Social Work Comprehensive Exam BSW (Kutztown University) 100%
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Meta Practice-ANSWER consideration of global social aspects that both over arch and
interact with micro, mezzo and macro practice
Practice-Informed Research-ANSWER Use practice experience to inform scientific
inquiry
Research-Informed Practice-ANSWER Use research evidence to inform practice
Three reasons social workers study statistics-ANSWER 1. Social workers conduct
research
2. Social workers rely on others research findings
3. Ethical responsibility to evaluate their own practices effectiveness
evidence-based practice-ANSWER making decisions about practice based on the best
available evidence
Data-ANSWER measurement collected in research study
Information-ANSWER Data converted into a meaningful and useful context
Variable-ANSWER Characteristic or attribute that varies in quantity or quality among the
people being studied
Constants-ANSWER Conditions that remain constant in the experiment
,Value categories-ANSWER the different forms a variable can take
Values- ANSWER when difference in variables are described by numbers
Frequency - ANSWER The number of times that it occurs within a group of cases
Conceptualization - ANSWER the process of selecting what variables we will need to
measure
Operatonalization - ANSWER How we are going to measure the variable we have
conceptualized
Reliability - ANSWER degree of consistency of a measurement
Validity - ANSWER measurement is both reliable and is truly measuring what is to
believed to be measured
research hypothesis - ANSWER statement we make about what we believe will happen
Three forms of research hypothesis - ANSWER One-tailed
Two-tailed
Null
One-tailed hypothesis - ANSWER is directional
two-tailed hypothesis - ANSWER is non-directional
null hypothesis - ANSWER variables are not related
,Association- ANSWER non-causal relationship predicts that one value category of one
variable will be found in another
positive correlation- ANSWER A correlation where as one variable increases the other
also increases, or as one decreases so does the other. Both variables move in the same
direction.
negative correlation- ANSWER A finding that two factors vary systematically in opposite
directions, one increasing as the other decreases.
independent variable - ANSWER Influence/cause
dependent variable - ANSWER The outcome factor; the variable that may change in
response to manipulations of the independent variable.
Scale of Measurement:
Nominal - ANSWER least precise.
assign number to non-orderly categories
1. YES
2. NO
3. Undecided
or
1. MALE
2. FEMALE
Ordinal - ANSWER category range (like from high to low)
quantitative
ratings
1. very good
2. good
3. fair
, 4. poor
5. very poor
or
1. A.A.
2. BSW
3. MSW
4. DSW
Interval - ANSWER no absolute zero point
zero does not mean absence of variable
examples: temperature, IQ score
Ratio - ANSWER fixed, absolute and non arbitrary zero point
example: weight
Discrete variable - ANSWER takes on finite number or values ( no decimals)
Continuous variable - ANSWER can take on all numerical values (can be a decimal)
Mode - ANSWER the most frequently occurring score(s) in a distribution
Median- the middle score in a distribution; half the scores are above it and half are
below it
Mean- the average
Range- the difference between the highest and lowest scores in a distribution
positively skewed distribution- outliers are among the highest values of distribution
pass Guaranteed Latest Update
Meta Practice-ANSWER consideration of global social aspects that both over arch and
interact with micro, mezzo and macro practice
Practice-Informed Research-ANSWER Use practice experience to inform scientific
inquiry
Research-Informed Practice-ANSWER Use research evidence to inform practice
Three reasons social workers study statistics-ANSWER 1. Social workers conduct
research
2. Social workers rely on others research findings
3. Ethical responsibility to evaluate their own practices effectiveness
evidence-based practice-ANSWER making decisions about practice based on the best
available evidence
Data-ANSWER measurement collected in research study
Information-ANSWER Data converted into a meaningful and useful context
Variable-ANSWER Characteristic or attribute that varies in quantity or quality among the
people being studied
Constants-ANSWER Conditions that remain constant in the experiment
,Value categories-ANSWER the different forms a variable can take
Values- ANSWER when difference in variables are described by numbers
Frequency - ANSWER The number of times that it occurs within a group of cases
Conceptualization - ANSWER the process of selecting what variables we will need to
measure
Operatonalization - ANSWER How we are going to measure the variable we have
conceptualized
Reliability - ANSWER degree of consistency of a measurement
Validity - ANSWER measurement is both reliable and is truly measuring what is to
believed to be measured
research hypothesis - ANSWER statement we make about what we believe will happen
Three forms of research hypothesis - ANSWER One-tailed
Two-tailed
Null
One-tailed hypothesis - ANSWER is directional
two-tailed hypothesis - ANSWER is non-directional
null hypothesis - ANSWER variables are not related
,Association- ANSWER non-causal relationship predicts that one value category of one
variable will be found in another
positive correlation- ANSWER A correlation where as one variable increases the other
also increases, or as one decreases so does the other. Both variables move in the same
direction.
negative correlation- ANSWER A finding that two factors vary systematically in opposite
directions, one increasing as the other decreases.
independent variable - ANSWER Influence/cause
dependent variable - ANSWER The outcome factor; the variable that may change in
response to manipulations of the independent variable.
Scale of Measurement:
Nominal - ANSWER least precise.
assign number to non-orderly categories
1. YES
2. NO
3. Undecided
or
1. MALE
2. FEMALE
Ordinal - ANSWER category range (like from high to low)
quantitative
ratings
1. very good
2. good
3. fair
, 4. poor
5. very poor
or
1. A.A.
2. BSW
3. MSW
4. DSW
Interval - ANSWER no absolute zero point
zero does not mean absence of variable
examples: temperature, IQ score
Ratio - ANSWER fixed, absolute and non arbitrary zero point
example: weight
Discrete variable - ANSWER takes on finite number or values ( no decimals)
Continuous variable - ANSWER can take on all numerical values (can be a decimal)
Mode - ANSWER the most frequently occurring score(s) in a distribution
Median- the middle score in a distribution; half the scores are above it and half are
below it
Mean- the average
Range- the difference between the highest and lowest scores in a distribution
positively skewed distribution- outliers are among the highest values of distribution
