Easter Eggs

Question 1

What is research?

Answer 1

Research is a type of systematic investigation that is empirical in nature and is designed to contribute to public knowledge

Question 2

What’s a hypothesis?

Answer 2

A hypothesis is a specific statement of prediction

Question 3

What are the two types of hypothesis?

Answer 3

alternative hypothesis and null hypothesis

Question 4

What’s the alternate hypothesis

Answer 4

hypothesis that you support

Question 5

what is the null hypothesis

Answer 5

Describes the remaining possible outcomes

Question 6

What’s a one-tailed hypothesis

Answer 6

Hypothesis that specifies a direction, which means the null hypothesis auto includes both the no-difference prediction and the predictions that would be opposite of the direction

Question 7

What’s a two-tailed hypothesis?

Answer 7

A hypothesis that doesn’t specify a direction.

Question 8

Explain the hypothetico-deductive model

Answer 8

Model in which two mutually exclusive hypotheses that together exhaust all possible outcomes are tested, such that if one hypothesis is accepted, the second must therefore be rejected

Question 9

In terms of sampling terminology, whats the population?

Answer 9

The group you want to generalize to and the group you sample from is called the population in your study.

Question 10

What’s the theoretical population?

Answer 10

A group that you would like to sample from and generalize to.

Question 11

What’s the accessible population?

Answer 11

A group that reflects the theoretical population of interests and that you can get access to when the theoretical population of interest and that you can get access to when sampling.

Question 12

What’s a sampling frame?

Answer 12

The listing of the accessible population from which you’ll draw your sample is called the sampling frame.

Question 13

What’s the sample?

Answer 13

The group of people you select to participate in your study.

Question 14

Explain the normal-curve in sampling

Answer 14

A normal curve distribution is a commong type of distribution where the values of a variable have a bell-shaped histogram or frequency distribution.

Question 15

Explain the 68, 95, 99 rule in normal dist.

Answer 15

Approximately 68% of the cases occur within one standard deviation on the mean or center, 95% of the cases fall within two standard deviations, and 99% are within three standard deviations.

Question 16

Define a normal curve:

Answer 16

Type of distribution where the values of a variable have a smoothed histogram or frequency distribution that is shaped like a bell.

Question 17

What are the 4 types of reliability

Answer 17

1. Inter-rater or inter-observer reliability
2. Test-retest reliability
3. Parallel-forms reliability
4. Internal consistency reliability

Question 18

Explain the Inter-rater or inter-observer reliability

Answer 18

used to assess the degree to which different raters/ observers give consistent estimates of the same phenomenon

Question 19

Explain the test-retest reliability

Answer 19

Used to assess the consistency of an observation from one time to another

Question 20

Explain the parallel forms reliability

Answer 20

Used to assess the consistency of the results of two tests constructed in the same way from the same content domain

Question 21

Explain the Internal consistency reliability

Answer 21

Used to assess the consistency of results across items within a test.

Question 22

Two ways to estimate inter-rater reliability are?

Answer 22

1. If your measurement consists of categories, you can calculate the percentage of agreement between raters. Cohen’s Kappa

Question 23

Define Cohen’s Kappa

Answer 23

A statistical estimate of inter-rater reliability that is more robust than percent agreement because it adjust for the probability that some agreement is due to random chance

If the measure is a continuous one, rather than a categorical one, all you need to do is calculate the correlation between the ratings of the two observers.