Day 5

Question 1

What is Survey Research?

Answer 1

A set of goal subscription in regard to a population but with a sample.

Question 2

Survey methods require decisions about?

Answer 2

The focus or goal of the study, specific questions to be asked, format of the questions, organization of the questionnaire and administration of the questionnaire.

Question 3

What is an open-ended question?

Answer 3

you get a feel for the subject, they get to answer in their own words. but it’s very hard to statistically score

Question 4

What are partially open-ended questions?

Answer 4

shows you a wider rather than small or broad. Giving a variety of answers.

Question 5

What are close-ended questions?

Answer 5

can confuse or get an untrue response, yes/no answers for example.

Question 6

Likert RATING SCALE?

Answer 6

Good for giving more of a variety. sometimes they give too wide of range with these modified types of scales.

Question 7

What is a response bias?

Answer 7

leading questions, a question that leads to a desired answer (political campaign questions.)
Loaded questions, complex question that could be controversial.
Double-barreled question, more than one issue being discussed with one answer.

Question 8

What is social desirability?

Answer 8

varying the way we phrase questions, blinding the purpose of the survey, testing if they follow instructions.

Question 9

Layout of surveys usually

Answer 9

starting with soft questions first and then building up to the tough ones, they must be emotionally safe for the test.

Question 10

Types if survey methods?

Answer 10

Mail survey, Telphone, personal interview (face to face) or sampling techniques, internet surveys. The problem wit internet, telephone, mail survey is they might not answer. Face to face they might have social desirability to answer to the interviewers likelihood of wanting to hear. Internet is the cheapest way but they are unsure of who is answering.

Question 11

Important info in regards to sampling and probability/random sampling?

Answer 11

Probability sampling is being part of a specific sample (random sample) specific to need but randomly selected of the population.

Question 12

What is a convenience sampling?

Answer 12

a sample conveniently available to you.

Question 13

Generalization ?

Answer 13

do these apply to people;e who are not in our sample, sampling biases is always a concern.

Question 14

What is frequency distribution?

Answer 14

a table in which you are displaying,organizing and summarizing data, the number of categories include the values. THE SCORES ARE X AND THE F IS FREQUENCY. possibly of seeing percentage of scores.

Question 15

Define an outlier?

Answer 15

a score extremely higher or lower than others in cluster. important because it may affect a lot for you.

Question 16

Constructing grouped frequency distribution tables

Answer 16

Categories are called class intervals. a simple number as an interim width, each interval should begin with a multiple of its width. ex: for an interval of 5 categories will be in 5 intervals.

Question 17

What is a histogram?

Answer 17

Categories is always on the X axis and the Frequency is on the Y. Histograms the bars touch.

Question 18

What is a bar graph?

Answer 18

similar to a histogram BUT it separates the categories unlike the histogram where it is clumped together.

Question 19

What is a Polygon?

Answer 19

Much like a histogram in regards to the categories BUT it connects to represent the continuum

Question 20

Distribution terms can be described in terms of

Answer 20

Shape- symmetrical or skewed. Meaning: midpoint and centered. Variability can be spread and skewed meaning the shape of the distribution. Skewing can either be positive(going left) or negative(going right) the meaning of these two are only for direction.

Question 21

Measures of central tendency

Answer 21

One way to look at it is midway of distribution. There are way for measuring central tendency, being mean, median or mode. No single procedure is a perfect.

Question 22

What is the mean ?

Answer 22

Obtained by computing the sum of the entire set of scores, the dividing the sum by the number of scores. You have to use every score even if there’s outliers. One score can influence the results. Sum means :N, sample mean: m, sample size is n or N.

Question 23

Characteristics of the mean?

Answer 23

Because the calculation of the mean involved every score in the distribution, it could change value of the score. When the mean doesn’t work extreme scores in the distribution with cause a skewed disturbing. From missing values or measurements on an ordinal scale because ordinal scales do not have equal intervals.

Question 24

The median

Answer 24

Divides sample in half, so that 50% of the scores in distribution have values tgat are above median. Odd numbers of scores, list calues in order and the median is the middle core. Width even number of scores list values in order, the median is the half way between the middle 2 scores if there is two middles points. Relative/unaffected by extreme scores(outliers)

Question 25

The mode

Answer 25

Defined as the most frequently occurring category of score in the distribution. Category or score corresponding to peak of high point in distribution. Central tendency and shape of distribution. Because mean, median and mode are all measuring central tendency they are all related to another.