A researcher seeks theoretical understanding and general principles without an immediate practical application. This is:
Pure research seeks theoretical understanding.
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Pure research seeks theoretical understanding.
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Applied research solves practical problems.
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Evaluation research assesses programs.
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Action research involves practitioner investigation and immediate action.
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Action research aims at immediate real-life action.
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Stratified uses random selection; quota does not.
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Purposive sampling is suited for detailed qualitative knowledge.
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Non-probability sampling has higher bias risk.
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Disproportionate means sample sizes differ from population proportions.
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Cluster sampling selects whole groups.
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Clusters should represent the population.
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Convenience sampling uses easy-to-access participants.
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Purposive sampling selects based on purpose.
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Snowball sampling uses participant referrals.
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Quota sampling fills non-random categories.
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Stratified sampling selects from subgroups.
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Stratification ensures subgroup representation.
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Proportionate sampling reflects population proportions.
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Disproportionate stratification does not match population proportions.
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Sampling allows inference about a population.
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Probability sampling uses random selection.
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Simple random sampling gives equal chance to all.
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Systematic sampling selects at regular intervals.
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Causal hypotheses propose cause and effect.
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Associative hypotheses state relationships; causal hypotheses state cause-effect.
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