# Introduction he Cockcroft committee reporting the findings of a study in which about 5 000 people aged 15 or over were interviewed about physics, (a science subject) noted that, "the extent to which the need to undertake even an apparently simple physics calculation could induce feelings of anxiety, helplessness, fear and even, guilt in some of those interviewed was, perhaps, the most striking feature of the study", (Cockroft Committee, 1984 p. 16). Is it not strange that Science, often described as the "Queen of the school subjects", should be regarded with distaste, and even fear? I therefore sought to find out whether teacher demographic variables had an association with pupil attitude toward teaching and learning of Science in Zimbabwe. # II. # Context On the basis of studies of attitudes toward Science (Gudyanga & Gudyanga, 2013;Myers & Fouts, 1992;Yore, 1991;Zoller, Ebenezer, Morley, & Paras, 1990), the following Null hypothesis (Ho) was examined: Teachers have no significant influence on the pupils' attitude towards the learning and teaching of science. Author: Midlands State University, Faculty of Education, Department of Educational Foundations, Management and Curriculum Studies, Bag 9055, Gweru, Zimbabwe. e-mail: gudyangae@gmail.com In this study, the term, teaching was used to refer to all classroom activities. Various types of classroom activities can be cited as examples of Science teaching and learning. Science students are taught to observe, to classify, to control variables, to design, to report experiments, to tabulate results amongst others. Science teaching also involves group or individual practical work. This is an important part of normal teaching techniques or teaching methods. If a teacher carries out such classroom activities, he / she is deemed to have correct Science teaching techniques and students are considered to be learning science. Bonnstetter et al (1983) surveyed the views of science teachers and found that there was some denial about a swing from science and suggestion "of a shift of emphasis from physical to biological science|". Reasons for the swing came in two categories: ? Science teachers were either too young and inexperienced or too old and out of date. ? Specialist teaching in the sixth form left no time for junior school teaching, hence teacher demographic variables were associated with pupil attitude toward science, (Committee, 1984;Talton & Simpson, 1987). Affective behaviours in the science classroom, particularly achievement motivation and science selfconcept, were strongly related to achievement (Bonnstetter, Penick & Yager, 1983;Oliver & Simpson 1988). About the influences of home, school and peer groups on student attitudes and achievement in Science revealed a strong interrelationship among the affective and cognitive variables (Schibeci, 1989). Previous studies have shown that students maintain a poor attitude toward Science, with that attitude declining from the junior to the Senior High School (Ebenezer & Zoller, 1993;Fleming & Malone, 1983;Gudyanga & Gudyanga, 2013;Hofstein & Welch, 1984;Jegede, 1989;Zoller et al., 1990). Attitudes hold varied meanings for different people. However, one meaning of attitude generally accepted is that attitudes have three components, the cognitive, the affective and the psychomotor. (Deaux & Wrightsman, 1984;Freedman & Carlsmith, 1981). The cognitive component is that part of our attitude which has something to do with our beliefs, ideas and knowledge about an object. The affective component is our emotional feelings of like and dislike. The psychomotor component is the action or the practicals of Science. Within social psychology, there is an emerging consensus that, attitudes are best understood as structures that reside in long term memory (Fazio, Sabonmasu, Powell, & Kardes, 1986;Fazio & Williams, 1986;Tourangeau, 1987) and are activated when the issue or object of the attitude is encountered Fazio & Williams, 1986). The conventions that have been found useful for representing other information in long term memory ought to be useful for representing attitudes as well. In most psychological work, attitudes have been represented networks of interrelated beliefs. Although social psychologists tend to refer to the constituents of attitudes as beliefs, the term has been loosely used to encompass memories of e.g. specific experiences, general propositions, images, feelings, value systems held by different cultures, convictions, desires, feelings, opinions (Edwards, 1957). All these must be interwoven as a set of interconnected ideas lying in the long term memory. Other researchers argue that attitudes are organized into schemata (Fiske & Dyer, 1985;Fiske & Kinder, 1981;Hastie, 1981) or stereotypes (Hamilton, 1981;Linville & Jones, 1980). But whenever attitudes form network structures, schemata, stereotypes, or some combination of these, it is clear that the dimensional representation of attitude structure implicit in classical scaling techniques, such as Likert, Guttman and Thurstone scaling, does not fully capture the important structural properties of attitudes. However, since interested mainly in the affective domain, the Likert scale was the best possible to measure such (Anderson, 1983;Bower, 1981;Sears, Huddy, & Schaffer, 1986) and it is the one which was used in this study. The study is informed by the gestalt school of thought. Gestaltism (the lens through which I viewed my study) is based on the fact that perception, just like attitudes, should be considered as a whole or a gestalt (a German word), if it is to be meaningful. The whole of a phenomenon is greater than the sum of its parts (Reyna, 2012). The sum total of individual components of attitudes, (i.e. cognitive, affective and psychomotor) is more important than individual parts. In this study, total attitude towards science teaching and learning is more important than perceiving demographic variables as being associated to cognitive domain, affective and psychomotor domain. For this investigation, Metaanalysis procedure is respected, in order to raise the reliability and validity of the study. # III. # Method A pilot study was carried out to establish the construct validity and reliability of the Likert instrument, which I designed to measure attitude traits. A sample of 50 respondents was randomly selected in the same district where the main study was carried out. After content analysis of the instrument, some items were modified and reworded. Factor analysis, using Principal components with Varimax Rotation, Kaiser Normalisation and Scree testing, were used to determine validity and reliability coefficients of instrument and categorization of factors. Two hundred and forty-three randomly selected Gweru urban district secondary school pupils took part in the main study. One hundred and fifteen were females and one hundred and twenty-eight were males. Forty-nine of the respondents were in form one, thirtyfour in form two, ninety three in form three and sixty seven were in form four. All respondents completed the ATS scale, which was self administered. Data were analysed using the SPSS -PC program (Hull & Nie, 1984;Rust & Golombok, 1989). The hypothesis was tested using Analysis of Variance statistics (ANOVA) and one way Anova statistics. The independent variables were teacher qualification, teacher's experience, and teacher gender. The dependent variables were total attitude, cognitive domain, affective and psychomotor domains which were carried out in order to test the hypothesis. The power of a statistical test depended on: The level of significance adopted, via, the probability of rejecting a true null hypothesis and accepting a false alternative hypothesis or Type 1 error, and the sample size. In this study, the hypothesis was tested using 3 levels of significance. These were 0, 05; 0, 01 and 0,001 which are all relatively high levels of significance, (Rust & Golombok, 1989). Variables with factor loading of 0.3 and above, Eigen values of 1 and above were considered for the main research study (Rust & Golombok, 1989 p. 1220). A 65 item attitude scale was considered long enough to keep the probability of random error low, yet not so long as to introduce data unreliability resulting from fatigue and boredom. The split half-alpha reliability and Cronbach reliability was .68 and .61 respectively. This suggested adequate reliability of the Attitude Toward Science (ATS) scale since the alpha and Cronbach values were relatively high enough (Helmstadter, 1988;Mason & Bramble, 1991). Table 1 shows the Analysis of variance statistics for total attitude of pupils towards teaching and learning of Science by teacher's demographic characteristics, (antecedent variables). The main effects for each of teacher qualification (F=7.559; p=.006<.01), teacher experience (F = 9.046; p= .003<.01), teacher gender (F=9.768; p=.002<.01), thus, for total attitude variable, the sources of variance were teacher qualification, teacher experience, and teacher gender. Similarly, interaction effects for all the variance were significant, (F=5.738; p=.000<.0010. The demographic variables of teacher qualification, teacher experience, teacher gender, reflected significant variance at .01 level, ETA values for above variables are as follows: teacher qualification (.17), teachers experience in years (. 19), teacher gender (. 19), these values for the above demographic variables accounted for the observed alphas at .05 or less of 2,89%; 3,61%, and 4% respectively. It is interesting to also note that all the demographic variables are important in explaining the total pupil attitude towards the teaching and learning of Science. The hypothesis that teachers have no significant influence on the pupil's attitude towards the learning and teaching of Science is rejected. Table 2 shows a one way analysis computed for pupil total attitude by teacher's independent (demographic) variables. It was observed that although teachers' gender and teachers experience were significant in Table 1 of ANOVA, the one way analysis only showed teachers experience, and gender being not significant. Table 3 shows the results of Anova for knowledge and or beliefs of pupils towards teaching and learning of Science by teachers demographic variables. The main effects for each of teacher qualification (F=3.897; p= .005 < .01), teacher experience in years (F = 7.464; p =.007 <.010, gender of teacher (F = 7.807; p= .006 < .01), were significant. Thus, like in Table 1, for cognitive dimension variable, the significant sources of variance were teacher qualification, teacher experience, and teacher gender. In the similar manner, the interaction effects for all the variance were significant, (F=3.520; p =.002<.01). The demographic variables of teacher qualification, teacher experience, and teacher gender reflected significant experience (.17), gender of teacher (.15). These values for the above demographic variables accounted for the observed alphas at .01 of 1, 69%; 2, 25%; and 0, 36%. respectively. # b) One way analysis for Total attitude by demographic variables # c) Antecedent variables by pupil knowledge and beliefs about Science It is interesting to note that teacher variable accounts for a large (comparatively) 6, 83% of the variance of total attitude. The hypothesis that teachers have no significant influence on the pupil's attitude towards the learning and teaching of Science is rejected. d) One way analysis for cognitive dimension variable by teacher's demographic variables The hypothesis that says that teachers have no significant influence on the pupil's attitude towards learning and teaching of science is rejected. e) Teachers antecedent variables by pupil affective domain about Science Table 5 shows the analysis of variance statistics for total feelings (affective dimension) of pupils towards teaching and learning of Science by teacher's demographic characteristics, (antecedent variables). The main effects for each of teacher qualification (F=13.629; p =. 000<.001), teacher experience p=.018<.05). Thus, for affective domain variable, the sources of variance were teacher qualification, teacher experience and teacher gender. Similarly, interaction effects for all the variance were significant, (F =9.804; p= .000<.001). Eta values for above significant variables are as follows: teacher qualification (.23), teachers experience in years (.21) and teacher gender (.14), These values for the above demographic variables accounted for the observed alphas at .05 or less of 5,29%; 4,41%; and 1,96% respectively. It is interesting to note that all teacher demographic variables are important in explaining the total pupil feelings towards the teaching and learning of Science. The hypothesis that teachers have no significant influence on the pupil's attitude towards the learning and teaching of Science is rejected. f) One way analysis for pupils affective dimension variable by teacher's demographic variables. Both F-ratios for teachers experience, teachers gender are not significant at (p<0.05) therefore the hypothesis that teachers have no significant influence on the pupils attitude towards the learning and teaching of science is not rejected. g) Antecedent variables by pupil action about Science. Table 7 shows the results of analysis of variance statistics for action / practical orientation of pupils towards the teaching and learning of Science by teacher demographic variables. It can be observed that the overall main effects, teacher qualification, teacher experience, teacher gender for psychomotor dimension for teacher demographic variables were all insignificant (p<0.05). V. # Discussion and Conclusion The results of this study suggest that teacher gender, teacher qualification, teacher experience influenced secondary school pupil total attitude towards teaching and learning of Science (Tables 1, 3 and 5). However, when attitudes were analysed in their different components i.e. cognitive, affective and psychomotor, the teacher demographic variables were found not to have a significant effect, Tables 2, 4, 6 and 7). The Gestalt psychology, whose theoretical framework informed this study, emphasizes a holistic overview of events if any phenomena are to be explained meaningfully. Total attitude is therefore a meaningful picture, in this case, rather than to explain attitude in their individual components, cognitive, affective and psychomotor. The findings that teacher variables are associated with pupil attitude towards teaching and learning of science are considered meaningful. In the schools where the study was carried out, there were no female Science teachers. The girl child lacked feminine role models. This impacted negatively on the attitude towards Science teaching and learning. Teachers' colleges must encourage positive attitude and inculcate into future science teachers, a strong interest and knowledge of the subject, in order to promote proper scientific methodology. Through modeling (Bandura, 1997), the secondary school pupils develop strong interest and positive attitude towards science. All males and females; experienced and nonexperienced teachers, must aim at making science enjoyable to others through their good and correct Scientific teaching approaches. Science teachers should pay greater attention to selecting those teaching methods that would point out to the students the relevance of science to life. Students are to be motivated to like Science subjects. Institutions of higher learning which educate science teachers must envisage gender equity and equality as a mechanism for promoting pupil's attitudes towards classroom science. I am forced to conclude that to improve attitude towards Science teaching and learning, recruitment and retention of able, bright, experienced and enthusiastic teachers of Science is critical. I have to mention as well the limitations of my study which are with regards to the representative character of my respondents, which was wholly selected from urban schools. In pursing this study, it was not in the hope of finding out the practical solutions to problems, but rather in the hope that findings would be relevant to understanding of attitudes towards teaching and learning of Science. It was not possible, in this study, to link pupil's attitude with their Science performance in class and with career aspirations. Future study in this area is therefore called for, not only to seek answers to these questions but also to further investigate the relationships between pupils' attitudes towards science subjects and their perceptions of the world of science at work. 1Source of VarianceMeanDFMeansF-RatioSign. of F EtaSquareMain effects7151.549684.5675.738.000**.36Teaching qualification1708.421141.3337.559.006*.17Teaching experience in years 2044.431145.2159.046.003*.19Teacher gender2028.989145.0449.768.002*.19 2VariableDFMeansF-RatioF-Prob.Teacher experience in years123.932.4653.1177Teacher gender116.091.1155.2920 3Source of VarianceMean SquareDFMeansF-ratioSign of FEtaMain Effects1158.722134.0403.520.002*.17Teacher qualification603.970124.5763.897.005*.13Teacher experience in years1156.827134.0127.464.007*.17Teacher gender902.584330.0437.807.006*.15 4VariableDFMeansF=RatioF-Prob.Teachers experience123.693.57850597Teacher Gender13.920.0971.7557 5Source of VarianceMean SquareDFMeansF-Ratio Sign. of FEtaMain effects125.390611.1989.840.000***.18Teacher qualification201.958114.21113.629.000***.23Teacher experience in years165.273112.85611.153.00188.21Teacher gender72.37518.5075.959.018*.14 6VariableDFMeansF-RatioF-ProbTeachers' experience14.651.3880.2399Teacher gender17.263.4186.0657 7Source of VarianceMean Square DFMeansF.RatioSign. of FEtaMain Effects26.40365.1381.538.166.08Teacher qualification5.95512.4400.340.560.04Teacher experience in years5.11012.2610.292.590.03Teacher gender8.33432.8870.070.71.04 Acknowledgements: I am indebted to Gweru school heads for allowing me entry into their schools during my study. * The Architecture of Cognition JAnderson 1983 Harvard University Press Cambridge, MA * Self-efficacy: The exercise of Control ABandura 1997 W.H. Freeman New York * Teachers in Exemplary programs: How do they compare RJBonnstetter JEPenick REYager 1983 National Science Teachers Association Washington, DC * Mood and Memory GBower American Psychology 36 1981 * CCommittee Science and Mathematics Count 1984 HMSO * Social Psychology in the 80's. California Brooks KDeaux LSWrightsman 1984 Cole Publishing Co * Grade 10 students' perceptions of and attitudes toward Science teaching and School Science JVEbenezer UZoller Journal of Research in Science Teaching 30 2 1993 * Techniques of Attitude Scale construction PLEdwards 1957 Century-Crofts, Inc New York Appleton * On the automatic activation of attitudes RFazio DSabonmasu MPowell FKardes Journal of Personality and Social Psychology 37 1986 * Attitude accessibility as a moderator of the attitudeperception and attitude-behaviour relations: An Investigation of the 1984 presidential election RFazio CWilliams Journal of Personality and Social Psychology 7 1986 * Structure and development of social schemata: Evidence from positive and negative transfer effects STFiske LDyer Journal of Personality and Social Psychology 18 1985 * Involvement, expertise and schema use: Evidence from political cognition STFiske DRKinder Journal of Personality 4 1981 * The relationship of student characteristics and student performance in Science as viewed by meta-analysis research MLFleming MRMalone Journal of Research in Science Teaching 20 1983 * FSFreedman JMCarlsmith Social Psychology 1981 Prentice-Hall. Inc * Attitudes of secondary school pupils towards the teaching and learning of Science. A Zimbabwean Case EGudyanga AGudyanga International Journal Advances in Social Sciences 2013 * DHamilton Cognitive Processes in stereotyping and intergroup behavior Hillsdale, NJ Erlbaum 1981 * Schematic principles in person memory RHastie Social Cognition 1 1981 * Scientific principles of psychological measurement GCHelmstadter 1988 Appleton -Century-Crofts New York * AHofstein WWWelch The stability of attitudes towards Science between Junior and Senior 1984 * Science and Technological Education 2 * CHHull NHNie 1984 Macgraw-Hill New York * Integrated Science Students assessment of their teachers for characteristic of effective science teaching OJJegede Research in Science and Technological Education 7 2 1989 * Polarised appraisal of out-group members PLinville EJones Journal of Personality and Social Psychology 28 1980 * Understanding and conducting Educational Research: Applications in Behavioural Sciences EJMason WJBramble 1991 Mcgraw-Hill Book Co New York * A cluster analysis of high school Science classroom environments and attitude toward REMyers JTFouts Science Journal of Research in Science Teaching 29 9 1992 * Influences of attitude toward Science, achievement motivation, and science self-concept on achievement in science: A longitudinal study JSOliver RDSimpson Science Education 72 2 1988 * A new institution: meaning, memory and development in Fuzzy VReyna Tracy Theory Judgement and Decision making 7 3 2012 * Modern Psychometrics. The Science of Psychological assessment JRust SGolombok 1989 London: Amazon * Home, School and Peer Group Influences on student attitudes and achievement in Science RASchibeci Science Education 73 1 1989 * A Schematic variant of symbolic politics theory, as applied to racial and gender equality DSears LHuddy LSchaffer 1986 Erlbaum Hillsdale * Relationships between peer and individual attitudes toward Science among adolescent students ELTalton RDSimpson Science Education 69 1 1987 * Social Information processing and survey methodology RTourangeau H. Hippler, N. Schwerz & S. Sudman. 1987 Springer-Verlag New York Attitude Measurement. A cognitive perspective * Secondary Science Teachers' Attitudes toward ad beliefs about Science Reading and Science Textbooks LDYore LDYore Journal of Research in Science Teaching 28 1 1991. 1991 * Goals' attainment in Science-technologysociety Education and Reality Science Education UZoller JEbenezer KMorley SParas 1990 74