Reliability
Validity
Composite Measures
Normal Distributions & z-scores
Hypothesis Testing
100

What does it mean to say a scale is reliable?

It is consistent. It means your findings can be repeated (i.e., replicated).

100

What does it mean to say a scale is valid?

It is accurate. It measures what it claims to measure.

100

What is a composite scale?

A combination of two or more individual measures in a single measure that results in a single score.

100

What is a z-score?

A z-score is a standardized score. 

• It tells us how far a score is from the mean in standard deviation units.

100

What is a null hypothesis?

The null hypothesis is the hypothesis of randomness and no difference/no correlation. 

200

What statistic is used to calculate the reliability of a scale?

Cronbach’s alpha assesses whether the items hang together 

• Measure of the consistency of items, in terms of their ability to generate similar responses from participants.

200

What is criterion validity?

When a scale matches other established measures of the same concept.

Example: A short form satisfaction measure should produce similar results as traditional measures.

200

Why use composite measures?

Composite measures allow researchers to measure a concept that is too complex to be measured simply, or with one item.

200

What is the formula for computing a z-score?

Z-scores are computed by subtracting the mean from a score and dividing by the standard deviation. 


200

What is an alternative (or research) hypothesis?

The alternative hypothesis is the prediction that the researcher is trying to test. 

‼️ Note: It says that there is a difference and a pattern that cannot be attributed to randomness. 

300

True or False: Your measure can be reliable without being valid.

✅ True. Measures can be consistently inaccurate


**Please note: This is why it is important to use previously validated scales unless you have plans to validate them yourself.

300

What is discriminant/divergent validity?

When a scale is different from other scales it should not be similar to.


Example: A measure of Positive Workplace should be different from Workplace Bullying.

300

True or False: We do not need to calculate reliability for previously validated measures.

False

300

What is the mean and standard deviation of a distribution of standardized scores (i.e., in a standard normal distribution)?

The M (μ) is equal to 0 and the SD (σ) is equal to 1.

300

What is the difference between a directional and non-directional hypothesis?

Directional requires a 1-tailed test and non-directional requires a 2-tailed test. 

Note: You either specify a direction for the effect or you don’t (i.e., there will be an association vs. there will be a positive/negative association.

400

True or False: Your measure can be valid without being reliable.

False 


If your measure is accurate, it will also be consistent.

400

What is face validity?

When a scale looks like it is measuring what it is supposed to. 

• It is a judgement call.

400

True or False: Once you have chosen a validated composite measure, it is fine to pick and choose which items you want to use.

False

400

What do z-scores allow us to do?

Standardized scores allow us to compare two (or more) scores that are on different scales.

Example: two COM308 courses just took Exam #2. Class 1's scores ranged from 80 - 98.5. Class 2's scores ranged from 74 - 99.

Explanation: If we standardize scores from each course, we are putting each class on the same metric (i.e., a standard normal distribution) and able to interpret how students performed in each class.

400

What does an p < 0.05 mean?

🔍 The largest probability level one can have and still claim significance. It means that a statistic must occur, at random, fewer than 5 out of 100 times (i.e., 5% margin of error).

⚠️Caveat: If = 0.05, the result is not significant.

                      p > 0.05 ❌ significant

                      p < 0.05 ✅ significant

500

True or False: You should calculate Cronbach’s α BEFORE reverse coding your items.

False 


You need to reverse them first.

500

What is convergent validity?

When a scale is similar to other scales it should be theoretically similar to.

Example #1: A measure of Disclosure Frequency should be similar to a measure of Disclosure Depth

Example #2: A measure of Student Motivation should be similar to Affective Learning or Growth Mindset

500

What are the steps for creating a composite scale?

1.) Reverse code items as needed.

2.) Calculate reliability (i.e., using reverse-coded items).

3.) If reliability is good, average your items together to create a composite scale.

500

Can z-scores be used to identify outliers? How?

Scores more than +/- 2 SDs from the mean are outliers.

500

What is an α (or alpha) level?

The largest probability level that one can have and still claim to have a statistical significant result. If the probability associated with a statistic is less than the alpha level, it is considered statistically significant.