Actual Exam 2026/2027 – Complete 35 Questions with
Detailed Rationales | 100% Verified | Pass Guaranteed – A+
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Section A: SPSS Data Management & Variable Setup (Questions 1–6)
Q1: In SPSS, which location is used to define a new variable's name, type, value labels,
and measurement level?
A. Analyze > Descriptive Statistics > Frequencies
B. The Variable View tab: Name, Type, Label, Values, and Measure columns [CORRECT]
C. Transform > Compute Variable
D. Data > Split File
Correct Answer: B
Rationale: Variables are defined in the Variable View tab through the Name, Type, Label,
Values, and Measure columns. Analyze runs statistical procedures, Transform creates
computed variables, and Split File organizes output by groups.
Q2: For PSY 510 Assignment 2, the researcher codes StudyEnvironment as 1 = Quiet
Library, 2 = Noisy Café, and 3 = Home. In Variable View, which measurement setting
should be applied to this variable?
A. Scale
B. Ordinal
C. Nominal [CORRECT]
D. String
Correct Answer: C
Rationale: The numeric codes are arbitrary category labels with no inherent order, so the
variable is nominal. Scale applies to continuous data, ordinal requires ranked
categories, and string is a data type rather than a measurement level.
Q3: In SPSS, which measurement level should be assigned to a continuous variable
such as SleepHours (average hours of sleep per night)?
A. Nominal
B. Ordinal
C. String
D. Scale [CORRECT]
Correct Answer: D
, Rationale: Continuous numeric data measured on an interval or ratio basis are
designated Scale in SPSS. Nominal and ordinal apply to categorical data, and string
stores text rather than analyzable numbers.
Q4: The researcher wants SPSS output to display "Morning" and "Evening" instead of the
codes 1 and 2 for TestTime. Which SPSS feature accomplishes this?
A. The Values column in Variable View, defining value labels (1 = Morning, 2 = Evening)
[CORRECT]
B. Data > Select Cases
C. Analyze > Compare Means > Means
D. Data > Weight Cases
Correct Answer: A
Rationale: Value labels, defined in the Values column, map numeric codes to descriptive
text that appears in output tables. Select Cases filters observations, Compare Means
runs group statistics, and Weight Cases adjusts for frequency weights.
Q5: During data entry, the researcher finds that six participants' ExamScore cells are
blank because they missed the exam. Which approach to these missing values is BEST
before analysis?
A. Replace the blanks with the group mean and proceed as if the data were complete
B. Define the missing values explicitly (leave cells blank as system-missing or declare a
user-missing code such as 99 in the Missing column) and document the handling
approach [CORRECT]
C. Delete those participants' rows from the dataset without any documentation
D. Convert ExamScore to a string variable so the blank cells are accepted
Correct Answer: B
Rationale: Missing data should be explicitly defined (system-missing or user-missing)
and transparently documented, since SPSS procedures exclude missing values
according to stated defaults. Unjustified mean replacement, undocumented deletion,
and string conversion all undermine the analysis.
Q6: The researcher wants to transform continuous SleepHours into a categorical
variable (1 = 5 hours or fewer, 2 = 6 to 7 hours, 3 = 8 or more hours) while preserving the
original variable. Which SPSS feature should be used?
A. Analyze > Descriptive Statistics > Crosstabs
B. Data > Sort Cases
C. File > Save As
D. Transform > Recode into Different Variables [CORRECT]
Correct Answer: D