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RESEARCH project
29問 • 1年前
  • Claire
  • 通報

    問題一覧

  • 1

    Means choosing from a large population the respondents or subject to answer your research questions. The ENTIRE population is INVOLVED but for your research study, you CHOOSE ONLY PART OF THE WHOLE

    Sampling

  • 2

    FACTORS affecting sample selection

    1. Sample size 2. Sampling Technique 3. Heterogeneity of population 4. Statistical Techniques 5. Time and Cost

  • 3

    How be should the sample be?

    Sample size

  • 4

    Probability sampling and non probability sampling

    Sampling techniques

  • 5

    Compose of individuals with varied abilities

    Heterogeneity of population

  • 6

    How precious or accurate your methods

    statistical techniques

  • 7

    Making the sampling frame

    Time and Cost

  • 8

    This is sampling methods that makes you base your selection of repondents on pure chance.

    Probability sampling

  • 9

    Different probability sampling techniques

    1. Simple random sampling 2. Systematic sampling 3. Stratefied sampling 4. Cluster sampling

  • 10

    Choosing respondents based on pure chance

    Simple random sampling

  • 11

    Picking our from the list every 5th or every 8th member listed in the sampling frame until the completion of the desired total number of respondents

    Systematic sampling

  • 12

    Choosing a sample that will later on be subdivided into strata, sub groups or sub samples during the stage of the date analysis

    Stratified sampling

  • 13

    Selecting respondents on cluster, rather than in seperate individuals such as choosing 3 classes of 40 students each from a whole population of 5,000 students

    cluster sampling

  • 14

    Sampling methods

    1. Probability sampling 2. Non probability sampling

  • 15

    The sampling techniques included in this category are NOT CHOSEN RANDOMLY but purposefully

    Non Probability sampling

  • 16

    Different Non Probability sampling

    1. Quota sampling 2. Voluntary sampling 3. Purposive sampling 4. Availability sampling 5. Snowball sampling

  • 17

    Choosing specific samples that you know correspond to the population in terms of one, two or more characteristics

    Quota Sampling

  • 18

    Selecting people who are very much WILLING to participate as Respondents in the research project

    Voluntary Sampling

  • 19

    Choosing respondents whom you have JUDGES as people with good background knowledge or with great enthusiasm about the research

    Purposive sampling

  • 20

    Picking out people who are EASY TO FIND or located and willing to establish contact with you

    Availability sampling

  • 21

    Selecting sampling from several alternative samples like drug dependant, human traffikers, street children and other wayward Not easily located People who are moving from place to place

    Snowball sampling

  • 22

    The most prefered sampling technique in qualitative or quantitative research is

    Random Sampling

  • 23

    Required the use of statistical method in measuring sample

    random sampling

  • 24

    3 Probability sampling technique

    1. simple random 2. stratified random 3. systematic random

  • 25

    ADVANTAGE: the most accurate theoretically and influence only by chance DISADVANTAGED: unavailable list if the entire population sometimes or oreventions of random sampling by practical consideration

    Random sampling

  • 26

    ADVANTAGE: Assures large sample to Subdivide on important variables, needed when population is too large to list Can be combined with other techniques DISADVANTAGED: Can be BIASED if strata are given false weights, unless the weighting procedure is used for overall analysis

    Stratified Sampling

  • 27

    ADVANTAGE: Similar to random sampling, often easier than random sampling DISADVANTAGED: Sometimes permit bias

    Systematic Sampling

  • 28

    ADVANTAGE: Easy to collect data on the subject DISADVANTAGED: Prone to bus when the numerous is small

    Cluster Sampling

  • 29

    ADVANTAGE: Available when random sampling is impossible quick to do DISADVANTAGED: presence of bias NOT CONTROLLED by the quota system

    Quota Sampling

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    問題一覧

  • 1

    Means choosing from a large population the respondents or subject to answer your research questions. The ENTIRE population is INVOLVED but for your research study, you CHOOSE ONLY PART OF THE WHOLE

    Sampling

  • 2

    FACTORS affecting sample selection

    1. Sample size 2. Sampling Technique 3. Heterogeneity of population 4. Statistical Techniques 5. Time and Cost

  • 3

    How be should the sample be?

    Sample size

  • 4

    Probability sampling and non probability sampling

    Sampling techniques

  • 5

    Compose of individuals with varied abilities

    Heterogeneity of population

  • 6

    How precious or accurate your methods

    statistical techniques

  • 7

    Making the sampling frame

    Time and Cost

  • 8

    This is sampling methods that makes you base your selection of repondents on pure chance.

    Probability sampling

  • 9

    Different probability sampling techniques

    1. Simple random sampling 2. Systematic sampling 3. Stratefied sampling 4. Cluster sampling

  • 10

    Choosing respondents based on pure chance

    Simple random sampling

  • 11

    Picking our from the list every 5th or every 8th member listed in the sampling frame until the completion of the desired total number of respondents

    Systematic sampling

  • 12

    Choosing a sample that will later on be subdivided into strata, sub groups or sub samples during the stage of the date analysis

    Stratified sampling

  • 13

    Selecting respondents on cluster, rather than in seperate individuals such as choosing 3 classes of 40 students each from a whole population of 5,000 students

    cluster sampling

  • 14

    Sampling methods

    1. Probability sampling 2. Non probability sampling

  • 15

    The sampling techniques included in this category are NOT CHOSEN RANDOMLY but purposefully

    Non Probability sampling

  • 16

    Different Non Probability sampling

    1. Quota sampling 2. Voluntary sampling 3. Purposive sampling 4. Availability sampling 5. Snowball sampling

  • 17

    Choosing specific samples that you know correspond to the population in terms of one, two or more characteristics

    Quota Sampling

  • 18

    Selecting people who are very much WILLING to participate as Respondents in the research project

    Voluntary Sampling

  • 19

    Choosing respondents whom you have JUDGES as people with good background knowledge or with great enthusiasm about the research

    Purposive sampling

  • 20

    Picking out people who are EASY TO FIND or located and willing to establish contact with you

    Availability sampling

  • 21

    Selecting sampling from several alternative samples like drug dependant, human traffikers, street children and other wayward Not easily located People who are moving from place to place

    Snowball sampling

  • 22

    The most prefered sampling technique in qualitative or quantitative research is

    Random Sampling

  • 23

    Required the use of statistical method in measuring sample

    random sampling

  • 24

    3 Probability sampling technique

    1. simple random 2. stratified random 3. systematic random

  • 25

    ADVANTAGE: the most accurate theoretically and influence only by chance DISADVANTAGED: unavailable list if the entire population sometimes or oreventions of random sampling by practical consideration

    Random sampling

  • 26

    ADVANTAGE: Assures large sample to Subdivide on important variables, needed when population is too large to list Can be combined with other techniques DISADVANTAGED: Can be BIASED if strata are given false weights, unless the weighting procedure is used for overall analysis

    Stratified Sampling

  • 27

    ADVANTAGE: Similar to random sampling, often easier than random sampling DISADVANTAGED: Sometimes permit bias

    Systematic Sampling

  • 28

    ADVANTAGE: Easy to collect data on the subject DISADVANTAGED: Prone to bus when the numerous is small

    Cluster Sampling

  • 29

    ADVANTAGE: Available when random sampling is impossible quick to do DISADVANTAGED: presence of bias NOT CONTROLLED by the quota system

    Quota Sampling