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Survey Research

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Title: Survey Research


1
Survey Research Understanding Statistics
2
Central Tendency
3
Measures of Central Tendency
Central Tendency
Average (Mean)
Median
Mode
4
Mean (Arithmetic Mean)
  • Mean (arithmetic mean) of data values
  • Sample mean

Sample Size
5
Mean
  • The most common measure of central tendency
  • Affected by extreme values (outliers)

0 1 2 3 4 5 6 7 8 9 10
0 1 2 3 4 5 6 7 8 9 10 12
14
Mean 5
Mean 6
6
Median
  • Robust measure of central tendency
  • Not affected by extreme values
  • Median is the middle number

0 1 2 3 4 5 6 7 8 9 10
0 1 2 3 4 5 6 7 8 9 10 12
14
Median 5
Median 5
7
Mode
  • A measure of central tendency
  • Value that occurs most often
  • Not affected by extreme values
  • Used for either numerical or categorical data
  • There may may be no mode
  • There may be several modes

0 1 2 3 4 5 6
0 1 2 3 4 5 6 7 8 9 10 11
12 13 14
No Mode
Mode 9
8
Survey Research
9
What is a Survey?
  • Researchers are often interested in the opinions
    of a large group of people about a particular
    topic or issue.
  • There are three major characteristics that most
    surveys possess
  • Information is collected from a group of people
    in order to describe some aspect of the
    population
  • Information is collected by asking questions of
    the members of the selected group
  • Information is collected from a sample rather
    than from every member of the population

10
Question
  • What are common problems with survey research?

11
Why Are Surveys Conducted?
  • The purpose of surveys is to describe the
    characteristics of a population.
  • Researchers find out how the members of a
    population distribute themselves on one or more
    variables.
  • A selected sample is surveyed and the description
    of the population is inferred from what is found
    out about the sample.
  • In descriptive surveys, researchers are not as
    concerned about why the observed distribution
    exists as with what the distribution is.

12
Types of Surveys
  • There are two types of surveys
  • Cross-sectional survey
  • Collects information from a sample that has been
    drawn from a predetermined population
  • Information is collected at just one point in
    time, even though it could take days to gather
    all the data
  • A census is when the entire population is
    surveyed
  • Longitudinal survey
  • Information is collected at different points in
    time in order to study changes over time
  • Three types are employed
  • Trend study
  • Cohort Study
  • Panel Study

13
Survey Research and Correlational Research
  • Techniques of Correlational Research can be tied
    in with Survey Research.
  • Researchers could look at the relationship of
    responses to one question (survey) to another, or
    of a score based on one set of questions to
    another set.
  • The use of calculating correlation coefficients
    or contingency tables could be determined and
    implemented.

14
Steps in Survey Research
  • The following steps are used in conjunction with
    performing proper surveys in research
  • Defining the problem
  • Identifying the target population (unit of
    analysis)
  • Choosing the mode of data collection
  • Direct administration
  • Mail surveys
  • Telephone surveys
  • Personal interviews

15
Example of an Ideal vs. an Actual Telephone
Sample for a Specific Question
16
Steps in Survey Research(cont.)
  • The following steps are used in conjunction with
    performing proper surveys in research
  • Selecting the sample
  • Preparing the instrument (questionnaire)
  • Closed-ended questions
  • Open-ended questions
  • Pre-testing the questionnaire
  • Format
  • Cover letter
  • Training interviewers

17

18
Example of Contingency Questions
19
Non-response
  • In almost all surveys, some members of the sample
    will not respond.
  • Item non-response is due to unclear or
    questionable forms of wording.
  • Non-response is a serious problem in many
    surveys.
  • A variety of techniques are employed to reduce
    this problem (e.g., rewards or incentive for
    completing the surveys).

20
Data Analysis in Survey Research
  • After researchers receive the completed
    questionnaires, the task of summarizing the
    results remains.
  • The total size of the sample and total percentage
    of returns should be reported.
  • The percentage of the total sample responding for
    each item should be reported.
  • The percentage of respondents who chose each
    alternative for each question should be given.

21
Variability
22
Shapes of Distributions
  • Normal distribution
  • Positive Skew
  • Or right skewed
  • Negative Skew
  • Or left skewed

23
How is this variable distributed?
24
How is this variable distributed?
25
How is this variable distributed?
26
Standard Deviation
  • Considered the most useful index of variability.
  • It is a single number that represents the spread
    of a distribution.
  • If a distribution is normal, then the mean plus
    or minus 3 SD will encompass about 99 of all
    scores in the distribution.

27
Comparing Standard Deviations
Data A
Mean 15.5 S 3.338
11 12 13 14 15 16 17 18
19 20 21
Data B
Mean 15.5 S .9258
11 12 13 14 15 16 17 18
19 20 21
Data C
Mean 15.5 S 4.57
11 12 13 14 15 16 17 18
19 20 21
28
Facts about the Normal Distribution
  • 50 of all the observations fall on each side of
    the mean.
  • 68 of scores fall within 1 SD of the mean in a
    normal distribution.
  • 27 of the observations fall between 1 and 2 SD
    from the mean.
  • 99.7 of all scores fall within 3 SD of the mean.
  • This is often referred to as the 68-95-99.7 rule

29
Fifty Percent of All Scores in a Normal Curve
Fall on Each Side of the Mean
30
Probabilities Under the Normal Curve
31
The Importance of Converging Evidence
  • The connectivity principle
  • New theory in science must make contact with
    established facts.
  • Beware of violations of connectivity.
  • Converging evidence
  • Single studies have flaws
  • Together the flaws should wash out.
  • When might this not be true?

32
Meta-Analysis
  • A meta-analysis is a statistical procedure when
    the researcher averages the results of a group of
    selected studies to get an overall index of
    outcome or relationship.

33
Experimental vs. Nonexperimental
  • Experiments
  • Treatment is administered
  • Students divided into two groups one group
    receives new reading materials the other uses the
    traditional materials.
  • Cancer patients are divided into two groups one
    group receives a new drug the other receives the
    current treatment of choice.
  • Nonexperiments
  • No manipulation of treatment present
  • Individuals given a survey asking about
    television viewing habits.
  • Classrooms observed to see if teachers
    expectations affect student performance.

34
Correlational
  • Study Relationships
  • SAT and Achievement
  • Income and achievement
  • Age and Cholesterol level

35
Causal-Comparative Studies.
  • Causal-comparative (a.k.a. ex post facto)
  • Two characteristics
  • Observe and describe a current condition
  • Look to the past, or demographic characteristics,
    to identify a cause.

36
Survey Research
  • Used to describe
  • Attitudes
  • Opinions
  • Beliefs
  • Behaviors
  • Usually include large numbers
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