test-Retest/Scale Internal (to the study) Intercoder/Observer Intracoder

4 Conceptual Distinctions Morse et al. (2011) QUALITATIVE Validity – (Within) Verificat., replicat., logic Reliability – Member check, interrater descript Generalizability – Transfer concepts & theory to other, similar situat/prob Significance – Import of concepts Relationship – Assoc. b/w categories or people Evidence – Logic, common sense, co-occurrence Counting terms – “few” “most” “some” Sample – (collaborative) “Participants/volunteers” QUANTITATIVE Validity – (Outside) Stat types Reliability – Interrater stats Generalizability – Rely on rndm sampling to ensure pop. similarities Significance – Stats Relationship – Stats correlat. b/w variables Evidence – Stat proof of outcomes Counting terms – #s Sample – “subjects”

5 Errors – Sampling “Sampling error” – Constant error –

6 Errors - Measurement Type I – Type II –

7 RMP validity activity (Nelson & Fife, 2013)


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