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A Discussion of Whether Psychology is a Science

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Published: Dec 16, 2021

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Works Cited

Bunge, M. (2009). Is psychology a unified science? Cognitive Systems Research, 10(2), 162-176.
Craver, C. F. (2007). Explaining the brain: Mechanisms and the mosaic unity of neuroscience. Oxford University Press.
Fuchs, T., & Mahr, A. (2019). Psychology as science: The theoretical framework of psychology as a natural science. In The Routledge Handbook of Philosophy of Empathy (pp. 38-53). Routledge.
Gergen, K. J. (2015). The science of psychology as methodologically embodied skepticism. In The Oxford Handbook of the History of Psychology: Global Perspectives (pp. 225-242). Oxford University Press.
Kuhn, T. S. (2012). The structure of scientific revolutions. University of Chicago Press.
Lambert, A. J. (2013). Toward a positive psychology of religion: Belief science in the postmodern era. Journal of Humanistic Psychology , 53(2), 195-215.
Popper, K. R. (2002). The logic of scientific discovery. Routledge.
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Wadsworth Cengage Learning.
Thagard, P. (2012). The cognitive science of science: Explanation, discovery, and conceptual change. MIT Press.
Wundt, W. (1897). Outlines of Psychology. Wilhelm Engelmann.

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Psychology’s Status as a Science: Peculiarities and Intrinsic Challenges. Moving Beyond its Current Deadlock Towards Conceptual Integration

School of Human Sciences, University of Greenwich, Old Royal Naval College, Park Row, London, SE10 9LS UK

Psychology holds an exceptional position among the sciences. Yet even after 140 years as an independent discipline, psychology is still struggling with its most basic foundations. Its key phenomena, mind and behaviour, are poorly defined (and their definition instead often delegated to neuroscience or philosophy) while specific terms and constructs proliferate. A unified theoretical framework has not been developed and its categorisation as a ‘soft science’ ascribes to psychology a lower level of scientificity. The article traces these problems to the peculiarities of psychology’s study phenomena, their interrelations with and centrality to everyday knowledge and language (which may explain the proliferation and unclarity of terms and concepts), as well as to their complex relations with other study phenomena. It shows that adequate explorations of such diverse kinds of phenomena and their interrelations with the most elusive of all—immediate experience—inherently require a plurality of epistemologies, paradigms, theories, methodologies and methods that complement those developed for the natural sciences. Their systematic integration within just one discipline, made necessary by these phenomena’s joint emergence in the single individual as the basic unit of analysis, makes psychology in fact the hardest science of all. But Galtonian nomothetic methodology has turned much of today’s psychology into a science of populations rather than individuals, showing that blind adherence to natural-science principles has not advanced but impeded the development of psychology as a science. Finally, the article introduces paradigmatic frameworks that can provide solid foundations for conceptual integration and new developments.

Psychology’s Status as a Discipline

Psychology holds an exceptional position among the sciences—not least because it explores the very means by which any science is made, for it is humans who perceive, conceive, define, investigate, analyse and interpret the phenomena of the world. Scientists have managed to explore distant galaxies, quantum particles and the evolution of life over 4 billion years—phenomena inaccessible to the naked eye or long deceased. Yet, psychology is still struggling with its most basic foundations. The phenomena of our personal experience, directly accessible to everyone in each waking moment of life, remain challenging objects of research. Moreover, psychical phenomena are essential for all sciences (e.g., thinking). But why are we struggling to scientifically explore the means needed to first make any science? Given the successes in other fields, is this not a contradiction in itself?

This article outlines three key problems of psychology (poor definitions of study phenomena, lack of unified theoretical frameworks, and an allegedly lower level of scientificity) that are frequently discussed and at the centre of Zagaria, Andò and Zennaro’s ( 2020 ) review. These problems are then traced to peculiarities of psychology’s study phenomena and the conceptual and methodological challenges they entail. Finally, the article introduces paradigmatic frameworks that can provide solid foundations for conceptual integration and new developments.

Lack of Proper Terms and Definitions of Study Phenomena

Introductory text books are supposed to present the corner stones of a science’s established knowledge base. In psychology, however, textbooks present definitions of its key phenomena—mind (psyche) and behaviour—that are discordant, ambiguous, overlapping, circular and context-dependent, thus inconclusive (Zagaria et al. 2020 ). Tellingly, many popular text books define ‘mind’ exclusively as ‘brain activity’, thus turning psychology’s central object of research into one of neuroscience. What then is psychology as opposed to neuroscience? Some even regard the definition of mind as unimportant and leave it to philosophers, thus categorising it as a philosophical phenomenon and shifting it again out of psychology’s own realm. At the same time, mainstream psychologists often proudly distance themselves from philosophers (Alexandrova & Haybron, 2016 ), explicitly referring to the vital distinction between science and philosophy. Behaviour, as well, is commonly reduced to ill-defined ‘activities’, ‘actions’ and ‘doings’ and, confusingly, often even equated with mind (psyche), such as in concepts of ‘inner and outer behaviours’ (Uher 2016b ). All this leaves one wonder what psychology is actually about.

As if to compensate the unsatisfactory definitional and conceptual status of its key phenomena in general, psychology is plagued with a chaotic proliferation of terms and constructs for specific phenomena of mind and behaviour (Zagaria et al. 2020 ). This entails that different terms can denote the same concept (jangle-fallacies; Kelley 1927 ) and the same terms different concepts (jingle-fallacies; Thorndike 1903 ). Even more basically, many psychologists struggle to explain what their most frequent study phenomena—constructs—actually are (Slaney and Garcia 2015 ). These deficiencies and inconsistencies involve a deeply fragmented theoretical landscape.

Lack of Conceptual Integration Into Overarching Frameworks

Like no other science, psychology embraces an enormous diversity of established epistemologies, paradigms, theories, methodologies and methods. Is that a result of the discipline’s unparalleled complexity and the therefore necessary scientific pluralism (Fahrenberg 2013 ) or rather an outcome of mistaking this pluralism for the unrestrained proliferation of perspectives (Zagaria et al. 2020 )?

The lack of a unified theory in psychology is widely lamented. Many ‘integrative theories’ were proposed as overarching frameworks, yet without considering contradictory presuppositions underlying different theories. Such integrative systems merely provide important overviews of the essential plurality of research perspectives and methodologies needed in the field (Fahrenberg 2013 ; Uher 2015b ). Zagaria and colleagues ( 2020 ) suggested evolutionary psychology could provide the much-needed paradigmatic framework. This field, however, is among psychology’s youngest sub-disciplines and its most speculative ones because (unlike biological phenomena) psychical, behavioural and social phenomena leave no fossilised traces in themselves. Their possible ancestral forms can only be reconstructed indirectly from archaeological findings and investigations of today’s humans, making evolutionary explorations prone to speculations and biases (e.g., gender bias in interpretations of archaeological findings; Ginge 1996 ). Cross-species comparative psychology offers important correctives through empirical studies of today’s species with different cognitive, behavioural, social and ecological systems and different degrees of phylogenetic relatedness to humans. This enables comparisons and hypothesis testing not possible when studying only humans but still faces limitations given human ancestors’ unavailability for direct study (Uher 2020a ).

But most importantly, evolutionary psychology does not provide consistent terms and concepts either; its key constructs ‘psychological adaptations’ and ‘evolved psychological mechanisms’ are as vague, ambiguous and ill-defined as ‘mind’ and ‘behaviour’. Moreover, the strong research heuristic formulated in Tinbergen’s four questions on the causation, function, development and evolution of behaviour is not an achievement of evolutionary psychology but originates from theoretical biology, thus again from outside of psychology.

Psychology—a ‘Soft Science’ in Pre-scientific Stage?

The pronounced inconsistencies in psychology’s terminological, conceptual and theoretical landscape have been likened to the pre-scientific stage of emerging sciences (Zagaria et al. 2020 ). Psychology was therefore declared a ‘soft science’ that can never achieve the status of the ‘hard sciences’ (e.g., physics, chemistry). This categorisation implies the belief that some sciences have only minor capacities to accumulate secured knowledge and lower abilities to reach theoretical and methodological consensus (Fanelli and Glänzel 2013 ; Simonton 2015 ). In particular, soft sciences would have only limited abilities to apply ‘the scientific method’, the general set of principles involving systematic observation, experimentation and measurement as well as deduction and testing of hypotheses that guide scientific practice (Gauch 2015 ). The idea of the presumed lack of methodological rigor and exactitude of ‘soft sciences’ goes back to Kant ( 1798 / 2000 ) and is fuelled by recurrent crises of replication, generalisation, validity, and other criteria considered essential for all sciences.

But classifying sciences into ‘hard’ and ‘soft’, implying some would be more scientific than others, is ill-conceived and misses the point why there are different sciences at all. Crucially, the possibilities for implementing particular research practices are not a matter of scientific discipline or their ascribed level of scientificity but solely depend on the particular study phenomena and their properties (Uher 2019 ). For study phenomena that are highly context-dependent and continuously changing in themselves, such as those of mind, behaviour and society, old knowledge cannot have continuing relevance as this is the case for (e.g., non-living) phenomena and properties that are comparably invariant in themselves. Instead, accurate and valid investigations require that concepts, theories and methods must be continuously adapted as well (Uher 2020b ).

The classification of sciences by the degree to which they can implement ‘the scientific method’ as developed for the natural sciences is a reflection of the method-centrism that has taken hold of psychology over the last century, when the craft of statistical analysis became psychologists’ dominant activity (Lamiell 2019 ; Valsiner 2012 ). The development of ever more sophisticated tools for statistical analysis as well as of rating scales enabling the efficient generation of allegedly quantitative data for millions of individuals misled psychologists to adapt their study phenomena and research questions to their methods, rather than vice versa (Omi 2012 ; Toomela and Valsiner 2010 ; Uher 2013 ). But methods are just a means to an end. Sciences must be phenomenon-centred and problem-centred, and they must develop epistemologies, theories, methodologies and methods that are suited to explore these phenomena and the research problems in their field.

Psychology’s Study Phenomena and Intrinsic Challenges

Psychology’s exceptional position among the sciences and its key problems can be traced to its study phenomena’s peculiarities and the conceptual and methodological challenges they entail.

Experience: Elementary to All Empirical Sciences

Experience is elementary to all empirical sciences, which are experience-based by definition (from Greek empeiria meaning experience). The founder of psychology, Wilhelm Wundt, already highlighted that every concrete experience has always two aspects, the objective content given and individuals’ subjective apprehension of it—thus, the objects of experience in themselves and the subjects experiencing them. This entails two fundamental ways in which experience is treated in the sciences (Wundt 1896a ).

Natural sciences explore the objective contents mediated by experience that can be obtained by subtracting from the concrete experience the subjective aspects always contained in it. Hence, natural scientists consider the objects of experience in their properties as conceived independently of the subjects experiencing them, using the perspective of mediate experience (mittelbare Erfahrung; Wundt 1896a ). Therefore, natural scientists develop theories, approaches and technologies that help minimise the involvement of human perceptual and conceptual abilities in research processes and filter out their effects on research outcomes. This approach is facilitated by the peculiarities of natural-science study phenomena (of the non-living world, in particular), in which general laws, immutable relationships and natural constants can be identified that remain invariant across time and space and that can be measured and mathematically formalised (Uher 2020b ).

Psychologists, in turn, explore the experiencing subjects and their understanding and interpretation of their experiential contents and how this mediates their concrete experience of ‘reality’. This involves the perspective of immediate experience (unmittelbare Erfahrung), with immediate indicating absence of other phenomena mediating their perception (Wundt 1896a ). Immediate experience comprises connected processes, whereby every process has an objective content but is, at the same time, also a subjective process. Inner experience, Wundt highlighted, is not a special part of experience but rather constitutes the entirety of all immediate experience; thus, inner and outer experience do not constitute separate channels of information as often assumed (Uher 2016a ). That is, psychology deals with the entire experience in its immediate subjective reality. The inherent relation to the perceiving and experiencing subject— subject reference —is therefore a fundamental category in psychology. Subjects are feeling and thinking beings capable of intentional action who pursue purposes and values. This entails agency, volition, value orientation and teleology. As a consequence, Wundt highlighted, research on these phenomena can determine only law-like generalisations that allow for exceptions and singularities (Fahrenberg 2019 ). Given this, it is meaningless to use theories-to-laws ratios as indicators of scientificity (e.g., in Simonton 2015 ; Zagaria et al. 2020 ).

Constructs: Concepts in Science AND Everyday Psychology

The processual and transient nature of immediate experience (and many behaviours) imposes further challenges because, of processual entities, only a part exists at any moment (Whitehead 1929 ). Experiential phenomena can therefore be conceived only through generalisation and abstraction from their occurrences over time, leading to concepts, beliefs and knowledge about them , which are psychical phenomena in themselves as well but different from those they are about (reflected in the terms experien cing versus experien ce ; Erleben versus Erfahrung; Uher 2015b , 2016a ). Abstract concepts, because they are theoretically constructed, are called constructs (Kelly 1963 ). All humans implicitly develop constructs (through abduction, see below) to describe and explain regularities they observe in themselves and their world. They use constructs to anticipate the unknown future and to choose among alterative actions and responses (Kelly 1963 ; Valsiner 2012 ).

Constructs about experiencing, experience and behaviour form important parts of our everyday knowledge and language. This entails intricacies because psychologists cannot simply put this everyday psychology aside for doing their science, even more so as they are studying the phenomena that are at the centre of everyday knowledge and largely accessible only through (everyday) language. Therefore, psychologists cannot invent scientific terms and concepts that are completely unrelated to those of everyday psychology as natural scientists can do (Uher 2015b ). But this also entails that, to first delineate their study phenomena, psychologists need not elaborate scientific definitions because everyday psychology already provides some terms, implicit concepts and understanding—even if these are ambiguous, discordant, circular, overlapping, context-dependent and biased. This may explain the proliferation of terms and concepts and the lack of clear definitions of key phenomena in scientific psychology.

Constructs and language-based methods entail further challenges. The construal of constructs allowed scientists to turn abstract ideas into entities, thereby making them conceptually accessible to empirical study. But this entification misguides psychologists to overlook their constructed nature (Slaney and Garcia 2015 ) by ascribing to constructs an ontological status (e.g., ‘traits’ as psychophysical mechanisms; Uher 2013 ). Because explorations of many psychological study phenomena are intimately bound to language, psychologists must differentiate their study phenomena from the terms, concepts and methods used to explore them, as indicated by the terms psych ical versus psych ological (from Greek -λογία, -logia for body of knowledge)—differentiations not commonly made in the English-language publications dominating in contemporary psychology (Lewin 1936 ; Uher 2016a ).

Psychology’s Exceptional Position Among the Sciences and Philosophy

The concepts of mediate and immediate experience illuminate psychology’s special interrelations with the other sciences and philosophy. Wundt conceived the natural sciences (Naturwissenschaften; e.g., physics, physiology) as auxiliary to psychology and psychology, in turn, as supplementary to the natural sciences “in the sense that only together they are able to exhaust the empirical knowledge accessible to us“ (Fahrenberg 2019 ; Wundt 1896b , p. 102). By exploring the universal forms of immediate experience and the regularities of their connections, psychology is also the foundation of the intellectual sciences (Geisteswissenschaften, commonly (mis)translated as humanities; e.g., philology, linguistics, law), which explore the actions and effects emerging from humans’ immediate experiences (Fahrenberg 2019 ). Psychology also provides foundations for the cultural and social sciences (Kultur- und Sozialwissenschaften; e.g., sociology; anthropology), which explore the products and processes emerging from social and societal interactions among experiencing subjects who are thinking and intentional agents pursuing values, aims and purposes. Moreover, because psychology considers the subjective and the objective as the two fundamental conditions underlying theoretical reflection and practical action and seeks to determine their interrelations, Wundt regarded psychology also a preparatory empirical science for philosophy (especially epistemology and ethics; Fahrenberg 2019 ).

Psychology’s exceptional position at the intersection with diverse sciences and with philosophy is reflected in the extremely heterogeneous study phenomena explored in its diverse sub-disciplines, covering all areas of human life. Some examples are individuals’ sensations and perceptions of physical phenomena (e.g., psychophysics, environmental psychology, engineering psychology), biological and pathological phenomena associated with experience and behaviour (e.g., biopsychology, neuropsychology, clinical psychology), individuals’ experience and behaviour in relation to others and in society (e.g., social psychology, personality psychology, cultural psychology, psycholinguistics, economic psychology), as well as in different periods and domains of life (e.g., developmental psychology, educational psychology, occupational psychology). No other science explores such a diversity of study phenomena. Their exploration requires a plurality of epistemologies, methodologies and methods, which include experimental and technology-based investigations (e.g., neuro-imaging, electromyography, life-logging, video-analyses), interpretive and social-science investigations (e.g., of texts, narratives, multi-media) as well as investigations involving self-report and self-observation (e.g., interviews, questionnaires, guided introquestion).

All this shows that psychology cannot be a unitary science. Adequate explorations of so many different kinds of phenomena and their interrelations with the most elusive of all—immediate experience—inherently require a plurality of epistemologies, paradigms, theories, methodologies and methods that complement those developed for the natural sciences, which are needed as well. Their systematic integration within just one discipline, made necessary by these phenomena’s joint emergence in the single individual as the basic unit of analysis, makes psychology in fact the hardest science of all.

Idiographic and Nomothetic Strategies of Knowledge Generation

Immediate experience, given its subjective, processual, context-dependent, and thus ever-changing nature, is always unique and unprecedented. Exploring such particulars inherently requires idiographic strategies, in which local phenomena of single cases are modelled in their dynamic contexts to create generalised knowledge from them through abduction. In abduction, scientists infer from observations of surprising facts backwards to a possible theory that, if it were true, could explain the facts observed (Peirce 1901 ; CP 7.218). Abduction leads to the creation of new general knowledge, in which theory and data are circularly connected in an open-ended cycle, allowing to further generalise, extend and differentiate the new knowledge created. By generalising from what was once and at another time as well, idiographic approaches form the basis of nomothetic approaches, which are aimed at identifying generalities common to all particulars of a class and at deriving theories or laws to account for these generalities. This Wundtian approach to nomothetic research, because it is case-by-case based , allows to create generalised knowledge about psychical processes and functioning, thus building a bridge between the individual and theory development (Lamiell 2003 ; Robinson 2011 ; Salvatore and Valsiner 2010 ).

But beliefs in the superiority of natural-science principles misled many psychologists to interpret nomothetic strategies solely in terms of the Galtonian methodology, in which many cases are aggregated and statistically analysed on the sample-level . This limits research to group-level hypothesis testing and theory development to inductive generalisation, which are uninformative about single cases and cannot reveal what is, indeed, common to all (Lamiell 2003 ; Robinson 2011 ). This entails numerous fallacies, such as the widespread belief between-individual structures would be identical to and even reflect within-individual structures (Molenaar 2004 ; Uher 2015d ). Galtonian nomothetic methodology has turned much of today’s psychology into a science exploring populations rather than individuals. That is, blind adherence to natural-science principles has not advanced but, instead, substantially impeded the development of psychology as a science.

Moving Psychology Beyond its Current Conceptual Deadlock

Wundt’s opening of psychology’s first laboratory marked its official start as an independent science. Its dynamic developments over the last 140 years testify to psychology’s importance but also to the peculiarities of its study phenomena and the intricate challenges that these entail for scientific explorations. Yet, given its history, it seems unlikely that psychology can finally pull itself out of the swamps of conceptual vagueness and theoretical inconsistencies using just its own concepts and theories, in a feat similar to that of the legendary Baron Münchhausen. Psychology can, however, capitalise on its exceptional constellation of intersections with other sciences and philosophy that arises from its unique focus on the individual. Although challenging, this constitutes a rich source for perspective-taking and stimulation of new developments that can meaningfully complement and expand its own genuine achievements as shown in the paradigm outlined now.

The Transdisciplinary Philosophy-of-Science Paradigm for Research on Individuals (TPS-Paradigm)

The Transdisciplinary Philosophy-of-Science Paradigm for Research on Individuals ( TPS-Paradigm 2 ) is targeted toward making explicit and scrutinising the most basic assumptions that different disciplines make about research on individuals to help scientists critically reflect on; discuss and refine their theories and practices; and to derive ideas for new developments (therefore philosophy-of–science ). It comprises a system of interrelated philosophical, metatheoretical and methodological frameworks that coherently build upon each other (therefore paradigm ). In these frameworks, concepts from various lines of thought, both historical and more recent, and from different disciplines (e.g., psychology, life sciences, social sciences, physical sciences, metrology, philosophy of science) that are relevant for exploring research objects in (relation to) individuals were systematically integrated, refined and complemented by novel ones, thereby creating unitary frameworks that transcend disciplinary boundaries (therefore transdisciplinary ; Uher 2015a , b , 2018c ).

The Philosophical Framework: Presuppositions About Research on Individuals

The philosophical framework specifies three sets of presuppositions that are made in the TPS-Paradigm about the nature and properties of individuals and the phenomena studied in (relations to) them as well as about the notions by which knowledge about them can be gained.

All science is done by humans and therefore inextricably entwined with and limited by human’s perceptual and conceptual abilities. This entails risks for particular fallacies of the human mind (e.g., oversimplifying complexity, Royce 1891 ; reifying linguistic abstractions, Whitehead 1929 ). Scientists researching individuals face particular challenges because they are individuals themselves, thus inseparable from their research objects. This entails risks for anthropocentric, ethnocentric and egocentric biases influencing metatheories and methodologies (Uher 2015b ). Concepts from social, cultural and theoretical psychology, sociology, and other fields (e.g., Gergen 2001 ; Valsiner 1998 ; Weber 1949 ) were used to open up meta-perspectives on research processes and help scientists reflect on their own presuppositions, ideologies and language that may (unintentionally) influence their research.
Individuals are complex living organisms , which can be conceived as open (dissipative) and nested systems. On each hierarchical level, they function as organised wholes from which new properties emerge not predictable from their constituents and that can feed back to the constituents from which they emerge, causing complex patterns of upward and downward causation. With increasing levels of organisation, ever more complex systems emerge that are less rule-bound, highly adaptive and historically unique. Therefore, dissecting systems into elements cannot reveal the processes governing their functioning and development as a whole; assumptions on universal determinism and reductionism must be rejected. Relevant concepts from thermodynamics, physics of life, philosophy, theoretical biology, medicine, psychology, sociology and other fields (e.g., Capra 1997 ; Hartmann 1964 ; Koffka 1935 ; Morin 2008 ; Prigogine and Stengers 1997 ; Varela et al. 1974 ; von Bertalanffy 1937 ) about dialectics, complexity and nonlinear dynamic systems were used to elaborate their relevance for research on individuals.
The concept of complementarity is applied to highlight that, by using different methods, ostensibly incompatible information can be obtained about properties of the same object of research that are nevertheless all equally essential for an exhaustive account of it and that may therefore be regarded as complementary to one another. Applications of this concept, originating from physics (wave-particle dilemma in research on the nature of light; Bohr 1937 ; Heisenberg 1927 ), to the body-mind problem emphasise the necessity for a methodical dualism to account for observations of two categorically different realities that require different frames of reference, approaches and methods (Brody and Oppenheim 1969 ; Fahrenberg 1979 , 2013 ; Walach 2013 ). Complementarity was applied to specify the peculiarities of psychical phenomena and to derive methodological concepts (Uher, 2016a ). It was also applied to develop solutions for the nomothetic-idiographic controversy in ‘personality’ research (Uher 2015d ).

These presuppositions underlie the metatheoretical and the methodological framework.

Metatheoretical Framework

The metatheoretical framework formalises a phenomenon’s accessibility to human perception under everyday conditions using three metatheoretical properties: internality-externality, temporal extension, and spatiality conceived complementarily as physical (spatial) and “non-physical” (without spatial properties). The particular constellations of their forms in given phenomena were used to metatheoretically define and differentiate from one another various kinds of phenomena studied in (relation to) individuals: morphology, physiology, behaviour, psyche, semiotic representations (e.g., language), artificial outer-appearance modifications (e.g., clothing) and contexts (e.g., situations; Uher 2015b ).

These metatheoretical concepts allowed to integrate and further develop established concepts from various fields to elaborate the peculiarities of the phenomena of the psyche 3 and their functional connections with other phenomena (e.g., one-sided psyche-externality gap; Uher 2013 ), to trace their ontogenetic development and to explore the fundamental imperceptibility of others’ psychical phenomena and its role in the development of agency, language, instructed learning, culture, social institutions and societies in human evolution (Uher 2015a ). The metatheoretical definition of behaviour 4 enabled clear differentiations from psyche and physiology, and clarified when the content-level of language in itself constitutes behaviour, revealing how language extends humans’ behavioural possibilities far beyond all non-language behaviours (Uher 2016b ). The metatheoretical definition of ‘personality’ as individual-specificity in all kinds of phenomena studied in individuals (see above) highlighted the unique constellation of probabilistic, differential and temporal patterns that merge together in this concept, the challenges this entails and the central role of language in the formation of ‘personality’ concepts. This also enabled novel approaches for conceptual integrations of the heterogeneous landscape of paradigms and theories in ‘personality’ research (Uher 2015b , c , d , 2018b ). The semiotic representations concept emphasised the composite nature of language, comprising psychical and physical phenomena, thus both internal and external phenomena. Failure to consider the triadic relations among meaning, signifier and referent inherent to any sign system as well as their inseparability from the individuals using them was shown to underly various conceptual fallacies, especially regarding data generation and measurement (Uher 2018a , 2019 ).

Methodological Framework

The metatheoretical framework is systematically linked to the methodological framework featuring three main areas.

General concepts of phenomenon-methodology matching . The three metatheoretical properties were used to derive implications for research methodology, leading to new concepts that help to identify fallacies and mismatches (e.g., nunc-ipsum methods for transient phenomena, intro questive versus extro questive methods to remedy methodological problems in previous concepts of introspection; Uher 2016a , 2019 ).
Methodological concepts for comparing individuals within and across situations, groups and species were developed (Uher 2015e ). Approaches for taxonomising individual differences in various kinds of phenomena in human populations and other species were systematised on the basis of their underlying rationales. Various novel approaches, especially behavioural ones, were developed to systematically test and complement the widely-used lexical models derived from everyday language (Uher 2015b , c , d , 2018b , c ).
Theories and practices of data generation and measurement from psychology, social sciences and metrology, the science of measurement and foundational to the physical sciences, were scrutinised and compared. These transdisciplinary analyses identified two basic methodological principles of measurement underlying metrological concepts that are also applicable to psychological and social-science research (data generation traceability, numerical traceability; Uher 2020b ). Further analyses explored the involvement of human abilities in data generation across the empirical sciences (Uher 2019 ) and raters’ interpretation and use of standardised assessment scales (Uher 2018a ).

Empirical demonstrations of these developments and analyses in various empirical studies involving humans of different sociolinguistic backgrounds as well as several nonhuman primate species (e.g., Uher 2015e , 2018a ; Uher et al. 2013a , b ; Uher and Visalberghi 2016 ) show the feasibility of this line of research. Grounded in established concepts from various disciplines, it offers many possibilities for fruitful cross-scientific collaborations waiting to be explored in order to advance the fascinating science of individuals.

Author Contributions

I declare I am the sole creator of this research.

Funding Information

This research was conducted without funding.

Compliance with Ethical Standards

I declare to have no conflicting or competing interests.

2 http://researchonindividuals.org .

3 The psyche is defined as the “entirety of the phenomena of the immediate experiential reality both conscious and non-conscious of living organisms” (Uher 2015c , p. 431, derived from Wundt 1896a ).

4 Behaviours are defined as the “external changes or activities of living organisms that are functionally mediated by other external phenomena in the present moment” (Uher 2016b , p. 490).

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1.1 Psychology as a Science

Learning objectives.

Explain why using our intuition about everyday behavior is insufficient for a complete understanding of the causes of behavior.
Describe the difference between values and facts and explain how the scientific method is used to differentiate between the two.

Despite the differences in their interests, areas of study, and approaches, all psychologists have one thing in common: They rely on scientific methods. Research psychologists use scientific methods to create new knowledge about the causes of behavior, whereas psychologist-practitioners , such as clinical, counseling, industrial-organizational, and school psychologists, use existing research to enhance the everyday life of others. The science of psychology is important for both researchers and practitioners.

In a sense all humans are scientists. We all have an interest in asking and answering questions about our world. We want to know why things happen, when and if they are likely to happen again, and how to reproduce or change them. Such knowledge enables us to predict our own behavior and that of others. We may even collect data (i.e., any information collected through formal observation or measurement ) to aid us in this undertaking. It has been argued that people are “everyday scientists” who conduct research projects to answer questions about behavior (Nisbett & Ross, 1980). When we perform poorly on an important test, we try to understand what caused our failure to remember or understand the material and what might help us do better the next time. When our good friends Monisha and Charlie break up, despite the fact that they appeared to have a relationship made in heaven, we try to determine what happened. When we contemplate the rise of terrorist acts around the world, we try to investigate the causes of this problem by looking at the terrorists themselves, the situation around them, and others’ responses to them.

The Problem of Intuition

The results of these “everyday” research projects can teach us many principles of human behavior. We learn through experience that if we give someone bad news, he or she may blame us even though the news was not our fault. We learn that people may become depressed after they fail at an important task. We see that aggressive behavior occurs frequently in our society, and we develop theories to explain why this is so. These insights are part of everyday social life. In fact, much research in psychology involves the scientific study of everyday behavior (Heider, 1958; Kelley, 1967).

The problem, however, with the way people collect and interpret data in their everyday lives is that they are not always particularly thorough. Often, when one explanation for an event seems “right,” we adopt that explanation as the truth even when other explanations are possible and potentially more accurate. For example, eyewitnesses to violent crimes are often extremely confident in their identifications of the perpetrators of these crimes. But research finds that eyewitnesses are no less confident in their identifications when they are incorrect than when they are correct (Cutler & Wells, 2009; Wells & Hasel, 2008). People may also become convinced of the existence of extrasensory perception (ESP), or the predictive value of astrology, when there is no evidence for either (Gilovich, 1993). Furthermore, psychologists have also found that there are a variety of cognitive and motivational biases that frequently influence our perceptions and lead us to draw erroneous conclusions (Fiske & Taylor, 2007; Hsee & Hastie, 2006). In summary, accepting explanations for events without testing them thoroughly may lead us to think that we know the causes of things when we really do not.

Research Focus: Unconscious Preferences for the Letters of Our Own Name

A study reported in the Journal of Consumer Research (Brendl, Chattopadhyay, Pelham, & Carvallo, 2005) demonstrates the extent to which people can be unaware of the causes of their own behavior. The research demonstrated that, at least under certain conditions (and although they do not know it), people frequently prefer brand names that contain the letters of their own name to brand names that do not contain the letters of their own name.

The research participants were recruited in pairs and were told that the research was a taste test of different types of tea. For each pair of participants, the experimenter created two teas and named them by adding the word stem “oki” to the first three letters of each participant’s first name. For example, for Jonathan and Elisabeth, the names of the teas would have been Jonoki and Elioki.

The participants were then shown 20 packets of tea that were supposedly being tested. Eighteen packets were labeled with made-up Japanese names (e.g., “Mataku” or “Somuta”), and two were labeled with the brand names constructed from the participants’ names. The experimenter explained that each participant would taste only two teas and would be allowed to choose one packet of these two to take home.

One of the two participants was asked to draw slips of paper to select the two brands that would be tasted at this session. However, the drawing was rigged so that the two brands containing the participants’ name stems were always chosen for tasting. Then, while the teas were being brewed, the participants completed a task designed to heighten their needs for self-esteem, and that was expected to increase their desire to choose a brand that had the letters of their own name. Specifically, the participants all wrote about an aspect of themselves that they would like to change.

After the teas were ready, the participants tasted them and then chose to take a packet of one of the teas home with them. After they made their choice, the participants were asked why they chose the tea they had chosen, and then the true purpose of the study was explained to them.

The results of this study found that participants chose the tea that included the first three letters of their own name significantly more frequently (64% of the time) than they chose the tea that included the first three letters of their partner’s name (only 36% of the time). Furthermore, the decisions were made unconsciously; the participants did not know why they chose the tea they chose. When they were asked, more than 90% of the participants thought that they had chosen on the basis of taste, whereas only 5% of them mentioned the real cause—that the brand name contained the letters of their name.

Once we learn about the outcome of a given event (e.g., when we read about the results of a research project), we frequently believe that we would have been able to predict the outcome ahead of time. For instance, if half of a class of students is told that research concerning attraction between people has demonstrated that “opposites attract” and the other half is told that research has demonstrated that “birds of a feather flock together,” most of the students will report believing that the outcome that they just read about is true, and that they would have predicted the outcome before they had read about it. Of course, both of these contradictory outcomes cannot be true. (In fact, psychological research finds that “birds of a feather flock together” is generally the case.) The problem is that just reading a description of research findings leads us to think of the many cases we know that support the findings, and thus makes them seem believable. The tendency to think that we could have predicted something that has already occurred that we probably would not have been able to predict is called the hindsight bias , or the tendency to think that we could have predicted something that has already occurred that we probably would not have been able to predict.

Why Psychologists Rely on Empirical Methods

All scientists, whether they are physicists, chemists, biologists, sociologists, or psychologists, use empirical methods to study the topics that interest them. Empirical methods include the processes of collecting and organizing data and drawing conclusions about those data. The empirical methods used by scientists have developed over many years and provide a basis for collecting, analyzing, and interpreting data within a common framework in which information can be shared. We can label the scientific method as the set of assumptions, rules, and procedures that scientists use to conduct empirical research .

Left: Woman wearing an EEG cap, Right: psychologists talking.

Psychologists use a variety of techniques to measure and understand human behavior.

Tim Sheerman-Chase – “Volunteer Duty” Psychology Testing – CC BY 2.0 CAFNR – CC BY-NC 2.0

Although scientific research is an important method of studying human behavior, not all questions can be answered using scientific approaches. Statements that cannot be objectively measured or objectively determined to be true or false are not within the domain of scientific inquiry. Scientists therefore draw a distinction between values and facts. Values are personal statements such as “Abortion should not be permitted in this country,” “I will go to heaven when I die,” or “It is important to study psychology.” Facts are objective statements determined to be accurate through empirical study. Examples are “There were more than 21,000 homicides in the United States in 2009,” or “Research demonstrates that individuals who are exposed to highly stressful situations over long periods of time develop more health problems than those who are not.”

Because values cannot be considered to be either true or false, science cannot prove or disprove them. Nevertheless, as shown in Table 1.1 “Examples of Values and Facts in Scientific Research” , research can sometimes provide facts that can help people develop their values. For instance, science may be able to objectively measure the impact of unwanted children on a society or the psychological trauma suffered by women who have abortions. The effect of capital punishment on the crime rate in the United States may also be determinable. This factual information can and should be made available to help people formulate their values about abortion and capital punishment, as well as to enable governments to articulate appropriate policies. Values also frequently come into play in determining what research is appropriate or important to conduct. For instance, the U.S. government has recently supported and provided funding for research on HIV, AIDS, and terrorism, while denying funding for research using human stem cells.

Although scientists use research to help establish facts, the distinction between values and facts is not always clear-cut. Sometimes statements that scientists consider to be factual later, on the basis of further research, turn out to be partially or even entirely incorrect. Although scientific procedures do not necessarily guarantee that the answers to questions will be objective and unbiased, science is still the best method for drawing objective conclusions about the world around us. When old facts are discarded, they are replaced with new facts based on newer and more correct data. Although science is not perfect, the requirements of empiricism and objectivity result in a much greater chance of producing an accurate understanding of human behavior than is available through other approaches.

Levels of Explanation in Psychology

The study of psychology spans many different topics at many different levels of explanation which are the perspectives that are used to understand behavior . Lower levels of explanation are more closely tied to biological influences, such as genes, neurons, neurotransmitters, and hormones, whereas the middle levels of explanation refer to the abilities and characteristics of individual people, and the highest levels of explanation relate to social groups, organizations, and cultures (Cacioppo, Berntson, Sheridan, & McClintock, 2000).

The same topic can be studied within psychology at different levels of explanation, as shown in Figure 1.3 “Levels of Explanation” . For instance, the psychological disorder known as depression affects millions of people worldwide and is known to be caused by biological, social, and cultural factors. Studying and helping alleviate depression can be accomplished at low levels of explanation by investigating how chemicals in the brain influence the experience of depression. This approach has allowed psychologists to develop and prescribe drugs, such as Prozac, which may decrease depression in many individuals (Williams, Simpson, Simpson, & Nahas, 2009). At the middle levels of explanation, psychological therapy is directed at helping individuals cope with negative life experiences that may cause depression. And at the highest level, psychologists study differences in the prevalence of depression between men and women and across cultures. The occurrence of psychological disorders, including depression, is substantially higher for women than for men, and it is also higher in Western cultures, such as in the United States, Canada, and Europe, than in Eastern cultures, such as in India, China, and Japan (Chen, Wang, Poland, & Lin, 2009; Seedat et al., 2009). These sex and cultural differences provide insight into the factors that cause depression. The study of depression in psychology helps remind us that no one level of explanation can explain everything. All levels of explanation, from biological to personal to cultural, are essential for a better understanding of human behavior.

Figure 1.3 Levels of Explanation

The Challenges of Studying Psychology

Understanding and attempting to alleviate the costs of psychological disorders such as depression is not easy, because psychological experiences are extremely complex. The questions psychologists pose are as difficult as those posed by doctors, biologists, chemists, physicists, and other scientists, if not more so (Wilson, 1998).

A major goal of psychology is to predict behavior by understanding its causes. Making predictions is difficult in part because people vary and respond differently in different situations. Individual differences are the variations among people on physical or psychological dimensions. For instance, although many people experience at least some symptoms of depression at some times in their lives, the experience varies dramatically among people. Some people experience major negative events, such as severe physical injuries or the loss of significant others, without experiencing much depression, whereas other people experience severe depression for no apparent reason. Other important individual differences that we will discuss in the chapters to come include differences in extraversion, intelligence, self-esteem, anxiety, aggression, and conformity.

Because of the many individual difference variables that influence behavior, we cannot always predict who will become aggressive or who will perform best in graduate school or on the job. The predictions made by psychologists (and most other scientists) are only probabilistic. We can say, for instance, that people who score higher on an intelligence test will, on average, do better than people who score lower on the same test, but we cannot make very accurate predictions about exactly how any one person will perform.

Another reason that it is difficult to predict behavior is that almost all behavior is multiply determined , or produced by many factors. And these factors occur at different levels of explanation. We have seen, for instance, that depression is caused by lower-level genetic factors, by medium-level personal factors, and by higher-level social and cultural factors. You should always be skeptical about people who attempt to explain important human behaviors, such as violence, child abuse, poverty, anxiety, or depression, in terms of a single cause.

Furthermore, these multiple causes are not independent of one another; they are associated such that when one cause is present other causes tend to be present as well. This overlap makes it difficult to pinpoint which cause or causes are operating. For instance, some people may be depressed because of biological imbalances in neurotransmitters in their brain. The resulting depression may lead them to act more negatively toward other people around them, which then leads those other people to respond more negatively to them, which then increases their depression. As a result, the biological determinants of depression become intertwined with the social responses of other people, making it difficult to disentangle the effects of each cause.

Another difficulty in studying psychology is that much human behavior is caused by factors that are outside our conscious awareness, making it impossible for us, as individuals, to really understand them. The role of unconscious processes was emphasized in the theorizing of the Austrian neurologist Sigmund Freud (1856–1939), who argued that many psychological disorders were caused by memories that we have repressed and thus remain outside our consciousness. Unconscious processes will be an important part of our study of psychology, and we will see that current research has supported many of Freud’s ideas about the importance of the unconscious in guiding behavior.

Key Takeaways

Psychology is the scientific study of mind and behavior.
Though it is easy to think that everyday situations have commonsense answers, scientific studies have found that people are not always as good at predicting outcomes as they think they are.
The hindsight bias leads us to think that we could have predicted events that we actually could not have predicted.
People are frequently unaware of the causes of their own behaviors.
Psychologists use the scientific method to collect, analyze, and interpret evidence.
Employing the scientific method allows the scientist to collect empirical data objectively, which adds to the accumulation of scientific knowledge.
Psychological phenomena are complex, and making predictions about them is difficult because of individual differences and because they are multiply determined at different levels of explanation.

Exercises and Critical Thinking

Can you think of a time when you used your intuition to analyze an outcome, only to be surprised later to find that your explanation was completely incorrect? Did this surprise help you understand how intuition may sometimes lead us astray?
Describe the scientific method in a way that someone who knows nothing about science could understand it.
Consider a behavior that you find to be important and think about its potential causes at different levels of explanation. How do you think psychologists would study this behavior?

Brendl, C. M., Chattopadhyay, A., Pelham, B. W., & Carvallo, M. (2005). Name letter branding: Valence transfers when product specific needs are active. Journal of Consumer Research, 32 (3), 405–415.

Cacioppo, J. T., Berntson, G. G., Sheridan, J. F., & McClintock, M. K. (2000). Multilevel integrative analyses of human behavior: Social neuroscience and the complementing nature of social and biological approaches. Psychological Bulletin, 126 (6), 829–843.

Chen, P.-Y., Wang, S.-C., Poland, R. E., & Lin, K.-M. (2009). Biological variations in depression and anxiety between East and West. CNS Neuroscience & Therapeutics, 15 (3), 283–294.

Cutler, B. L., & Wells, G. L. (2009). Expert testimony regarding eyewitness identification. In J. L. Skeem, S. O. Lilienfeld, & K. S. Douglas (Eds.), Psychological science in the courtroom: Consensus and controversy (pp. 100–123). New York, NY: Guilford Press.

Fiske, S. T., & Taylor, S. E. (2007). Social cognition: From brains to culture . New York, NY: McGraw-Hill.

Gilovich, T. (1993). How we know what isn’t so: The fallibility of human reason in everyday life . New York, NY: Free Press.

Heider, F. (1958). The psychology of interpersonal relations . Hillsdale, NJ: Erlbaum.

Hsee, C. K., & Hastie, R. (2006). Decision and experience: Why don’t we choose what makes us happy? Trends in Cognitive Sciences, 10 (1), 31–37.

Kelley, H. H. (1967). Attribution theory in social psychology. In D. Levine (Ed.), Nebraska symposium on motivation (Vol. 15, pp. 192–240). Lincoln: University of Nebraska Press.

Nisbett, R. E., & Ross, L. (1980). Human inference: Strategies and shortcomings of social judgment . Englewood Cliffs, NJ: Prentice Hall.

Seedat, S., Scott, K. M., Angermeyer, M. C., Berglund, P., Bromet, E. J., Brugha, T. S.,…Kessler, R. C. (2009). Cross-national associations between gender and mental disorders in the World Health Organization World Mental Health Surveys. Archives of General Psychiatry, 66 (7), 785–795.

Wells, G. L., & Hasel, L. E. (2008). Eyewitness identification: Issues in common knowledge and generalization. In E. Borgida & S. T. Fiske (Eds.), Beyond common sense: Psychological science in the courtroom (pp. 159–176). Malden, NJ: Blackwell.

Williams, N., Simpson, A. N., Simpson, K., & Nahas, Z. (2009). Relapse rates with long-term antidepressant drug therapy: A meta-analysis. Human Psychopharmacology: Clinical and Experimental, 24 (5), 401–408.

Wilson, E. O. (1998). Consilience: The unity of knowledge . New York, NY: Vintage Books

Introduction to Psychology Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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1.1: Psychology as a Science

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Learning Objectives

Explain why using our intuition about everyday behavior is insufficient for a complete understanding of the causes of behavior.
Describe the difference between values and facts and explain how the scientific method is used to differentiate between the two.

The Problem of Intuition

The problem, however, with the way people collect and interpret data in their everyday lives is that they are not always particularly thorough. Often, when one explanation for an event seems “right,” we adopt that explanation as the truth even when other explanations are possible and potentially more accurate. For example, eyewitnesses to violent crimes are often extremely confident in their identifications of the perpetrators of these crimes. But research finds that eyewitnesses are no less confident in their identifications when they are incorrect than when they are correct (Cutler & Wells, 2009; Wells & Hasel, 2008). People may also become convinced of the existence of extrasensory perception (ESP), or the predictive value of astrology, when there is no evidence for either (Gilovich, 1993). Furthermore, psychologists have also found that there are a variety of cognitive and motivational biases that frequently influence our perceptions and lead us to draw erroneous (incorrect) conclusions (Fiske & Taylor, 2007; Hsee & Hastie, 2006). In summary, accepting explanations for events without testing them thoroughly may lead us to think that we know the causes of things when we really do not.

Research Focus: Unconscious Preferences for the Letters of Our Own Name

Why Psychologists Rely on Empirical Methods

Because values cannot be considered to be either true or false, science cannot prove or disprove them. Nevertheless, as shown in Table $\PageIndex{1}$, research can sometimes provide facts that can help people develop their values. For instance, science may be able to objectively measure the impact of unwanted children on a society or the psychological trauma suffered by women who have abortions. The effect of capital punishment on the crime rate in the United States may also be determinable. This factual information can and should be made available to help people formulate their values about abortion and capital punishment, as well as to enable governments to articulate appropriate policies. Values also frequently come into play in determining what research is appropriate or important to conduct. For instance, a government may support and provide funding for research on HIV, AIDS, and terrorism, while denying funding for research using human stem cells or furthering our knowledge of climate change.

Stangor, C. (2011). Research methods for the behavioral sciences (4th ed.). Mountain View, CA: Cengage.

Levels of Explanation in Psychology

The same topic can be studied within psychology at different levels of explanation, as shown in Figure $\PageIndex{3}$. For instance, the psychological disorder known as depression affects millions of people worldwide and is known to be influenced by biological, social, and cultural factors. Studying and helping alleviate depression can be accomplished at low levels of explanation by investigating how chemicals in the brain influence the experience of depression. This approach has allowed psychologists to develop and prescribe drugs, such as Prozac (fluoxetine, a Selective Serotonin Reuptake Inhibitor), which may decrease depression in many individuals (Williams, Simpson, Simpson, & Nahas, 2009). At the middle levels of explanation, psychological therapy is directed at helping individuals cope with negative life experiences that may cause depression. And at the highest level, psychologists study differences in the prevalence of depression between men and women and across cultures. The occurrence of psychological disorders, including depression, is substantially higher for women than for men, and it is also higher in Western cultures, such as in the United States, Canada, and Europe, than in Eastern cultures, such as in India, China, and Japan (Chen, Wang, Poland, & Lin, 2009; Seedat et al., 2009). These sex and cultural differences provide insight into the factors that cause depression. The study of depression in psychology helps remind us that no one level of explanation can explain everything. All levels of explanation, from biological to personal to cultural, are essential for a better understanding of human behavior.

The Challenges of Studying Psychology

Key Takeaways

Psychology is the scientific study of mind and behavior.
Though it is easy to think that everyday situations have commonsense answers, scientific studies have found that people are not always as good at predicting outcomes as they think they are.
The hindsight bias leads us to think that we could have predicted events that we actually could not have predicted.
People are frequently unaware of the causes of their own behaviors.
Psychologists (and all other scientists) use the scientific method to collect, analyze, and interpret evidence.
Employing the scientific method allows the scientist to collect empirical data objectively, which adds to the accumulation of scientific knowledge.
Psychological phenomena are complex, and making predictions about them is difficult because of individual differences and because they are multiply determined at different levels of explanation.

Exercises and Critical Thinking

Can you think of a time when you used your intuition to analyze an outcome, only to be surprised later to find that your explanation was completely incorrect? Did this surprise help you understand how intuition may sometimes lead us astray?
Describe the scientific method in a way that someone who knows nothing about science could understand it.
Consider a behavior that you find to be important and think about its potential causes at different levels of explanation. How do you think psychologists would study this behavior?

Updates and Edits

This page was forked and modified on January 14, 2021. Slight language modifications were made and a reference to "Monday Morning Quarterbacking" was added.