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PRACTICAL RESEARCH 2
  • Mayvielyn Yao

  • 問題数 51 • 1/20/2024

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    問題一覧

  • 1

    discusses and explains the data collection and analysis methods used in your research

    Methodology

  • 2

    used to collect data from participants of the study. (Alna, 2004)

    Data collection Instruments

  • 3

    the commonly used Inutrument for collecting research data

    Questionnaire

  • 4

    also known as oral questionnaire. Solicits Information from respondents. through verbal interactions includes: recorder, paper and piro.

    Interview

  • 5

    Refers to a process wereby researchers obtain data from a large group of people at the same time.

    Focus group discussion

  • 6

    Takes place in pure and applied science research 1. Producer immediate result 2. viable and error free

    Experiment

  • 7

    is a five lor seven) point scale that is used to allow an individual to express how much they agree or disagree with a particular statement.

    Lekert Scale

  • 8

    is when you. are studying two variables

    Bivariate Data

  • 9

    means. analysis of bivariate data. It is one of the simpliest form of statistical αnalysis, used to find out if there is a relationship between two sets of values. - variables x and y

    Bivariate Analysis

  • 10

    is the analysis of one ("uni") variable.

    Univariate Analysis

  • 11

    is the analysis of more than two variable.

    Multivariate Analysis

  • 12

    is a statistical text used to compare the means of two groups. It is often used in hypothesis testing.

    T-test

  • 13

    to compare more than two groups or if you want το do multiple pairwise comparison.

    Anova Test

  • 14

    if the group came from a Single population

    Paired T-test

  • 15

    if the groups. come from two different population. (aka Independent t-test)

    Two sample T-test

  • 16

    if there it one group being compared against a standard value

    One sample t-test

  • 17

    two population's are different from one another

    Two tailed t-test

  • 18

    one population mean is greater than or less than the other

    One tailed t-test

  • 19

    are a crucial component of your discussion Section and the conclusion of your research paper

    Recommendation in Research

  • 20

    is systematic Process of gathering observatioηs or measurements.

    Data Collection

  • 21

    is simple and required very little effort. Few modification are necessary to reflect the specific situation that the Researchers is Interested.

    Adopting an instrument

  • 22

    ASSUMPTIONS OF T-TEST

    1. Data - normally distributed 2. Data Indepent 3. Data-> Similar amount of variances

  • 23

    TWO Type of sampling Design

    1. PROBABILITY 2. Non- PROBABILITY

  • 24

    all members of a population. are given an equal chance to be Selected.

    Simple) Random Sampling

  • 25

    choosing the nth name in a population. au the sample (interval)

    Systematic Sampling

  • 26

    the population into strata and drawing the Sample at random from each division.

    STRATIFIED SAMPLING DIVIDING

  • 27

    A design. that uses a group as a sample rather than an individual.

    Cluster Sampling

  • 28

    The population is grouped by hierarchy from which Sampling is done in each Stage.

    Multi Stage Sampling

  • 29

    used to figure out what sample size you need to take n = N/(1 + Ne²)

    SLOVIN'S FORMULA

  • 30

    may be used for a population of more than 100- ss = NV + (ve)2 x(1-P) Nue + (v) 2 x P(1-P)

    Calmorin Formula

  • 31

    is the ability of an instrument to measure what It tends to measure

    Validity

  • 32

    TYPES OF VALIDITY:

    1. Criterion Validity 2. Face Validity 3- Content Validity 4- Construct Validity.

  • 33

    is a synthesis of key points.

    Conclusions

  • 34

    It is where a researchers suggest specific meausures or guidelines that is based on the findings and conclusions.

    Reccomendations

  • 35

    conclusion is a wrap-up of the entire study and its completeness while Suggestions (reccomendation) are Suggestions based on the conclusions).

    Research Findings Lead to a STRONG CONCLUSION

  • 36

    the numerical. Values"name" the attribute uniquely. ex Jervey number.

    Nominal Scale

  • 37

    attributes can be rank ordered.

    Ordinal Scale

  • 38

    the distance between attributes does have meaning.

    Interval Scale

  • 39

    there it always an absolute zero that it meaningful

    Ratio Scale

  • 40

    the sum of the observed values in the distribution divided by the number of distribution

    Mean

  • 41

    find the mean of all the measures combined inτο one group.

    Weighted mean

  • 42

    the midpoint of the distribution

    Median

  • 43

    the most frequently. occurring value in a set of observations

    Mode

  • 44

    the difference between the largest and the smallest Values in a set of data.

    Range

  • 45

    is a measure of spread or variation of data about the mean

    Standard Deviation

  • 46

    used when data available are expressed in terms of ranks

    Spearman RHO

  • 47

    used when the data are expressed in terms. of scores such as weights and heights or scores in a test.

    Pearson R

  • 48

    used to explore the data collected. and to summarize as describe those data.

    Descriptive Statistics

  • 49

    a survey which is carried out using a sampling method, in which a portion only. and not the whole population is surveyed

    Sample Survey

  • 50

    involve some researcher and respondent. Interaction.

    Quantitative Interview

  • 51

    Similar to developing a new Instrument and substantially changes the content of each item

    Adapting an instrument