問題一覧
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discusses and explains the data collection and analysis methods used in your research
Methodology
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used to collect data from participants of the study. (Alna, 2004)
Data collection Instruments
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the commonly used Inutrument for collecting research data
Questionnaire
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also known as oral questionnaire. Solicits Information from respondents. through verbal interactions includes: recorder, paper and piro.
Interview
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Refers to a process wereby researchers obtain data from a large group of people at the same time.
Focus group discussion
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Takes place in pure and applied science research 1. Producer immediate result 2. viable and error free
Experiment
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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
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is when you. are studying two variables
Bivariate Data
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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
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is the analysis of one ("uni") variable.
Univariate Analysis
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is the analysis of more than two variable.
Multivariate Analysis
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is a statistical text used to compare the means of two groups. It is often used in hypothesis testing.
T-test
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to compare more than two groups or if you want το do multiple pairwise comparison.
Anova Test
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if the group came from a Single population
Paired T-test
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if the groups. come from two different population. (aka Independent t-test)
Two sample T-test
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if there it one group being compared against a standard value
One sample t-test
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two population's are different from one another
Two tailed t-test
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one population mean is greater than or less than the other
One tailed t-test
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are a crucial component of your discussion Section and the conclusion of your research paper
Recommendation in Research
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is systematic Process of gathering observatioηs or measurements.
Data Collection
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is simple and required very little effort. Few modification are necessary to reflect the specific situation that the Researchers is Interested.
Adopting an instrument
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ASSUMPTIONS OF T-TEST
1. Data - normally distributed 2. Data Indepent 3. Data-> Similar amount of variances
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TWO Type of sampling Design
1. PROBABILITY 2. Non- PROBABILITY
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all members of a population. are given an equal chance to be Selected.
Simple) Random Sampling
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choosing the nth name in a population. au the sample (interval)
Systematic Sampling
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the population into strata and drawing the Sample at random from each division.
STRATIFIED SAMPLING DIVIDING
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A design. that uses a group as a sample rather than an individual.
Cluster Sampling
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The population is grouped by hierarchy from which Sampling is done in each Stage.
Multi Stage Sampling
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used to figure out what sample size you need to take n = N/(1 + Ne²)
SLOVIN'S FORMULA
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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
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is the ability of an instrument to measure what It tends to measure
Validity
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TYPES OF VALIDITY:
1. Criterion Validity 2. Face Validity 3- Content Validity 4- Construct Validity.
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is a synthesis of key points.
Conclusions
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It is where a researchers suggest specific meausures or guidelines that is based on the findings and conclusions.
Reccomendations
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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
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the numerical. Values"name" the attribute uniquely. ex Jervey number.
Nominal Scale
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attributes can be rank ordered.
Ordinal Scale
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the distance between attributes does have meaning.
Interval Scale
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there it always an absolute zero that it meaningful
Ratio Scale
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the sum of the observed values in the distribution divided by the number of distribution
Mean
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find the mean of all the measures combined inτο one group.
Weighted mean
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the midpoint of the distribution
Median
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the most frequently. occurring value in a set of observations
Mode
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the difference between the largest and the smallest Values in a set of data.
Range
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is a measure of spread or variation of data about the mean
Standard Deviation
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used when data available are expressed in terms of ranks
Spearman RHO
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used when the data are expressed in terms. of scores such as weights and heights or scores in a test.
Pearson R
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used to explore the data collected. and to summarize as describe those data.
Descriptive Statistics
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a survey which is carried out using a sampling method, in which a portion only. and not the whole population is surveyed
Sample Survey
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involve some researcher and respondent. Interaction.
Quantitative Interview
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Similar to developing a new Instrument and substantially changes the content of each item
Adapting an instrument