WORKSHOP PRODUCT 2

MY BIODATA

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MY WORKSHOP PRODUCT

DAY - 1   (08/02/21)

1.APA FORMATTED WORD FILE

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2. GRADE FILE WITH GRAPH

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3.SPEECH NOTE IN ANCHOR FM

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4.VIDEO CONTENT IN MY YOU TUBE CHANNEL

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DAY - 2  (09/02/21)

1. POWER POINT

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2.ONE QUIZ WITH 10 QUESTIONS

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DAY - 3 (10/02/21)

1. BLOG CREATION

 BLOD ADDRESS - sujeesha.blogspot.com

DAY - 4  (11/02/21)

1. MOODLE 

MODLE ADDRESS - sujeesha.xeted.com

DAY - 5 (12/02/21)

GOOGLE FORM WITH E-CERTIFICATE CREATION 

EXTRANEOUS VARIABLE

EXTRANEOUS VARIABLE

 Extraneous variables are all variables, which are not the independent variable, but could affect the results of the experiment.

The researcher wants to make sure that it is the manipulation of the independent variable that has an effect on the dependent variable.

Hence, all the other variables that could affect the dependent variable to change must be controlled. These other variables are called extra

There are four types of extraneous variables:

1. Situational Variables

These are aspects of the environment that might affect the participant’s behavior, e.g. noise, temperature, lighting conditions, etc. Situational variables should be controlled so they are the same for all participants.

Standardized procedures are used to ensure that conditions are the same for all participants. This includes the use of standardized instructions

2. Participant / Person Variable

This refers to the ways in which each participant varies from the other, and how this could affect the results e.g. mood, intelligence, anxiety, nerves, concentration etc.

For example, if a participant that has performed a memory test was tired, dyslexic or had poor eyesight, this could effect their performance and the results of the experiment. The experimental design chosen can have an affect on participant variables.

Situational variables also include order effects that can be controlled using counterbalancing, such as giving half the participants condition 'A' first, while the other half get condition 'B' first. This prevents improvement due to practice, or poorer performance due to boredom.

Participant variables can be controlled using random allocation to the conditions of the independent variable.

3. Experimenter / Investigator Effects

The experimenter unconsciously conveys to participants how they should behave - this is called experimenter bias.

The experiment might do this by giving unintentional clues to the participants about what the experiment is about and how they expect them to behave. This affects the participants’ behavior.

The experimenter is often totally unaware of the influence which s/he is exerting and the cues may be very subtle but they may have an influence nevertheless.

Also, the personal attributes (e.g. age, gender, accent, manner etc.) of the experiment can affect the behavior of the participants.

4. Demand Characteristics

Demand characteristics are all the clues in an experiment which convey to the participant the purpose of the research. Demand characteristics can change the results of an experiment if participants change their behavior to conform to expectations.

Participants will be affected by: (i) their surroundings; (ii) the researcher’s characteristics; (iii) the researcher’s behavior (e.g. non-verbal communication), and (iv) their interpretation of what is going on in the situation.

Experimenters should attempt to minimize these factors by keeping the environment as natural as possible, carefully following standardized procedures. Finally, perhaps different experimenters should be used to see if they obtain similar results.neous or confounding variables.