Survey Methods: Writing, Questions, Sampling Techniques, and Sample Size Determination, Thesis of Law

An overview of various survey methods, including writing questions (open-ended, close-ended, rating scales, Likert scales, loaded questions, leading questions, double-barrelled questions, and response bias), arranging questions (presenting related questions in subsets, dealing with sensitive topics, asking about events in sequence, and preventing participant loss of interest), and sample techniques (probability sampling: random selection, stratified random sampling, and cluster sampling; non-probability sampling: convenience sampling and quota sampling). It also covers sample size determination for estimating population area and proportion.

Typology: Thesis

2020/2021

Uploaded on 09/13/2021

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SURVEY METHODS
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SURVEY METHODS

Conducting the

Survey

1. Writing the questions: a) Open-ended questions b) Close-ended questions c) Partially open-ended questions d) Rating scale e) Likert rating scale f) Loaded question g) Leading question h) Double-barrelled question i) Response bias j) Demographic question

1. Mail Survey – a written survey that is self- administered.

Administering the Survey

2. Telephone Survey – a survey in which the questions are read to the correspondents over the telephone. 3. Personal Interview – a survey in which the questions is asked face-to-face

Sample Techniques

1. Probability Sampling – each member of the population has an equal likehood of being selected to be part of the sample. a. Random Selection – A method of generating a random sample in which each member of the population is equally likely to be chosen as part of the sample. b. Stratified Random Sampling – a sampling techinque designed to ensure that subgroups or strata are fairly represented. c. Cluster Sampling – a ssampling

Sample Size

Determination

  • (^) Is closely related to statistical estimation.
  1. Maximum allowable error
  2. Population standard deviation
  3. Degrees of freedom Sample for estimating the population area Sample size for estimating the population proportion