wk5-6__sampling

wk5-6__sampling - Assi gnment 4 FI N AL PROPOSAL D i scussi...

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Assignment 2 CONCEPTUALI ZATI ON HYPOTHESES Relationships Between Variables I Vs & DVs Assignment 1 RESEARCH QUESTI ON (target population & a problem/issue) Assignment 4 FI NAL PROPOSAL Discussion on study limitation & implications for policy/practice .. Assignment 3 DESI GN (iv) ANALYSI S PLAN (iii) DATA COLLECTI ON DESI GN: (ii) Operationalization & Measurement Of variables (I Vs, DVs) LI TERATURE REVI EW Provide conceptual map Theory (explanatory) No theory (exploratory) Assignment 3 (i) Sampling

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I llness H ome Care H ome Care Settings Long-term Care/End-of- Life/H ospice Day hospital/Day care H ome/community-based I nstitutional (4 to 5%) Understand our C lients Leadership & training T eams S ystem: Policy, program design, financing, operation, evaluations
Sampling A sample : is a special subset of a population that is observed for purposes of making inferences about the nature of the total population itself . Probability vs. Non-Probability Sampling A probability sample : a sample selected in accord with probability theory, typically involving some random selection procedure. Each sampling unit will have equal chance of being selected. A non-probability sample - involves non-random sampling approaches Clearly, in SW, often a random approach is not feasible eg: homeless population

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Non-probability sampling procedures 4 types of non-probability/non-random samples 1) Convenience sample : Reliance on available subjects – psychology class as subjects of a research, opinion poll on the street. 2) Purposive : selecting your sample for a special purpose . Based on your own knowledge of the population – or when you wish to study a small subset of a larger population in which many members of the subset are easily identified. Sample unit has to meet certain pre-determined inclusion criteria. (Older patients 65+ in the hospital, preteens in middle schools)
Non-probability sampling procedures 3) Quota sample : create a matrix that describes the target population’s characteristics: for example, what proportion of the population is male/ female, and for each sex, what proportions fall into various age categories, ethnic groups (eg. High school teens: whites 70%; Blacks 15%; Hispanics 10%; Asians 5%). Once you create the matrix and assign a relative proportion to each cell in the matrix, you collect data from people who have all the characteristics of the given cell (inclusion criteria) – weight each cell proportionally to the total population – the goal is to simulate a reasonable representation of the total population. Quota frame must be accurate – this is difficult to ascertain Biases can still exist in the selection of samples

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Non-probability sampling procedures 4) Snowball sample: used often in qualitative field research especially appropriate when members of a special population are difficult to locate.
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This note was uploaded on 02/06/2011 for the course SOC 101 taught by Professor Mui during the Spring '11 term at Columbia College.

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wk5-6__sampling - Assi gnment 4 FI N AL PROPOSAL D i scussi...

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