The most versatile type of question format used by researchers is the:

Analysis of variance (ANOVA) is most applicable when there:

Surveys in which the respondent takes the responsibility for reading and answering questions are called:

As a researcher, you must also be on the alert to spot ‘completed’ questionnaires that don’t really have true responses. Consider, for example, a respondent who checked the “5” position on a five-point scale for each of the 20 items in an attitude questionnaire, even though some items were expressed negatively and some positively.  Examining the questionnaire in this manner, “the process of checking and adjusting data for omissions, consistency, and legibility”, occurs during which state of data preparation?

From Codebook:  Importance of Personal Value: Variable ID: Fun (fun) Code Values: importance was measured with a 7-point scale ranging from “very important” (7) to “very unimportant” (1). Variable ID: Security (security) Code Values: importance was measured with a 7-point scale ranging from “very important” (7) to “very unimportant” (1).   Paired Samples Statistics  Variables Mean N Std. Deviation Std. Error Mean fun 2.73 135 1.121 .096 security 2.21 135 1.252 .108   Paired Samples Test  Pair Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference -Lower 95% Confidence Interval of the Difference – Upper t df Sig. (2-tailed) Pair 1 fun-security .526 1.701 1.146 .236 .815 3.593 134 .000   If you have trouble reading the table, here is the information it contains in text form:  Results table for Paired Sample Statistics. Rows are the statistics: for the variables: 1) fun; and, 2) security.  Columns are: 1) Mean; 2) N; 3), Std. Deviation; and, 4), Std. Error Mean. Results: fun: Mean = 2.73. N = 135. Std. Deviation = 1.121. Std. Error Mean = .096. security: Mean=2.21. N=135. Std. Deviation = 1.252. Std. Error Mean = .108 Results table for Paired Samples Test for fun-security. Row is the statistics: for the pair 1 fun-security.  Columns are: 1) Mean; 2) Std. Deviation; 3) Std. Error Mean; 4) 95% Confidence Interval of the Difference – Lower; 5) 95% Confidence Interval of the Difference – Upper; 6) t; 7) df; and, 8) Sig (2-tailed).  Results: Mean=.526. Std. Deviation = 1.701. Std. Error Mean = 1.146. 95% Confidence Interval of the Difference – Lower = .236. 95% Confidence Interval of the Difference – Upper = .815. t = 3.593. df = 134. Sig (2-tailed) = .000. According to the analysis conducted above: Is the result of the test significant? [Note: bold font does NOT indicate more important information to answer the question; it is used to help distinguish the two different tables]. 

From Codebook:  Normal time to visit Avery Fitness Center: Variable ID: daypart Code Values: morning, afternoon, evening Results table from SPSS Daypart daypart Frequency Percent Valid Percent Cumulative Percent morning 85 75.2 75.2 75.2 afternoon 20 17.7 17.7 92.9 evening 8 7.1 7.1   Total 113 100.0 100.0  100.0   If you have trouble reading the table, here is the information it contains in text form: daypart rows = 1) morning; 2) afternoon; 3) evening; and, 4) Total. column headings = 1) Frequency; 2)  Percent; 3) Valid Percent; and, 4) Cumulative Percent. The cells for each are filled in with the appropriate numbers (frequency, percent, valuid percent, cumulative percent) for each daypart as well as Totals.  This type of results format is an example of a(n):

In Qualtrics, _____ is used when there is one question that a researcher wants to show a respondent but only if they had answered on a certain way on the previous question. 

What is the appropriate statistical test to use to answer the following question? “Is the average household income in zip code 22030 greater than $149,000?” Hint: $149,000 was the average household income in that zip code according to the 2020 census (an external benchmark).

Which of the following is NOT true about question sequencing?

The location of each variable in the data array and the way in which it was coded is contained in a: