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Quantitative Research Design
Backdrop to Multivariate Analysis
Quantitative Research Process
Research Objectives Background of the Problem Research Questions Hypotheses Method Data Analysis Discussions and Implications Limitations
Research Proposal
A written statement of the research design
Including the purpose of the study, definition of the problem, research methodology and details of the procedures
Sampling
Sampling terminology Sample Population Population element Census
Why sample? Pragmatic reasons Accurate and reliable results
Probability versus Nonprobability Sampling
Probability sampling Simple random sampling Systematic sampling Stratified sampling Proportional versus disproportional strata Cluster sampling Multistage area sampling
Nonprobability sampling Convenience sampling Judgment sampling (purposive sampling) Quota sampling Snowball sampling
Sample Size
Confidence level
Variables
Categorical (classificatory) variable Continuous variable Dummy variable Independent variable Dependent variable
Tips for Questionnaire Design Two basic criteria
Relevance Accuracy
Opened-ended v.s. fixed-alternative questions Types of fixed-alternative questions (mutually
exclusive) Dichotomous-alternative question Determinant-choice question Frequency-determination question Checklist question
The Art of Asking Questions Avoid complexity: use simple language Avoid leading and loaded questions
Counterbiasing statement Split-ballot technique
Avoid ambiguity: be as specific as possible Avoid double-barreled items Avoid making assumptions Avoid burdensome questions that may tax
the respondent’s memory
Some Issues about Questionnaire Design
Order Bias Funnel technique Anchoring effect Filter question Pivot question
Best Layout Multiple-grid question
Pre-testing and Revising
Survey Research
Advantages of survey research: Quick Inexpensive Efficient Accurate
Survey Research
Total Error
Random sampling
error
Systematic error
Respondent error
Administrator error
Nonresponse error
Response bias
Deliberate falsification
Unconscious misrepresentation
Acquiescence bias
Extremity bias
Interviewer bias
Auspices bias
Social desirability
biasData processing error
Sample selection error
Interviewer error
Interviewer cheating
Experimental Research A research investigation in which
conditions are controlled so that an independent variable(s) can be manipulated to test a hypothesis about a dependent variable.
Allows evaluation of causal relationships among variables while all other variables are eliminated or controlled.
Basic Issues in Experimental Design
Manipulation of the independent variable Experimental treatments Experimental and control groups Experimental treatment levels More than one independent variable Selection and measurement of the
dependent variable Demand characteristics Debriefing (ethical issue)
Experimental Validity External validity (generalizability) Internal validity
The ability of an experiment to answer the question of whether an experimental treatment was the sole cause of changes in a dependent variable or whether the experimental manipulation did what it was supposed to do.
History Maturation Testing Instrumentation Selection Mortality
Measurement– types of scales Nominal scale
Frequency in each category Percentage in each category
Ordinal scale (rank order) Median Range Percentile ranking
Interval scale (rank order in equal intervals) Mean Standard deviation Variance
Ratio scale (arithmetic operations on actual quantities) Geometric mean Coefficient of variation
Reliability
Old Rifle New Rifle New Rifle Sunglare
(low reliability) (high reliability) (reliable but not valid)
Reliability Analysis
Cronbach’s alpha cofficeint (Cronbach, 1951) Refer to the applicability of obtained scored
as an estimate of “true” scores if all possible tests or all possible scores were available
What is acceptable reliability? 0.85 or higher Depends on the numbers of item and the situation