Draw
a Scientist: Middle School and High School Students’
Conceptions
about Scientists
Judith
Nuño
USC
Rossier School of Education
CTSE
509: Advanced Science Teaching Methods
March
26, 1998
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Introduction
The first image that comes to mind when I think about a scientist
is that of Charles Darwin with his long, flowing beard, followed
by that of Albert Einstein with his wild, white hair, and then that
of Dr. Frankenstein, surrounded by bubbling test tubes and potions.
Then I think of the gentle face of Sister Dolores, my high school
biology teacher, followed by that of Dr. Barbara DeWolfe, white-crowned
sparrow expert and my mentor in graduate school. Then I think of
the powerful, for me, female images of Lynn Margulis, Dian Fossey,
Eugenie Clark and Jane Goodall. I have avidly read Darwin’s papers
and writings and many, if not all, of his biographies and I gained
my sense of what science is from him...careful, meticulous, tedious
at times observations, careful checking of connections and facts,
constant questioning, and essentially reclusive behavior, interspersed
with sick spells, while being coddled by an attentive spouse...the
epitome of a scientist. Einstein has the appearance, Frankenstein
the accouterments, but Sister the Dolores the patience to explain.
I have few memories of my undergraduate science professors from
UCLA, even though they were renowned in their field, had received
Nobel Prizes and other scientific acclaim, and did instruct me in
the intricacies of organic nomenclature and synthesis and the physiology
of the neuron. But they seemed surrounded by papers, data, and sophisticated,
even then, equipment that distanced the scientist from the natural
world. Dr. DeWolfe taught me how to look at birds in their natural
habitat, how to make observations and measurements with simple equipment,
how to use my senses to detect nature’s patterns. And I avidly read
the books and articles of Lynn Margulis, who indeed needed sophisticated
equipment to analyze the intricacies of intracellular structure
that formed the background for her symbiotic theory of evolution,
and those of the gorilla and chimpanzee experts Dian Fossey and
Jane Goodall, who demonstrated to me extreme patience and perseverance.
And of course I admired the courage of Eugenie Clark in studying
sharks. But interesting to me is that my initial image of the scientist
is male, with facial hair, with a lab coat and surrounded by glassware
and potions. But the scientists that have deeply inspired me are,
except for Darwin, female, don’t wear glasses in their photographs
at least, and work outdoors in comfortable, normal clothing or in
wet suits! I could now list here an extremely long list of different
types of scientists with the equipment and type of clothing they
would probably wear while engaged in their science, and I would
probably be outdated in terms of some of the equipment and completely
wrong about some of the clothing, because these are external signs
and really say nothing about the cognitive and affective nature
of a scientist. I have known scientists and I have done science,
so I have a personal concept of what scientists do and what science
is. And it is highly personal, enjoyable, tedious, frustrating,
enlightening, confusing. If confusing to me, the science teacher,
how must it appear to my students?
This
personal digression forms the background to a study of middle school
and high school students’ images of scientists. I was interested
in finding out how the image of a scientist might differ between
male and female students and among students with different levels
and types of science courses. As a high school science teacher,
I am interested in how my students perceive science, scientists
and the possibility of a career in science. Besides, asking students
to draw a picture of a scientist (the Draw-a-Scientist-Test--DAST)
seemed a good way to start the second semester. I was astounded
by the variety and richness of the images I received from the students,
even before I began a structured analysis of the drawings. Because
of this richness and also because I have recently started a dialogue
with a middle school teacher from our major feeder school, I asked
her to obtain scientist drawings from her students. And all the
drawings sat in my office while I figured out a way to analyze them.
Only after a structured analysis did I perceive some problems with
the DAST in determining students’ conceptions about scientists.
So I then conducted personal interviews with male and female students
who have completed several high school science courses. It was after
compiling the information from these interviews that I reflected
on my personal image of scientists and science and realized how
much of a difference there could be between image and actual conception.
The
DAST was originally developed by Chambers (1983) as an open-ended
projective test to detect children’s perceptions of scientists.
Chambers used seven standard image indicators to evaluated the scientists
images. The test has been expanded, standardized and revised by
others (Mason, Kahle and Gardner, 1991; Symington and Spurling,
1990; Finsen and Beaver, 1994) to include 11 standard images, alternative
images and interview questions and to investigate science teachers’
images and beliefs about scientists and science teachers (Thomas,
1998). Several studies have indicated the emergence of a stereotypical
image of scientists as early as the fifth grade (Chambers, 1983;
Schibeci and Sorensen, 1983) and increasing sophistication and complexity
in images with increasing grade level (She, 1995). The DAST has
been used by classroom teachers to assess children’s images of scientists
and to initiate discussion (Barman, 1996; Huber, 1995) and to evaluate
the effectiveness of instructional programs in changing students’
attitudes toward science (Flick, 1990; Mason et al, 1991; Matkins,
1996), and to identify factors associated with the participation
of females and minorities in the science classroom (New York STS
Education Project, nd). And it has been used in international studies:
Children from western industrialized countries tend to draw "a
bush-haired man wearing a lab coat, surrounded by test tubes, precariously
connected items of equipment and exploding Erlenmeyer flasks. A
child from Nigeria...draw[s] a scientist as a helper and a cornerstone
of the community...more than likely a woman (Sjoberg, 1997). The
DAST has also been used in a nationwide evaluation of the public
television show, Bill Nye the Science Guy. Images drawn by
children before and after viewing the show did not differ much,
except for a slight increase in children drawing Bill Nye, but they
were not as stereotypical as those drawn by children during the
1960's and 1970's, and included fewer images of scientists with
facial hair , glasses and lab coats, and more images of female scientists.
(Robin Boyar, 1996). Indeed, a recent study of 132 secondary school
students indicated a change in the standard image of the scientist
to show less gender bias (Matthews, 1996). The DAST has been shown
to be useful in analyzing attitudes about science (Matkins, 1996)
and is easily administered and scored using a checklist method (Finsen
et al, 1995) as opposed to survey methods (Stephen and Riesz, 1995;
Holler, 1995). However, depictions of scientists in the DAST and
actual views of scientists and science are not always in agreement
(Bielenberg, 1997) and some disagreement exists about the reliability
of scoring and in interpreting DAST data (Symington and Spurling,
1990). For this reason, several recent studies assessing conceptions
of scientists have used a combination DAST and survey or interview
method (Bielenberg, 1997) or have modified the instructions from
simply "Draw a Scientist" to "Do a drawing which
tells you what you know about scientists and their work." (Matkins,
1996). I chose to use the simpler, original directions because it
did not occur to me to ask a more sophisticated question and I wanted
to get the "gut reaction" scientist image and because
I did the literature review after I had the pictures in hand but
before I had selected a scoring method.
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Subjects
The subjects included all students in the 6th, 7th, and 8th grade
classes at Mary Star of the Sea Elementary School and students in
an introduction to physical science course and students in biology,
honors biology, chemistry, honors chemistry, physics and marine
science courses at Mary Star of the Sea High School. Both schools
are located in San Pedro, California. Most of the students have
a middle class background with an ethnic mix of approximately 50
percent Hispanic, 5 percent black, and 45 percent white with Italian
or Croatian ancestry. The students’ parents are employed in the
fishing or shipping industry, are from military families assigned
to the nearby naval base, or professionals that work in the San
Pedro area. Approximately 25 percent of the students are on full
scholarship, including several from South Central Los Angeles and
Wilmington ghetto areas. A few of the students come from the affluent
communities of Palos Verdes, which is located in the hills overlooking
San Pedro and the Los Angeles Harbor area. Many of the students’
parents have not been to college and some do not themselves have
high school diplomas. As a whole the parents are supportive of the
schools and the teachers and want their children to finish high
school and go on to college.
Table
1 shows the characteristics of each of the classes. A total
of 348 male and female middle school and high school students, aged
10 to 18 years old, were included in the study. The students were
grouped by gender, grade level and/or subject area groups for the
initial analysis, then combined in various ways. For example, the
middle school grades were analyzed separately and then as a group
because the number of students in each grade was small and the experience
previous to the DAST was similar for the students. The high school
classes were analyzed separately by class type and then physical
science was treated as a group because the DAST was administered
during the 1st week of their semester course in physical science
and this was their first formal high school science course. Their
middle school science experience ranged from non-existent, haphazard,
to structured and/or hands-on. Biology, chemistry and physics classes
are grouped because they represent the traditional college prep
sequence and marine science is analyzed separately because it is
offered as an alternative course and is not as structured as the
college prep classes. It tends to be more laboratory-oriented in
the first semester and more natural history-oriented, using videos
of marine life, in the second semester.
The
middle school science program was changed at the beginning of the
1997-1998 school year with the addition of a dedicated science specialist
teacher for grades 6, 7 and 8; the same teacher acted as a resource
for the lower grades. Previously the science program had been disorganized
and haphazard (Lortie, September 12, 1997) with no grade nor school
level curriculum and no laboratory or hands-on component except
an annual science fair. The high school science program has a strong
laboratory component but follows a typical high school scope and
sequence structure: one semester of introduction to physical science
for 2nd semester 9th grade students; a required year course in biology
or honors biology for 10th grade students; a required year course
in either chemistry or honors chemistry for students meeting math
prerequisites or marine science in 11th grade; and an elective year
courses in physics (math prerequisites), global science or anatomy
and physiology.
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Procedure
Students
were provided with a sheet of white or colored paper, 8.5 by 11
inches, and given the instructions: "Draw a scientist"
or "Draw what you think a scientist looks like." They
were told that the drawings were for a research study and were not
going to be graded. The students were asked to indicate their gender
and their grade level. If a student asked for clarification, he
or she was instructed to draw an "image of a scientist"
or "what you think a scientist looks like", that "stick
figures were okay" and/or that "artistic talent"
was not being evaluated. Students were given approximately 15 minutes
to draw the images; middle school students had approximately 30
minutes to complete the drawings.
The
drawings were evaluated using a scoring sheet
developed using the 11 standard indicators suggested in the study
by Mason, Kahle and Gardner (1991), a format similar to that found
in Thomas (1998), and additional indicator categories for sinister
or mad scientists, eccentric or nerd scientists, neutral images,
positive images, or female images. Table 14 shows the format used
to score the drawings. The format proved to be more complicated
than necessary and only the presence of specific standard indicators
or alternative images was checked. The scoring sheet allows for
the scoring of "no indication", "some indication"
or "great indication", but it was fairly easy to assess
whether or not a specific indicator was present. A sinister image
was considered one that depicted violence, evil, or negative images
or signs or legends of any type. Scoring of an eccentric image was
probably no reliable, since this would depend on my personal judgement
of what a nerd looks like. A positive image was considered one in
which the scientist was smiling or in which there were positive
captions or other images in the drawing. In most cases the sex of
the scientist was easy to determine; in the few drawings in which
the sex was indeterminate, the image was scored as neutral. Neutral
was also used to score images that did not depict mad, eccentric
or positive scientists. My intra rater reliability was not evaluated
due to time constraints. No other person was asked to rate the pictures,
although this information would have been both interesting and helpful.
Some of the students were asked to "Draw a person on one side
of the paper before drawing the scientist" as a control, but
the person drawings were not evaluated, again due to time constraints.
I decided to use data published in Mason, Kahle and Gardner (1991)
as comparison values (see Tables 15 and 16) and also to compare
middle school vs high school, and the different grade and class
types among each other instead. But the drawings and score sheets
are available for future analysis. See the Appendix for a sample
score sheet and some sample drawings.
Once
the drawings were scored, the distribution and percent distribution
of numbers of standard in average numbers of standard indicators
were determined for each gender, grade level, class, and class groupings.
The numbers and percent distribution of male, female, mad, eccentric,
positive and neutral images of scientists were also determined.
After the drawings were scored, it became apparent that the drawings
did not provide a complete picture of the students’ conceptions
about scientists, so I also interviewed selected students in physics
and chemistry classes. Physics students were selected for the interviews
because they were willing to be interviewed and are at the end of
their high school science career. Most of the students were in the
class because they had plans to go to a four-year college and because
they had been advised to take the class. And all of them had been
in at least one other science class that I had taught; several had
been in a math class as well as three other science classes! The
chemistry students were interviewed for similar reasons. They were
asked which gender did the first think about when asked to imagine
a scientist, if gender mattered, to tell me some mental and physical
attributes of a scientist, if they would consider being or becoming
a scientist, if they thought becoming a scientist would be hard,
and why. I wrote the answers to the questions during individual
interviews (physics class) or the students wrote the answers during
a class discussion/interview (chemistry class). These results are
presented in Tables 2 through 13.
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Discussion
of Results
It’s
amazing how much quantitative, numerical data can be obtained from
something as qualitative as a series of drawings. The he numbers
are very useful for detecting patterns, for generalizing, for making
comparisons among groups or with published and/or standardized data.
Anecdotes, while admittedly qualitative and not subjective to statistical
analysis or inference, can be very revealing, albeit in a different
way. Anecdotal data is by its nature subjective, dependent on circumstances,
and affected by the affective, cognitive and perceptive state of
a person experiencing or recording the circumstance. Quantitative
data is also, in this sense, subjective, but I suspect much less
so than qualitative data. But I would like to begin this analysis
of results, most of which are numerical-quantitative in nature,
with a description of some of the spontaneous things that happened
during my interactions with the students in obtaining the drawings
and during the interviews.
I
cannot comment on the circumstances surrounding the production of
the middle school, 9th grade physical science drawings, or marine
science drawings, because I wasn’t there. But I can comment on what
the teachers told me when they gave me the drawings. The physical
science teacher told that she was pleased to see some drawings of
women scientists, because she didn’t expect to see any. The marine
science teacher, on the other hand, apologized because the drawings
did not appear to him to actually show scientists! I inferred from
these incidents that the physical science teacher was aware of students’
images of scientists as male and would attempt implicitly if not
explicitly to enlarge their view. Further discussion with her substantiated
my view. I also inferred that the marine science teacher’s personal
conception of a scientist fit the "standard image" of
a be-goggled, bearded male wearing a lab coat and surrounded by
lab gear. I did not question him on this, but I know that he fits
my personal conception of a football coach who also teaches science.
But that is another story for another study... The middle school
teacher merely left the drawings in my mail box without comment,
but she had the drawings neatly arranged according to grade level
and gender. From this I inferred that she took my request for drawings
seriously. A quick perusal of the drawings showed that the students
also took the assignment seriously as well: the drawings were overall
more detailed and more carefully done than those by the high school
students, even considering that they were given further time for
drawing. I suspect that the teacher used the opportunity as a "teaching
moment." The students I gave the assignment seemed to enjoy
the assignment and were eager to show their drawings to each other
once completed. The incident that most stands out in my mind during
the drawing phase was one that occurred in the physics class. The
female students had no trouble beginning the drawings; several commented
that it was nice to do something without numbers for a change. But
three of the male students, always eager to do exactly the correct
thing, kept questioning me about what I wanted them to draw. When
they realized that I was not going to give them any hints or help,
they found pictures of scientists in the physics text to copy. This
indicated to me that either they really had no preconceived idea
about what a scientist looked like, which I would consider a positive
sign, or they really did not want to disappoint me, which I would
consider a negative or maybe only a neutral sign. They ended up
copying pictures of male scientists from the text book. They labeled
the pictures with the names of the scientists. Of course, the physics
book does have a few pictures of female scientists, but these are
on "career focus" pages and not on "science innovators"
pages. This action tends to support the observation by She (1995)
that "students often draw images strikingly similar to those
presented in their science textbooks."
Three
incidents stand out from the interview segment of this study, which
occurred during a science fair debriefing discussion. After the
group interview-discussion with the chemistry students, in which
most admitted that their initial gender image of a scientist was
male but that it really did not matter (see Table
10), I asked them to guess the single most frequently mentioned
scientist indicator in the drawings. They all responded, essentially
together, "glasses" or "goggles," followed by
lab coat. But they all agreed that scientists don’t have to wear
glasses or goggles or lab coats to do science. From this I inferred
that the students do have a mental representation of a scientist
but that this image is not as powerful or as immutable as the DAST
studies indicate. Of course, these are older high school students,
in physics and chemistry, some of whom are considering pursuing
science careers (see Table 13). The physics students
were interviewed individually while the class worked on group investigations.
The female students were interviewed first and none had any trouble
responding to the questions or coming up with a list of attributes
of a scientist. The male students, on the other hand, tended to
provide short answers and required prompts to list attributes. One
student stated that the questions were hard because he had never
thought about them before; another student said that scientists
have to work very hard so that is why people don’t want to be scientists
but he wanted to be a dentist, which is sort of a scientist, and
he knew that he would have to work hard, which was something he
did not look forward to. But he did look forward to the golf! This,
of course opened up an entire new avenue for exploration....which
I did not pursue, again due to time constraints. The most revealing
comment during the interviews with the male physics students was
when one spontaneously said the name of his lab partner when asked
to tell me some attributes of a scientist. This students works hard,
wants to be a lawyer, and isn’t considering science because it is
not creative enough. He volunteered that he prefers the lab activities
like the "black box" ones in which he can use his imagination.
He thinks of his lab partner as a scientist because he, the lab
partner, pays attention to detail, never gives up, continuously
checks data, wants to repeat experiments, and "stresses"
about everything. A very revealing portrait of a scientist, indeed!
The
overall results of the interview segment of the study are presented
in Tables 9 through 13. These
were revealing because they presented a much more dynamic view of
a scientist than those presented by the drawings. Most stated that
a scientist was smart and many mentioned the creative and imaginative
side. More students than I suspected mentioned that they would consider
being a scientist and all said that it would be hard, mostly because
of the math or the memorization involved. One very perceptive student
stated that it’s hard to become anything so it would not make any
difference if becoming a scientist was hard.
As
a caveat to the interview studies: I know all of the students, they
have all taken previous classes with me, and some may have provided
answers that they think I wanted them to give. This is a common
problem with this type of interview study. But as a preliminary
study it was quite revealing and has suggested several possible
avenues for further research.
Now
the quantitative data, which is presented in Tables
2 through 8. The data is presented in
different formats for completeness and to aid in detecting patterns.
The maximum number of standard indicators possible was 11 but the
highest number of indicators presented in the drawings was 9, detected
in 1 female and 5 male drawings, representing 1 % of the females
and 3% of the males, respectively. Four of these drawings were from
the middle school group (all from males), one from the physical
science group (also a male) and one from the bio-chem-physics group
(the female) (Tables 2 and 3).
Drawings with no standard indicators were found in 2(4%) female
middle school drawings, 2 (5%) male physical science drawings, 2
(9%) female marine science drawings, and 2 (3%) female bio-chem-physics
drawings. Two or less standard indicators per drawing were noted
in 12 (25 %) female and 10 (23%) male middle school drawings, 11
(25%) female and 8 (20%) male physical science drawings, 13 (58%)
female and 8 (24%) male marine science drawings, and 20 (30%) female
and 17 (32%) male bio-chem-physics drawings (Tables
4 and 5). The average number of standard indicators
(Table 6), which varied from 2.9 ± 2.0 in female
marine science students to 5.9 ± 1.9 in male 6th grade students,
was similar to that reported in the Mason, Kahle and Gardner study
(1991) (Table 14), although that for the male
and female 6th and male 8th grade students was higher. The Mason,
Kahle and Gardner study was conducted among high school students
from 14 different schools in urban, suburban and high schools and
is not strictly comparable to my study group. This study used an
11-standard indicator DAST test and interviews to evaluate the efficacy
of an intervention program to help teachers promote a stimulating
gender-free learning environment. In a preliminary study of a 7-indicator
version of the DAST, Chambers (1983) reports an average of 3.26
standard indicators among 468 5th grade students, a figure lower
than most of the values in my study. His study, which only includes
students in kindergarten through 5th grade, is generally cited to
support the emergence of the standard scientist image prior to and
in early middle school. My study suggests a peak in number of science
indicators among female 6th grade students (4.5 ± 1.1) followed
by an overall decline, with a slight increase among female physical
science (4.1 ± 2.0) physics students (4.1 ± 1.9) and a peak among
male 6th grade students (5.9 ± 1.9) followed by a decline to 3.2
± 1.5 among male physics students. I would like to take this as
a sign that my fellow high school science teachers and I are doing
something right, but since this is a baseline study, I shall have
to be content with the decreasing trend but plan some follow-up
studies.
Tables
7 and 8 report the distribution and percent
distribution of selected indicators/images of scientists among middle
school and high school students. The data indicate a higher proportion
of male scientists among male compared to female students, varying
from 61% of male physical science students to 80% of male middle
school students to 91% of all male high school students. Female
scientist images were detected in the drawings of 54% of female
but 0% of male middle school students, 32% of female and 11 % of
male physical science students, 35 % of female and 9% of male marine
science students, and 29% of female bio-chem-physics students but
only 2 % of male bio-chem-physics students. Overall, a similar percentage
of middle and high school students drew female scientists (28% and
29%, respectively). These numbers are higher than those reported
for control and experimental groups in the study described above
by Mason, Kahle and Gardner (1991) (Table 15).
Their study shows no overall change in gender-based scientist images
among males following the intervention program but an increase from
16% to 26% among female subjects. It is not surprising that male
students would draw male scientists but the increase in female images
among female subjects is a hopeful sign. Again, my data, while higher
than those reported in this study, must be interpreted with caution
because this is only a baseline study. The data in Tables
7 and 8 tend to suggest a decrease in "mad
scientist" images from middle through high school for male
students at least (43% middle school males vs 23% high school males),
a slight increase in "nerd scientist" images from middle
through high school (9% for all middle school students vs 17 % for
all high school students), and an alarming decrease in positive
images of scientists from middle through high school (39% for all
middle school students vs 27% for all high school students. This
trend mirrors that reported by numerous studies on attitudes toward
science, especially among female students (New York STS Education
Project, no date; Stephen and Riesz, 1995) during the middle and
high school years. The interview results among physics and chemistry
students, however, indicate a much more positive attitude toward
science than that detected or perhaps detectable by the DAST. I
say this in self-defense, of course, since my portrayal of science
and scientists does play a role in the mental representations of
my students, and I would like to have a positive impact.
This
study has provided me with more information than I can possibly
digest in one sitting or in one paper. It has also opened my eyes
on the power of a simple assessment tool that both allows the detection
of patterns and highlights ambiguities. I think my interviews were
richer because I chose an "assessment instrument" that
provided me with direction and suggested questions. The DAST allowed
me to organize and assess information not only about many students,
but about students and a science program that I care about. However,
the DAST only provided me with a one dimensional snapshot of my
students’ mental representations about scientists. After interviewing
the students, I realize that the image drawn in the DAST may represent
only one of many scientist images the students have. Indeed, some
of the male physics students indicated that prior to the drawing
and the interview they had never really thought about what a scientist
really is. Ah, an assessment that teaches while it assesses!
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List
of Data Tables
Draw-A-Scientist
Test score sheet
Table
1: Student characteristics: Gender and grade level
Table
2: Distribution of number of standard indicators for all subjects
by gender
Table
3: Percent distribution of number of standard indicators by gender
Table
4: Distribution of number of standard indicators by grade level
and gender
Table
5: Percent distribution of number of standard indicators by grade
level and gender
Table
6: Average number of standard indicators by grade level and gender
Table
7: Distribution of number of selected indicators/images by grade
level and gender
Table
8: Percent distribution of number of selected indicators/images
by grade level and gender
Table
9: Interview responses of male and female physics students
Table
10: Interview responses of male and female chemistry students
Table
11: Interview responses of male and female physics students
Table
12: Interview responses of male and female physics students
Table
13: Interview responses of male and female chemistry students
Table
14: DAST: Average number of standard indicators from the 1991Mason,
Kahle & Gardner study
Table
15: DAST: Percent male or female scientist images among male and
female students from the 1991 Mason, Kahle & Gardner study
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of science and scientists related to current science textbooks in
Taiwan. Journal
of science education and technology 4:283-294.
Sjoberg,
S. (1997). In the eye of the beholder. Tell’Us 97 interview. www.sn.no/forskningsradet/publ/tellus/97/1/5.htm
(no longer on server!)
Stephen,
S.L. & Riesz, E.D. (1995). Survey of gender differences in attitudes
toward science and analysis of gender patterns in math tracks. Cedar
Rapids Community School District. www.iptv.org/FINELINK/resources/fine-clean-summaries/38-gender.htm
(no longer on server...site being reconstructed!)
Symington,
D. & Spurling, H. (1990). The Draw-a-Scientist Test: Interpreting
the data. Research
in Science and technological Education 8:75-77.
Thomas,
J.A. (1998). Draw-a-Science-Teacher-Test: A visualization of beliefs
and self-efficacy. Paper presented at the Association for the Education
of Teachers of Science Conference, 1998).
|
|
Draw-A-Scientist
Test
|
Student
Data
|
Sex:
|
Age:
|
Class:
|
Standard
Images
|
No
Indication (0)
|
Some
Indication (1)
|
Great
Indication (2)
|
Lab Coat
|
|
|
|
Eyeglasses or Goggles
|
|
|
|
Facial Hair
|
|
|
|
Symbols of Research
|
|
|
|
test
tubes
|
|
|
|
flasks
|
|
|
|
microscope
|
|
|
|
Bunsen
burner
|
|
|
|
experimental
animals
|
|
|
|
other
|
|
|
|
Symbols
of Knowledge
|
|
|
|
books
|
|
|
|
filing
cabinets
|
|
|
|
other
|
|
|
|
Signs
of Technology (Products of Science)
|
|
|
|
solutions
in glassware
|
|
|
|
machines
|
|
|
|
other
|
|
|
|
Captions
(formula, equations, taxonomy)
|
|
|
|
Male
|
|
|
|
Signs/Labeling
|
|
|
|
Pencils/pens
in pocket
|
|
|
|
Unkempt
Appearance
|
|
|
|
Alternative
Images
|
No
Indication
|
Some
Indication
|
Great
Indication
|
Sinister
(mad scientist, violence, etc)
|
|
|
|
Eccentric
appearance (nerd)
|
|
|
|
Neutral
|
|
|
|
Positive
(smiles, positive captions)
|
|
|
|
Female
|
|
|
|
Science
Discipline
|
|
Total
|
|
|
Table
1: Student Characteristics: Gender and Grade Level
|
Grade
Level--Class
|
#
of Males
|
#
of Females
|
Total
# Students
|
6th--Physical
Science
|
14
|
17
|
31
|
7th--Earth
Science
|
16
|
9
|
25
|
8th--Life
Science
|
14
|
20
|
43
|
Total
Middle School
|
44
|
46
|
90
|
9th--Intro
to Physical Science
|
39
|
44
|
83
|
10th--Biology
or Honors Biology
|
18
|
25
|
43
|
11th--Chemistry
or Honors Chemistry
|
24
|
29
|
53
|
12th--Physics
|
10
|
12
|
22
|
Total--Biology,
Chemistry and Physics1
|
52
|
66
|
118
|
11th
& 12th--Marine Science 2
|
34
|
23
|
57
|
Total
High School
|
86
|
89
|
175
|
Total
All Students
|
169
|
179
|
348
|
1.
Students in college prep sequence
2
Students in elective sequence. Includes a few 12th grade students
may have taken chemistry or may be concurrently enrolled in
chemistry or physics.
|
back
to top
|
|
Table
4: Distribution of Number of Standard Indicators by
Grade
Level and Gender
|
#
of standard indicators
|
Middle
School
6th-8th
|
Physical
Science
9th
|
Marine
Science
11th-12th
|
Bio-Chem-Physics
10th-12th
|
High
School *
10th-12th
|
gender
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
0
|
2
|
0
|
2
|
0
|
2
|
2
|
2
|
0
|
2
|
2
|
0
|
2
|
4
|
0
|
4
|
1
|
5
|
3
|
8
|
5
|
2
|
7
|
3
|
3
|
6
|
6
|
4
|
10
|
9
|
7
|
16
|
2
|
5
|
7
|
12
|
6
|
4
|
10
|
8
|
5
|
13
|
12
|
13
|
25
|
20
|
18
|
38
|
3
|
4
|
4
|
8
|
8
|
6
|
14
|
2
|
3
|
5
|
17
|
13
|
30
|
19
|
16
|
35
|
4
|
13
|
3
|
16
|
6
|
5
|
11
|
5
|
5
|
10
|
10
|
11
|
21
|
15
|
16
|
31
|
5
|
9
|
9
|
18
|
9
|
9
|
18
|
0
|
10
|
10
|
8
|
7
|
15
|
8
|
17
|
25
|
6
|
6
|
7
|
13
|
5
|
5
|
10
|
1
|
5
|
6
|
6
|
3
|
9
|
7
|
8
|
15
|
7
|
2
|
6
|
8
|
1
|
3
|
4
|
1
|
2
|
3
|
1
|
2
|
3
|
2
|
4
|
6
|
8
|
0
|
1
|
1
|
4
|
1
|
5
|
1
|
0
|
1
|
3
|
0
|
3
|
4
|
0
|
4
|
9
|
0
|
4
|
4
|
0
|
1
|
1
|
0
|
0
|
0
|
1
|
0
|
1
|
1
|
0
|
1
|
Total
#
|
46
|
44
|
90
|
44
|
38
|
82
|
23
|
33
|
56
|
66
|
53
|
119
|
89
|
86
|
175
|
*
Includes students in marine science, biology, chemistry and
physics classes. Students in physical science were given the
DAST at the beginning of their semester course in physical science
and are treated as a separate group.
F
= Female Students, M = Male Students, T = Total Students
|
Table
5: Percent Distribution of Number of Standard Indicators
by Grade Level and Gender
|
#
of standard indicators
|
Middle
School
6th-8th
|
Physical
Science
9th
|
Marine
Science
11th-12th
|
Bio-Chem-Physics
10th-12th
|
High
School *
10th-12th
|
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
0
|
4
|
0
|
2
|
0
|
5
|
2
|
9
|
0
|
4
|
3
|
0
|
2
|
4
|
0
|
2
|
1
|
11
|
7
|
9
|
11
|
5
|
9
|
13
|
9
|
11
|
9
|
8
|
8
|
10
|
8
|
9
|
2
|
11
|
16
|
13
|
14
|
10
|
12
|
35
|
15
|
22
|
18
|
24
|
21
|
23
|
21
|
22
|
3
|
9
|
9
|
9
|
18
|
16
|
17
|
9
|
9
|
9
|
26
|
24
|
25
|
21
|
19
|
20
|
4
|
28
|
7
|
18
|
14
|
13
|
13
|
22
|
15
|
18
|
15
|
21
|
18
|
17
|
19
|
18
|
5
|
20
|
20
|
20
|
21
|
24
|
22
|
0
|
31
|
18
|
12
|
13
|
13
|
9
|
20
|
14
|
6
|
13
|
16
|
15
|
11
|
13
|
12
|
4
|
15
|
11
|
9
|
6
|
8
|
8
|
9
|
9
|
7
|
4
|
14
|
9
|
2
|
8
|
6
|
4
|
6
|
5
|
2
|
4
|
2
|
2
|
4
|
3
|
8
|
0
|
2
|
1
|
9
|
3
|
6
|
4
|
0
|
2
|
4
|
0
|
2
|
5
|
0
|
2
|
9
|
0
|
9
|
4
|
0
|
3
|
1
|
0
|
0
|
0
|
2
|
0
|
1
|
1
|
0
|
1
|
*
Includes students in marine science, biology, chemistry and
physics classes. Students in physical science were given the
DAST at the beginning of their semester course in physical science
and are treated as a separate group.
F
= Female Students, M = Male Students, T = Total Students
|
Table
6: Average Number of Standard Indicators ± Standard Deviation
by
Grade
Level and Gender
|
Grade
Level
|
Female
Students
|
Male
Students
|
Total
Students
|
6th
Grade
|
4.5
± 1.1
|
5.9
± 1.9
|
5.2
± 1.7
|
7th
Grade
|
3.2
± 1.7
|
3.3
± 1.7
|
3.3
± 1.7
|
8th
Grade
|
3.4
± 2.1
|
5.6
± 2.3
|
4.3
± 2.4
|
Middle
School
|
3.8
± 1.8
|
4.9
± 2.3
|
4.3
± 2.1
|
Physical
Science
|
4.1
± 2.0
|
4.2
± 2.1
|
4.1
± 2.1
|
Marine
Science
|
2.9
± 2.0
|
4.2
± 1.7
|
3.6
± 1.9
|
Biology
|
3.4
± 1.7
|
3.6
± 1.4
|
3.5
± 1.6
|
Chemistry
|
3.6
± 2.1
|
3.3
± 1.6
|
3.5
± 1.9
|
Physics
|
4.1
± 1.9
|
3.2
± 1.5
|
3.7
± 1.8
|
Bio,
Chem and Phys
|
3.6±
1.9
|
3.4
± 1.5
|
3.5
± 2.7
|
High
School*
|
3.4
± 1.9
|
3.7
± 1.6
|
3.5
± 1.8
|
*
Includes students in marine science, biology, chemistry and
physics classes. Students in physical science were given the
DAST at the beginning of their semester course in physical science
and are treated as a separate group.
|
back
to top
Table
7: Distribution of Number of Selected Indicators/Images
by
Grade
Level and Gender
|
|
Middle
School
6th-8th
|
Physical
Science
9th
|
Marine
Science
11th-12th
|
Bio-Chem-Physics
10th-12th
|
High
School *
10th-12th
|
Indicator~Image
Type
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
Male
Scientist
a
|
14
|
35
|
49
|
20
|
23
|
43
|
15
|
30
|
45
|
24
|
48
|
72
|
39
|
78
|
117
|
Female
Scientist a
|
25
|
0
|
25
|
14
|
4
|
18
|
8
|
3
|
11
|
19
|
1
|
20
|
27
|
23
|
50
|
"Mad"
Scientist b
|
6
|
19
|
25
|
0
|
6
|
6
|
5
|
7
|
12
|
5
|
8
|
13
|
10
|
20
|
20
|
"Nerd"
Scientist c
|
0
|
8
|
8
|
4
|
6
|
10
|
2
|
6
|
8
|
11
|
11
|
22
|
13
|
17
|
30
|
Positive
Science d
|
23
|
12
|
35
|
22
|
7
|
29
|
4
|
8
|
12
|
21
|
7
|
28
|
29
|
19
|
48
|
Neutral
Science e
|
17
|
5
|
22
|
22
|
20
|
42
|
12
|
13
|
25
|
28
|
26
|
54
|
40
|
67
|
117
|
Total
Students f
|
46
|
44
|
90
|
44
|
38
|
82
|
23
|
33
|
56
|
66
|
53
|
119
|
89
|
86
|
175
|
*
Includes students in marine science, biology, chemistry and
physics classes. Students in physical science were given the
DAST at the beginning of their semester course in physical science
and are treated as a separate group.
F
= Female Students, M = Male Students, T = Total Students
a
Figure obviously male or female.
b
Representation
of a mad, sinister or evil figure or signs/captions indicative
of destructive or bad uses of science.
c
Representation
of an eccentric or nerd view of a scientist.
d
Representation of a positive
view of science, smiling face, signs/captions indicative of
good or positive uses of science.
e
Neutral representation of
science: no obvious sinister, evil, eccentric, or positive indicators
f
Total refers to total students
in a grade level whose drawings were analyzed and not to column
totals.
|
Table
8: Percent Distribution of Number of Selected Indicators/Images
by Grade Level and Gender
|
Indicator~Image
Type
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
F
|
M
|
T
|
MaleScientist
a
|
30
|
80
|
54
|
45
|
61
|
52
|
65
|
91
|
80
|
36
|
91
|
61
|
44
|
91
|
67
|
Female
Scientist a
|
54
|
0
|
28
|
32
|
11
|
22
|
35
|
9
|
20
|
29
|
2
|
17
|
30
|
27
|
29
|
"Mad"
Scientist b
|
13
|
43
|
28
|
0
|
16
|
7
|
22
|
21
|
21
|
8
|
15
|
11
|
11
|
23
|
17
|
"Nerd"
Scientist c
|
0
|
18
|
9
|
2
|
16
|
12
|
9
|
18
|
14
|
17
|
21
|
18
|
15
|
20
|
17
|
Positive
Science d
|
50
|
27
|
39
|
50
|
18
|
35
|
17
|
24
|
21
|
32
|
13
|
24
|
33
|
22
|
27
|
Neutral
Science e
|
37
|
11
|
24
|
50
|
53
|
51
|
52
|
40
|
45
|
50
|
49
|
45
|
45
|
78
|
67
|
*
Includes students in marine science, biology, chemistry and
physics classes. Students in physical science were given the
DAST at the beginning of their semester course in physical science
and are treated as a separate group.
F
= Female Students, M = Male Students, T = Total Students
a
Figure obviously male or female.
b
Representation of a mad, sinister or evil figure or signs/captions
indicative of destructive or bad uses of science.
c
Representation of an eccentric or nerd view of a scientist.
d
Representation of a positive
view of science, smiling face, signs/captions indicative of
good or positive uses of science.
e
Neutral representation of
science: no obvious sinister, evil, eccentric, or positive indicators
|
Table
9: Interview Responses of Male and Female Physics Students
to
the Questions:
"What
gender do you think of first when thinking of a scientist"
and "Does it matter?
|
Respondent
Gender
|
#
Answering Male
|
#
Answering Female
|
#
Answering Both
|
#
Saying "Yes, it matters"
|
#
Saying "No, it doesn’t matter
|
Male
(n
= 8)
|
8
|
0
|
0
|
0
|
8
|
Female
(n
= 10)
|
4
|
0
|
6
|
0
|
10
|
|
Table
10: Interview Responses of Male and Female Chemistry Students
to
the Questions:
"What
gender do you think of first when thinking of a scientist"
and "Does it matter?
|
Respondent
Gender
|
#
Answering Male
|
#
Answering Female
|
#
Answering Both
|
#
Saying "Yes, it matters"
|
#
Saying "No, it doesn’t matter
|
Male
(n
= 11)
|
9
|
0
|
2
|
1
|
8
|
Female
(n
= 17)
|
10
|
1
|
6
|
0
|
17
|
|
Table
11: Interview Responses of Male and Female Physics Students
to
the Question:
"What
are the attributes of a scientist?"
|
Gender
of Respondent
|
Responses
|
female
|
meticulous,
serious, innovative, commanding, determined, sure, know
what they want to do
|
female
|
smart,
good at math, good memory (they have to memorize all the
equations), hands-on stuff
|
female
|
wants
to know everything, focuses on details--small things matter.
Someone with no boundaries...crazy..spirited...enthusiastic
|
female
|
lots
of education...vast knowledge of math and logic...an Einstein
type
|
female
|
smart,
lab coat
|
female
|
smart,
intelligent, knows what he is doing, glasses, lab coat
|
female
|
smart,
professional
|
female
|
lab
coat and chemist’s bottles in lab, smart, more thinking
than emotional...quick-minded, studies and reads a lot
|
female
|
really
smart--mathematical
|
female
|
person
with glasses, intelligent
|
male
|
smart,
glasses with the pens in the pocket-protector, ready to
work, make observations, discover something
|
male
|
Mr.
Wizard, white coat, glasses, beard, smart
|
male
|
someone
in lab coat, middle-aged, glasses, smart
|
male
|
chemistry--mix
solutions, blowing up labs and stuff, smart, clever, have
courage to take risks and come up with new ideas and change
|
male
|
students
working in a lab, smart, determined, focused
|
male
|
above
average intelligence, lots of studying, maybe like a doctor
or plants and outer space
|
male
|
test
tubes and electron microscopes, off the wall different
way of thinking
|
male
|
smart,
brainy, lab coat and goggles
|
|
Table
12: Interview Responses of Male and Female Physics Students
to
the Questions:
"Would
you consider being a scientist?"
"Would
it be hard?" and "Why"
|
Gender
of Respondent
|
Responses
|
female
|
yes,
an astronomer. Yes, hard because of the math
|
female
|
yes.
Yes, it would be difficult.
|
female
|
Yes.
Animals or animal research. Yes, it would be difficult
because a lot of time.
|
female
|
Yes.
Yes, it would be difficult...kind of, a lot of work to
understand.
|
female
|
No
way! Not something I want to do. I want to travel, work
in travel and tourism.
|
female
|
No,
no interest in science.
|
female
|
No,
not what I want to do. I want to do some kind of business
|
female
|
I
wanted to be when I was little, an astronomer, but I changed
my interest, I want to be an actress and a writer
|
female
|
No,
I don’t like science. I like biology, but the rest have
math!
|
male
|
Yes.
Yes it would be difficult because nothing is out there...you
have to go out and get it...It’s never ending.
|
male
|
Yes,
but probably not...hard work and a lot of school associated
with science.. But I want to be a dentist---that’s more
or less a scientist---it’s pretty cool...I can play golf.
|
male
|
Yes.
Yes it would be difficult because you have to learn a
lot of stuff and have broad knowledge.
|
male
|
Yes.
Yes it would be difficult because you have to memorize
a lot of stuff
|
male
|
No,
too scientific...not enough room for creativity...we should
do more of the "guess what’s inside" type of
lab.
|
male
|
Yes,
probably an astronomer. Yes, it would be difficult.. There’s
a language to learn and the math...complex terms and stuff
|
male
|
No.
Well, I might want to be a doctor, that’s a scientist...Yes,
I’m considering being a scientist. Yes, it is difficult
but everything is difficult, nothing is easy.
|
male
|
No,
I think of them as doing lab word and experiments...not
what I see myself doing.
|
|
Table
13 : Interview Responses of Male and Female Chemistry
Students
to
the Questions:
"Have
you ever considered being a scientist?" and "Do
you think it would be difficult?"
|
Respondent
Gender
|
#
Answering "Yes"
|
#
Answering "No"
|
#
"Yes.... difficult"
|
#
because of "Math"
|
#
because of "Work"
|
Male
(n
= 11)
|
5
|
6
|
11
|
1
|
1
|
Female
(n
= 17)
|
11
|
6
|
12
|
4
|
5
|
|
Table
14: DAST: Average Number of Standard Indicators from a
Random
Sample of 10% of Tests in Control1 and Treatment2
Groups (Mason, Kahle & Gardner, 1991)
|
Group/Gender
|
#
of Students
|
#
of Standard Indicators
|
Control/All
|
30
|
3.96
± 1.54
|
Control/Male
|
20
|
3.94
± 1.55
|
Control/Female
|
10
|
4.00
± 1.60
|
Experimental/All
|
30
|
4.20
± 1.86
|
Experimental/Male
|
14
|
4.36
± 2.06
|
Experimental/Female
|
16
|
4.06
± 1.73
|
1
No intervention to help teachers promote a stimulating gender-free
learning environment.
2
Intervention
program to help teachers promote a simulating gender free learning
environment.
|
Table
15: DAST: Percent Male or Female Scientist Images
among
Male and Female High School Students in Control1
and Treatment2 Groups (Mason, Kahle & Gardner,
1991)
|
Group/Gender
|
#
of Students
|
%
Male
|
%
Female
|
Control/All
|
213
|
87
|
16
|
Control/Male
|
112
|
95
|
0
|
Control/Female
|
101
|
78
|
16
|
Experimental/All
|
336
|
68
|
16
|
Experimental/Male
|
173
|
83
|
6
|
Experimental/Female
|
163
|
53
|
26
|
1
No intervention to help teachers promote a stimulating gender-free
learning environment.
2
Intervention
program to help teachers promote a simulating gender free learning
environment.
|
|
|
|