tillämpad ny Flashcards

1
Q

What are the data in psychology?

A

The data in psychology are observations of behavior.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

How do facts and constructs differ?

A

How do facts and constructs differ?

Facts are those events that we can observe directly and repeatedly; each scientific discipline has its particular kinds of facts.

inferred events, such as gravity, electricity, intelligence, memory, and anxiety, are all rational ideas constructed by the researcher. not surprisingly, such ideas are called constructs. Scientists use constructs as if they exist in fact and as if they really have a relationship with observable events.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is reification of a construct?

A

What is reification of a construct?

Sometimes we use a construct so frequently that we lose sight of its analogical nature and begin to think it is a fact. For example, some people may believe there really is an id, an ego, or a superego inside each of us; these constructs take on a reality that they were never meant to have. Confusing a construct for a fact is a logical error known as reification of a construct.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Explain the two ways in which constructs relate to facts.

A

Explain the two ways in which constructs relate to facts.

Constructs are based on facts and are used to predict new facts.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What are the basic assumptions that scientists accept about the universe?

A

What are the basic assumptions that scientists accept about the universe?

A physical universe exists.
There is randomness and thus unpredictability in the universe, but it is primarily an orderly and predictable system.
We can discover the principles of this orderly universe through scientific research.
Knowledge of the universe is always incomplete. new knowledge will alter current ideas and theories. Therefore, all scientific assumptions, knowledge, and theories are tentative.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is the difference between inductive and deductive reasoning?

A

What is the difference between inductive and deductive reasoning?

Going from empirical observations to constructs is inductive reasoning; going from constructs to predictions is deductive reasoning.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is a theory, and how is it useful in science?

A

What is a theory, and how is it useful in science?

Svar : A theory is a formalized set of concepts that summarizes and organizes observations and inferences, provides tentative explanations for phenomena, and provides the foundation for making predictions.

Inductive, deductive, and functional have the same goals: organizing knowledge, predicting new observations, and explaining relationships among events. Good theories put it all together—the facts and the constructs—in an organized whole for the scientists, making it possible to move ahead in the main task of science: understanding nature.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is the difference between inductive and deductive theories?

A

What is the difference between inductive and deductive theories?

Deductive reasoning usually follows steps. First, there is a premise, then a second premise, and finally an inference. Example “All men are mortal. Harold is a man. Therefore, Harold is mortal.” For deductive reasoning to be sound, the hypothesis must be correct.

Inductive reasoning is the opposite of deductive reasoning. Basically, there is data, then conclusions are drawn from the data. We make many observations, discern a pattern, make a generalization, and infer an explanation or a theory. An example of inductive logic is, “The coin I pulled from the bag is a penny. That coin is a penny. A third coin from the bag is a penny. Therefore, all the coins in the bag are pennies.”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is a model, and how is it used in science?

A

What is a model, and how is it used in science?

A model is a description or analogy that helps scientists to understand something usually unseen or complex. Models are somewhat less developed than formal theories and are sometimes referred to as “mini-theories.” Picture a model airplane. It has the form and many characteristics of a real airplane, such as wings and rudder. Although these characteristics correspond to those of a real airplane, the model is not an exact replica. It is usually smaller, does not have all the working parts, and is constructed of balsa wood or plastic instead of metal alloys or carbon fiber.

Models represent reality; they do not duplicate it. Models are useful because constructing and examining a model helps scientists to organize knowledge and hypotheses about the reality represented by the model.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Distinguish between observation and inference.

A

Distinguish between observation and inference.

Observation means an act of monitoring, something, i.e. objects, units, persons or anything else, by using senses. In this process, the observer stays at the place of the survey and observes the objects under consideration and notes down the observations himself.

Conversely, Inference refers to the conclusion drawn based on the facts and evidence available, i.e. deductions are made as per the research made.

The act of carefully watching or examining a person or object when something is happening is known as an observation.
An act of deriving rational conclusion from known facts or circumstances is called inference. Observation is objective while inference is subjective.
Observation is what one perceives or notices. On the other hand, the inference is an explanation or assumption of what one has perceived or seen.
Observation is based on hands-on experience. Unlike inference, which relies on the facts that are already known.
Observation implies attentive monitoring of the subject under study. As opposed to inference, logically deducing a conclusion by reasoning.
Observation is an act of obtaining information without questioning respondents. As against this inference involves taking decisions about the collected information.

Observations are the facts of research, whereas inferences are inductive leaps beyond the observations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Why should we judge theories on both their usefulness and their accuracy?

A

Why should we judge theories on both their usefulness and their accuracy?

Many technically incorrect theories nevertheless make accurate predictions in many situations and therefore are useful in these situations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is meant by falsifiability in science?

A

What is meant by falsifiability in science?

If there is no outcome that would disprove the theory, it means that the theory can explain any possible outcome; a theory that can explain any possible outcome is a theory that says that “anything is possible” and that “there is no way to predict what will happen.” Theories that cannot make specific predictions about what will happen are useless in science because they cannot be tested. Once you make a specific prediction (e.g., that A will happen but not B), you open yourself up to the possibility that, when tested, the prediction will be wrong and will therefore falsify your theory.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

two main dimensions of the model of research ?

A
  1. What are the two main dimensions of the model of research presented in this section?
    The phases of research and the levels of constraint.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Name the phases of research.

A

name the phases of research.

(1) Ideagenerating
(2) Problem definition
(3) Procedures design
(4) observation
(5) data analysis
(6) Interpretation
(7) communication

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Define levels of constraint.

A

levels of constraint

Naturalistic Observation
Observing participants in their natural environment. The reasercher should do nothing to limit or change the environent or the behavior of the participants.

Case study reasearch
Moving the participants into a moderately limiting environment, intervening to a slight degree, and observing the participants responses.

Correlational Research
Quantifying the strength of the relationship between two variables. The reaserchers must carefully define and precisely follow the measurement procedures.

Differential Reaserch
Comparing two or more preexisting groups of participants. The setting is usually highly constrained, and the measurement procededures must be carefully defined and precisely followed.

Experimental Research Assigning Participants randomly to groups and then testing each group under a different condition

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is the major difference between differential and experimental research?

A

What is the major difference between differential and experimental research?

Differential Research involves comparing two or more groups of participants, like males and females, democrats and republicans, third graders and sixth graders. Whatever we measure in these groups must be measured in exactly the same way in each group; that is, the settings and observational procedures must be constrained across groups

Experimental research compares the performance of participants under different conditions. A major distinction between differential and experimental research is the way that researchers assign participants to the groups or conditions. In experimental research, the researcher randomly assigns participants to conditions. In differential research, the researcher assigns participants based on a preexisting variable (such as social class or health status) that is outside the researcher’s control.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

In which phase(s) of research do we need to consider ethical issues?

A

In which phase(s) of research do we need to consider ethical issues?

Ethical issues need to be anticipated and addressed in the procedures-design phase before proceeding any further in the research. We must also remain sensitive to ethical issues throughout the research.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Who bears the responsibility for ethical conduct of a research project?

A

Who bears the responsibility for ethical conduct of a research project?

At the heart of research ethics lies the personal responsibility of each researcher to conduct his or her work so as to enhance science and human welfare—that is, to conduct the research in an ethical manner.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

What are the main sources of research questions?

A

What are the main sources of research questions? S. 79

Svar: The main sources of research questions are your own interests and the research of other investigators.

A question is a problem in need of a solution or answer. What are the causes of child abuse? Why are some things difficult to remember? How can we get drunk drivers off the road? Why do some people become depressed? Questions are everywhere; all you have to do is observe and be curious.

The most powerful questions often come from our everyday lives. For example, you might be interested in emotions or memory, or wonder about yourself or your family members. You may be puzzled by something you observe and ask, “Why did that happen?” Any of these interests or observations can serve as a starting point for research.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

How do you distinguish between applied and basic research?

A

How do you distinguish between applied and basic research?

Svar : Applied research is designed to solve specific problems, whereas basic research is interested in finding new knowledge, without a specific application.

Much of the research in psychology is applied research—direct attempts to find solutions to practical problems. Questions for applied research in psychology are relatively easy for students to generate.

Basic research seeks to increase scientific understanding of nature without immediate concern for practical goals. knowledge is what is sought in basic research, but basic research findings are important foundations for later applied research. For example, a researcher might use information from basic research on children’s language development to create training methods for children with language deficiencies.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

What is a variable?

A

What is a variable?

Variable is any set of events with different values. Height is a variable because organisms and inanimate objects have different heights. Gender is a variable because there are more than one gender. Behavior is a variable because there are many possible behaviors. Any specific behavior, such as aggression, can be a variable because it occurs in different forms and degrees.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

How can basic research be valuable in solving practical problems?

A

How can basic research be valuable in solving practical problems?

Svar : Basic research often provides an understanding of natural phenomena, which can later be used to address practical problems.

Many studies contribute to a basic understanding of a phenomenon and also have obvious potential for translating those findings into practical application. The intent is to conduct research in which basic research findings are translated into forms that can be tested and ultimately applied in clinics, schools, hospitals, and industry. Such research has been named translational research

23
Q

What is meant by translational research?

A

What is meant by translational research?

Svar Translational research is basic research conducted with an eventual goal of “translating” the information into applied uses.

Some research spans the two areas; it is basic research with major potential for near-term practical applications. Translational research, aims at “translating basic research into tools and interventions that can be used to diagnose, treat, and prevent disease” modern cognitive behavior therapy (CBT) as an example

24
Q

Define independent and dependent variables. How do investigators use them in research?

A

Define independent and dependent variables. How do investigators use them in research?

Svar The independent variable is the variable that the researcher manipulates, and the dependent variable is the variable that the research measures and expects will change as a result of the independent-variable manipulation.

The variables that the experimenter manipulates are the independent variables. The participant’s responses to these manipulations are the dependent variables. For example, suppose that a researcher hypothesizes that verbal criticism and aggression escalate as frustration increases.
The variables in this study are frustration (the independent variable) and verbal criticism/aggression (the dependent variable).

25
Q

Define manipulated and non-manipulated independent variables.

A

Svar : Manipulated independent variables are actively controlled by the researcher, whereas nonmanipulated independent variables are defined by preexisting characteristics of participants.

There are two kinds of independent variables: manipulated independent variables and nonmanipulated independent variables. Manipulated independent variables are those that the experimenter actively controls, such as the frustration level in the preceding study.

Nonmanipulated independent variables, researchers assign participants to groups based on preexisting characteristics. The largest category of nonmanipulated independent variables in psychology are organismic variables—preexisting characteristics of the participants, such as IQ, age, and political affiliation. The researcher does not actively manipulate such variables but, rather, assigns participants to groups based on them.

For example, moral problem-solving skills in children vary by age.

26
Q

What does it mean to hold a variable constant in research?

A

What does it mean to hold a variable constant in research?

Svar : Holding a variable constant involves preventing the variable from varying. For example, the researcher can hold the variable of age constant by testing only those participants who are of a particular age.

Research deals with events. When the events vary—that is, occur at different levels or amounts—they are variables. When researchers constrain events to a fixed value, the events become constants. A constant is thus a set of events that the researcher prevents from varying.

A variable in one research study might be a constant in another. For example, a researcher might wish to study the effects of hormones on animal learning. Suppose that earlier research suggested that the response to specific hormones varies depending on the age and sex of the animals. The researcher decides to hold these two variables constant and uses only four-month-old male rats. Thus, sex and age are constants in this study, and therefore, they do not affect the outcome of the research.

27
Q

What are extraneous variables?

A

What are extraneous variables?

Svar Extraneous variables are uncontrolled factors that can affect the outcome of a study.

Extraneous variables are unplanned and uncontrolled factors that can arise in a study and affect the outcome. Consequently, researchers must control extraneous variables to avoid their potential effects.

Suppose that a researcher is studying academic learning and the dependent variable is course grade based on examinations. Distractions during the examinations could be extraneous variables, and it would be wise to hold the examinations in a quiet room to remove this potential extraneous variable.

28
Q

Why must we control extraneous variables in research?

A

Why must we control extraneous variables in research?

Uncontrolled extraneous variables can distort research findings.

29
Q

What is validity?

A

What is validity?

Svar Validity refers to how well a study, procedure, or measure does what it is supposed to do.

Validity is one of the most important concepts in research. It is a complex idea, and there are many types of validity. In a general sense, they all refer to the quality or precision of a study, a procedure, or a measure—to “how well” each does what it is supposed to do. Some common validity questions follow:

Does this study really answer the question it posed?

Does this test measure what we want it to measure?

What does this laboratory study reveal about the real world?

30
Q

What do controls have to do with validity?

A

What do controls have to do with validity?

Controls reduce the effects of extraneous variables and thus increase our confidence in the validity of the research findings.

31
Q

What is informed consent? How is it obtained, and why is it important?

A

What is informed consent? How is it obtained, and why is it important?

Svar Informed consent refers to a person’s agreement to participate in a study after being fully informed about the study and its risks. It is obtained in writing. It is important because it addresses moral issues about violating people’s rights by giving people a choice of whether they will participate in a study.

informed consent is a critical basic safeguard. It means that researchers must provide participants with enough information about the research to enable them to make reasonable, informed decisions about their participation.

If the participants are children or have mental or emotional disorders, they may have difficulty in understanding the information or in giving consent. Children, being minors, cannot legally give consent at all. This puts even greater responsibility on the researcher to protect the well-being of research participants. Under these circumstances, one or more people are entrusted to protect the rights of the participants—a parent or school or hospital administrator, for example. They have legal and moral authority to give consent for children’s research participation.

32
Q

What are Institutional Review Boards? What do they do?

A

What are Institutional Review Boards? What do they do?

Svar Institutional Review Boards are groups set up at universities, hospitals, and research centers to screen research proposals for risks and ethical safeguards.

Consist of researchers’ peers and members of the community at large. Universities, research institutes, hospitals, and school systems establish IRBs to review research proposals to see if they meet ethical guidelines.

When it functions well, an IRB is a helpful advisory group that expedites research, advises researchers, suggests improvements, and assists researchers in clarifying and solving potential ethical issues.

33
Q

What are the major ethical principles applicable to research with animals?

A

What are the major ethical principles applicable to research with animals?

Svar Animals cannot give informed consent, and the research carried out on animals is often more invasive than that carried out on humans. The ethical focus is on providing animals with humane care and minimizing discomfort and pain.

First, animals are captive participants and are not capable of providing informed consent. Second, research carried out on animals is generally more invasive than that carried out on humans, and animal participants often incur more serious risks than human participants. Therefore, researchers must assume more responsibility for ensuring that they treat the animals in their research humanely.

34
Q

What is meant by diversity issues in research?

A

What is meant by diversity issues in research?

Diversity refers to how well the research sample represents various ethnic, cultural, age, and gender groups. In psychological and medical research, researchers have traditionally underrepresented women, children, and many ethnic groups. Consequently, much of our research information might not apply to everyone in our increasingly heterogeneous society.

For example, early medical researchers tested the efficacy of some medical treatments almost exclusively on adult Caucasian males. Doctors then applied the treatments to patients in general, on the assumption that the treatment will work for everyone. However, treatments that are effective for Caucasian men might not be effective for women, children, or ethnic minorities, and therefore, these people may have been put at a medical disadvantage.

35
Q

What is measurement? S98

A

What is measurement? S98

Svar Measurement is assigning numbers to represent the level of a variable.

The major task in measurement is to represent the research variables numerically, that is, to assign numbers that represent values of the variable. The measurements for each participant constitute the data, which will later be analyzed and interpreted.

36
Q

Why is accurate measurement so critical?

A

Why is accurate measurement so critical?

Without accurate measurement, we cannot be confident of the accuracy of the conclusions of our research.

37
Q

What are the important properties of the abstract number system?

A

What are the important properties of the abstract number system?

identity: Each number has a particular meaning.

Magnitude: Numbers have an inherent order from smaller to larger.

equal intervals: The difference between units is the same anywhere on the scale.

true zero: A nonarbitrary point indicating a zero level of the variable being measured.

38
Q

What are the important properties of the abstract number system?

A

What are the important properties of the abstract number system?

identity: Each number has a particular meaning.

Magnitude: Numbers have an inherent order from smaller to larger.

equal intervals: The difference between units is the same anywhere on the scale.

true zero: A nonarbitrary point indicating a zero level of the variable being measured.

39
Q

List and define the four scales of measurement.

A

List and define the four scales of measurement.

Nominal scales are at the lowest level of measurement; they do not match the number system well. Nominal scales are “naming scales,” and their only property is identity. Such dependent variables as place of birth (Chicago, Toronto, Tokyo, Nyack, Chippewa Falls), brand name choice (Ford, Honda, Volvo)

Ordinal scales have the property of magnitude as well as identity. They measure a variable in order of magnitude, with larger numbers representing more of the variable than smaller numbers. How much more is unclear in an ordinal scale. For example, using socioeconomic class as a variable, we could categorize participants as belonging to the lower, middle, or upper socioeconomic class.

Interval scales have the properties of ordinal scales in addition to equal intervals between consecutive values on the scale. Thus, interval scales come close to matching the number system, but still do not have a true zero point.

The most commonly used example of an interval scale is the measurement of temperature on either the Fahrenheit or the Celsius scale. The units of the thermometer are at equal intervals representing equal volumes of mercury. Therefore, 90° is hotter than 45°, and the difference in temperature between 60° and 70° is the same as the difference between 30° and 40°. However, the zero point on this scale is arbitrary and not a true zero point; that is, a temperature of 0° does not indicate a total absence of heat.

Ratio scales provide the highest level of measurement and are the scientist’s “measurement ideal” Ratio scales have all the properties of the preceding scales (identity, magnitude, and equal intervals) as well as a true zero point. Ratio scales provide the best match to the number system, which means that all mathematical operations are possible on ratio scales. Such physical dimensions as weight, distance, length, volume, number of responses, and time are measured on ratio scales.

40
Q

four scale of measurement

What type of data does each scale produce?

A

What type of data does each scale produce?

We call the data from nominal scales nominal data or categorical data.
Data measured on ordinal scales are called ordered data.
We refer to data measured on interval or ratio scales as score data.

41
Q

four scales of measurement

What are the properties of each scale of measurement?

A

What are the properties of each scale of measurement?

Nominal scales have the property of identity; ordinal scales have the properties of identity and magnitude; interval scales have the properties of identity, magnitude, and equal intervals; ratio scales have the properties of identity, magnitude, equal intervals, and a true zero.

42
Q

Four scale os measurement

What is the concept of true zero? What is its importance in measurement?

A

What is the concept of true zero? What is its importance in measurement?

A true zero means that zero on the scale represents a zero level of the property being measured. When a scale has a true zero, taking the ratio of two measures on the scale provides a meaningful number.

43
Q

What is the best way to reduce measurement error in research?

A

What is the best way to reduce measurement error in research?

The best way to minimize measurement error is to develop well-thought-out operational definitions and follow them exactly.

44
Q

How do operational definitions transform theoretical concepts into concrete events?

A

How do operational definitions transform theoretical concepts into concrete events?

Operational definitions transform theoretical variables into concrete events by stating precisely how these variables are to be measured.

45
Q

What is social desirability bias in research? How might it affect research?

A

What is social desirability bias in research? How might it affect research?

Social desirability is participants’ tendency to respond in what they believe to be the most socially acceptable manner. Such response tendencies distort measures and therefore threaten the validity of research.

46
Q

Explain the concept of convergent validity. What is its importance?

A

Explain the concept of convergent validity. What is its importance?

Convergent validity involves multiple lines of research converging on the same conclusions, which increases confidence that the phenomenon is consistent.

47
Q

Define reliability and list the types of reliability.

A

Define reliability and list the types of reliability.

Reliability refers to the constancy of a measure. The types of reliability are interrater reliability, test-retest reliability, and internal consistency reliability.

48
Q

Can a measure be reliable but not valid?

Can it be valid but not reliable?

A

Can a measure be reliable but not valid? Can it be valid but not reliable?

Measures can be reliable without being valid, but cannot be valid without being reliable

49
Q

Why must the effective range of a measure be appropriate for the study’s sample?

A

Why must the effective range of a measure be appropriate for the study’s sample?

If the effective range of a scale is inadequate, the data will be distorted.

50
Q

What are floor and ceiling effects?

A

What are floor and ceiling effects?

Floor effects occur when the scores bunch at the bottom of the scale, whereas ceiling effects occur when scores bunch near the top of the scale.

51
Q

How is validity different from reliability?

A

How is validity different from reliability?

Reliability refers to the consistency of a measure, whereas validity refers to its accuracy.

52
Q

Why might a researcher be tempted to fabricate data?

A

Why might a researcher be tempted to fabricate data?

A researcher might be tempted to fabricate data for personal, financial, or political gain.

53
Q

What are the usual methods for detecting fraudulent data?

A

What are the usual methods for detecting fraudulent data?

Most data fabrication is uncovered in the peer review process or because the findings will not replicate in the labs of other scientists.