Sampling technique where existing study subjects

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sampling technique where existing study subjects recruit future subjects from among their acquaintances. Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal
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Stuvia.com - The study-notes marketplace Collecting Data: Data Integrity: data in part might have to be EDITED and CODED to be useful Editing: (editing during pre-test stage an be more valuable) 1. Checking for completeness, consistency and legibility: Age example – How long have you live in your current address 30 vs What is your age 28 2. Prepare data for coding 3. Field editing: On day of collection (Clarify responses, omissions, handwriting) 4. In house editing: Centralised editing after data collection 5. Incompleteness: Leave blank, Plug value – alternate, Plug value – random selection, Impute missing value Coding: 1. Assign a numerical score to edited data : If done on properly edited data it is easier 2. Coding open-ended questions are more difficult 3. Dummy code : Code a certain field a 0, other category is coded a 1 4. Code categories should be completely exhaustive : Missing data should/can be represented by a code 5. Error checking Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal
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Stuvia.com - The study-notes marketplace The Analyses: Hypothesis Testing: Population – the entire group of objects about which one wishes to draw an inference A population is the set of all measurements of interest to the experimenter. Population Parameters o Mean – m o Standard Deviation – s Sample – the group of objects from which one actually gathers data A sample is a subset of measurements selected from the population. Sample Statistics o Sample Mean – o Estimate for Standard Deviation – s An inference is a statement about a population parameter based on information contained in a sample. Two types of inference o Estimation: A poll has been devised to determine the public’s reaction to a new political scandal. The purpose is to estimate the reaction of all Americans by polling a representative sample. o Hypothesis testing : A vaccine for Lyme disease has been developed but the rate of negative side effects is 1.45%. A new vaccine has been developed and it is desired to know if the rate of negative side effects is lower than 1.45%. Hypotheses : Hypotheses are statements about population parameters , not statements about samples. The Null Hypothesis: Abbreviated as H 0 Usually H 0 is a statement of no effect or no difference. We reject or fail to reject H 0 based on statistical evidence. The Alternative Hypothesis: A statement about a population parameter that is suspected of being true, if H 0 rejected. Abbreviated as H a Types of tests: _ x Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal
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Stuvia.com - The study-notes marketplace Means Variances Proportions Basic Statistics: Descriptive Statistics : The analysis of data that helps describe, show or summarize data in a meaningful way (before Inferential Statistics)
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