Course Content I. Introduction to the Research Process II. Identification of the Research Problem...
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Transcript of Course Content I. Introduction to the Research Process II. Identification of the Research Problem...
Course Content
I. Introduction to the Research Process
II. Identification of the Research Problem
III. Development of the Research Question or Hypothesis
IV. Formulation of the Research Methods
V. Analysis and Interpretation of the Collected Data
VI. Writing the Research Report
The Scientific Method
1. Develop the problem
2. Develop a theoretical solution to the problem
3. Formulate the hypothesis or question
4. Formulate the research plan (methods)
5. Collect and analyze the data
6. Interpret the results and form conclusions
7. Refine the theory
Formulation of the Research Methods
A. Selecting the Appropriate Design
B. Selecting the Subjects
C. Selecting Measurement Methods & Techniques
D. Selecting Instrumentation
Formulation of the Research Methods
E. Developing Procedures & ProtocolF. Using a Pilot StudyG. Selecting the Appropriate Analysis
TechniquesH. Developing a Timeline & BudgetI. Collecting the Data
Definitions
Population – group of things (people) having one or more common characteristics
Sample – representative subgroup of the larger populationUsed to estimate something about a population
(generalize)Must be similar to population on characteristic
being investigated
Sampling Methods
Probability Sampling Simple random sampling Stratified random
sampling Systematic sampling Cluster (area) sampling Multistage sampling
Non-Probability Sampling Deliberate (quota)
sampling Convenience sampling Purposive sampling
Simple Random Sampling
Equal probability Techniques
Fishbowl (with replacement & w/o replacement) Table of random numbers
Advantage Most representative group
Disadvantage Difficult to identify every member of a population
Stratified Random Sampling
Technique Divide population into various strata Randomly sample within each strata Sample from each strata should be proportional
Advantage Better in achieving representativeness on control
variable Disadvantage
Difficult to pick appropriate strata Difficult to ID every member in population
Systematic Sampling
Technique Use “system” to select sample (e.g., every 5th item in
alphabetized list, every 10th name in phone book) Advantage
Quick, efficient, saves time and energy Disadvantage
Not entirely bias free; each item does not have equal chance to be selected
System for selecting subjects may introduce systematic error Cannot generalize beyond pop actually sampled
Cluster (Area) Sampling
Randomly select groups (cluster) – all members of groups are subjects
Appropriate when you can’t obtain a list of the members of the
population have little knowledge of pop characteristics Pop is scattered over large geographic area
Cluster (Area) Sampling
Advantage More practical, less costly
Conclusions should be stated in terms of cluster (sample unit – school)
Sample size is # of clusters
Multistage Sampling
Stage 1 randomly sample clusters (schools)
Stage 2 randomly sample individuals from the schools
selected
Sampling Methods
Probability Sampling Simple random sampling Stratified random
sampling Systematic sampling Cluster (area) sampling Multistage sampling
Non-Probability Sampling Deliberate (quota)
sampling Convenience sampling Purposive sampling
Deliberate (Quota) Sampling
Similar to stratified random sampling Technique
Quotas set using some characteristic of the population thought to be relevant
Subjects selected non-randomly to meet quotas (usu. convenience sampling)
Disadvantage selection bias Cannot set quotas for all characteristics important to
study
Convenience Sampling
“Take them where you find them” - nonrandom Intact classes, volunteers, survey respondents
(low return), a typical group, a typical person Disadvantage: Selection bias Use post hoc analysis to show groups were
equal at the start
Sample Size
Critical factor is whether sample is representative Necessary sample size depends on population size Recommendations:
Use tables from books 30 per group Descriptive studies – 10-20% of population No more than 50% of population
Statistical power Attrition
Other Sampling Considerations
Random assignment Sampling of treatments (experimental research) Use post hoc analysis to show groups were equal at
the start Since random sampling is often impossible, sample
must be selected on some theoretical basis Be careful with generalizations
When Selecting Subjects …
Are subjects with special characteristics necessary for your research? (age, gender, trained/untrained, expert/novice, size, etc.)
Can you obtain the necessary permission and cooperation from the subjects?
Can you find enough subjects?
Interaction among selection of subjects, treatments, and measures is essential for experimental studies.
Reporting Subjects
State how many subjects were selected Describe how the subjects were selected Discuss whether any subjects were lost during
the study and why Explain why the subjects were selected Describe subject characteristics that are
pertinent to study – be very specific Identify procedures taken to protect the subjects