Text Ch.10

Question 1

Lollipop question:

Answer 1

was “double-barrelled” in that it had to parts which could be answered differently

Question 2

Types of survey(4)

Answer 2

Interviewer administered
• Face to face
• Telephone
Self-administered
• Internet
• Mail/paper

Question 3

non-response bias

Answer 3

some part of the population is less likely to respond

Question 4

Things to look for in a survey (6)

Answer 4

.order, interviewer affect, question makeup, authors of survey itself, claimed portability, is topic appropriate for survey research

Question 5

cross sectional

Answer 5

In medical research and social science, a cross-sectional study (also known as a cross-sectional analysis, transverse study, prevalence study) is a type of observational study that analyzes data from a population, or a representative subset, at a specific point in time—that is, cross-sectional data.

Question 6

A longitudinal study

Answer 6

is an observational research method in which data is gathered for the same subjects repeatedly over a period of time. Longitudinal research projects can extend over years or even decades. In a longitudinal cohort study, the same individuals are observed over the study period.

Question 7

Issues and Positives(basic, 2 points)
1.Cross-sectional Survey

2. Longitudinal Survey
3. Randomized survey experiment

Answer 7

1• Cannot establish temporal order
• Challenge of confounding

2• Temporal order
• Challenge of confounding

3• Temporal order
• Reduced risk of confounding

Question 8

What type are these: Nominal, Ordinal, Interval, Qualitative

1. Scale
2. Forced Choice
3. Feeling Thermometer
4. Open Ended

Answer 8

1. Ordinal
2. Nominal/Ordinal
3. Interval
4. Qualitative

Question 9

Assessing Survey Questions(11) criteria

Answer 9

1q Neutral language
2q Clear (short, specific)
3q Single-barrelled
4q Balanced response options
5q Exhaustive response categories
6q Mutually exclusive response categories
7q Non-response option
8q Is your question sensitive or nonsensitive?
9q Is your question factual or non-factual?
10q Is your question openended or closed-ended?
11q Is your question easy to answer or difficult to
answer?

Question 10

Official Statistics Vs. Secondary Data

Answer 10

Official Statistics
– Electoral returns data
– Administrative data
– Survey-based data
(including census)

 Secondary data
– Survey datasets
designed and compiled
by others (e.g., Canadian
Election Study)

Question 11

ecological fallacy

Answer 11

An ecological fallacy (or ecological inference fallacy) is a logical fallacy in the interpretation of statistical data where inferences about the nature of individuals are deduced from inference for the group to which those individuals belong.

Question 12

omnibus survey

Answer 12

where researchers can add a few questions to a larger survey

Question 13

coverage bias

Answer 13

the survey data collection mode or some other factor excludes a particular group(s) from the sampling frame

Question 14

non-response bias

Answer 14

sampling error that occrs if the individuals who opt to participate in a survey are in some important way disimilar to those who dont participate

Question 15

Bibby reports

Answer 15

an example of longitudinal study of canadian population

Question 16

non-singular questions

Answer 16

individuals are asked to respond to more then one attitude

ex:”The Northern Gateway Project will CREATE JOBS and PROVIDE ACCESS to Asian Markets”-2 stimuli capitalized so what if they only agree with one?

Question 17

benefits and issues using secondary data

Answer 17

benefits: saves money, time, other resources, data available immediately

issues:might not cover everything needed, wording may not be likethe researcher wanted, control variables may not be in place

Question 18

issues with using official statistics

Answer 18

often microdata is not available just aggregated data