MCQ #2 Scientific Research

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21 Terms

1
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Steps of the scientific method

  1. Make an observation

  2. Formulate hypo

  3. Background research

  4. Design/conduct study

  5. Analyze the data

  6. Conclusions

  7. Communication

A process used by most scientist to test ideas about the world using specific steps

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Science involves…

… it must combine logic w/ research + experimentation

It also must involve common sense + observation

3
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Types of research

Qualitative: narrative descriptions, content analysis, interviews/focus groups

Quantitative: manipulations/measures, random assignment, control groups

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Features of Empirical Reseach

  1. Empirical questions: they can be answered by collecting data on given phenomenon

  2. Operational definitions: the specific procedures for manipulating/measuring a conceptual variable

  3. Converging operations: understanding increases as studies w/ different operational definitions “converge” on same result

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Hypothesis

Formed based on empirical questions

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Theories

Formed after hypothesis are made + tested

7
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Pseudoscience + Science

Pseudoscience: refers to claims presented as scientific but lack several qualities of science

  • advances no true knowledge

  • Disregards facts that contradict their claims

  • Offers vague or incomplete explanations

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Validity

Measures what it’s intended to measure

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Content validity

The extent to which a measure represents ALL aspects of a construct (anxiety example)

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Criterion validity

Whether a test/measure can successfully predict future behavior (SAT predicting GPA example)

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Convergent validity

Whether 2 or more measures that should be related ARE related

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Discriminant validity

Whether 2 or more measures that theoretically should not be related ARE NOT related

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Internal Validity

Whether or not we can be confident that changes in the IV will cause changes in the DV

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External validity

Extent to which the results would also be found in other ppl, in other contexts, cultures, etc.. (generalizability)

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Statistical Validity

Extent to which conclusions can be drawn from statistical tests are accurate/reliable

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Type I Error

Rejecting the null when its true

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Type II Error

Failing to reject the null when its false

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importance of replication

Science has no value w/out replication

  • the repetition of a study to confirm (or disconfirm) the results

  • Checks to see if results are only by chance

  • Science is cumulative: current knowledge builds on past knowledge

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